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this.isValid()?this.toISOString():null},J.toISOString=function(){return this.$d.toISOString()},J.toString=function(){return this.$d.toUTCString()},H})(),z=L.prototype;return M.prototype=z,[["$ms",s],["$s",o],["$m",l],["$H",c],["$W",d],["$M",p],["$y",y],["$D",x]].forEach((function(H){z[H[1]]=function(J){return this.$g(J,H[0],H[1])}})),M.extend=function(H,J){return H.$i||(H(J,L,M),H.$i=!0),M},M.locale=j,M.isDayjs=O,M.unix=function(H){return M(1e3*H)},M.en=N[I],M.Ls=N,M.p={},M}))})(ix)),ix.exports}var Ede=Sde();const Pr=Mr(Ede);var ox={exports:{}},Ide=ox.exports,rB;function Ade(){return rB||(rB=1,(function(t,e){(function(n,r){t.exports=r()})(Ide,(function(){var n="minute",r=/[+-]\d\d(?::?\d\d)?/g,a=/([+-]|\d\d)/g;return function(s,o,l){var c=o.prototype;l.utc=function(b){var _={date:b,utc:!0,args:arguments};return new o(_)},c.utc=function(b){var _=l(this.toDate(),{locale:this.$L,utc:!0});return b?_.add(this.utcOffset(),n):_},c.local=function(){return l(this.toDate(),{locale:this.$L,utc:!1})};var d=c.parse;c.parse=function(b){b.utc&&(this.$u=!0),this.$utils().u(b.$offset)||(this.$offset=b.$offset),d.call(this,b)};var f=c.init;c.init=function(){if(this.$u){var b=this.$d;this.$y=b.getUTCFullYear(),this.$M=b.getUTCMonth(),this.$D=b.getUTCDate(),this.$W=b.getUTCDay(),this.$H=b.getUTCHours(),this.$m=b.getUTCMinutes(),this.$s=b.getUTCSeconds(),this.$ms=b.getUTCMilliseconds()}else f.call(this)};var p=c.utcOffset;c.utcOffset=function(b,_){var E=this.$utils().u;if(E(b))return this.$u?0:E(this.$offset)?p.call(this):this.$offset;if(typeof b=="string"&&(b=(function(I){I===void 0&&(I="");var N=I.match(r);if(!N)return null;var D=(""+N[0]).match(a)||["-",0,0],O=D[0],j=60*+D[1]+ +D[2];return j===0?0:O==="+"?j:-j})(b),b===null))return this;var A=Math.abs(b)<=16?60*b:b;if(A===0)return this.utc(_);var S=this.clone();if(_)return S.$offset=A,S.$u=!1,S;var k=this.$u?this.toDate().getTimezoneOffset():-1*this.utcOffset();return(S=this.local().add(A+k,n)).$offset=A,S.$x.$localOffset=k,S};var g=c.format;c.format=function(b){var _=b||(this.$u?"YYYY-MM-DDTHH:mm:ss[Z]":"");return g.call(this,_)},c.valueOf=function(){var b=this.$utils().u(this.$offset)?0:this.$offset+(this.$x.$localOffset||this.$d.getTimezoneOffset());return this.$d.valueOf()-6e4*b},c.isUTC=function(){return!!this.$u},c.toISOString=function(){return this.toDate().toISOString()},c.toString=function(){return this.toDate().toUTCString()};var y=c.toDate;c.toDate=function(b){return b==="s"&&this.$offset?l(this.format("YYYY-MM-DD HH:mm:ss:SSS")).toDate():y.call(this)};var x=c.diff;c.diff=function(b,_,E){if(b&&this.$u===b.$u)return x.call(this,b,_,E);var A=this.local(),S=l(b).local();return x.call(A,S,_,E)}}}))})(ox)),ox.exports}var Tde=Ade();const PC=Mr(Tde);var lx={exports:{}},kde=lx.exports,aB;function Rde(){return aB||(aB=1,(function(t,e){(function(n,r){t.exports=r()})(kde,(function(){return function(n,r){r.prototype.weekday=function(a){var s=this.$locale().weekStart||0,o=this.$W,l=(o<s?o+7:o)-s;return this.$utils().u(a)?l:this.subtract(l,"day").add(a,"day")}}}))})(lx)),lx.exports}var Nde=Rde();const SY=Mr(Nde);Pr.extend(PC);Pr.extend(SY);class Dde{_channels={};_wildcardChannel;

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Error?r.stack||r.message:String(r);console.error(`Error in observer "${e.name}" ${a}`)}}class EY extends Dde{createObservable(e){return new z4}}function G1(t,e){let n=null,r=null;return function(){return n||(r=t.apply(e,arguments),n=!0),r}}class Pde{constructor(e,n,r){this.value=e,this.prev=n,this.next=r}}class Ode{_yieldResult;_returnResult;constructor(e){this._next=e}next(){if(this._next==null)return this._returnResult?this._returnResult:this._returnResult={done:!0,value:void 0};const e=this._next.value;return this._yieldResult?this._yieldResult.value=e:this._yieldResult={done:!1,value:e},this._next=this._next.next,this._yieldResult}}const ib={ON_GIVE:1,ON_TAKE:2,ON_MAKE:4};class n8{static DEFAULT_BACKING_SIZE=16;static createClass(e,n){class r extends n8{}return Object.assign(r.prototype,{make:e,clean:n}),r}static create(e,n){return new(n8.createClass(e,n))}_items=new Array(n8.DEFAULT_BACKING_SIZE);_cursor=-1;_strategy=ib.ON_GIVE;get size(){return this._cursor+1}give(e){return this._cursor>=this._items.length&&(this._items.length>>=1),this._items[++this._cursor]=e,this._strategy&ib.ON_GIVE&&this.clean(e),this}take(){if(this._cursor<0){const e=this.make();return this._strategy&ib.ON_MAKE&&this.clean(e),e}else{const e=this._items[this._cursor--];return this._strategy&ib.ON_TAKE&&this.clean(e),e}}make(){throw new Error("Method not implemented")}clean(e){}}class Mde extends n8{make(){return new Pde}clean(e){e.next=e.prev=e.value=void 0}}class V4{static _nodePool;static getNodePool(){return V4._nodePool||(V4._nodePool=new Mde)}_nodePool;_head;_tail;_size=0;get size(){return this._size}pushHead(e){if(this._head)return this.insertBefore(this._head,e);const n=this._head=this._tail=this.getNodePool().take();return n.value=e,this._size++,this}pushTail(e){if(this._tail)return this.insertAfter(this._tail,e);const n=this._head=this._tail=this.getNodePool().take();return n.value=e,this._size++,this}popHead(){if(this._head==null)return;const e=this._head.value;return this._head=this._head.next,this._head?delete this._head.prev:delete this._tail,this._size--,e}popTail(){if(this._tail==null)return;const e=this._tail.value;return this._tail=this._tail.prev,this._tail?delete this._tail.next:delete this._head,this._size--,e}getNodePool(){return this._nodePool||(this._nodePool=V4.getNodePool())}insertBeforeIndex(e,n){if(e==this._size)return this.pushTail(n);if(e<0||e>=this._size)throw new Error(`Invalid insert-before index ${e} for size ${this.size}`);let r=this._head;for(let a=0;a<e;a++)r=r.next;return this.insertBefore(r,n)}insertAfterIndex(e,n){if(e==-1)return this.pushHead(n);if(e<0||e>=this._size)throw new Error(`Invalid insert-after index ${e} for size ${this.size}`);let r=this._head;for(let a=0;a<e;a++)r=r.next;return this.insertBefore(r,n)}removeFirst(e){let n=this._head;if(typeof e=="function"){const a=e;for(;n;){if(a(n.value))return this.removeNode(n),!0;n=n.next}}else if(n!=null&&n.value===e){const a=e;for(;n;){if(n.value===a)return this.removeNode(n),!0;n=n.next}}return!1}removeAll(e){let n=this._head,r=!1;if(typeof e=="function"){const s=e;for(;n;)s(n.value)&&(this.removeNode(n),r=!0),n=n.next}else if(n!=null&&n.value===e){const s=e;for(;n;)n.value===s&&(this.removeNode(n),r=!0),n=n.next}return r}clear(){const e=this.getNodePool();let n=this._head;for(;n;)e.give(n),n=n.next;this._head=this._tail=void 0,this._size=0}[Symbol.iterator](){return new Ode(this._head)}insertBefore(e,n){const r=this.getNodePool().take();return r.value=n,r.next=e,r.prev=e.prev,e.prev=r,r.prev&&(r.prev.next=r),e==this._head&&(this._head=r),this._size++,this}insertAfter(e,n){const r=this.getNodePool().take();return r.value=n,r.prev=e,r.next=e.next,e.next=r,r.next&&(r.next.prev=r),e==this._tail&&(this._tail=r),this._size++,this}removeNode(e){return this.getNodePool().give(e),this}}class Lde{constructor(e,n){this.key=e,this.value=n}}let Zx=class Vs{static _cache=new WeakMap;static unknown(e,n=1/0){switch(typeof e){case"undefined":return 0;case"boolean":return+e;case"number":return Vs.number(e);case"bigint":return Vs.bigint(e);case"symbol":return Vs.symbol(e);case"string":return Vs.string(e);case"function":return Vs.function(e);default:return Vs.object(e,n)}}static object(e,n=1){if(e==null)return 0;if(n<1)return 1;if(Vs._cache.has(e))return Vs._cache.get(e);let r=0;if("hashcode"in e){if(typeof e.hashcode=="number")r=e.hashcode;else if(typeof e.hashcode=="function")try{const a=e.hashcode();if(typeof a!="number")throw new TypeError(`function returned type "${typeof a}"`);r=a}catch(a){const s=String(a?.stack||a),o=e.constructor.name;console.warn(`Expected ${o}.hashcode to return a number without arguments:
3${s}`)}}else Array.isArray(e)?r=Vs.list(e,n):Symbol.iterator in e?r=Vs.list(Array.from(e),n):r=Vs.list(Object.entries(e).sort(Vs.compareEntries),n);return Vs._cache.set(e,r),r}static compareEntries(e,n){return e[0].localeCompare(n[0])}static list(e,n=1){let r=0;if(Array.isArray(e))for(let a=0;a<e.length;a++)r=31*r+Vs.unknown(e[a],n-1)>>>0;else for(const a of e)r=31*r+Vs.unknown(a,n-1)>>>0;return r}static string(e){let n=0;for(let r=0;r<e.length;r++)n=31*n+e.charCodeAt(r)>>>0;return n}static listOfStrings(e){let n=0;if(typeof e=="string"){const r=e;for(let a=0;a<r.length;a++)n=31*n+r.charCodeAt(a)>>>0}else if(Array.isArray(e))for(let r=0;r<e.length;r++){const a=e[r];for(let s=0;s<a.length;

3s++)n=31*n+a.charCodeAt(s)>>>0}else for(const r of e)for(let a=0;a<r.length;a++)n=31*n+r.charCodeAt(a)>>>0;return n}static int(e){return e>>>0}static listOfInts(e){let n=0;if(Array.isArray(e))for(let r=0;r<e.length;r++)n=31*n+(e[r]>>>0)>>>0;else for(const r of e)n=31*n+(r>>>0)>>>0;return n}static number(e){return(e^e*4294967296)>>>0}static listOfNumbers(e){let n=0;if(Array.isArray(e))for(let r=0;r<e.length;r++){const a=e[r];n=31*n+((a^a*4294967296)>>>0)>>>0}else for(const r of e)n=31*n+((r^r*4294967296)>>>0)>>>0;return n>>>0}static function(e){return Vs.string(e.name)}static symbol(e){return Vs.string(e.toString())}static bigint(e){return Vs.string(e.toString())}static distribute(e){return e+=~(e<<9),e^=e>>>14,e+=e<<4,e^=e>>>10,e}};class Jx{static DEFAULT_LOAD_FACTOR=.75;static DEFAULT_INITIAL_SIZE=16;_hcache=new WeakMap;_size=0;_suppressCache=!1;constructor({loadFactor:e=Jx.DEFAULT_LOAD_FACTOR,initialSize:n=Jx.DEFAULT_INITIAL_SIZE}={}){this._loadFactor=e,this._slots=new Array(n)}get size(){return this._size}hasCore(e){const n=this.getHash(e),r=this.getSlot(n);if(!r)return!1;for(const a of r)if(this.compareKeys(e,a.key))return!0;return!1}getHash(e){if(this._suppressCache)return Zx.distribute(this.computeHash(e));if(this._hcache.has(e))return this._hcache.get(e);const n=Zx.distribute(this.computeHash(e));return this._hcache.set(e,n),n}computeHash(e){return e?.valueOf()>>>0}compareKeys(e,n){return e===n}getCore(e){const n=this.getHash(e),r=this.getSlot(n);if(r){for(const a of r)if(this.compareKeys(e,a.key))return a.value}}setCore(e,n){const r=this.getHash(e);let a=this.getOrCreateSlot(r);for(const s of a)if(this.compareKeys(e,s.key))return s.value=n,this;return a.pushTail(new Lde(e,n)),++this._size>this._loadFactor*this._slots.length&&this.resizeAndRehash(),this}deleteCore(e){const n=this.getHash(e),r=this.getSlot(n);if(!r)return!1;for(const a of r)if(this.compareKeys(e,a.key))return r.removeFirst(a),!0;return!1}clearCore(){return this._slots=new Array(this._slots.length),this._size=0,this}resizeAndRehash(){const e=this._size,n=this._slots;this._slots=new Array(n.length<<1);for(let r=0;r<n.length;r++){const a=n[r];if(a)for(const s of a)this.setCore(s.key,s.value)}return this._size=e,this}getSlot(e){const n=(e>>>0)%this._slots.length;return this._slots[n]}createSlot(){return new V4}getOrCreateSlot(e){const n=(e>>>0)%this._slots.length;return this._slots[n]||(this._slots[n]=new V4)}}class Qx extends Jx{static createClass({hashcode:e,equals:n}){class r extends Qx{constructor(s){super(s)}}return Object.assign(r.prototype,{computeHash:e,compareKeys:n}),r}static create({hashcode:e,equals:n,initialSize:r,loadFactor:a}){return new(Qx.createClass({hashcode:e,equals:n}))({initialSize:r,loadFactor:a})}has(e){return this.hasCore(e)}get(e){return this.getCore(e)}set(e,n){return this.setCore(e,n)}delete(e){return this.deleteCore(e)}clear(){return this.clearCore()}[Symbol.iterator](){return this.entries()}*keys(){for(const e of this._slots)if(e)for(const n of e)yield n.key}*values(){for(const e of this._slots)if(e)for(const n of e)yield n.value}*entries(){for(const e of this._slots)if(e)for(const n of e)yield[n.key,n.value]}}class To{static strict(e,n){return e===n}static deep(e,n){return To.unknown(e,n,1/0)}static unknown(e,n,r=1){if(e===n)return!0;if(typeof e!=typeof n)return!1;switch(typeof e){case"string":case"symbol":case"function":case"bigint":case"boolean":case"undefined":return!1;case"number":return Number.isNaN(e)===Number.isNaN(n);default:return Array.isArray(e)?Array.isArray(n)?To.lists(e,n,r):!1:To.dicts(e,n,r)}}static unknownShallow(e,n){return To.unknown(e,n)}static lists(e,n,r=1){if(e==n)return!0;if(r==0||e.length!==n.length)return!1;for(let a=0;a<e.length;a++)if(!To.unknown(e[a],n[a],r-1))return!1;return!0}static listsShallow(e,n){return To.lists(e,n)}static dicts(e,n,r=1){if(e==n)return!0;if(r==0||e.constructor!==n.constructor)return!1;for(const a in e)if(!(a in n&&To.unknown(e[a],n[a],r-1)))return!1;for(const a in n)if(!(a in e))return!1;return!0}static dictsShallow(e,n){return To.dicts(e,n)}static all(e,n=1){for(let r=1;r<e.length;r++)if(!To.unknown(e[0],e[r],n))return!1;return!0}static allShallow(e){for(let n=1;n<e.length;n++)if(!To.unknown(e[0],e[n],1))return!1;return!0}}let Ks=class Ml{static protocolMatcher=/^\s*(file|http|ws)s?:\/\//i;static domainMatcher=/^\s*([A-z\d]+\.)/i;static domainRelativeMatcher=/^\s*\/[A-z\d]+/i;static isResolved(e){return Ml.protocolMatcher.test(e)}static isWebSocketURL(e){return Ml.protocolMatcher.exec(e)?.[1]?.toLowerCase()==="ws"}static isFileSystemURL(e){return Ml.protocolMatcher.exec(e)?.[1]?.toLowerCase()==="file"}static isDomainRelative(e){return Ml.domainRelativeMatcher.test(e)}static isLocationRelative(e){return!(Ml.isDomainRelative(e)||Ml.isResolved(e))}static joinURLParts(...e){return e.map(n=>

3n.split("/")).flat().filter(Boolean).join("/").trim().replace(/^/,e[0]?.startsWith("/")?"/":"").replace(/$/,e[e.length-1]?.endsWith("/")?"/":"").replace(/\/+/g,"/").replace(/((http|ws)s?:)\/+/,"$1//")}constructor(...e){this.baseURL=Ml.joinURLParts(...e)||"/"}relativeURL(...e){const n=this.resolveURL(...e);if(n.startsWith(this.baseURL))return n.slice(this.baseURL.length);throw new Error("UrlBuilder does not support relative URL's outside the baseURL")}resolveURL(...e){let n=Ml.joinURLParts(...e);return n?Ml.isResolved(n)?n:Ml.isDomainRelative(n)?Ml.joinURLParts(this.baseURL,n):Ml.joinURLParts(this.baseURL,n):this.baseURL}};class IY extends z4{_memento;_omitUnchanged=!1;omitUnchanged(){return this._omitUnchanged=!0,this}emitUnchanged(){return this._omitUnchanged=!1,this}hasMemento(){return this._memento!=null}getMemento(){return this._memento}observe(e,n=!1){const r=super.observe(e);return n&&this.hasMemento()&&this.tryNotifyObserver(e,this.getMemento()),r}notify(...e){if(this._omitUnchanged&&this._memento&&!To.unknownShallow(this._memento,e))return this;for(const n of this._observers.keys())this.tryNotifyObserver(n,e);return this._memento=e,this}}class jde extends IY{constructor(...e){super(),this._memento=e}hasMemento(){return!0}getMemento(){return this._memento}}class rP{static ERR_DISPOSE="Unable to dispose";_isDisposed=!1;get isDisposed(){return this._isDisposed}dispose(){if(!this._isDisposed)try{this.disposeCore(),this._isDisposed=!0}catch(e){throw new Error(`${rP.ERR_DISPOSE} ${this.constructor.name}: ${String(e?.stack||e?.message||e)}`)}}disposeCore(){}}class r8{static _disposeMethods=new WeakMap;static getDisposeCallback(e){let n;return typeof e=="object"?(n=r8._disposeMethods.get(e),n||(n=r8.registerDisposeCallback(n,e))):n=e,n}static registerDisposeCallback(e,n){return e=()=>{n.dispose()},r8._disposeMethods.set(n,e),e}}class Fde extends z4{observe(e){return super.observe(r8.getDisposeCallback(e))}}class aP extends rP{_onDispose=new Fde;get onDispose(){return this._onDispose}addDisposable(e){return this._onDispose.observe(e)}disposeCore(){this._onDispose.notify({type:"dispose",target:this})}}class AY{_cursor=0;_requests=new Array;_size=0;_requestedEvent={type:"requested",target:this};_releasedEvent={type:"released",target:this};_allReleasedEvent={type:"all-released",target:this};_onRequest=new z4;_onReleased=new z4;_onAllReleased=new z4;get onRequested(){return this._onRequest}get onReleased(){return this._onReleased}get onAllReleased(){return this._onReleased}get total(){return this._cursor}get size(){return this._size}request(){this._size++;const e=this._cursor++,n=e>>>5,a=1<<(e&31);return this._requests[n]|=a,this._onRequest.notify(this._requestedEvent),this.release.bind(this,e)}clear(){this._size&&(this._size=0,this._requests.fill(0),this._onReleased.notify(this._releasedEvent),this._onAllReleased.notify(this._allReleasedEvent))}release(e){if(e>=this._cursor)return;const n=e>>>5,a=1<<(e&31);this._requests[n]&a&&(this._size--,this._requests[n]&=~a,this._onReleased.notify(this._releasedEvent))}}class av extends aP{static createClass(e,n){class r extends av{static Map=Qx.createClass(e);_services=new r.Map;createService(){throw new Error("Method not implemented")}}return Object.assign(r.prototype,{createService:n}),r}static create(e,n){return new(av.createClass(e,n))}exists(...e){return this._services.has(e)}acquire(...e){return this._services.get(e)?.service}require(...e){let n,r;if(this._services.has(e))({service:n,requests:r}=this._services.get(e));else{r=new AY,n=this.createService(...e);const s={requests:r,service:n};r.onRequested.observe(()=>{this.onRequested(s,...e)}),r.onReleased.observe(()=>{this.onReleased(s,...e)}),r.onAllReleased.observe(()=>{this.onAllReleased(s,...e)}),this._services.set(e,s)}const a=r.request();return[n,a]}await(...e){throw new Error("Method not implemented.")}onRequested(e,...n){}onReleased(e,...n){}onAllReleased(e,...n){}}class G4{static createClass(e){class n extends G4{createService(){throw new Error("Method not implemented")}}return Object.assign(n.prototype,{createService:e}),n}static create(e){return new(G4.createClass(e))}service;requests=new AY;constructor(){this.requests.onAllReleased.observe(()=>{this.onAllReleased()})}exists(){return this.service!=null}acquire(){return this.service||void 0}require(){const e=this.requests.request();return this.service!=null?[this.service,e]:(this.service=this.createService(),[this.service,e])}await(){throw new Error("Method not implemented.")}onAllReleased(){}}const OC="https://databento.com",lo="/",Fc="/login",Bde="/consent",Gv="/reset-password",sP=`${Gv}/auth`,TY=`${Gv}/create`,kY="/email_update/confirm-email",Ci="/signup",Sh=`${Ci}/confirm-otp`,iP=`${Ci}/confirm-email`,RY=`${Ci}/redirect`,Wv="/invite",NY=`${Wv}/contact-info`,Eh=`${Ci}/contact`,wf=`${Ci}/payment`,Ude=`${Ci}/complete`,DY=`${Wv}/payment`,PY=`${Wv}/invalid`,$de="/teams/invite",oP=Ks.joinURLParts(OC,"about"),lP="/careers",cP="/contact",Vl="/datasets",Pd="/catalog",MC="/request-builder",vl="/pricing";Ks.joinURLParts(OC,"startups");Ks.joinURLParts(OC,"pcaps");Ks.joinURLParts(OC,"historical");const qa="/portal",K7t=`${qa}/licensing`,Of=`${qa}

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T.is=="string"?u=ne.createElement(C,{is:T.is}):(u=ne.createElement(C),C==="select"&&(ne=u,T.multiple?ne.multiple=!0:T.size&&(ne.size=T.size))):u=ne.createElementNS(u,C),u[uc]=h,u[hp]=T,A6(u,h,!1,!1),h.stateNode=u;e:{switch(ne=ce(C,T),C){case"dialog":ca("cancel",u),ca("close",u),P=T;break;case"iframe":case"object":case"embed":ca("load",u),P=T;break;case"video":case"audio":for(P=0;P<J0.length;P++)ca(J0[P],u);P=T;break;case"source":ca("error",u),P=T;break;case"img":case"image":case"link":ca("error",u),ca("load",u),P=T;break;case"details":ca("toggle",u),P=T;break;case"input":ge(u,T),P=fe(u,T),ca("invalid",u);break;case"option":P=T;break;case"select":u._wrapperState={wasMultiple:!!T.multiple},P=G({},T,{value:void 0}),ca("invalid",u);break;case"textarea":De(u,T),P=je(u,T),ca("invalid",u);break;default:P=T}pe(C,P),_e=P;for(U in _e)if(_e.hasOwnProperty(U)){var Pe=_e[U];U==="style"?ke(u,Pe):U==="dangerouslySetInnerHTML"?(Pe=Pe?Pe.__html:void 0,Pe!=null&&dt(u,Pe)):U==="children"?typeof 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P=h.elementType===h.type?C.memoizedProps:oi(h.type,C.memoizedProps);T.componentDidUpdate(P,C.memoizedState,T.__reactInternalSnapshotBeforeUpdate)}var U=h.updateQueue;U!==null&&am(h,U,T);break;case 3:var ne=h.updateQueue;if(ne!==null){if(C=null,h.child!==null)switch(h.child.tag){case 5:C=h.child.stateNode;break;case 1:C=h.child.stateNode}am(h,ne,C)}break;case 5:var _e=h.stateNode;if(C===null&&h.flags&4){C=_e;var Pe=h.memoizedProps;switch(h.type){case"button":case"input":case"select":case"textarea":Pe.autoFocus&&C.focus();break;case"img":Pe.src&&(C.src=Pe.src)}}break;case 6:break;case 4:break;case 12:break;case 13:if(h.memoizedState===null){var Ye=h.alternate;if(Ye!==null){var ht=Ye.memoizedState;if(ht!==null){var yt=ht.dehydrated;yt!==null&&jr(yt)}}}break;case 19:case 17:case 21:case 22:case 23:case 25:break;default:throw Error(n(163))}ui||h.flags&512&&Im(h)}catch(pt){va(h,h.return,pt)}}if(h===u){Tt=null;break}if(C=h.sibling,C!==null){C.return=h.return,Tt=C;break}Tt=h.return}}function Jo(u){for(;Tt!==null;){var h=Tt;if(h===u){Tt=null;break}var C=h.sibling;if(C!==null){C.return=h.return,Tt=C;break}Tt=h.return}}function xd(u){for(;Tt!==null;){var h=Tt;try{switch(h.tag){case 0:case 11:case 15:var C=h.return;try{yd(4,h)}catch(Pe){va(h,C,Pe)}break;case 1:var T=h.stateNode;if(typeof T.componentDidMount=="function"){var P=h.return;try{T.componentDidMount()}catch(Pe){va(h,P,Pe)}}var U=h.return;try{Im(h)}catch(Pe){va(h,U,Pe)}break;case 5:var ne=h.return;try{Im(h)}catch(Pe){va(h,ne,Pe)}}}catch(Pe){va(h,h.return,Pe)}if(h===u){Tt=null;break}var _e=h.sibling;if(_e!==null){_e.return=h.return,Tt=_e;break}Tt=h.return}}var SE=Math.ceil,Fp=k.ReactCurrentDispatcher,O6=k.ReactCurrentOwner,Qo=k.ReactCurrentBatchConfig,mr=0,_s=null,Wa=null,zs=0,So=0,v2=ld(0),ss=0,Bp=null,R1=0,Up=0,km=0,y2=null,Yi=null,M6=0,b2=1/0,gc=null,Rm=!1,L6=null,wd=null,Nm=!1,Cd=null,Dm=0,di=0,j6=null,Pm=-1,Om=0;function fi(){return(mr&6)!==0?$r():Pm!==-1?Pm:Pm=$r()}function 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ne=31-la(T);U=1<<ne,ne=h[ne],ne>P&&(P=ne),T&=~U}if(T=P,T=$r()-T,T=(120>T?120:480>T?480:1080>T?1080:1920>T?1920:3e3>T?3e3:4320>T?4320:1960*SE(T/1960))-T,10<T){u.timeoutHandle=fp(P1.bind(null,u,Yi,gc),T);break}P1(u,Yi,gc);break;case 5:P1(u,Yi,gc);break;default:throw Error(n(329))}}}return Xi(u,$r()),u.callbackNode===C?$y.bind(null,u):null}function $p(u,h){var C=y2;return u.current.memoizedState.isDehydrated&&(D1(u,h).flags|=256),u=Mm(u,h),u!==2&&(h=Yi,Yi=C,h!==null&&F6(h)),u}function F6(u){Yi===null?Yi=u:Yi.push.apply(Yi,u)}function EE(u){for(var h=u;;){if(h.flags&16384){var C=h.updateQueue;if(C!==null&&(C=C.stores,C!==null))for(var T=0;T<C.length;T++){var P=C[T],U=P.getSnapshot;P=P.value;try{if(!tt(U(),P))return!1}catch{return!1}}}if(C=h.child,h.subtreeFlags&16384&&C!==null)C.return=h,h=C;else{if(h===u)break;for(;h.sibling===null;){if(h.return===null||h.return===u)return!0;h=h.return}h.sibling.return=h.return,h=h.sibling}}return!0}function 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1:T=T.type.childContextTypes,T!=null&&K3();break;case 3:u2(),Er(Ui),Er(si),c6();break;case 5:im(T);break;case 4:u2();break;case 13:Er(ma);break;case 19:Er(ma);break;case 10:su(T.type._context);break;case 22:case 23:U6()}C=C.return}if(_s=u,Wa=u=Ed(u.current,null),zs=So=h,ss=0,Bp=null,km=Up=R1=0,Yi=y2=null,C1!==null){for(h=0;h<C1.length;h++)if(C=C1[h],T=C.interleaved,T!==null){C.interleaved=null;var P=T.next,U=C.pending;if(U!==null){var ne=U.next;U.next=P,T.next=ne}C.pending=T}C1=null}return u}function Hy(u,h){do{var C=Wa;try{if(l2(),Sp.current=_o,Ep){for(var T=ga.memoizedState;T!==null;){var P=T.queue;P!==null&&(P.pending=null),T=T.next}Ep=!1}if(S1=0,Ga=as=ga=null,E1=!1,Ip=0,O6.current=null,C===null||C.return===null){ss=1,Bp=h,Wa=null;break}e:{var U=u,ne=C.return,_e=C,Pe=h;if(h=zs,_e.flags|=32768,Pe!==null&&typeof Pe=="object"&&typeof Pe.then=="function"){var Ye=Pe,ht=_e,yt=ht.tag;if((ht.mode&1)===0&&(yt===0||yt===11||yt===15)){var pt=ht.alternate;pt?(ht.updateQueue=pt.updateQueue,ht.memoizedState=pt.memoizedState,ht.lanes=pt.lanes):(ht.updateQueue=null,ht.memoizedState=null)}var jt=Pp(ne);if(jt!==null){jt.flags&=-257,ky(jt,ne,_e,U,h),jt.mode&1&&ym(U,Ye,h),h=jt,Pe=Ye;var Xt=h.updateQueue;if(Xt===null){var Zt=new Set;Zt.add(Pe),h.updateQueue=Zt}else Xt.add(Pe);break e}else{if((h&1)===0){ym(U,Ye,h),$6();break e}Pe=Error(n(426))}}else if(ha&&_e.mode&1){var Na=Pp(ne);if(Na!==null){(Na.flags&65536)===0&&(Na.flags|=256),ky(Na,ne,_e,U,h),x1(p2(Pe,_e));break e}}U=Pe=p2(Pe,_e),ss!==4&&(ss=2),y2===null?y2=[U]:y2.push(U),U=ne;do{switch(U.tag){case 3:U.flags|=65536,h&=-h,U.lanes|=h;var $e=_6(U,Pe,h);_y(U,$e);break e;case 1:_e=Pe;var Me=U.type,Ge=U.stateNode;if((U.flags&128)===0&&(typeof Me.getDerivedStateFromError=="function"||Ge!==null&&typeof Ge.componentDidCatch=="function"&&(wd===null||!wd.has(Ge)))){U.flags|=65536,h&=-h,U.lanes|=h;var xt=Dp(U,_e,h);_y(U,xt);break 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n=e.payload;t.prepareReplaceDatasetInfo={...n,instruments:e.payload.instruments}},updateReplaceConfirmDialogOpen:(t,e)=>{t.replaceConfirmDialogOpen=e.payload},updatePrice:(t,e)=>{const{datasetId:n,price:r,netEstimatedPrice:a,standardPlanCost:s}=e.payload;t.dataRequest&&t.dataRequest.datasetId===n&&(t.dataRequest.price=r,t.dataRequest.netEstimatedPrice=a,t.dataRequest.standardPlanCost=s)},updateSize:(t,e)=>{const{datasetId:n,size:r}=e.payload;t.dataRequest&&t.dataRequest.datasetId===n&&(t.dataRequest.size=r)},updateBatchQuoteJob:(t,e)=>{t.dataRequest&&(t.dataRequest.batchQuoteJob=e.payload)},updateIsGetBatchQuoteJob:(t,e)=>{t.dataRequest&&(t.dataRequest.isGetBatchQuoteJob=e.payload)},updateAvoidResetDateRange:(t,e)=>{t.dataRequest&&(t.dataRequest.avoidResetDateRange=e.payload)},clearSelectionsInstruments:(t,e)=>{if(t.dataRequest){const 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39return M&&typeof M=="object"&&Object.keys(M).forEach(function($){j=N(M,$),j!==void 0?M[$]=j:delete M[$]}),k.call(D,O,M)})({"":I},""):I}};return xI=r,xI}var ZB;function Pme(){if(ZB)return e7.exports;ZB=1;var t=Nme().stringify,e=Dme();return e7.exports=function(n){return{parse:e(n),stringify:t}},e7.exports.parse=e(),e7.exports.stringify=t,e7.exports}var Ome=Pme();const FK=Mr(Ome);class Mme{static string(e){let n=0;for(let r=0;r<e.length;r++)n=31*n+e.charCodeAt(r);return n>>>0}static int(e){return e>>>0}static number(e){return(e^e*4294967296)>>>0}static distribute(e){return e+=~(e<<9),e^=e>>>14,e+=e<<4,e^=e>>>10,e}}const Lme=(t,e)=>t.toLocaleString(void 0,{minimumFractionDigits:e,maximumFractionDigits:1}),dv=t=>t.toLocaleString(void 0,{minimumFractionDigits:2,maximumFractionDigits:2}),jme=t=>t.toLocaleString();function Fme(t){return Mme.string(t)}const Bme=(t,e,n)=>{e/=100,n/=100;const r=s=>(s+t/60)%6,a=s=>n*(1-e*Math.max(0,Math.min(r(s),4-r(s),1)));return[Math.round(255*a(5)),Math.round(255*a(3)),Math.round(255*a(1))]};function svt(t){const e=Fme(t),n=e%255,r=e%40+30,a=e%15+75,s=Bme(n,r,a);return`rgb(${s[0]},${s[1]},${s[2]})`}const ivt=t=>Number((t/100).toFixed(2)),Ume=t=>{const e=t/100;return dv(e)},ovt=t=>{const e=Ume(t);return t>0&&e==="0.00"?"<0.01":e},lvt=t=>{const e=Lme(t,1);if(t>0&&e==="0.0")return"<0.1";const[n,r]=e.split(".");return r==="0"?n:e},cvt=t=>Number(typeof t=="object"?FK.stringify(t):t),$me=t=>(t||"").replace(/,/g,""),JB={filterTab:"ALL",category:[],schema:[],publisher:[],region:[],startDate:"",endDate:"",commonDate:"No limit"},QB={category:[],employmentType:[]},fb=(t,e)=>{const{value:n,checked:r}=e;return r?[...t,n]:t.filter(a=>a!==n)},wI=(t,e)=>{const{values:n,checked:r}=e;if(r){const a=n.filter(s=>!t.includes(s));return t.concat(a)}return t.filter(a=>!n.includes(a))},qme=mo({name:"ui",initialState:{dashboardLeftNavBarOpen:!1,searchChipsOverWidth:!1,dataRequestPanelOpen:!1,dataRequestPanelCanClose:!0,dataRequestBuilderOpen:!1,dataRequestBuilderTab:"batchDownload",dataRequestTeachingBubbleOpen:!1,dataRequestPanelSelectedTab:"historical",sampleDataFullScreen:!1,productListDialogOpen:!1,landingFilters:JB,careersFilters:QB,commonDateRangeSelection:{},commonFilters:{},commonSort:{},scrollings:{},pagesScrollTop:{},landingBackdropOpen:!1,landingShowSearchResult:!1,landingBackdropCanClose:!0,showTopbarByInstrumentNumChange:!1,focusInstrumentSearch:!1,latencyGateway:"equinix-ny4",latencyClientLocation:"equinix-ny4",hiddenOverlayScrollbar:!1},reducers:{updateFocusInstrumentSearch:(t,e)=>{t.focusInstrumentSearch=e.payload},updateDashboardLeftNavBarOpen:(t,e)=>{t.dashboardLeftNavBarOpen=e.payload,localStorage.setItem("dashboardLeftNavBarOpen",""+e.payload)},updateSearchChipsOverWidth:(t,e)=>{t.searchChipsOverWidth=e.payload},updateDataRequestPanelOpen:(t,e)=>{!e.payload&&!t.dataRequestPanelCanClose||(t.dataRequestPanelOpen=e.payload,t.landingBackdropCanClose=!t.dataRequestPanelOpen)},updateDataRequestPanelCanClose:(t,e)=>{t.dataRequestPanelCanClose=e.payload},updateDataRequestBuilderOpen:(t,e)=>{t.dataRequestBuilderOpen=e.payload},updateTopbarShowByInstrumentNumChange:(t,e)=>{t.showTopbarByInstrumentNumChange=e.payload},updateDataRequestBuilderTab:(t,e)=>{t.dataRequestBuilderTab=e.payload},updateDataRequestTeachingBubble:(t,e)=>{t.dataRequestTeachingBubbleOpen=e.payload},updateDataRequestPanelSelectedTab:(t,e)=>{t.dataRequestPanelSelectedTab=e.payload},updateSampleDataFullScreen:(t,e)=>{t.sampleDataFullScreen=e.payload},updateProductListDialogOpen:(t,e)=>{t.productListDialogOpen=e.payload},landingFilterTabUpdate:(t,e)=>{t.landingFilters.filterTab=e.payload},landingCheckboxFilterUpdate:(t,e)=>{const{key:n,value:r,checked:a}=e.payload;if(n==="publisher"){const l=t.landingFilters.venues?t.landingFilters.venues:[],c=fb(l,{value:r,checked:a});t.landingFilters.venues=c}const s=t.landingFilters[n]?t.landingFilters[n]:[],o=fb(s,{value:r,checked:a});t.landingFilters[n]=o},landingCheckboxesFilterUpdate:(t,e)=>{const{key:n,values:r,checked:a}=e.payload,s=t.landingFilters[n],o=wI(s,{values:r,checked:a});t.landingFilters[n]=o},landingCheckboxFilterClear:(t,e)=>{const n=e.payload;t.landingFilters[n]=[]},landingDateRangeFilterUpdate:(t,e)=>{const{key:n,value:r}=e.payload;t.landingFilters[n]=r},landingDateRangeFilterClear:t=>{t.landingFilters.startDate="",t.landingFilters.endDate=""},landingCommonDateUpdate:(t,e)=>{t.landingFilters.commonDate=e.payload},landingFiltersClearAll:t=>{t.landingFilters=JB}

39,landingBackdropOpenUpdate:(t,e)=>{t.landingBackdropOpen=e.payload},landingShowSearchResultUpdate:(t,e)=>{t.landingShowSearchResult=e.payload},landingBackdropCanCloseUpdate:(t,e)=>{t.landingBackdropCanClose=e.payload},landingChipOpenedUpdate:(t,e)=>{t.landingChipOpened=e.payload},careersCheckboxFilterUpdate:(t,e)=>{const{key:n,value:r,checked:a}=e.payload,s=t.careersFilters[n],o=fb(s,{value:r,checked:a});t.careersFilters[n]=o},careersCheckboxesFilterUpdate:(t,e)=>{const{key:n,values:r,checked:a}=e.payload,s=t.careersFilters[n],o=wI(s,{values:r,checked:a});t.careersFilters[n]=o},careersCheckboxFilterClear:(t,e)=>{const n=e.payload;t.careersFilters[n]=[]},careersFiltersClearAll:t=>{t.careersFilters=QB},updateScrolling:(t,e)=>{const{key:n,scrolling:r}=e.payload;t.scrollings[n]=r},updatePagesScrollTop:(t,e)=>{const{key:n,scrollTop:r}=e.payload;t.pagesScrollTop[n]=r},commonCheckboxFilterUpdate:(t,e)=>{const{key:n,value:r,checked:a}=e.payload,s=t.commonFilters[n]?t.commonFilters[n]:[],o=fb(s,{value:r,checked:a});t.commonFilters[n]=o},commonCheckboxFilterClear:(t,e)=>{const n=e.payload;t.commonFilters[n]=[]},commonCheckboxesFilterUpdate:(t,e)=>{const{key:n,values:r,checked:a}=e.payload,s=t.commonFilters[n],o=wI(s,{values:r,checked:a});t.commonFilters[n]=o},commonDateRangeUpdate:(t,e)=>{const{key:n,startYear:r,startMonth:a,endYear:s,endMonth:o}=e.payload;t.commonDateRangeSelection[n]={...t.commonDateRangeSelection[n],startYear:r,startMonth:a,endYear:s,endMonth:o}},commonDateRangeTypeUpdate:(t,e)=>{const{key:n,type:r}=e.payload;t.commonDateRangeSelection[n]={...t.commonDateRangeSelection[n],type:r}},commonSortUpdate:(t,e)=>{const{key:n,field:r}=e.payload;t.commonSort[n]={...r}},updateLatencyGateway:(t,e)=>{t.latencyGateway=e.payload},updateLatencyClientLocation:(t,e)=>{t.latencyClientLocation=e.payload},updateHiddenOverlayScrollbar:(t,e)=>{t.hiddenOverlayScrollbar=e.payload}}}),{actions:Hme,reducer:zme}=qme,{landingFilterTabUpdate:eU,updateDashboardLeftNavBarOpen:Vme,updateSearchChipsOverWidth:Gme,updateDataRequestPanelOpen:X1,updateDataRequestBuilderOpen:Wme,updateDataRequestPanelCanClose:Yme,updateDataRequestPanelSelectedTab:Xme,updateTopbarShowByInstrumentNumChange:t7,updateDataRequestBuilderTab:Kme,updateDataRequestTeachingBubble:Zme,updateSampleDataFullScreen:uvt,landingCheckboxFilterUpdate:Jme,landingCheckboxesFilterUpdate:tU,landingCheckboxFilterClear:Qme,landingDateRangeFilterUpdate:pb,landingDateRangeFilterClear:e4e,landingFiltersClearAll:t4e,landingCommonDateUpdate:nU,landingShowSearchResultUpdate:xR,landingBackdropOpenUpdate:B5,landingBackdropCanCloseUpdate:vh,landingChipOpenedUpdate:n4e,updateScrolling:dvt,updatePagesScrollTop:fvt,commonCheckboxFilterUpdate:r4e,commonCheckboxFilterClear:a4e,commonCheckboxesFilterUpdate:rU,commonDateRangeUpdate:aU,commonDateRangeTypeUpdate:sU,commonSortUpdate:s4e,updateFocusInstrumentSearch:mw,updateHiddenOverlayScrollbar:pvt}=Hme,BK=t=>t.ui.dashboardLeftNavBarOpen,i4e=t=>t.ui.searchChipsOverWidth,UK=t=>t.ui.dataRequestPanelOpen,o4e=t=>t.ui.dataRequestPanelCanClose,l4e=t=>t.ui.dataRequestBuilderOpen,c4e=t=>t.ui.showTopbarByInstrumentNumChange,u4e=t=>t.ui.dataRequestBuilderTab,d4e=t=>t.ui.dataRequestPanelSelectedTab,f4e=t=>t.ui.dataRequestTeachingBubbleOpen,hvt=t=>t.ui.sampleDataFullScreen,$K=t=>t.ui.landingBackdropOpen,sO=t=>t.ui.landingShowSearchResult,p4e=t=>t.ui.landingBackdropCanClose,h4e=t=>t.ui.focusInstrumentSearch,qK=t=>t.ui.landingFilters.filterTab,cf=(t,e)=>{const n=t.ui.landingFilters[e];return n||[]},HK=t=>t.ui.landingFilters.startDate,zK=t=>t.ui.landingFilters.endDate,m4e=t=>t.ui.landingFilters.commonDate,g4e=(t,e)=>t.ui.scrollings[e],v4e=(t,e)=>t.ui.pagesScrollTop[e]||0,y4e=(t,e)=>t.ui.commonFilters[e]||[],b4e=(t,e)=>t.ui.commonSort[e],x4e=(t,e)=>t.ui.commonDateRangeSelection[e],mvt=t=>t.ui.hiddenOverlayScrollbar,s_=t=>{const e=qK(t),n=cf(t,"category").join(","),r=cf(t,"schema").join(","),a=cf(t,"publisher").join(","),s=cf(t,"vendors").join(","),o=cf(t,"region").join(","),l=HK(t),c=zK(t);return{assetClass:e,category:n,schema:r,publisher:a,vendor:s,region:o,startDate:l,endDate:c}},w4e=t=>{const{assetClass:e,category:n,schema:r,publisher:a,vendor:s,region:o,startDate:l,endDate:c}=s_(t);return!!(e!=="ALL"||n||r||a||s||o||l&&c)},C4e={isScrollTop:!0,isScrollUp:!1,isScrollDown:!1},_4e=La(g4e,t=>t||C4e)((t,e)=>e),S4e=La(v4e,t=>t)((t,e)=>e),E4e=La(y4e,t=>t)((t,e)=>e),I4e=(t,e,n)=>{const r=t.ui.commonFilters;return n.reduce((a,s)=>{const o=r[`${e}-${s}`];return o&&o.length>0?[...a,{key:s,values:o}]:a},[])},A4e=(t,e,n)=>{const r=I4e(t,e,n).filter(a=>a.values);return JSON.stringify(r)},T4e=La(b4e,t=>t)((t,e)=>e),k4e=La(x4e,t=>t)((t,e)=>e),R4e={datasetInstrumentProfile:{},datasetInstruments:{},productList:{actual_date:"",code:"default",count:0,data:[],message:"",instrument_first_seen_date:"",instrument_last_seen_date:""}},N4e=mo({name:"instrument",initialState:R4e,reducers:{updateDatasetInstrumentProfile:(t,e)=>{const{datasetId:n,profile:r}=e.payload;t.datasetInstrumentProfile[n]=r},updateDatasetInstruments:(t,e)=>{const{datasetId:n,instruments:r}=e.payload;t.datasetInstruments[n]=r},updateProductList:(t,e)=>{t.productList=e.payload}}}),{actions:D4e,reducer:P4e}=N4e,{updateDatasetInstrumentProfile:O4e,updateDatasetInstruments:M4e,updateProductList:L4e}=D4e,j4e=t=>t.instrument.datasetInstrumentProfile,F4e=t=>t.instrument.datasetInstruments,B4e=(t,e)=>j4e(t)[e],U4e=(t,e)=>F4e(t)[e],$4e=La(B4e,t=>t)((t,e)=>e),gvt=La(U4e,t=>t)((t,e)=>e),vvt=t=>t.instrument.productList;function gw(t){return!!(t?.dataset_id&&t?.dataset_name)}function i_(t){if(!gw(t))return!1;const e=(t?.schema_availability?.length??0)>0||(t?.schema_availability_unrestricted?.length??0)>0,n=t?.available_from!=null&&t?.available_to!=null;return e||n}function iU(t,e){const n={...t,...e,dataset_id:t.dataset_id};return n.included_datasets=e?.included_datasets??t.included_datasets,n.schema_availability=e?.schema_availability??n.schema_availability??[],n.schema_availability_unrestricted=e?.schema_availability_unrestricted??n.schema_availability_unrestricted??[],n.available_from=e?.available_from!==void 0?e.available_from:n.available_from??null,n.available_to=e?.available_to!==void 0?e.available_to:n.available_to??null,n.instrument_count=e?.instrument_count!==void 0?e.instrument_count:n.instrument_count??null,n.statistics_last_update=e?.statistics_last_update!==void 0?e.statistics_last_update:n.statistics_last_update??null,n}const 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hu(this.dispatch(a))},t.prototype.identify=function(e,n){var r=aZ(e,n);return hu(this.dispatch(r))},t.prototype.groupIdentify=function(e,n,r,a){var s=F5e(e,n,r,a);return hu(this.dispatch(s))},t.prototype.setGroup=function(e,n,r){var a=B5e(e,n,r);return hu(this.dispatch(a))},t.prototype.revenue=function(e,n){var r=U5e(e,n);return hu(this.dispatch(r))},t.prototype.add=function(e){return this.config?hu(this.timeline.register(e,this.config)):(this.q.push(this.add.bind(this,e)),hu())},t.prototype.remove=function(e){return this.config?hu(this.timeline.deregister(e,this.config)):(this.q.push(this.remove.bind(this,e)),hu())},t.prototype.dispatchWithCallback=function(e,n){if(!this.config)return n(g8(e,0,Y5e));this.process(e).then(n)},t.prototype.dispatch=function(e){return sn(this,void 0,void 0,function(){var n=this;return on(this,function(r){return this.config?[2,this.process(e)]:[2,new 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e>0&&(this.quantity=e),this},t.prototype.setPrice=function(e){return this.price=e,this},t.prototype.setRevenueType=function(e){return this.revenueType=e,this},t.prototype.setCurrency=function(e){return this.currency=e,this},t.prototype.setRevenue=function(e){return this.revenue=e,this},t.prototype.setEventProperties=function(e){return SR(e)&&(this.properties=e),this},t.prototype.getEventProperties=function(){var e=this.properties?dn({},this.properties):{};return e[H2.REVENUE_PRODUCT_ID]=this.productId,e[H2.REVENUE_QUANTITY]=this.quantity,e[H2.REVENUE_PRICE]=this.price,e[H2.REVENUE_TYPE]=this.revenueType,e[H2.REVENUE_CURRENCY]=this.currency,e[H2.REVENUE]=this.revenue,e},t})(),Z5e=function(t,e){var n=Math.max(e,1);return t.reduce(function(r,a,s){var o=Math.floor(s/n);return r[o]||(r[o]=[]),r[o].push(a),r},[])},hb="Amplitude Logger ",J5e=(function(){function t(){this.logLevel=xu.None}return t.prototype.disable=function(){this.logLevel=xu.None},t.prototype.enable=function(e){e===void 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39,enumerable:!1,configurable:!0}),t})(),ege=function(t,e){return t===vw.EU?e?M5e:P5e:e?O5e:nZ},sZ=function(t,e,n){if(t===void 0&&(t=""),e===void 0&&(e=mx().serverZone),n===void 0&&(n=mx().useBatch),t)return{serverUrl:t,serverZone:void 0};var r=["US","EU"].includes(e)?e:mx().serverZone;return{serverZone:r,serverUrl:ege(r,n)}};function tge(t){return t instanceof Error?t.message:String(t)}function mb(t){var e="";try{"body"in t&&(e=JSON.stringify(t.body))}catch{}return e}var nge=(function(){function t(){this.name="amplitude",this.type=hl.DESTINATION,this.retryTimeout=1e3,this.throttleTimeout=3e4,this.storageKey="",this.scheduled=null,this.queue=[]}return t.prototype.setup=function(e){var n;return sn(this,void 0,void 0,function(){var r,a=this;return on(this,function(s){switch(s.label){case 0:return this.config=e,this.storageKey="".concat(D5e,"_").concat(this.config.apiKey.substring(0,10)),[4,(n=this.config.storageProvider)===null||n===void 0?void 0:n.get(this.storageKey)];case 1:return r=s.sent(),this.saveEvents(),r&&r.length>0&&Promise.all(r.map(function(o){return a.execute(o)})).catch(),[2,Promise.resolve(void 0)]}})})},t.prototype.execute=function(e){var n=this;return new Promise(function(r){var a={event:e,attempts:0,callback:function(s){return r(s)},timeout:0};n.addToQueue(a)})},t.prototype.addToQueue=function(){for(var e=this,n=[],r=0;r<arguments.length;r++)n[r]=arguments[r];var a=n.filter(function(s){return s.attempts<e.config.flushMaxRetries?(s.attempts+=1,!0):(e.fulfillRequest([s],500,z5e),!1)});a.forEach(function(s){if(e.queue=e.queue.concat(s),s.timeout===0){e.schedule(e.config.flushIntervalMillis);return}setTimeout(function(){s.timeout=0,e.schedule(0)},s.timeout)}),this.saveEvents()},t.prototype.schedule=function(e){var n=this;this.scheduled||(this.scheduled=setTimeout(function(){n.flush(!0).then(function(){n.queue.length>0&&n.schedule(e)})},e))},t.prototype.flush=function(e){return e===void 0&&(e=!1),sn(this,void 0,void 0,function(){var n,r,a,s=this;return on(this,function(o){switch(o.label){case 0:return n=[],r=[],this.queue.forEach(function(l){return l.timeout===0?n.push(l):r.push(l)}),this.queue=r,this.scheduled&&(clearTimeout(this.scheduled),this.scheduled=null),a=Z5e(n,this.config.flushQueueSize),[4,Promise.all(a.map(function(l){return s.send(l,e)}))];case 1:return o.sent(),[2]}})})},t.prototype.send=function(e,n){return n===void 0&&(n=!0),sn(this,void 0,void 0,function(){var r,a,s,o,l;return on(this,function(c){switch(c.label){case 0:if(!this.config.apiKey)return[2,this.fulfillRequest(e,400,G5e)];r={api_key:this.config.apiKey,events:e.map(function(d){var f=d.event;f.extra;var p=_R(f,["extra"]);return p}),options:{min_id_length:this.config.minIdLength}},c.label=1;case 1:return c.trys.push([1,3,,4]),a=sZ(this.config.serverUrl,this.config.serverZone,this.config.useBatch).serverUrl,[4,this.config.transportProvider.send(a,r)];case 2:return s=c.sent(),s===null?(this.fulfillRequest(e,0,H5e),[2]):n?(this.handleResponse(s,e),[3,4]):("body"in s?this.fulfillRequest(e,s.statusCode,"".concat(s.status,": ").concat(mb(s))):this.fulfillRequest(e,s.statusCode,s.status),[2]);case 3:return o=c.sent(),this.config.loggerProvider.error(o),l=tge(o),this.fulfillRequest(e,0,l),[3,4];case 4:return[2]}})})},t.prototype.handleResponse=function(e,n){var r=e.status;switch(r){case Gs.Success:{this.handleSuccessResponse(e,n);break}case Gs.Invalid:{this.handleInvalidResponse(e,n);break}case Gs.PayloadTooLarge:{this.handlePayloadTooLargeResponse(e,n);break}case Gs.RateLimit:{this.handleRateLimitResponse(e,n);break}default:{this.config.loggerProvider.warn(`{code: 0, error: "Status '`.concat(r,"' provided for ").concat(n.length,' events"}')),this.handleOtherResponse(n);break}}},t.prototype.handleSuccessResponse=function(e,n){this.fulfillRequest(n,e.statusCode,q5e)},t.prototype.handleInvalidResponse=function(e,n){var r=this;if(e.body.missingField||e.body.error.startsWith(W5e)){this.fulfillRequest(n,e.statusCode,e.body.error);return}var a=kd(kd(kd(kd([],Ps(Object.values(e.body.eventsWithInvalidFields)),!1),Ps(Object.values(e.body.eventsWithMissingFields)),!1),Ps(Object.values(e.body.eventsWithInvalidIdLengths)),!1),Ps(e.body.silencedEvents),!1).flat(),s=new Set(a

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40h(p),typeof MutationObserver<"u"&&(t=new MutationObserver(function(b){b.forEach(function(_){_.addedNodes.forEach(function(E){E.nodeName==="A"&&p(E),"querySelectorAll"in E&&typeof E.querySelectorAll=="function"&&Array.from(E.querySelectorAll("a")).map(p)})})}),t.observe(document.body,{subtree:!0,childList:!0})),[2]):(d.loggerProvider.warn("File download tracking requires a later version of @amplitude/analytics-browser. 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40).promise]:[3,17];case 16:Ce.sent(),Ce.label=17;case 17:return!((A=this.config.attribution)===null||A===void 0)&&A.disabled?[3,19]:(le=Bge({excludeReferrers:(S=this.config.attribution)===null||S===void 0?void 0:S.excludeReferrers,initialEmptyValue:(k=this.config.attribution)===null||k===void 0?void 0:k.initialEmptyValue,resetSessionOnNewCampaign:(I=this.config.attribution)===null||I===void 0?void 0:I.resetSessionOnNewCampaign}),le.__pluginEnabledOverride=q||!((N=this.config.attribution)===null||N===void 0)&&N.trackNewCampaigns?void 0:!1,[4,this.add(le).promise]);case 18:Ce.sent(),Ce.label=19;case 19:return ee=Age(this.config),ee.eventType=ee.eventType||pZ,[4,this.add(Dge(ee)).promise];case 20:return Ce.sent(),[4,this.add(c6e()).promise];case 21:return Ce.sent(),this.initializing=!1,[4,this.runQueuedFunctions("dispatchQ")];case 22:return Ce.sent(),Z.eventBridge.setEventReceiver(function(de){xe.track(de.eventType,de.eventProperties)}),[2]}})})},e.prototype.getUserId=function(){var n;return(n=this.config)===null||n===void 0?void 0:n.userId},e.prototype.setUserId=function(n){if(!this.config){this.q.push(this.setUserId.bind(this,n));return}(n!==this.config.userId||n===void 0)&&(this.config.userId=n,pge(n,this.config.instanceName))},e.prototype.getDeviceId=function(){var n;return(n=this.config)===null||n===void 0?void 0:n.deviceId},e.prototype.setDeviceId=function(n){if(!this.config){this.q.push(this.setDeviceId.bind(this,n));return}this.config.deviceId=n,hge(n,this.config.instanceName)},e.prototype.setOptOut=function(n){mge(n,this.config.instanceName),t.prototype.setOptOut.call(this,n)},e.prototype.reset=function(){this.setDeviceId(c_()),this.setUserId(void 0)},e.prototype.getSessionId=function(){var n;return(n=this.config)===null||n===void 0?void 0:n.sessionId},e.prototype.setSessionId=function(n){var r;if(!this.config){this.q.push(this.setSessionId.bind(this,n));return}if(n!==this.config.sessionId){var a=this.getSessionId(),s=this.config.lastEventTime,o=(r=this.config.lastEventId)!==null&&r!==void 0?r:-1;this.config.sessionId=n,this.config.lastEventTime=void 0,Ige(this.config.defaultTracking)&&(a&&s&&this.track(IU,void 0,{device_id:this.previousSessionDeviceId,event_id:++o,session_id:a,time:s+1,user_id:this.previousSessionUserId}),this.config.lastEventTime=this.config.sessionId,this.track(EU,void 0,{event_id:++o,session_id:this.config.sessionId,time:this.config.lastEventTime})),this.previousSessionDeviceId=this.config.deviceId,this.previousSessionUserId=this.config.userId}},e.prototype.extendSession=function(){if(!this.config){this.q.push(this.extendSession.bind(this));return}this.config.lastEventTime=Date.now()},e.prototype.setTransport=function(n){if(!this.config){this.q.push(this.setTransport.bind(this,n));return}this.config.transportProvider=fZ(n)},e.prototype.identify=function(n,r){if(AI(n)){var a=n._q;n._q=[],n=II(new H5,a)}return r?.user_id&&this.setUserId(r.user_id),r?.device_id&&this.setDeviceId(r.device_id),t.prototype.identify.call(this,n,r)},e.prototype.groupIdentify=function(n,r,a,s){if(AI(a)){var o=a._q;a._q=[],a=II(new H5,o)}return t.prototype.groupIdentify.call(this,n,r,a,s)},e.prototype.revenue=function(n,r){if(AI(n)){var a=n._q;n._q=[],n=II(new K5e,a)}return t.prototype.revenue.call(this,n,r)},e.prototype.process=function(n){return sn(this,void 0,void 0,function(){var r,a,s;return on(this,function(o){return r=Date.now(),a=this.config.lastEventTime||Date.now(),s=r-a,n.event_type!==EU&&n.event_type!==IU&&(!n.session_id||n.session_id===this.getSessionId())&&s>this.config.sessionTimeout&&this.setSessionId(r),[2,t.prototype.process.call(this,n)]})})},e})(X5e),hZ=function(){var t=new f6e;return{init:Is(t.init.bind(t),"init",Ss(t),Es(t,["config"])),add:Is(t.add.bind(t),"add",Ss(t),Es(t,["config.apiKey","timeline.plugins"])),remove:Is(t.remove.bind(t),"remove",Ss(t),Es(t,["config.apiKey","timeline.plugins"])),track:Is(t.track.bind(t),"track",Ss(t),Es(t,["config.apiKey","timeline.queue.length"])),logEvent:Is(t.logEvent.bind(t),"logEvent",Ss(t),Es(t,["config.apiKey","timeline.queue.length"])),identify:Is(t.identify.bind(t),"identify",Ss(t),Es(t,["config.apiKey","timeline.queue.length"])),groupIdentify:Is(t.groupIdentify.bind(t),"groupIdentify",Ss(t),Es(t,["config.apiKey","timeline.queue.length"])),setGroup:Is(t.setGroup.bind(t),"setGroup",Ss(t),Es(t,["config.apiKey","timeline.queue.length"])),revenue:Is(t.revenue.bind(t),"revenue",Ss(t),Es(t,["config.apiKey","timeline.queue.length"])),flush:Is(t.flush.bind(t),"flush",Ss(t),Es(t,["config.apiKey","timeline.queue.length"])),getUserId:Is(t.getUserId.bind(t),"getUserId",Ss(t),Es(t,["config","config.userId"])),setUserId:Is(t.setUserId.bind(t),"setUserId",Ss(t),Es(t,["config","config.userId"])),getDeviceId:Is(t.getDeviceId.bind(t),"getDeviceId",Ss(t),Es(t,["config","config.deviceId"])),setDeviceId:Is(t.setDeviceId.bind(t),"setDeviceId",Ss(t),Es(t,["config","config.deviceId"])),reset:Is(t.reset.bind(t),"reset",Ss(t),Es(t,["config","config.userId","config.deviceId"])),getSessionId:Is(t.getSessionId.bind(t),"getSessionId",Ss(t),Es(t,["config"])),setSessionId:Is(t.setSessionId.bind(t),"setSessionId",Ss(t),Es(t,["config"])),extendSession:Is(t.extendSession.bind(t),"extendSession",Ss(t),Es(t,["config"])),setOptOut:Is(t.setOptOut.bind(t),"setOptOut",Ss(t),Es(t,["config"])),setTransport:Is(t.setTransport.bind(t),"setTransport",Ss(t),Es(t,["config"]))}};hZ();const p6e={prod:"",dev:"",staging:""},h6e={plan:{version:"116",branch:"main",source:"platform",versionId:"824d5c7c-df1f-4996-8f13-c41dc4b1dcfc"},ingestionMetadata:{sourceName:"browser-typescript-ampli",sourceVersion:"2.0.0"}};class m6e{constructor(e){this.event_properties=e,this.event_properties=e}event_properties;event_type="added product"}class g6e{event_type="cart widget - clear button - clicked"}class v6e{event_type="cart widget - dataset link - clicked"}class y6e{event_type="cart widget - historical - api help link - clicked"}class b6e{event_type="cart widget - historical - cta button - clicked"}class x6e{constructor(e){this.event_properties=e,this.event_properties=e}event_properties;event_type="cart widget - historical - schema dropdown - selected option"}class w6e{constructor(e){this.event_properties=e,this.event_properties=e}event_properties;event_type="cart widget - historical - specific date range - selected date"}class C6e{constructor(e){this.event_properties=e,this.event_properties=e}event_properties;event_type="cart widget - historical - specific time range - selected time"}class _6e{constructor(e){this.event_properties=e,this.event_properties=e}event_properties;event_type="cart widget - historical - time range radio - selected option"}class S6e{constructor(e){this.event_properties=e,this.event_properties=e}event_properties;event_type="cart widget - historical - timezone dropdown - selected option"}class E6e{event_type="cart widget - historical tab - clicked"}class I6e{event_type="cart widget - live - contact us - clicked"}class A6e{event_type="cart widget - live - cta button - clicked"}class T6e{event_type="cart widget - live - live help link - clicked"}class k6e{constructor(e){this.event_properties=e,this.event_properties=e}event_properties;event_type="cart widget - live - schema dropdown - selected option"}class R6e{event_type="cart widget - live - see pricing link - clicked"}class N6e{event_type="cart widget - live tab - clicked"}class D6e{event_type="cart widget - product count - clicked"}class P6e{event_type="clicked billing balance view details"}class O6e{event_type="clicked billing credits view details"}class M6e{event_type="clicked create account"}class L6e{constructor(e){this.event_properties=e,this.event_properties=e}event_properties;event_type="clicked dataset card"}class j6e{event_type="clicked get exact quote"}class F6e{event_type="clicked invite team"}class B6e{constructor(e){this.event_properties=e,this.event_properties=e}event_properties;event_type="clicked licensing submit and pay"}class U6e{constructor(e){this.event_properties=e,this.event_properties=e}event_properties;event_type="clicked log in"}class $6e{event_type="clicked log out"}class q6e{event_type="clicked manage limit"}class H6e{event_type="clicked notification bell"}class z6e{constructor(e){this.event_properties=e,this.event_properties=e}event_properties;event_type="clicked product"}class V6e{constructor(e){this.event_properties=e,this.event_properties=e}event_properties;event_type="clicked product recommendation"}class G6e{event_type="clicked recent data usage chart point"}class W6e{constructor(e){this.event_properties=e,this.event_properties=e}event_properties;

40event_type="clicked search filter dropdown"}class Y6e{constructor(e){this.event_properties=e,this.event_properties=e}event_properties;event_type="clicked search filter tab"}class X6e{constructor(e){this.event_properties=e,this.event_properties=e}event_properties;event_type="clicked sign up"}class K6e{constructor(e){this.event_properties=e,this.event_properties=e}event_properties;event_type="clicked start new license button"}class Z6e{event_type="clicked submit contact info"}class J6e{event_type="clicked submit payment info"}class Q6e{constructor(e){this.event_properties=e,this.event_properties=e}event_properties;event_type="clicked submit request"}class e7e{event_type="completed registration"}class t7e{constructor(e){this.event_properties=e,this.event_properties=e}event_properties;event_type="confirmed email"}class n7e{constructor(e){this.event_properties=e,this.event_properties=e}event_properties;event_type="continued to next step licensing form"}class r7e{constructor(e){this.event_properties=e,this.event_properties=e}event_properties;event_type="cta - click"}class a7e{constructor(e){this.event_properties=e,this.event_properties=e}event_properties;event_type="debug"}class s7e{constructor(e){this.event_properties=e,this.event_properties=e}event_properties;event_type="encountered frontend error"}class i7e{constructor(e){this.event_properties=e,this.event_properties=e}event_properties;event_type="encountered server error"}class o7e{constructor(e){this.event_properties=e,this.event_properties=e}event_properties;event_type="github icon - clicked"}class l7e{constructor(e){this.event_properties=e,this.event_properties=e}event_properties;event_type="github star - clicked"}class c7e{constructor(e){this.event_properties=e,this.event_properties=e}event_properties;event_type="homepage - solutions section link - clicked"}class u7e{constructor(e){this.event_properties=e,this.event_properties=e}event_properties;event_type="license - upload"}class d7e{constructor(e){this.event_properties=e,this.event_properties=e}event_properties;event_type="license - upload - error"}class f7e{constructor(e){this.event_properties=e,this.event_properties=e}event_properties;event_type="licensing-error"}class p7e{constructor(e){this.event_properties=e,this.event_properties=e}event_properties;event_type="main top nav - link - clicked"}class h7e{constructor(e){this.event_properties=e,this.event_properties=e}event_properties;event_type="platform detail - example - clicked"}class m7e{constructor(e){this.event_properties=e,this.event_properties=e}event_properties;event_type="platform detail - example - copied"}class g7e{constructor(e){this.event_properties=e,this.event_properties=e}event_properties;event_type="platform detail - example run button - clicked"}class v7e{constructor(e){this.event_properties=e,this.event_properties=e}event_properties;event_type="platform detail - navigation tab - clicked"}class y7e{constructor(e){this.event_properties=e,this.event_properties=e}event_properties;event_type="portal side nav - clicked"}class b7e{event_type="portal top nav - latency indicator - clicked"}class x7e{event_type="portal top nav - system status - clicked"}class w7e{constructor(e){this.event_properties=e,this.event_properties=e}event_properties;event_type="pricing calc - interacted"}class C7e{constructor(e){this.event_properties=e,this.event_properties=e}event_properties;event_type="pricing calc - new price - calculated"}class _7e{constructor(e){this.event_properties=e,this.event_properties=e}event_properties;event_type="pricing plans - action"}class S7e{constructor(e){this.event_properties=e,this.event_properties=e}event_properties;event_type="pricing plans - main cta - clicked"}class E7e{event_type="pricing plans - show more btn - clicked"}class I7e{constructor(e){this.event_properties=e,this.event_properties=e}event_properties;event_type="pricing plans - viewed"}class A7e{constructor(e){this.event_properties=e,this.event_properties=e}event_properties;event_type="searched download center"}class T7e{constructor(e){this.event_properties=e,this.event_properties=e}event_properties;event_type="searched products"}class k7e{event_type="searched products no results"}class R7e{constructor(e){this.event_properties=e,this.event_properties=e}event_properties;event_type="selected download center filter option"}class N7e{constructor(e){this.event_properties=e,this.event_properties=e}event_properties;event_type="selected licensing form option"}class D7e{constructor(e){this.event_properties=e,this.event_properties=e}event_properties;event_type="selected past data usage filter option"}class P7e{constructor(e){this.event_properties=e,this.event_properties=e}event_properties;event_type="selected recent data usage filter option"}class O7e{constructor(e){this.event_properties=e,this.event_properties=e}event_properties;

40event_type="selected search filter dropdown option"}class M7e{constructor(e){this.event_properties=e,this.event_properties=e}event_properties;event_type="slack - join - clicked"}class L7e{constructor(e){this.event_properties=e,this.event_properties=e}event_properties;event_type="toggled monthly limit switch"}class j7e{constructor(e){this.event_properties=e,this.event_properties=e}event_properties;event_type="updated team monthly limit"}class F7e{event_type="viewed homepage"}class B7e{constructor(e){this.event_properties=e,this.event_properties=e}event_properties;event_type="viewed page"}class U7e{event_type="viewed portal homepage"}class $7e{event_type="viewed pricing page"}const r7=()=>({promise:Promise.resolve()});class q7e{disabled=!1;amplitude;get client(){return this.isInitializedAndEnabled(),this.amplitude}get isLoaded(){return this.amplitude!=null}isInitializedAndEnabled(){return this.amplitude?!this.disabled:(console.error("ERROR: Ampli is not yet initialized. Have you called ampli.load() on app start?"),!1)}load(e){if(this.disabled=e.disabled??!1,this.amplitude)return console.warn("WARNING: Ampli is already intialized. Ampli.load() should be called once at application startup."),r7();let n=null;if(e.client&&"apiKey"in e.client?n=e.client.apiKey:"environment"in e&&(n=p6e[e.environment]),e.client&&"instance"in e.client)this.amplitude=e.client.instance;else if(n){this.amplitude=hZ();const r=e.client&&"configuration"in e.client?e.client.configuration:{};return this.amplitude.init(n,void 0,{...h6e,...r})}else console.error("ERROR: ampli.load() requires 'environment', 'client.apiKey', or 'client.instance'");return r7()}identify(e,n,r){if(!this.isInitializedAndEnabled())return r7();e&&(r={...r,user_id:e});const a=new H5,s=n;if(s!=null)for(const[o,l]of Object.entries(s))a.set(o,l);return this.amplitude.identify(a,r)}flush(){return this.isInitializedAndEnabled()?this.amplitude.flush():r7()}track(e,n){return this.isInitializedAndEnabled()?this.amplitude.track(e,void 0,n):r7()}

40addedProduct(e,n){return this.track(new m6e(e),n)}cartWidgetClearButtonClicked(e){return this.track(new g6e,e)}cartWidgetDatasetLinkClicked(e){return this.track(new v6e,e)}cartWidgetHistoricalApiHelpLinkClicked(e){return this.track(new y6e,e)}cartWidgetHistoricalCtaButtonClicked(e){return this.track(new b6e,e)}cartWidgetHistoricalSchemaDropdownSelectedOption(e,n){return this.track(new x6e(e),n)}cartWidgetHistoricalSpecificDateRangeSelectedDate(e,n){return this.track(new w6e(e),n)}cartWidgetHistoricalSpecificTimeRangeSelectedTime(e,n){return this.track(new C6e(e),n)}cartWidgetHistoricalTimeRangeRadioSelectedOption(e,n){return this.track(new _6e(e),n)}cartWidgetHistoricalTimezoneDropdownSelectedOption(e,n){return this.track(new S6e(e),n)}cartWidgetHistoricalTabClicked(e){return this.track(new E6e,e)}cartWidgetLiveContactUsClicked(e){return this.track(new I6e,e)}cartWidgetLiveCtaButtonClicked(e){return this.track(new A6e,e)}cartWidgetLiveLiveHelpLinkClicked(e){return this.track(new T6e,e)}cartWidgetLiveSchemaDropdownSelectedOption(e,n){return this.track(new k6e(e),n)}cartWidgetLiveSeePricingLinkClicked(e){return this.track(new R6e,e)}cartWidgetLiveTabClicked(e){return this.track(new N6e,e)}cartWidgetProductCountClicked(e){return this.track(new D6e,e)}clickedBillingBalanceViewDetails(e){return this.track(new P6e,e)}clickedBillingCreditsViewDetails(e){return this.track(new O6e,e)}clickedCreateAccount(e){return this.track(new M6e,e)}clickedDatasetCard(e,n){return this.track(new L6e(e),n)}clickedGetExactQuote(e){return this.track(new j6e,e)}clickedInviteTeam(e){return this.track(new F6e,e)}clickedLicensingSubmitAndPay(e,n){return this.track(new B6e(e),n)}clickedLogIn(e,n){return this.track(new U6e(e),n)}clickedLogOut(e){return this.track(new $6e,e)}clickedManageLimit(e){return this.track(new q6e,e)}clickedNotificationBell(e){return this.track(new H6e,e)}clickedProduct(e,n){return this.track(new z6e(e),n)}clickedProductRecommendation(e,n){return this.track(new V6e(e),n)}clickedRecentDataUsageChartPoint(e){return this.track(new G6e,e)}clickedSearchFilterDropdown(e,n){return this.track(new W6e(e),n)}clickedSearchFilterTab(e,n){return this.track(new Y6e(e),n)}clickedSignUp(e,n){return this.track(new X6e(e),n)}clickedStartNewLicenseButton(e,n){return this.track(new K6e(e),n)}clickedSubmitContactInfo(e){return this.track(new Z6e,e)}clickedSubmitPaymentInfo(e){return this.track(new J6e,e)}clickedSubmitRequest(e,n){return this.track(new Q6e(e),n)}completedRegistration(e){return this.track(new e7e,e)}confirmedEmail(e,n){return this.track(new t7e(e),n)}continuedToNextStepLicensingForm(e,n){return this.track(new n7e(e),n)}ctaClick(e,n){return this.track(new r7e(e),n)}debug(e,n){return this.track(new a7e(e),n)}encounteredFrontendError(e,n){return this.track(new s7e(e),n)}encounteredServerError(e,n){return this.track(new i7e(e),n)}githubIconClicked(e,n){return this.track(new o7e(e),n)}githubStarClicked(e,n){return this.track(new l7e(e),n)}homepageSolutionsSectionLinkClicked(e,n){return this.track(new c7e(e),n)}licenseUpload(e,n){return this.track(new u7e(e),n)}licenseUploadError(e,n){return this.track(new d7e(e),n)}licensingError(e,n){return this.track(new f7e(e),n)}mainTopNavLinkClicked(e,n){return this.track(new p7e(e),n)}platformDetailExampleClicked(e,n){return this.track(new h7e(e),n)}platformDetailExampleCopied(e,n){return this.track(new m7e(e),n)}platformDetailExampleRunButtonClicked(e,n){return this.track(new g7e(e),n)}platformDetailNavigationTabClicked(e,n){return this.track(new v7e(e),n)}portalSideNavClicked(e,n){return this.track(new y7e(e),n)}portalTopNavLatencyIndicatorClicked(e){return this.track(new b7e,e)}portalTopNavSystemStatusClicked(e){return this.track(new x7e,e)}pricingCalcInteracted(e,n){return this.track(new w7e(e),n)}pricingCalcNewPriceCalculated(e,n){return this.track(new C7e(e),n)}pricingPlansAction(e,n){return this.track(new _7e(e),n)}pricingPlansMainCtaClicked(e,n){return this.track(new S7e(e),n)}pricingPlansShowMoreBtnClicked(e){return this.track(new E7e,e)}pricingPlansViewed(e,n){return this.track(new I7e(e),n)}searchedDownloadCenter(e,n){return this.track(new A7e(e),n)}searchedProducts(e,n){return this.track(new T7e(e),n)}searchedProductsNoResults(e){return this.track(new k7e,e)}selectedDownloadCenterFilterOption(e,n){return this.track(new R7e(e),n)}selectedLicensingFormOption(e,n){return this.track(new N7e(e),n)}selectedPastDataUsageFilterOption(e,n){return this.track(new D7e(e),n)}selectedRecentDataUsageFilterOption(e,n){return this.track(new P7e(e),n)}selectedSearchFilterDropdownOption(e,n){return this.track(new O7e(e),n)}slackJoinClicked(e,n){return this.track(new M7e(e),n)}toggledMonthlyLimitSwitch(e,n){return this.track(new L7e(e),n)}updatedTeamMonthlyLimit(e,n){return this.track(new j7e(e),n)}viewedHomepage(e){return this.track(new F7e,e)}

40viewedPage(e,n){return this.track(new B7e(e),n)}viewedPortalHomepage(e){return this.track(new U7e,e)}viewedPricingPage(e){return this.track(new $7e,e)}}const On=new q7e,H7e=mo({name:"global",initialState:{authenticated:!1,cartSynchronized:!1,userSettings:{timezone:"UTC",gateway_latency:"NY4",receiver_latency:"NY4"},userSettingsLoaded:!1,catalogDetailContentReady:!0},reducers:{updateInitializing:(t,e)=>{t.initializing=e.payload},updateAuthenticated:(t,e)=>{t.authenticated=e.payload},updateCartSynchronized:(t,e)=>{t.cartSynchronized=e.payload},updateUserProfile:(t,e)=>{t.userProfile=e.payload;const n=t.userProfile;n?On.identify(n.id,{user_email:n.email,user_auth_status:"authenticated",user_registration_status:n.registration,team_id:n.team_id,team_role:n.role}):On.identify(void 0,{user_auth_status:"unauthenticated"})},updateUserContact:(t,e)=>{t.userContact=e.payload},updatePublicRegistrationContact:(t,e)=>{t.publicRegistrationContact=e.payload},updateUserSettings:(t,e)=>{t.userSettings=e.payload,t.userSettingsLoaded=!0},updateUserEmailRequest:(t,e)=>{Object.keys(e.payload).length>0&&(t.userNewEmailRequest=e.payload)},updateUserEmailRequestCount:(t,e)=>{t.userNewEmailRequestCount=e.payload},updateUserEmailsByRequestId:(t,e)=>{t.userEmailsByRequestId=e.payload},updateGlobalError:(t,e)=>{t.error=e.payload},updateCodeError:(t,e)=>{t.codeError=e.payload},clearGlobalError:t=>{t.error=void 0,t.codeError=void 0},updateEntitlement:(t,e)=>{t.userEntitlement=e.payload},updateTeamDetail:(t,e)=>{t.teamDetail=e.payload,t.userContact=t.teamDetail.contact},updateTeamTrial:(t,e)=>{t.teamTrial=e.payload,t.teamTrial?t.teamTrialLeftDays=kme(t.teamTrial.end_date):t.teamTrialLeftDays=0},cleanTeamTrial:t=>{t.teamTrial=void 0,t.teamTrialLeftDays=0},updateCatalogDetailContentReady:(t,e)=>{t.catalogDetailContentReady=e.payload}}}),{actions:z7e,reducer:V7e}=H7e,{updateAuthenticated:Qh,updateCartSynchronized:fv,updateUserProfile:fO,updateUserContact:G7e,updatePublicRegistrationContact:W7e,updateUserSettings:Y7e,updateUserEmailRequest:mZ,updateUserEmailRequestCount:X7e,updateUserEmailsByRequestId:K7e,updateGlobalError:pv,updateCodeError:Z7e,clearGlobalError:J7e,updateTeamDetail:Q7e,updateTeamTrial:e8e,cleanTeamTrial:t8e,updateCatalogDetailContentReady:TU}=z7e,gZ="SIGNUP_EMAIL",vZ="SIGNUP_CONTACT",yZ="SIGNUP_PAYMENT",v8="DONE",Gc=t=>t.global.authenticated,bZ=t=>t.global.cartSynchronized,l1=t=>t.global.userProfile,Cvt=t=>{const e=l1(t);return e?.role==="owner"||e?.role==="admin"},xZ=t=>t.global?.userProfile?.registration,rc=t=>xZ(t)===v8,_vt=t=>t.global.userProfile?.email||"",Svt=t=>t.global.userProfile?.role==="member",Evt=t=>t.global.userContact,Ivt=t=>t.global.publicRegistrationContact,pO=t=>t.global.userSettings,wZ=t=>t.global.userSettingsLoaded,Avt=t=>t.global.userNewEmailRequest,Tvt=t=>t.global.userNewEmailRequestCount,kvt=t=>t.global.userEmailsByRequestId,hO=t=>t.global.error,n8e=t=>!!t.global.error||!!t.global.codeError,Rvt=t=>t.global.teamDetail,i9=t=>t.global.teamTrial,mO=t=>t.global.teamTrialLeftDays,r8e=t=>t.global.catalogDetailContentReady,a8e=mo({name:"notification",initialState:{showDCNotification:!1,showTopbarNotification:!1,notifications:[],TopbarMessages:[],hasTopbarNotification:!1},reducers:{updateShowDCNotification:(t,e)=>{t.showDCNotification=e.payload},updateShowTopbarNotification:(t,e)=>{t.showTopbarNotification=e.payload},addNewTopbarNotification:(t,e)=>{const n=t.TopbarMessages;t.TopbarMessages=[...n,e.payload]},clearNotifications:t=>{t.notifications=[]},clearTopbarNotification:t=>{t.TopbarMessages=[]},updateHasTopbarNotification:(t,e)=>{t.hasTopbarNotification=e.payload}}}),{actions:s8e,reducer:i8e}=a8e,{updateShowDCNotification:Nvt,updateShowTopbarNotification:Dvt,addNewTopbarNotification:Pvt,clearTopbarNotification:Ovt}=s8e,vb=t=>{const{dataType:e,unitPrice:n,monthlyUsage:r}=t;return parseFloat((n*r).toFixed(2))},o8e=mo({name:"pricing",initialState:{dataType:"historical",datasetId:"GLBX.MDP3",schema:"trades",unitPrice:71.4,activeInstruments:5,monthlyUsage:10,licenses:[],licensesFee:20,totalFee:714},reducers:{updatePricingDataType:(t,e)=>{t.dataType=e.payload,t.totalFee=vb(t)},updatePricingDataset:(t,e)=>{t.datasetId=e.payload},updatePricingSchema:(t,e)=>{const{schema:n,unitPrice:r}=e.payload;t.schema=n,t.unitPrice=r,t.totalFee=vb(t)},updatePricingActiveInstruments:(t,e)=>{const{activeInstruments:n,monthlyUsage:r,distribution:a}=e.payload;t.activeInstruments=n,t.monthlyUsage=r/1024/1024/1024,t.distribution=a,t.loadingSizeEstimation=!1,t.totalFee=vb(t)},updateLoadingSizeEstimation:(t,e)=>{t.loadingSizeEstimation=e.payload},updatePricingStartDate:(t,e)=>{t.startDate=e.payload},updatePricingEndDate:(t,e)=>{t.endDate=e.payload},updatePricingLicenses:(t,e)=>{t.licenses=e.payload.licenses,t.licensesFee=e.payload.licenseFee,t.totalFee=vb(t)}}}),{actions:l8e,reducer:c8e}=o8e,{updatePricingSchema:u8e}=l8e,d8e=mo({name:"licensing",initialState:{licenses:[],availableLicense:[],sortTypeOfDatasets:"mostRecentlyAdded",assetClassFilter:"all",datasetsFilter:null,lastLicenseSubmissionSuccessProviderId:null},reducers:{updateAvailableLicenses:(t,e)=>{t.availableLicense=e.payload},updateLicenses:(t,e)=>{t.licenses=e.payload},updateLicense:(t,e)=>{t.licenses=[...t.licenses.filter(n=>n.provider===e.payload.provider),e.payload]},deleteLicense:(t,e)=>{t.licenses=[...t.licenses.filter(n=>n.provider===e.payload.provider)]},sortTypeOfDatasetsUpdate:(t,e)=>{t.sortTypeOfDatasets=e.payload},assetClassFilterUpdate:(t,e)=>{t.assetClassFilter=e.payload},datasetsFilterUpdate:(t,e)=>{t.datasetsFilter=e.payload},updateLastLicenseSubmissionSuccessProviderId:(t,e)=>{t.lastLicenseSubmissionSuccessProviderId=e.payload}}}),{actions:f8e,reducer:p8e}=d8e,{updateAvailableLicenses:h8e,updateLicenses:m8e,updateLastLicenseSubmissionSuccessProviderId:Mvt}=f8e;Pr.extend(PC);Pr.extend(SY);const 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62,[_N]:{exposure:"hidden"},[qw]:{exposure:"hidden"},[Hw]:{exposure:"hidden"},[FQ]:{exposure:"event"},[BQ]:{exposure:"event"},[UQ]:{exposure:"event"},[$Q]:{exposure:"event"},[HQ]:{exposure:"event"},[zQ]:{exposure:"event"},[VQ]:{exposure:"event"},$sdk_debug_replay_event_trigger_status:{exposure:"event"},$sdk_debug_replay_linked_flag_trigger_status:{exposure:"event"},$sdk_debug_replay_matched_recording_trigger_groups:{exposure:"event"},$sdk_debug_replay_remote_trigger_matching_config:{exposure:"event"},$sdk_debug_replay_trigger_groups_count:{exposure:"event"},$sdk_debug_replay_url_trigger_status:{exposure:"event"},$session_recording_start_reason:{exposure:"event"}},EEe=[["$posthog_sr_group_event_trigger_",{exposure:"hidden"}],["$posthog_sr_group_url_trigger_",{exposure:"hidden"}],["$posthog_sr_group_sampling_",{exposure:"hidden"}]],Ww=t=>{var e=Pt?.createElement("a");return qt(e)?null:(e.href=t,e)},Yw=function(t,e){for(var n,r=((t.split("#")[0]||"").split(/\?(.*)/)[1]||"").replace(/^\?+/g,"").split("&"),a=0;r.length>a;a++){var s=r[a].split("=");if(s[0]===e){n=s;break}}if(!Ir(n)||2>n.length)return"";var o=n[1];try{o=decodeURIComponent(o)}catch{Mt.error("Skipping decoding for malformed query param: "+o)}return o.replace(/\+/g," ")},bv=function(t,e,n){if(!t||!e||!e.length)return t;for(var r=t.split("#"),a=r[1],s=(r[0]||"").split("?"),o=s[1],l=s[0],c=(o||"").split("&"),d=[],f=0;c.length>f;f++){var p=c[f].split("=");Ir(p)&&(e.includes(p[0])?d.push(p[0]+"="+n):d.push(c[f]))}var g=l;return o!=null&&(g+="?"+d.join("&")),a!=null&&(g+="#"+a),g},Xw=function(t,e){var n=t.match(new RegExp(e+"=([^&]*)"));return n?n[1]:null},kb="https?://(.*)",J5=["gclid","gclsrc","dclid","gbraid","wbraid","fbclid","msclkid","twclid","li_fat_id","igshid","ttclid","rdt_cid","epik","qclid","sccid","irclid","_kx"],IEe=["utm_source","utm_medium","utm_campaign","utm_content","utm_term","gad_source","mc_cid",...J5],xv="<masked>",AEe=["li_fat_id"];function KQ(t,e,n){if(!Pt)return{};var r,a=e?[...J5,...n||[]]:[],s=ZQ(bv(Pt.URL,a,xv),t),o=(r={},Ea(AEe,(function(l){var c=Ld.A(l);r[l]=c||null})),r);return Xa(o,s)}function ZQ(t,e){var n=IEe.concat(e||[]),r={};return Ea(n,(function(a){var s=Yw(t,a);r[a]=s||null})),r}function JQ(t){var e=(function(s){return s?s.search(kb+"google.([^/?]*)")===0?"google":s.search(kb+"bing.com")===0?"bing":s.search(kb+"yahoo.com")===0?"yahoo":s.search(kb+"duckduckgo.com")===0?"duckduckgo":null:null})(t),n=e!="yahoo"?"q":"p",r={};if(!O0(e)){r.$search_engine=e;var a=Pt?Yw(Pt.referrer,n):"";a.length&&(r.ph_keyword=a)}return r}function kq(){return navigator.language||navigator.userLanguage}var Kw="$direct";function QQ(){return Pt?.referrer||Kw}function eee(t,e){var n=t?[...J5,...e||[]]:[],r=Ri?.href.substring(0,1e3);return{r:QQ().substring(0,1e3),u:r?bv(r,n,xv):void 0}}function tee(t){var e,{r:n,u:r}=t,a={$referrer:n,$referring_domain:n==null?void 0:n==Kw?Kw:(e=Ww(n))==null?void 0:e.host};if(r){a.$current_url=r;var s=Ww(r);a.$host=s?.host,a.$pathname=s?.pathname;var o=ZQ(r);Xa(a,o)}if(n){var l=JQ(n);Xa(a,l)}return a}function nee(){try{return Intl.DateTimeFormat().resolvedOptions().timeZone}catch{return}}function TEe(){try{return new Date().getTimezoneOffset()}catch{return}}var kEe=["cookie","localstorage","localstorage+cookie","sessionstorage","memory"];class RA{constructor(e,n){this.qt=e,this.props={},this.mr=!1,this.yr=(r=>{var a="";return r.token&&(a=r.token.replace(/\+/g,"PL").replace(/\//g,"SL").replace(/=/g,"EQ")),r.persistence_name?"ph_"+r.persistence_name:"ph_"+a+"_posthog"})(e),this.nr=this.br(e),this.load(),e.debug&&Mt.info("Persistence loaded",e.persistence,Ct({},this.props)),this.update_config(e,e,n),this.save()}isDisabled(){return!!this._r}br(e){kEe.indexOf(e.persistence.toLowerCase())===-1&&(Mt.critical("Unknown persistence type "+e.persistence+"; falling back to localStorage+cookie"),e.persistence="localStorage+cookie");var n=(function(a){a===void 0&&(a=[]);var s=[...yEe,...a];return Ct({},Ua,{F(o){try{var l={};try{l=Ld.F(o)||{}}catch{}var c=Xa(l,JSON.parse(Ua.A(o)||"{}"));return Ua.N(o,c),c}catch{}return null},N(o,l,c,d,f,p){try{Ua.N(o,l,void 0,void 0,p);var g={};

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62this.sessionTimeoutMs,!e.persistence)throw new Error("SessionIdManager requires a PostHogPersistence instance");if(e.config.cookieless_mode===t0)throw new Error('SessionIdManager cannot be used with cookieless_mode="always"');this.qt=e.config,this.ni=e.persistence,this.ci=void 0,this.di=void 0,this._sessionStartTimestamp=null,this._sessionActivityTimestamp=null,this.vi=n||uf,this.fi=r||uf;var s=this.qt.persistence_name||this.qt.token;if(this._sessionTimeoutMs=1e3*Bd(this.qt.session_idle_timeout_seconds||1800,60,36e3,LA.createLogger("session_idle_timeout_seconds"),1800),e.register({$configured_session_timeout_ms:this._sessionTimeoutMs}),this.pi(),this.gi="ph_"+s+"_window_id",this.mi="ph_"+s+"_primary_window_exists",this.yi()){var o=Di.F(this.gi),l=Di.F(this.mi);o&&!l?this.ci=o:Di.q(this.gi),Di.N(this.mi,!0)}if((a=this.qt.bootstrap)!=null&&a.sessionID)try{var c=(d=>{var f=this.qt.bootstrap.sessionID.replace(/-/g,"");if(f.length!==32)throw new Error("Not a valid UUID");if(f[12]!=="7")throw new Error("Not a UUIDv7");return parseInt(f.substring(0,12),16)})();this.bi(this.qt.bootstrap.sessionID,new Date().getTime(),c)}catch(d){LA.error("Invalid sessionID in bootstrap",d)}this.wi()}get sessionTimeoutMs(){return this._sessionTimeoutMs}onSessionId(e){return qt(this.ui)&&(this.ui=[]),this.ui.push(e),this.di&&e(this.di,this.ci),()=>{this.ui=this.ui.filter((n=>n!==e))}}yi(){return this.qt.persistence!=="memory"&&!this.ni._r&&Di.R()}xi(e){e!==this.ci&&(this.ci=e,this.yi()&&Di.N(this.gi,e))}Si(){return this.ci?this.ci:this.yi()?Di.F(this.gi):null}bi(e,n,r){e===this.di&&n===this._sessionActivityTimestamp&&r===this._sessionStartTimestamp||(this._sessionStartTimestamp=r,this._sessionActivityTimestamp=n,this.di=e,this.ni.register({[Uw]:[n,e,r]}))}ki(){var e=this.ni.props[Uw];return Ir(e)&&e.length===2&&e.push(e[0]),e||[0,null,0]}resetSessionId(){this.bi(null,null,null)}destroy(){clearTimeout(this.Ci),this.Ci=void 0,this.li&&Qe&&(Qe.removeEventListener(Vw,this.li,{capture:!1}),this.li=void 0),this.ui=[]}wi(){this.li=()=>{this.yi()&&Di.q(this.mi)},ks(Qe,Vw,this.li,{capture:!1})}checkAndGetSessionAndWindowId(e,n){if(e===void 0&&(e=!1),n===void 0&&(n=null),this.qt.cookieless_mode===t0)throw new Error('checkAndGetSessionAndWindowId should not be called with cookieless_mode="always"');var r=n||new Date().getTime(),[a,s,o]=this.ki(),l=this.Si(),c=h4(o)&&Math.abs(r-o)>864e5,d=!1,f=!s,p=!f&&!e&&this.hi(r,a);f||p||c?(s=this.vi(),l=this.fi(),LA.info("new session ID generated",{sessionId:s,windowId:l,changeReason:{noSessionId:f,activityTimeout:p,sessionPastMaximumLength:c}}),o=r,d=!0):l||(l=this.fi(),d=!0);var g=h4(a)&&e&&!c?a:r,y=h4(o)?o:new Date().getTime();return this.xi(l),this.bi(s,g,y),e||this.pi(),d&&this.ui.forEach((x=>x(s,l,d?{noSessionId:f,activityTimeout:p,sessionPastMaximumLength:c}:void 0))),{sessionId:s,windowId:l,sessionStartTimestamp:y,changeReason:d?{noSessionId:f,activityTimeout:p,sessionPastMaximumLength:c}:void 0,lastActivityTimestamp:a}}pi(){clearTimeout(this.Ci),this.Ci=setTimeout((()=>{var[e]=this.ki();if(this.hi(new Date().getTime(),e)){var n=this.di;this.resetSessionId(),this.ai.emit("forcedIdleReset",{idleSessionId:n})}}),1.1*this.sessionTimeoutMs)}}var uee=function(t,e){if(!t)return!1;var n=t.userAgent;if(n&&vq(n,e))return!0;try{var r=t?.userAgentData;if(r!=null&&r.brands&&r.brands.some((a=>vq(a?.brand,e))))return!0}catch{}return!!t.webdriver},Jw=function(t,e){if(!(function(n){try{new RegExp(n)}catch{return!1}return!0})(e))return!1;try{return new RegExp(e).test(t)}catch{return!1}};function Uq(t,e,n){return F4({distinct_id:t,userPropertiesToSet:e,userPropertiesToSetOnce:n})}var dee={exact:(t,e)=>e.some((n=>t.some((r=>n===r)))),is_not:(t,e)=>e.every((n=>t.every((r=>n!==r)))),regex:(t,e)=>e.some((n=>t.some((r=>Jw(n,r))))),not_regex:(t,e)=>e.every((n=>t.every((r=>!Jw(n,r))))),icontains:(t,e)=>e.map(Rb).some((n=>t.map(Rb).some((r=>n.includes(r))))),not_icontains:(t,e)=>e.map(Rb).every((n=>t.map(Rb).every((r=>!n.includes(r))))),gt:(t,e)=>e.some((n=>{var r=parseFloat(n);return!isNaN(r)&&t.some((a=>r>parseFloat(a)))})),lt:(t,e)=>e.some((n=>{var r=parseFloat(n);return!isNaN(r)&&t.some((a=>r<parseFloat(a)))}))},Rb=t=>t.toLowerCase();function fee(t,e){return!t||Object.entries(t).every((n=>{var[r,a]=n,s=e?.[r];if(qt(s)||O0(s))return!1;var o=[String(s)],l=dee[a.operator];return!!l&&l(a.values,o)}))}var RN="custom",$q="i.posthog.com",zEe=/^\/static\//;class VEe{constructor(e){this.Ii={},this.instance=e}get apiHost(){var e=this.instance.config.api_host.trim().replace(/\/$/,"");return e==="https://app.posthog.com"?"https://us.i.posthog.com":e}get flagsApiHost(){var e=this.instance.config.flags_api_host;return e?e.trim().replace(/\/$/,""):this.apiHost}get uiHost(){var e,n=(e=this.instance.config.ui_host)==null?void 0:e.replace(/\/$/,"");return n||(n=this.apiHost.replace("."+$q,".posthog.com")),n==="https://app.posthog.com"?"https://us.posthog.com":n}

62get region(){return this.Ii[this.apiHost]||(this.Ii[this.apiHost]=/https:\/\/(app|us|us-assets)(\.i)?\.posthog\.com/i.test(this.apiHost)?"us":/https:\/\/(eu|eu-assets)(\.i)?\.posthog\.com/i.test(this.apiHost)?"eu":RN),this.Ii[this.apiHost]}Ti(e){var n=this.instance.config.__preview_external_dependency_versioned_paths;if(typeof n=="string"&&zEe.test(e))return n.trim().replace(/\/$/,"")||void 0}endpointFor(e,n){if(n===void 0&&(n=""),n&&(n=n[0]==="/"?n:"/"+n),e==="ui")return this.uiHost+n;if(e==="flags")return this.flagsApiHost+n;if(e==="assets"){var r=this.Ti(n);if(r)return""+r+n}if(this.region===RN)return this.apiHost+n;var a=$q+n;switch(e){case"assets":return"https://"+this.region+"-assets."+a;case"api":return"https://"+this.region+"."+a}}}var ra=Ma("[Surveys]"),NN="seenSurvey_",GEe=[NA.Popover,NA.Widget,NA.API],WEe={ignoreConditions:!1,ignoreDelay:!1,displayType:EN.Popover},YEe=Ma("[PostHog ExternalIntegrations]"),XEe={intercom:"intercom-integration",crispChat:"crisp-chat-integration"};class KEe{constructor(e){this._instance=e}lr(e,n){var r;(r=un.__PosthogExtensions__)==null||r.loadExternalDependency==null||r.loadExternalDependency(this._instance,e,(a=>{if(a)return YEe.error("failed to load script",a);n()}))}startIfEnabledOrStop(){var e=this,n=function(o){var l,c,d;!a||(l=un.__PosthogExtensions__)!=null&&(l=l.integrations)!=null&&l[o]||e.lr(XEe[o],(()=>{var f;(f=un.__PosthogExtensions__)==null||(f=f.integrations)==null||(f=f[o])==null||f.start(e._instance)})),!a&&(c=un.__PosthogExtensions__)!=null&&(c=c.integrations)!=null&&c[o]&&((d=un.__PosthogExtensions__)==null||(d=d.integrations)==null||(d=d[o])==null||d.stop())};for(var[r,a]of Object.entries((s=this._instance.config.integrations)!==null&&s!==void 0?s:{})){var s;n(r)}}}var Qm,I8={},jA=0,DN=()=>{},qq='Consent opt in/out is not valid with cookieless_mode="always" and will be ignored',g7="Surveys module not available",Hq="sanitize_properties is deprecated. Use before_send instead",pee="Invalid value for property_denylist config: ",v4="posthog",hee=!jEe&&ll?.indexOf("MSIE")===-1&&ll?.indexOf("Mozilla")===-1,zq=t=>{var e;return Ct({api_host:"https://us.i.posthog.com",flags_api_host:null,ui_host:null,token:"",autocapture:!0,cross_subdomain_cookie:pEe(Pt?.location),persistence:"localStorage+cookie",persistence_name:"",cookie_persisted_properties:[],loaded:DN,save_campaign_params:!0,custom_campaign_params:[],custom_blocked_useragents:[],save_referrer:!0,capture_pageleave:"if_capture_pageview",defaults:t??"unset",__preview_deferred_init_extensions:!1,__preview_external_dependency_versioned_paths:!1,debug:Ri&&$a(Ri?.search)&&Ri.search.indexOf("__posthog_debug=true")!==-1||!1,cookie_expiration:365,upgrade:!1,disable_session_recording:!1,disable_persistence:!1,disable_web_experiments:!0,disable_surveys:!1,disable_surveys_automatic_display:!1,disable_conversations:!1,disable_product_tours:!1,disable_external_dependency_loading:!1,enable_recording_console_log:void 0,secure_cookie:(Qe==null||(e=Qe.location)==null?void 0:e.protocol)==="https:",ip:!1,opt_out_capturing_by_default:!1,opt_out_persistence_by_default:!1,opt_out_useragent_filter:!1,opt_out_capturing_persistence_type:"localStorage",consent_persistence_name:null,opt_out_capturing_cookie_prefix:null,opt_in_site_apps:!1,property_denylist:[],respect_dnt:!1,sanitize_properties:null,request_headers:{},request_batching:!0,properties_string_max_length:65535,mask_all_element_attributes:!1,mask_all_text:!1,mask_personal_data_properties:!1,custom_personal_data_properties:[],advanced_disable_flags:!1,advanced_disable_decide:!1,advanced_disable_feature_flags:!1,advanced_disable_feature_flags_on_first_load:!1,advanced_only_evaluate_survey_feature_flags:!1,advanced_feature_flags_dedup_per_session:!1,advanced_enable_surveys:!1,advanced_disable_toolbar_metrics:!1,feature_flag_request_timeout_ms:3e3,surveys_request_timeout_ms:1e4,on_request_error(n){Mt.error("Bad HTTP status: "+n.statusCode+" "+n.text)},get_device_id:n=>n,capture_performance:void 0,name:"posthog",bootstrap:{},disable_compression:!1,session_idle_timeout_seconds:1800,person_profiles:SN,before_send:void 0,request_queue_config:{flush_interval_ms:kN},error_tracking:{},_onCapture:DN,__preview_eager_load_replay:!1},(n=>({rageclick:!n||"2025-11-30">n||{content_ignorelist:!0},capture_pageview:!n||"2025-05-24">n||"history_change",session_recording:n&&n>="2025-11-30"?{strictMinimumDuration:!0}:{},external_scripts_inject_target:n&&n>="2026-01-30"?"head":"body",internal_or_test_user_hostname:n&&n>="2026-01-30"?/^(localhost|127\.0\.0\.1)$/:void 0}))(t))},ZEe=[["process_person","person_profiles"],["xhr_headers","request_headers"],["cookie_name","persistence_name"],["disable_cookie","disable_persistence"],["store_google","save_campaign_params"],["verbose","debug"]],Vq=t=>{var e={};for(var[n,r]of ZEe)qt(t[n])||(e[r]=t[n]);var a=Xa({},e,t);return Ir(t.property_blacklist)&&(qt(t.property_denylist)?a.property_denylist=t.property_blacklist:Ir(t.property_denylist)?a.property_denylist=[...t.property_blacklist,...t.property_denylist]:Mt.error(pee+t.property_denylist)),a};class JEe{constructor(){this.__forceAllowLocalhost=!1}get Ei(){return this.__forceAllowLocalhost}set Ei(e){Mt.error("WebPerformanceObserver is deprecated and has no impact on network capture. Use `_forceAllowLocalhostNetworkCapture` on `posthog.sessionRecording`"),this.__forceAllowLocalhost=e}}class Pc{Mi(e,n){if(e){var r=this.Pi.indexOf(e);r!==-1&&this.Pi.splice(r,1)}return this.Pi.push(n),n.initialize==null||n.initialize(),n}Ri(){return this.config.cookieless_mode===t0||this.config.cookieless_mode===ih&&this.consent.isRejected()}get decideEndpointWasHit(){var e,n;return(e=(n=this.featureFlags)==null?void 0:n.hasLoadedFlags)!==null&&e!==void 0&&e}get flagsEndpointWasHit(){var e,n;return(e=(n=this.featureFlags)==null?void 0:n.hasLoadedFlags)!==null&&e!==void 0&&e}constructor(){var e;

62this.webPerformance=new JEe,this.Oi=!1,this.version=ko.LIB_VERSION,this.Li=new eM,this.Pi=[],this._calculate_event_properties=this.calculateEventProperties.bind(this),this.config=zq(),this.SentryIntegration=_Ee,this.sentryIntegration=r=>(function(a,s){var o=XQ(a,s);return{name:YQ,processEvent:l=>o(l)}})(this,r),this.__request_queue=[],this.__loaded=!1,this.analyticsDefaultEndpoint="/e/",this.Fi=!1,this.Ai=null,this.Ni=null,this.$i=null,this.scrollManager=new qEe(this),this.pageViewManager=new Tq(this),this.rateLimiter=new NEe(this),this.requestRouter=new VEe(this),this.consent=new xEe(this),this.externalIntegrations=new KEe(this);var n=(e=Pc.__defaultExtensionClasses)!==null&&e!==void 0?e:{};this.featureFlags=n.featureFlags&&new n.featureFlags(this),this.toolbar=n.toolbar&&new n.toolbar(this),this.surveys=n.surveys&&new n.surveys(this),this.conversations=n.conversations&&new n.conversations(this),this.logs=n.logs&&new n.logs(this),this.experiments=n.experiments&&new n.experiments(this),this.exceptions=n.exceptions&&new n.exceptions(this),this.people={set:(r,a,s)=>{var o=$a(r)?{[r]:a}:r;this.setPersonProperties(o),s?.({})},set_once:(r,a,s)=>{var o=$a(r)?{[r]:a}:r;this.setPersonProperties(void 0,o),s?.({})}},this.on("eventCaptured",(r=>Mt.info('send "'+r?.event+'"',r)))}init(e,n,r){if(r&&r!==v4){var a,s=(a=I8[r])!==null&&a!==void 0?a:new Pc;return s._init(e,n,r),I8[r]=s,I8[v4][r]=s,s}return this._init(e,n,r)}_init(e,n,r){var a,s;if(n===void 0&&(n={}),qt(e)||Cx(e))return Mt.critical("PostHog was initialized without a token. This likely indicates a misconfiguration. Please check the first argument passed to posthog.init()"),this;if(this.__loaded)return console.warn("[PostHog.js]","You have already initialized PostHog! Re-initializing is a no-op"),this;this.__loaded=!0,this.config={},n.debug=this.Di(n.debug),this.qi=n,this.ji=[],n.person_profiles?this.Ni=n.person_profiles:n.process_person&&(this.Ni=n.process_person),this.set_config(Xa({},zq(n.defaults),Vq(n),{name:r,token:e})),this.config.on_xhr_error&&Mt.error("on_xhr_error is deprecated. Use on_request_error instead"),this.compression=n.disable_compression?void 0:Dd.GZipJS;var o=this.Hi();this.persistence=new RA(this.config,o),this.sessionPersistence=this.config.persistence==="sessionStorage"||this.config.persistence==="memory"?this.persistence:new RA(Ct({},this.config,{persistence:"sessionStorage"}),o);var l=Ct({},this.persistence.props),c=Ct({},this.sessionPersistence.props);this.register({$initialization_time:new Date().toISOString()}),this.Ui=new BEe((_=>this.Bi(_)),this.config.request_queue_config),this.zi=new $Ee(this),this.__request_queue=[];var d=this.Ri();if(d||(this.sessionManager=new Bq(this),this.sessionPropsManager=new Fq(this,this.sessionManager,this.persistence)),this.config.__preview_deferred_init_extensions?(Mt.info("Deferring extension initialization to improve startup performance"),setTimeout((()=>{this.Vi(d)}),0)):(Mt.info("Initializing extensions synchronously"),this.Vi(d)),ko.DEBUG=ko.DEBUG||this.config.debug,ko.DEBUG&&Mt.info("Starting in debug mode",{this:this,config:n,thisC:Ct({},this.config),p:l,s:c}),!this.config.identity_distinct_id||(a=n.bootstrap)!=null&&a.distinctID||(n.bootstrap=Ct({},n.bootstrap,{distinctID:this.config.identity_distinct_id,isIdentifiedID:!0})),((s=n.bootstrap)==null?void 0:s.distinctID)!==void 0){var f=n.bootstrap.distinctID,p=this.get_distinct_id(),g=this.persistence.get_property(yu);if(n.bootstrap.isIdentifiedID&&p!=null&&p!==f&&g===Km)this.identify(f);else if(n.bootstrap.isIdentifiedID&&p!=null&&p!==f&&g===Zm)Mt.warn("Bootstrap distinctID differs from an already-identified user. The existing identity is preserved. Call reset() before reinitializing if you intend to switch users.");else{var y=this.config.get_device_id(uf()),x=n.bootstrap.isIdentifiedID?y:f;this.persistence.set_property(yu,n.bootstrap.isIdentifiedID?Zm:Km),this.register({distinct_id:f,$device_id:x})}}if(d)this.register_once({distinct_id:Eb,$device_id:null},"");else if(!this.get_distinct_id()){var b=this.config.get_device_id(uf());this.register_once({distinct_id:b,$device_id:b},""),this.persistence.set_property(yu,Km)}return ks(Qe,"onpagehide"in self?"pagehide":"unload",this._handle_unload.bind(this),{passive:!1}),n.segment?(function(_,E){var A=_.config.segment;if(!A)return E();(function(S,k){var I=S.config.segment;if(!I)return k();var N=O=>{var j=()=>O.anonymousId()||uf();S.config.get_device_id=j,O.id()&&(S.register({distinct_id:O.id(),$device_id:j()}),S.persistence.set_property(yu,Zm)),k()},D=I.user();"then"in D&&J1(D.then)?D.then(N):N(D)})(_,(()=>{A.register((S=>{Promise&&Promise.resolve||kA.warn("This browser does not have Promise support, and can not use the segment integration");var k=(I,N)=>{if(!N)return I;I.event.userId||I.event.anonymousId===S.get_distinct_id()||(kA.info("No userId set, resetting PostHog"),S.reset()),I.event.userId&&I.event.userId!==S.get_distinct_id()&&(kA.info("UserId set, identifying with PostHog"),S.identify(I.event.userId)

62);var D=S.calculateEventProperties(N,I.event.properties);return I.event.properties=Object.assign({},D,I.event.properties),I};return{name:"PostHog JS",type:"enrichment",version:"1.0.0",isLoaded:()=>!0,load:()=>Promise.resolve(),track:I=>k(I,I.event.event),page:I=>k(I,g4),identify:I=>k(I,AA),screen:I=>k(I,"$screen")}})(_)).then((()=>{E()}))}))})(this,(()=>this.Wi())):this.Wi(),J1(this.config._onCapture)&&this.config._onCapture!==DN&&(Mt.warn("onCapture is deprecated. Please use `before_send` instead"),this.on("eventCaptured",(_=>this.config._onCapture(_.event,_)))),this.config.ip&&Mt.warn('The `ip` config option has NO EFFECT AT ALL and has been deprecated. Use a custom transformation or "Discard IP data" project setting instead. See https://posthog.com/tutorials/web-redact-properties#hiding-customer-ip-address for more information.'),this}Vi(e){var n,r,a,s,o,l,c,d=performance.now(),f=Ct({},Pc.__defaultExtensionClasses,this.config.__extensionClasses),p=[];f.featureFlags&&this.Pi.push(this.featureFlags=(n=this.featureFlags)!==null&&n!==void 0?n:new f.featureFlags(this)),f.exceptions&&this.Pi.push(this.exceptions=(r=this.exceptions)!==null&&r!==void 0?r:new f.exceptions(this)),f.historyAutocapture&&this.Pi.push(this.historyAutocapture=new f.historyAutocapture(this)),f.tracingHeaders&&this.Pi.push(new f.tracingHeaders(this)),f.siteApps&&this.Pi.push(this.siteApps=new f.siteApps(this)),f.sessionRecording&&!e&&this.Pi.push(this.sessionRecording=new f.sessionRecording(this)),this.config.disable_scroll_properties||p.push((()=>{this.scrollManager.startMeasuringScrollPosition()})),f.autocapture&&this.Pi.push(this.autocapture=new f.autocapture(this)),f.surveys&&this.Pi.push(this.surveys=(a=this.surveys)!==null&&a!==void 0?a:new f.surveys(this)),f.logs&&this.Pi.push(this.logs=(s=this.logs)!==null&&s!==void 0?s:new f.logs(this)),f.conversations&&this.Pi.push(this.conversations=(o=this.conversations)!==null&&o!==void 0?o:new f.conversations(this)),f.productTours&&this.Pi.push(this.productTours=new f.productTours(this)),f.heatmaps&&this.Pi.push(this.heatmaps=new f.heatmaps(this)),f.webVitalsAutocapture&&this.Pi.push(this.webVitalsAutocapture=new f.webVitalsAutocapture(this)),f.exceptionObserver&&this.Pi.push(this.exceptionObserver=new f.exceptionObserver(this)),f.deadClicksAutocapture&&this.Pi.push(this.deadClicksAutocapture=new f.deadClicksAutocapture(this,CEe)),f.toolbar&&this.Pi.push(this.toolbar=(l=this.toolbar)!==null&&l!==void 0?l:new f.toolbar(this)),f.experiments&&this.Pi.push(this.experiments=(c=this.experiments)!==null&&c!==void 0?c:new f.experiments(this)),this.Pi.forEach((g=>{g.initialize&&p.push((()=>{g.initialize==null||g.initialize()}))})),p.push((()=>{if(this.Zi){var g=this.Zi;this.Zi=void 0,this.Rr(g)}})),this.Gi(p,d)}Gi(e,n){for(;e.length>0;){if(this.config.__preview_deferred_init_extensions&&performance.now()-n>=30&&e.length>0)return void setTimeout((()=>{this.Gi(e,n)}),0);var r=e.shift();if(r)try{r()}catch(s){Mt.error("Error initializing extension:",s)}}var a=Math.round(performance.now()-n);this.register_for_session({[HQ]:this.config.__preview_deferred_init_extensions?"deferred":"synchronous",[zQ]:a}),this.config.__preview_deferred_init_extensions&&Mt.info("PostHog extensions initialized ("+a+"ms)")}Rr(e){var n;if(!Pt||!Pt.body)return Mt.info("document not ready yet, trying again in 500 milliseconds..."),void setTimeout((()=>{this.Rr(e)}),500);this.config.__preview_deferred_init_extensions&&(this.Zi=e),this.Qi=e,this.compression=void 0,e.supportedCompression&&!this.config.disable_compression&&(this.compression=dr(e.supportedCompression,Dd.GZipJS)?Dd.GZipJS:dr(e.supportedCompression,Dd.Base64)?Dd.Base64:void 0),(n=e.analytics)!=null&&n.endpoint&&(this.analyticsDefaultEndpoint=e.analytics.endpoint),this.set_config({person_profiles:this.Ni?this.Ni:SN}),this.Pi.forEach((r=>r.onRemoteConfig==null?void 0:r.onRemoteConfig(e)))}Wi(){try{this.config.loaded(this)}catch(r){Mt.critical("`loaded` function failed",r)}if(this.Ji(),this.config.internal_or_test_user_hostname&&Ri!=null&&Ri.hostname){var e=Ri.hostname,n=this.config.internal_or_test_user_hostname;(typeof n=="string"?e===n:n.test(e))&&this.setInternalOrTestUser()}this.config.capture_pageview&&setTimeout((()=>{(this.consent.isOptedIn()||this.Ri())&&this.Ki()}),1),this.Yi=new ree(this),this.Yi.load()}Ji(){var e;this.is_capturing()&&this.config.request_batching&&((e=this.Ui)==null||e.enable())}_dom_loaded(){this.is_capturing()&&Ib(this.__request_queue,(e=>this.Bi(e))),this.__request_queue=[],this.Ji()}_handle_unload(){var e,n,r,a;(e=this.surveys)==null||e.handlePageUnload(),this.config.request_batching?(this.Xi()&&this.capture(IA),(n=this.logs)==null||n.flushLogs("sendBeacon"),(r=this.Ui)==null||r.unload(),(a=this.zi)==null||a.unload()):this.Xi()&&this.capture(IA,null,{transport:"sendBeacon"})}_send_request(e){this.__loaded&&(hee?this.__request_queue.push(e):this.rateLimiter.isServerRateLimited(e.batchKey)||(e.transport=e.transport||this.config.api_transport,e.url=I_(e.url,{ip:this.config.ip?1:0}),e.headers=Ct({},this.config.request_headers,e.headers),e.compression=e.compression==="best-available"?this.compression:e.compression,e.disableXHRCredentials=this.config.__preview_disable_xhr_credentials,this.config.__preview_disable_beacon&&(e.disableTransport=["sendBeacon"]),e.fetchOptions=e.fetchOptions||this.config.fetch_options,

62(n=>{var r,a,s,o=Ct({},n);o.timeout=o.timeout||6e4,o.url=jq(o.url,o.compression);var l=(r=o.transport)!==null&&r!==void 0?r:"fetch",c=Ix.filter((f=>!o.disableTransport||!f.transport||!o.disableTransport.includes(f.transport))),d=(a=(s=(function(f,p){for(var g=0;f.length>g;g++)if(f[g].transport===l)return f[g]})(c))==null?void 0:s.method)!==null&&a!==void 0?a:c[0].method;if(!d)throw new Error("No available transport method");l!=="sendBeacon"&&o.data&&o.compression===Dd.GZipJS&&_Se&&!Lq?FEe(o).then((f=>{d(f)})).catch((f=>{if((p=>!(!p||typeof p!="object")&&("name"in p?String(p.name):"")==="NotReadableError")(f))return Lq=!0,void d(Ct({},o,{compression:void 0,url:jq(n.url,void 0)}));d(o)})):d(o)})(Ct({},e,{callback:n=>{var r,a;this.rateLimiter.checkForLimiting(n),400>n.statusCode||(r=(a=this.config).on_request_error)==null||r.call(a,n),e.callback==null||e.callback(n)}}))))}Bi(e){this.zi?this.zi.retriableRequest(e):this._send_request(e)}_execute_array(e){jA++;try{var n,r=[],a=[],s=[];Ib(e,(l=>{l&&(Ir(n=l[0])?s.push(l):J1(l)?l.call(this):Ir(l)&&n==="alias"?r.push(l):Ir(l)&&n.indexOf("capture")!==-1&&J1(this[n])?s.push(l):a.push(l))}));var o=function(l,c){Ib(l,(function(d){if(Ir(d[0])){var f=c;Ea(d,(function(p){f=f[p[0]].apply(f,p.slice(1))}))}else c[d[0]].apply(c,d.slice(1))}))};o(r,this),o(a,this),o(s,this)}finally{jA--}}push(e){if(jA>0&&Ir(e)&&$a(e[0])){var n=Pc.prototype[e[0]];J1(n)&&n.apply(this,e.slice(1))}else this._execute_array([e])}capture(e,n,r){var a,s,o,l,c;if(this.__loaded&&this.persistence&&this.sessionPersistence&&this.Ui){if(this.is_capturing())if(!qt(e)&&$a(e)){var d=!this.config.opt_out_useragent_filter&&this._is_bot();if(!d||this.config.__preview_capture_bot_pageviews){var f=r!=null&&r.skip_client_rate_limiting?void 0:this.rateLimiter.clientRateLimitContext();if(f==null||!f.isRateLimited){n!=null&&n.$current_url&&!$a(n?.$current_url)&&(Mt.error("Invalid `$current_url` property provided to `posthog.capture`. Input must be a string. Ignoring provided value."),n==null||delete n.$current_url),e!=="$exception"||r!=null&&r.en||Mt.warn("Using `posthog.capture('$exception')` is unreliable because it does not attach required metadata. Use `posthog.captureException(error)` instead, which attaches required metadata automatically."),this.sessionPersistence.update_search_keyword(),this.config.save_campaign_params&&this.sessionPersistence.update_campaign_params(),this.config.save_referrer&&this.sessionPersistence.update_referrer_info(),(this.config.save_campaign_params||this.config.save_referrer)&&this.persistence.set_initial_person_info();var p=new Date,g=r?.timestamp||p,y=uf(),x={uuid:y,event:e,properties:this.calculateEventProperties(e,n||{},g,y)};e===g4&&this.config.__preview_capture_bot_pageviews&&d&&(x.event="$bot_pageview",x.properties.$browser_type="bot"),f&&(x.properties.$lib_rate_limit_remaining_tokens=f.remainingTokens),r?.$set&&(x.$set=r?.$set);var b,_,E,A=this.tn(r?.$set_once,e!==Sq,e===AA);if(A&&(x.$set_once=A),r!=null&&r._noTruncate||(s=this.config.properties_string_max_length,o=x,l=j=>$a(j)?j.slice(0,s):j,c=new Set,x=(function j(M,$){return M!==Object(M)?l?l(M):M:c.has(M)?void 0:(c.add(M),Ir(M)?(L=[],Ib(M,(z=>{L.push(j(z))}))):(L={},Ea(M,((z,H)=>{c.has(z)||(L[H]=j(z))}))),L);var L})(o)),x.timestamp=g,qt(r?.timestamp)||(x.properties.$event_time_override_provided=!0,x.properties.$event_time_override_system_time=p),e===W7.DISMISSED||e===W7.SENT){var S=n?.[DA.SURVEY_ID],k=n?.[DA.SURVEY_ITERATION];(j=>{try{var M=($=>((L,z)=>{var H=""+NN+z.id;return z.current_iteration&&z.current_iteration>0&&(H=""+NN+z.id+"_"+z.current_iteration),H})(0,$))(j);if(localStorage.getItem(M))return;localStorage.setItem(M,"true")}catch($){ra.error("Failed to persist survey seen state",$)}})({id:S,current_iteration:k}),x.$set=Ct({},x.$set,{[(b={id:S,current_iteration:k},_=e===W7.SENT?"responded":"dismissed",E="$survey_"+_+"/"+b.id,b.current_iteration&&b.current_iteration>0&&(E="$survey_"+_+"/"+b.id+"/"+b.current_iteration),E)]:!0})}else e===W7.SHOWN&&(x.$set=Ct({},x.$set,{[DA.SURVEY_LAST_SEEN_DATE]:new Date().toISOString()}));if(e===REe.SHOWN){var I=n?.[Rq.TOUR_TYPE];I&&(x.$set=Ct({},x.$set,{[Rq.TOUR_LAST_SEEN_DATE+"/"+I]:new Date().toISOString()}))}var N=Ct({},x.properties.$set,x.$set);if(L4(N)||this.setPersonPropertiesForFlags(N),!fr(this.config.before_send)){var D=this.rn(x);if(!D)return;x=D}this.Li.emit("eventCaptured",x);var O={method:"POST",url:(a=r?._url)!==null&&a!==void 0?a:this.requestRouter.endpointFor("api",this.analyticsDefaultEndpoint),data:x,compression:"best-available",batchKey:r?._batchKey};return!this.config.request_batching||r&&(r==null||!r._batchKey)||r!=null&&r.send_instantly?this.Bi(O):this.Ui.enqueue(O),x}Mt.critical("This capture call is ignored due to client rate limiting.")}}else Mt.error("No event name provided to posthog.capture")}else Mt.uninitializedWarning("posthog.capture")}_addCaptureHook(e){return this.on("eventCaptured",(n=>e(n.event,n)))}calculateEventProperties(e,n,r,a,s){if(r=r||new Date,!this.persistence||!this.sessionPersistence)return n;var o=s?void 0:this.persistence.remove_event_timer(e),l=Ct({},n);if(l.token=this.config.token,l.$config_defaults=this.config.defaults,this.Ri()&&(l.$cookieless_mode=!0),e==="$snapshot"){var c=Ct({},this.persistence.properties(),this.sessionPersistence.properties());return l.distinct_id=c.distinct_id,(!$a(l.distinct_id)&&!Hc(l.distinct_id)||Cx(l.distinct_id))&&Mt.error("Invalid distinct_id for replay event. This indicates a bug in your implementation"),l}var d,f=(function(E,A){var S,k,I,N;if(!ll)return{};var D,O,j,M,$,L,z,H,J=E?[...J5,...A||[]]:[],[X,Y]=(function(F){for(var W=0;xq.length>W;W++){var[G,q]=xq[W],Z=G.exec(F),le=Z&&(J1(q)?q(Z,F):q);if(le)return le}return["",""]})(ll);return Xa(ZO({$os:X,$os_version:Y,$browser:NQ(ll,navigator.vendor),$device:wq(ll),$device_type:(O=ll,j={userAgentDataPlatform:(S=navigator)==null||(S=S.userAgentData)==null?void 0:S.platform,maxTouchPoints:(k=navigator)==null?void 0:k.maxTouchPoints,screenWidth:Qe==null||(I=Qe.screen)==null?void 0:I.width,screenHeight:Qe==null||(N=Qe.screen)==null?void 0:N.height,devicePixelRatio:Qe?.devicePixelRatio},H=wq(O),H===vQ||H===gQ||H==="Kobo"||H==="Kindle Fire"||H===RQ?X5:H===vv||H===R5||H===yv||H===nN?"Console":H===bQ?"Wearable":H?Kl:j?.userAgentDataPlatform==="Android"&&((M=j?.maxTouchPoints)!==null&&M!==void 0?M:0)>0?600>Math.min(($=j?.screenWidth)!==null&&$!==void 0?$:0,(L=j?.screenHeight)!==null&&L!==void 0?L:0)/((z=j?.devicePixelRatio)!==null&&z!==void 0?z:1)?Kl:X5:"Desktop"),$timezone:nee(),$timezone_offset:TEe()}),{$current_url:bv(Ri?.href,J,xv),$host:Ri?.host,$pathname:Ri?.pathname,$raw_user_agent:ll.length>1e3?ll.substring(0,997)+"...":ll,$browser_version:BSe(ll,navigator.vendor),$browser_language:kq(),$browser_language_prefix:(D=kq(),typeof D=="str

62ing"?D.split("-")[0]:void 0),$screen_height:Qe?.screen.height,$screen_width:Qe?.screen.width,$viewport_height:Qe?.innerHeight,$viewport_width:Qe?.innerWidth,$lib:ko.LIB_NAME,$lib_version:ko.LIB_VERSION,$insert_id:Math.random().toString(36).substring(2,10)+Math.random().toString(36).substring(2,10),$time:Date.now()/1e3})})(this.config.mask_personal_data_properties,this.config.custom_personal_data_properties);if(this.sessionManager){var{sessionId:p,windowId:g}=this.sessionManager.checkAndGetSessionAndWindowId(s,r.getTime());l.$session_id=p,l.$window_id=g}this.sessionPropsManager&&Xa(l,this.sessionPropsManager.getSessionProps());try{var y;this.sessionRecording&&Xa(l,this.sessionRecording.sdkDebugProperties),l.$sdk_debug_retry_queue_size=(y=this.zi)==null?void 0:y.length}catch(E){l.$sdk_debug_error_capturing_properties=String(E)}if(this.requestRouter.region===RN&&(l.$lib_custom_api_host=this.config.api_host),d=e!==g4||s?e!==IA||s?this.pageViewManager.doEvent():this.pageViewManager.doPageLeave(r):this.pageViewManager.doPageView(r,a),l=Xa(l,d),e===g4&&Pt&&(l.title=Pt.title),!qt(o)){var x=r.getTime()-o;l.$duration=parseFloat((x/1e3).toFixed(3))}ll&&this.config.opt_out_useragent_filter&&(l.$browser_type=this._is_bot()?"bot":"browser"),(l=Xa({},f,this.persistence.properties(),this.sessionPersistence.properties(),l)).$is_identified=this._isIdentified(),Ir(this.config.property_denylist)?Ea(this.config.property_denylist,(function(E){delete l[E]})):Mt.error(pee+this.config.property_denylist+" or property_blacklist config: "+this.config.property_blacklist);var b=this.config.sanitize_properties;b&&(Mt.error(Hq),l=b(l,e));var _=this.nn();return l.$process_person_profile=_,_&&!s&&this.sn("_calculate_event_properties"),l}tn(e,n,r){var a;if(n===void 0&&(n=!0),r===void 0&&(r=!1),!this.persistence||!this.nn()||this.Oi&&!r)return e;var s=this.persistence.get_initial_props(),o=(a=this.sessionPropsManager)==null?void 0:a.getSetOnceProps(),l=Xa({},s,o||{},e||{}),c=this.config.sanitize_properties;return c&&(Mt.error(Hq),l=c(l,"$set_once")),n&&(this.Oi=!0),L4(l)?void 0:l}register(e,n){var r;(r=this.persistence)==null||r.register(e,n)}register_once(e,n,r){var a;(a=this.persistence)==null||a.register_once(e,n,r)}register_for_session(e){var n;(n=this.sessionPersistence)==null||n.register(e)}unregister(e){var n;(n=this.persistence)==null||n.unregister(e)}unregister_for_session(e){var n;(n=this.sessionPersistence)==null||n.unregister(e)}an(e,n){this.register({[e]:n})}getFeatureFlag(e,n){var r;return(r=this.featureFlags)==null?void 0:r.getFeatureFlag(e,n)}getFeatureFlagPayload(e){var n;return(n=this.featureFlags)==null?void 0:n.getFeatureFlagPayload(e)}getFeatureFlagResult(e,n){var r;return(r=this.featureFlags)==null?void 0:r.getFeatureFlagResult(e,n)}isFeatureEnabled(e,n){var r;return(r=this.featureFlags)==null?void 0:r.isFeatureEnabled(e,n)}reloadFeatureFlags(){var e;(e=this.featureFlags)==null||e.reloadFeatureFlags()}updateFlags(e,n,r){var a;(a=this.featureFlags)==null||a.updateFlags(e,n,r)}updateEarlyAccessFeatureEnrollment(e,n,r){var a;(a=this.featureFlags)==null||a.updateEarlyAccessFeatureEnrollment(e,n,r)}getEarlyAccessFeatures(e,n,r){var a;return n===void 0&&(n=!1),(a=this.featureFlags)==null?void 0:a.getEarlyAccessFeatures(e,n,r)}on(e,n){return this.Li.on(e,n)}onFeatureFlags(e){return this.featureFlags?this.featureFlags.onFeatureFlags(e):(e([],{},{errorsLoading:!0}),()=>{})}onSurveysLoaded(e){return this.surveys?this.surveys.onSurveysLoaded(e):(e([],{isLoaded:!1,error:g7}),()=>{})}onSessionId(e){var n,r;return(n=(r=this.sessionManager)==null?void 0:r.onSessionId(e))!==null&&n!==void 0?n:()=>{}}getSurveys(e,n){n===void 0&&(n=!1),this.surveys?this.surveys.getSurveys(e,n):e([],{isLoaded:!1,error:g7})}getActiveMatchingSurveys(e,n){n===void 0&&(n=!1),this.surveys?this.surveys.getActiveMatchingSurveys(e,n):e([],{isLoaded:!1,error:g7})}renderSurvey(e,n){var r;(r=this.surveys)==null||r.renderSurvey(e,n)}displaySurvey(e,n){var r;n===void 0&&(n=WEe),(r=this.surveys)==null||r.displaySurvey(e,n)}cancelPendingSurvey(e){var n;(n=this.surveys)==null||n.cancelPendingSurvey(e)}canRenderSurvey(e){var n,r;return(n=(r=this.surveys)==null?void 0:r.canRenderSurvey(e))!==null&&n!==void 0?n:{visible:!1,disabledReason:g7}}canRenderSurveyAsync(e,n){var r,a;return n===void 0&&(n=!1),(r=(a=this.surveys)==null?void 0:a.canRenderSurveyAsync(e,n))!==null&&r!==void 0?r:Promise.resolve({visible:!1,disabledReason:g7})}un(e){return!e||Cx(e)?(Mt.critical("Unique user id has not been set in posthog.identify"),!1):e===Eb?(Mt.critical('The string "'+e+'" was set in posthog.identify which indicates an error. This ID is only used as a sentinel value.'),!1):!["distinct_id","distinctid"].includes(e.toLowerCase())&&!["undefined","null"].includes(e.toLowerCase())||(Mt.critical('The string "'+e+'" was set in posthog.identify which indicates an error. This ID should be unique to the user and n

62ot a hardcoded string.'),!1)}identify(e,n,r){if(!this.__loaded||!this.persistence)return Mt.uninitializedWarning("posthog.identify");if(Hc(e)&&(e=e.toString(),Mt.warn("The first argument to posthog.identify was a number, but it should be a string. It has been converted to a string.")),this.un(e)&&this.sn("posthog.identify")){var a=this.get_distinct_id();this.register({$user_id:e}),this.get_property(Bw)||this.register_once({$had_persisted_distinct_id:!0,$device_id:a},""),e!==a&&e!==this.get_property(q7)&&(this.unregister(q7),this.register({distinct_id:e}));var s,o=(this.persistence.get_property(yu)||Km)===Km;e!==a&&o?(this.persistence.set_property(yu,Zm),this.setPersonPropertiesForFlags({$set:n||{},$set_once:r||{}},!1),this.capture(AA,{distinct_id:e,$anon_distinct_id:a},{$set:n||{},$set_once:r||{}}),this.$i=Uq(e,n,r),(s=this.featureFlags)==null||s.setAnonymousDistinctId(a)):(n||r)&&this.setPersonProperties(n,r),e!==a&&(this.reloadFeatureFlags(),this.unregister(S8))}}setPersonProperties(e,n){if((e||n)&&this.sn("posthog.setPersonProperties")){var r=Uq(this.get_distinct_id(),e,n);this.$i!==r?(this.setPersonPropertiesForFlags({$set:e||{},$set_once:n||{}},!0),this.capture("$set",{$set:e||{},$set_once:n||{}}),this.$i=r):Mt.info("A duplicate setPersonProperties call was made with the same properties. It has been ignored.")}}group(e,n,r){if(e&&n){var a=this.getGroups(),s=a[e]!==n;if(s&&this.resetGroupPropertiesForFlags(e),this.register({$groups:Ct({},a,{[e]:n})}),s||r){var o={$group_type:e,$group_key:n};r&&(o.$group_set=r),this.capture(Sq,o)}r&&this.setGroupPropertiesForFlags({[e]:r}),s&&!r&&this.reloadFeatureFlags()}else Mt.error("posthog.group requires a group type and group key")}resetGroups(){this.register({$groups:{}}),this.resetGroupPropertiesForFlags(),this.reloadFeatureFlags()}setPersonPropertiesForFlags(e,n){var r;n===void 0&&(n=!0),(r=this.featureFlags)==null||r.setPersonPropertiesForFlags(e,n)}resetPersonPropertiesForFlags(){var e;(e=this.featureFlags)==null||e.resetPersonPropertiesForFlags()}setGroupPropertiesForFlags(e,n){var r;n===void 0&&(n=!0),this.sn("posthog.setGroupPropertiesForFlags")&&((r=this.featureFlags)==null||r.setGroupPropertiesForFlags(e,n))}resetGroupPropertiesForFlags(e){var n;(n=this.featureFlags)==null||n.resetGroupPropertiesForFlags(e)}reset(e){var n,r,a,s,o,l,c,d;if(Mt.info("reset"),!this.__loaded)return Mt.uninitializedWarning("posthog.reset");var f=this.get_property(Bw);if(this.consent.reset(),(n=this.persistence)==null||n.clear(),(r=this.sessionPersistence)==null||r.clear(),(a=this.surveys)==null||a.reset(),(s=this.Yi)==null||s.stop(),(o=this.featureFlags)==null||o.reset(),(l=this.conversations)==null||l.reset(),(c=this.persistence)==null||c.set_property(yu,Km),

62(d=this.sessionManager)==null||d.resetSessionId(),this.$i=null,this.config.cookieless_mode===t0)this.register_once({distinct_id:Eb,$device_id:null},"");else{var p=this.config.get_device_id(uf());this.register_once({distinct_id:p,$device_id:e?p:f},"")}this.register({$last_posthog_reset:new Date().toISOString()},1),delete this.config.identity_distinct_id,delete this.config.identity_hash,this.reloadFeatureFlags()}setIdentity(e,n){var r;this.config.identity_distinct_id=e,this.config.identity_hash=n,this.alias(e),(r=this.conversations)==null||r.ln()}clearIdentity(){var e;delete this.config.identity_distinct_id,delete this.config.identity_hash,(e=this.conversations)==null||e.hn()}get_distinct_id(){return this.get_property("distinct_id")}getGroups(){return this.get_property("$groups")||{}}get_session_id(){var e,n;return(e=(n=this.sessionManager)==null?void 0:n.checkAndGetSessionAndWindowId(!0).sessionId)!==null&&e!==void 0?e:""}get_session_replay_url(e){if(!this.sessionManager)return"";var{sessionId:n,sessionStartTimestamp:r}=this.sessionManager.checkAndGetSessionAndWindowId(!0),a=this.requestRouter.endpointFor("ui","/project/"+this.config.token+"/replay/"+n);if(e!=null&&e.withTimestamp&&r){var s,o=(s=e.timestampLookBack)!==null&&s!==void 0?s:10;if(!r)return a;a+="?t="+Math.max(Math.floor((new Date().getTime()-r)/1e3)-o,0)}return a}alias(e,n){return e===this.get_property(jQ)?(Mt.critical("Attempting to create alias for existing People user - aborting."),-2):this.sn("posthog.alias")?(qt(n)&&(n=this.get_distinct_id()),e!==n?(this.an(q7,e),this.capture("$create_alias",{alias:e,distinct_id:n})):(Mt.warn("alias matches current distinct_id - skipping api call."),this.identify(e),-1)):void 0}set_config(e){var n=Ct({},this.config);if(ps(e)){var r,a,s,o,l,c,d,f,p,g;Xa(this.config,Vq(e));var y=this.Hi();(r=this.persistence)==null||r.update_config(this.config,n,y),this.sessionPersistence=this.config.persistence==="sessionStorage"||this.config.persistence==="memory"?this.persistence:new RA(Ct({},this.config,{persistence:"sessionStorage"}),y);var x=this.Di(this.config.debug);Fd(x)&&(this.config.debug=x),Fd(this.config.debug)&&(this.config.debug?(ko.DEBUG=!0,Ua.R()&&Ua.N("ph_debug",!0),Mt.info("set_config",{config:e,oldConfig:n,newConfig:Ct({},this.config)})):(ko.DEBUG=!1,Ua.R()&&Ua.q("ph_debug"))),(a=this.exceptionObserver)==null||a.onConfigChange(),(s=this.exceptions)==null||s.onConfigChange(),(o=this.sessionRecording)==null||o.startIfEnabledOrStop(),(l=this.autocapture)==null||l.startIfEnabled(),(c=this.heatmaps)==null||c.startIfEnabled(),(d=this.exceptionObserver)==null||d.startIfEnabledOrStop(),(f=this.deadClicksAutocapture)==null||f.startIfEnabledOrStop(),(p=this.surveys)==null||p.loadIfEnabled(),this.cn(),(g=this.externalIntegrations)==null||g.startIfEnabledOrStop()}}_overrideSDKInfo(e,n){ko.LIB_NAME=e,ko.LIB_VERSION=n}startSessionRecording(e){var n,r,a,s,o,l=e===!0,c={sampling:l||!(e==null||!e.sampling),linked_flag:l||!(e==null||!e.linked_flag),url_trigger:l||!(e==null||!e.url_trigger),event_trigger:l||!(e==null||!e.event_trigger)};Object.values(c).some(Boolean)&&((n=this.sessionManager)==null||n.checkAndGetSessionAndWindowId(),c.sampling&&((r=this.sessionRecording)==null||r.overrideSampling()),c.linked_flag&&((a=this.sessionRecording)==null||a.overrideLinkedFlag()),c.url_trigger&&((s=this.sessionRecording)==null||s.overrideTrigger("url")),c.event_trigger&&((o=this.sessionRecording)==null||o.overrideTrigger("event"))),this.set_config({disable_session_recording:!1})}stopSessionRecording(){this.set_config({disable_session_recording:!0})}sessionRecordingStarted(){var e;return!((e=this.sessionRecording)==null||!e.started)}captureException(e,n){if(this.exceptions){var r=new Error("PostHog syntheticException"),a=this.exceptions.buildProperties(e,{handled:!0,syntheticException:r});return this.exceptions.sendExceptionEvent(Ct({},a,n))}}addExceptionStep(e,n){var r;(r=this.exceptions)==null||r.addExceptionStep(e,n)}captureLog(e){var n;(n=this.logs)==null||n.captureLog(e)}get logger(){var e,n;return(e=(n=this.logs)==null?void 0:n.logger)!==null&&e!==void 0?e:Pc.dn}startExceptionAutocapture(e){this.set_config({capture_exceptions:e==null||e})}stopExceptionAutocapture(){this.set_config({capture_exceptions:!1})}loadToolbar(e){var n,r;return(n=(r=this.toolbar)==null?void 0:r.loadToolbar(e))!==null&&n!==void 0&&n}get_property(e){var n;return(n=this.persistence)==null?void 0:n.props[e]}getSessionProperty(e){var n;return(n=this.sessionPersistence)==null?void 0:n.props[e]}toString(){var e,n=(e=this.config.name)!==null&&e!==void 0?e:v4;return n!==v4&&(n=v4+"."+n),n}_isIdentified(){var e,n;return((e=this.persistence)==null?void 0:e.get_property(yu))===Zm||((n=this.sessionPersistence)==null?void 0:n.get_property(yu))===Zm}nn(){var e,n;return!(this.config.person_profiles==="never"||this.config.person_profiles===SN&&!this._isIdentified()&&L4(this.getGroups())&&((e=this.persistence)==null||(e=e.props)==null||!e[q7])&&((n=this.persistence)==null||(n=n.props)==null||!n[Hw]))}Xi(){return this.config.capture_pageleave===!0||this.config.capture_pageleave==="if_capture_pageview"&&(this.config.capture_pageview===!0||this.config.capture_pageview==="history_change")}createPersonProfile(){this.nn()||this.sn("posthog.createPersonProfile")&&this.setPersonProperties({},{})}setInternalOrTestUser(){this.sn("posthog.setInternalOrTestUser")&&this.setPersonProperties({$internal_or_test_user:!0})}sn(e){return this.config.person_profiles==="never"?(Mt.error(e+' was called, but process_person is set to "never". This call will be ignored.'),!1):(this.an(Hw,!0),!0)}Hi(){if(this.config.cookieless_mode==="always")return!0;var e=this.consent.isOptedOut();return this.config.disable_persistence||e&&!(!this.config.opt_out_persistence_by_default&&this.config.cookieless_mode!==ih)}cn(){var e,n,r,a,s=this.Hi();return((e=this.persistence)==null?void 0:e._r)!==s&&((r=this.persistence)==null||r.set_disabled(s)),((n=this.sessionPersistence)==null?void 0:n._r)!==s&&((a=this.sessionPersistence)==null||a.set_disabled(s)),s}opt_in_capturing(e){var n;if(this.config.cookieless_mode!==t0){if(this.Ri()){var r,a,s,o,l;this.reset(!0),(r=this.sessionManager)==null||r.destroy(),(a=this.pageViewM

62anager)==null||a.destroy(),this.sessionManager=new Bq(this),this.pageViewManager=new Tq(this),this.persistence&&(this.sessionPropsManager=new Fq(this,this.sessionManager,this.persistence));var c,d=(s=(o=this.config.__extensionClasses)==null?void 0:o.sessionRecording)!==null&&s!==void 0?s:(l=Pc.__defaultExtensionClasses)==null?void 0:l.sessionRecording;d&&(this.sessionRecording=this.Mi(this.sessionRecording,new d(this)),this.Qi&&((c=this.sessionRecording)==null||c.onRemoteConfig==null||c.onRemoteConfig(this.Qi)))}var f,p;this.consent.optInOut(!0),this.cn(),this.Ji(),(n=this.sessionRecording)==null||n.startIfEnabledOrStop(),this.config.cookieless_mode==ih&&((f=this.surveys)==null||f.loadIfEnabled()),(qt(e?.captureEventName)||e!=null&&e.captureEventName)&&this.capture((p=e?.captureEventName)!==null&&p!==void 0?p:"$opt_in",e?.captureProperties,{send_instantly:!0}),this.config.capture_pageview&&this.Ki()}else Mt.warn(qq)}opt_out_capturing(){var e,n,r;this.config.cookieless_mode!==t0?(this.config.cookieless_mode===ih&&this.consent.isOptedIn()&&this.reset(!0),this.consent.optInOut(!1),this.cn(),this.config.cookieless_mode===ih&&(this.register({distinct_id:Eb,$device_id:null}),(e=this.sessionManager)==null||e.destroy(),(n=this.pageViewManager)==null||n.destroy(),this.sessionManager=void 0,this.sessionPropsManager=void 0,(r=this.sessionRecording)==null||r.stopRecording(),this.sessionRecording=void 0,this.Ki())):Mt.warn(qq)}has_opted_in_capturing(){return this.consent.isOptedIn()}has_opted_out_capturing(){return this.consent.isOptedOut()}get_explicit_consent_status(){var e=this.consent.consent;return e===1?"granted":e===0?"denied":"pending"}is_capturing(){return this.config.cookieless_mode===t0||(this.config.cookieless_mode===ih?this.consent.isRejected()||this.consent.isOptedIn():!this.has_opted_out_capturing())}clear_opt_in_out_capturing(){this.consent.reset(),this.cn()}_is_bot(){return Yl?uee(Yl,this.config.custom_blocked_useragents):void 0}Ki(){Pt&&(Pt.visibilityState==="visible"?this.Fi||(this.Fi=!0,this.capture(g4,{title:Pt.title},{send_instantly:!0}),this.Ai&&(Pt.removeEventListener(zw,this.Ai),this.Ai=null)):this.Ai||(this.Ai=this.Ki.bind(this),ks(Pt,zw,this.Ai)))}debug(e){e===!1?(Qe?.console.log("You've disabled debug mode."),this.set_config({debug:!1})):(Qe?.console.log("You're now in debug mode. All calls to PostHog will be logged in your console.\nYou can disable this with `posthog.debug(false)`."),this.set_config({debug:!0}))}Lr(){var e,n,r,a,s,o,l=this.qi||{};return"advanced_disable_flags"in l?!!l.advanced_disable_flags:this.config.advanced_disable_flags!==!1?!!this.config.advanced_disable_flags:this.config.advanced_disable_decide===!0?(Mt.warn("Config field 'advanced_disable_decide' is deprecated. Please use 'advanced_disable_flags' instead. The old field will be removed in a future major version."),!0):(r="advanced_disable_decide",a=Mt,s=(n="advanced_disable_flags")in(e=l)&&!fr(e[n]),o=r in e&&!fr(e[r]),s?e[n]:!!o&&(a&&a.warn("Config field '"+r+"' is deprecated. Please use '"+n+"' instead. 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62)).forEach((M=>{var[$,L]=M;return j.attributes[$]=L})),j}))})(g)))},(n=y[0])!=null&&n.$el_text?{$el_text:(r=y[0])==null?void 0:r.$el_text}:{},p&&a.type==="click"?{$external_click_url:p}:{},x)}}var v7=Ma("[ExceptionAutocapture]");function tH(t,e,n){try{if(!(e in t))return()=>{};var r=t[e],a=n(r);return J1(a)&&(a.prototype=a.prototype||{},Object.defineProperties(a,{__posthog_wrapped__:{enumerable:!1,value:!0}})),t[e]=a,()=>{t[e]=r}}catch{return()=>{}}}var uIe=Ma("[TracingHeaders]"),T2=Ma("[Web Vitals]"),nH=9e5,rH="disabled",aH="lazy_loading",y7="awaiting_config",Nb="missing_config";Ma("[SessionRecording]"),Ma("[SessionRecording]");var MN="[SessionRecording]",k2=Ma(MN),dIe=Ma("[Heatmaps]");function sH(t){return ps(t)&&"clientX"in t&&"clientY"in t&&Hc(t.clientX)&&Hc(t.clientY)}var iH=Ma("[Product Tours]"),fIe=["$set_once","$set"],R2=Ma("[SiteApps]"),oH="Error while initializing PostHog app with config id ";function e4(t,e,n){if(fr(t))return!1;switch(n){case"exact":return t===e;case"contains":var r=e.replace(/[.*+?^${}()|[\]\\]/g,"\\$&").replace(/_/g,".").replace(/%/g,".*");return new RegExp(r,"i").test(t);case"regex":try{return new RegExp(e).test(t)}catch{return!1}default:return!1}}class pIe{constructor(e){this.vn=new eM,this.fn=(n,r)=>this.pn(n,r)&&this.gn(n,r)&&this.mn(n,r)&&this.yn(n,r),this.pn=(n,r)=>r==null||!r.event||n?.event===r?.event,this._instance=e,this.bn=new Set,this._n=new Set}init(){var e,n;qt((e=this._instance)==null?void 0:e._addCaptureHook)||(n=this._instance)==null||n._addCaptureHook(((r,a)=>{this.on(r,a)}))}register(e){var n,r;if(!qt((n=this._instance)==null?void 0:n._addCaptureHook)&&(e.forEach((o=>{var l,c;(l=this._n)==null||l.add(o),(c=o.steps)==null||c.forEach((d=>{var f;(f=this.bn)==null||f.add(d?.event||"")}))})),(r=this._instance)!=null&&r.autocapture)){var a,s=new Set;e.forEach((o=>{var l;(l=o.steps)==null||l.forEach((c=>{c!=null&&c.selector&&s.add(c?.selector)}))})),(a=this._instance)==null||a.autocapture.setElementSelectors(s)}}on(e,n){var r;n!=null&&e.length!=0&&(this.bn.has(e)||this.bn.has(n?.event))&&this._n&&((r=this._n)==null?void 0:r.size)>0&&this._n.forEach((a=>{this.wn(n,a)&&this.vn.emit("actionCaptured",a.name)}))}xn(e){this.onAction("actionCaptured",(n=>e(n)))}wn(e,n){if(n?.steps==null)return!1;for(var r of n.steps)if(this.fn(e,r))return!0;return!1}onAction(e,n){return this.vn.on(e,n)}gn(e,n){if(n!=null&&n.url){var r,a=e==null||(r=e.properties)==null?void 0:r.$current_url;if(!a||typeof a!="string"||!e4(a,n.url,n.url_matching||"contains"))return!1}return!0}mn(e,n){return!!this.Sn(e,n)&&!!this.kn(e,n)&&!!this.Cn(e,n)}Sn(e,n){var r;if(n==null||!n.href)return!0;var a=this.In(e);if(a.length>0)return a.some((l=>e4(l.href,n.href,n.href_matching||"exact")));var s,o=(e==null||(r=e.properties)==null?void 0:r.$elements_chain)||"";return!!o&&e4((s=o.match(/(?::|")href="(.*?)"/))?s[1]:"",n.href,n.href_matching||"exact")}kn(e,n){var r;if(n==null||!n.text)return!0;var a=this.In(e);if(a.length>0)return a.some((d=>e4(d.text,n.text,n.text_matching||"exact")||e4(d.$el_text,n.text,n.text_matching||"exact")));var s,o,l,c=(e==null||(r=e.properties)==null?void 0:r.$elements_chain)||"";return!!c&&(s=(function(d){for(var f,p=[],g=/(?::|")text="(.*?)"/g;!fr(f=g.exec(d));)p.includes(f[1])||p.push(f[1]);return p})(c),o=n.text,l=n.text_matching||"exact",s.some((d=>e4(d,o,l))))}Cn(e,n){var r,a;if(n==null||!n.selector)return!0;var s=e==null||(r=e.properties)==null?void 0:r.$element_selectors;if(s!=null&&s.includes(n.selector))return!0;var o=(e==null||(a=e.properties)==null?void 0:a.$elements_chain)||"";if(n.selector_regex&&o)try{return new RegExp(n.selector_regex).test(o)}catch{return!1}return!1}In(e){var n;return(e==null||(n=e.properties)==null?void 0:n.$elements)==null?[]:e?.properties.$elements}yn(e,n){return n==null||!n.properties||n.properties.length===0||fee(n.properties.reduce(((r,a)=>{var s=Ir(a.value)?a.value.map(String):a.value!=null?[String(a.value)]:[];return r[a.key]={values:s,operator:a.operator||"exact"},r}),{}),e?.properties)}}class hIe{constructor(e){this._instance=e,this.Tn=new Map,this.En=new Map,this.Mn=new Map}Pn(e,n){return!!e&&fee(e.propertyFilters,n?.properties)}Rn(e,n){var r=new Map;return e.forEach((a=>{var s;(s=a.conditions)==null||(s=s[n])==null||(s=s.values)==null||s.forEac

62h((o=>{if(o!=null&&o.name){var l=r.get(o.name)||[];l.push(a.id),r.set(o.name,l)}}))})),r}On(e,n,r){var a=(r===f7.Activation?this.Tn:this.En).get(e),s=[];return this.Ln((o=>{s=o.filter((l=>a?.includes(l.id)))})),s.filter((o=>{var l,c=(l=o.conditions)==null||(l=l[r])==null||(l=l.values)==null?void 0:l.find((d=>d.name===e));return this.Pn(c,n)}))}register(e){var n;qt((n=this._instance)==null?void 0:n._addCaptureHook)||(this.Fn(e),this.An(e))}An(e){var n=e.filter((r=>{var a,s;return((a=r.conditions)==null?void 0:a.actions)&&((s=r.conditions)==null||(s=s.actions)==null||(s=s.values)==null?void 0:s.length)>0}));n.length!==0&&(this.Nn==null&&(this.Nn=new pIe(this._instance),this.Nn.init(),this.Nn.xn((r=>{this.onAction(r)}))),n.forEach((r=>{var a,s,o,l,c;r.conditions&&(a=r.conditions)!=null&&a.actions&&(s=r.conditions)!=null&&(s=s.actions)!=null&&s.values&&((o=r.conditions)==null||(o=o.actions)==null||(o=o.values)==null?void 0:o.length)>0&&((l=this.Nn)==null||l.register(r.conditions.actions.values),(c=r.conditions)==null||(c=c.actions)==null||(c=c.values)==null||c.forEach((d=>{if(d&&d.name){var f=this.Mn.get(d.name);f&&f.push(r.id),this.Mn.set(d.name,f||[r.id])}})))})))}Fn(e){var n,r=e.filter((s=>{var o,l;return((o=s.conditions)==null?void 0:o.events)&&((l=s.conditions)==null||(l=l.events)==null||(l=l.values)==null?void 0:l.length)>0})),a=e.filter((s=>{var o,l;return((o=s.conditions)==null?void 0:o.cancelEvents)&&((l=s.conditions)==null||(l=l.cancelEvents)==null||(l=l.values)==null?void 0:l.length)>0}));r.length===0&&a.length===0||((n=this._instance)==null||n._addCaptureHook(((s,o)=>{this.onEvent(s,o)})),this.Tn=this.Rn(e,f7.Activation),this.En=this.Rn(e,f7.Cancellation))}onEvent(e,n){var r,a=this.le(),s=this.$n(),o=this.Dn(),l=((r=this._instance)==null||(r=r.persistence)==null?void 0:r.props[s])||[];if(o===e&&n&&l.length>0){var c,d;a.info("event matched, removing item from activated items",{event:e,eventPayload:n,existingActivatedItems:l});var f=(n==null||(c=n.properties)==null?void 0:c.$survey_id)||(n==null||(d=n.properties)==null?void 0:d.$product_tour_id);if(f){var p=l.indexOf(f);0>p||(l.splice(p,1),this.qn(l))}}else{if(this.En.has(e)){var g=this.On(e,n,f7.Cancellation);g.length>0&&(a.info("cancel event matched, cancelling items",{event:e,itemsToCancel:g.map((x=>x.id))}),g.forEach((x=>{var b=l.indexOf(x.id);0>b||l.splice(b,1),this.jn(x.id)})),this.qn(l))}if(this.Tn.has(e)){a.info("event name matched",{event:e,eventPayload:n,items:this.Tn.get(e)});var y=this.On(e,n,f7.Activation);this.qn(l.concat(y.map((x=>x.id))||[]))}}}onAction(e){var n,r=this.$n(),a=((n=this._instance)==null||(n=n.persistence)==null?void 0:n.props[r])||[];this.Mn.has(e)&&this.qn(a.concat(this.Mn.get(e)||[]))}qn(e){var n=this.le(),r=[...new Set(e)].filter((a=>!this.Hn(a)));n.info("updating activated items",{activatedItems:r}),this.Un(r)}getActivatedIds(){var e,n=this.$n();return((e=this._instance)==null||(e=e.persistence)==null?void 0:e.props[n])||[]}getEventToItemsMap(){return this.Tn}Bn(){return this.Nn}}class mIe extends hIe{constructor(e){super(e)}$n(){return vN}Dn(){return W7.SHOWN}Ln(e){var n;(n=this._instance)==null||n.getSurveys(e)}jn(e){var n;(n=this._instance)==null||n.cancelPendingSurvey(e)}le(){return ra}Un(e){var n;(n=this._instance)==null||(n=n.persistence)==null||n.register({[vN]:e})}Hn(){return!1}getSurveys(){return this.getActivatedIds()}getEventToSurveys(){return this.getEventToItemsMap()}}var $A="SDK is not enabled or survey functionality is not yet loaded",lH="Disabled. Not loading surveys.",gIe=Qe!=null&&Qe.location?Xw(Qe.location.hash,"__posthog")||Xw(location.hash,"state"):null,cH="_postHogToolbarParams",uH=Ma("[Toolbar]"),Io=Ma("[FeatureFlags]"),Yp=Ma("[FeatureFlags]",{debugEnabled:!0}),qA=`" failed. Feature flags didn't load in time.`,dH=t=>{for(var e={},n=0;t.length>n;n++)e[t[n]]=!0;return e},fH=t=>{var e={};for(var[n,r]of Ex(t||{}))r&&(e[n]=r);return e},H1=Ma("[Error tracking]"),pH="Refusing to render web experiment since the viewer is a likely bot",vIe={icontains:(t,e)=>!!Qe&&e.href.toLowerCase().indexOf(t.toLowerCase())>-1,not_icontains:(t,e)=>!!Qe&&e.href.toLowerCase().indexOf(t.toLowerCase())===-1,regex:(t,e)=>!!Qe&&Jw(e.href,t),not_regex:(t,e)=>!!Qe&&!Jw(e.href,t),exact:(t,e)=>e.href===t,is_not:(t,e)=>e.href!==t};class Qi{get qt(){return this._instance.config}constructor(e){var n=this;this.getWebExperimentsAndEvaluateDisplayLogic=function(r){r===void 0&&(r=!1),n.getWebExperiments((a=>{Qi.zn("retrieved web experiments from the server"),n.Vn=new Map,a.forEach((s=>

62{if(s.feature_flag_key){var o;n.Vn&&(Qi.zn("setting flag key ",s.feature_flag_key," to web experiment ",s),(o=n.Vn)==null||o.set(s.feature_flag_key,s));var l=n._instance.getFeatureFlag(s.feature_flag_key);$a(l)&&s.variants[l]&&n.Wn(s.name,l,s.variants[l].transforms)}else if(s.variants)for(var c in s.variants){var d=s.variants[c];Qi.Zn(d)&&n.Wn(s.name,c,d.transforms)}}))}),r)},this._instance=e,this._instance.onFeatureFlags((r=>{this.onFeatureFlags(r)}))}initialize(){}onFeatureFlags(e){if(this._is_bot())Qi.zn(pH);else if(!this.qt.disable_web_experiments){if(fr(this.Vn))return this.Vn=new Map,this.loadIfEnabled(),void this.previewWebExperiment();Qi.zn("applying feature flags",e),e.forEach((n=>{var r;if(this.Vn&&(r=this.Vn)!=null&&r.has(n)){var a,s=this._instance.getFeatureFlag(n),o=(a=this.Vn)==null?void 0:a.get(n);s&&o!=null&&o.variants[s]&&this.Wn(o.name,s,o.variants[s].transforms)}}))}}previewWebExperiment(){var e=Qi.getWindowLocation();if(e!=null&&e.search){var n=Yw(e?.search,"__experiment_id"),r=Yw(e?.search,"__experiment_variant");n&&r&&(Qi.zn("previewing web experiments "+n+" && "+r),this.getWebExperiments((a=>{this.Gn(parseInt(n),r,a)}),!1,!0))}}loadIfEnabled(){this.qt.disable_web_experiments||this.getWebExperimentsAndEvaluateDisplayLogic()}getWebExperiments(e,n,r){if(this.qt.disable_web_experiments&&!r)return e([]);var a=this._instance.get_property("$web_experiments");if(a&&!n)return e(a);this._instance._send_request({url:this._instance.requestRouter.endpointFor("api","/api/web_experiments/?token="+this.qt.token),method:"GET",callback:s=>e(s.statusCode===200&&s.json&&s.json.experiments||[])})}Gn(e,n,r){var a=r.filter((s=>s.id===e));a&&a.length>0&&(Qi.zn("Previewing web experiment ["+a[0].name+"] with variant ["+n+"]"),this.Wn(a[0].name,n,a[0].variants[n].transforms))}static Zn(e){return!fr(e.conditions)&&Qi.Qn(e)&&Qi.Jn(e)}static Qn(e){var n;if(fr(e.conditions)||fr((n=e.conditions)==null?void 0:n.url))return!0;var r,a,s,o=Qi.getWindowLocation();return!!o&&((r=e.conditions)==null||!r.url||vIe[(a=(s=e.conditions)==null?void 0:s.urlMatchType)!==null&&a!==void 0?a:"icontains"](e.conditions.url,o))}

62static getWindowLocation(){return Qe?.location}static Jn(e){var n;if(fr(e.conditions)||fr((n=e.conditions)==null?void 0:n.utm))return!0;var r=KQ();if(r.utm_source){var a,s,o,l,c,d,f,p,g=(a=e.conditions)==null||(a=a.utm)==null||!a.utm_campaign||((s=e.conditions)==null||(s=s.utm)==null?void 0:s.utm_campaign)==r.utm_campaign,y=(o=e.conditions)==null||(o=o.utm)==null||!o.utm_source||((l=e.conditions)==null||(l=l.utm)==null?void 0:l.utm_source)==r.utm_source,x=(c=e.conditions)==null||(c=c.utm)==null||!c.utm_medium||((d=e.conditions)==null||(d=d.utm)==null?void 0:d.utm_medium)==r.utm_medium,b=(f=e.conditions)==null||(f=f.utm)==null||!f.utm_term||((p=e.conditions)==null||(p=p.utm)==null?void 0:p.utm_term)==r.utm_term;return g&&x&&b&&y}return!1}static zn(e){for(var n=arguments.length,r=new Array(n>1?n-1:0),a=1;n>a;a++)r[a-1]=arguments[a];Mt.info("[WebExperiments] "+e,r)}Wn(e,n,r){this._is_bot()?Qi.zn(pH):n!=="control"?r.forEach((a=>{if(a.selector){var s;Qi.zn("applying transform of variant "+n+" for experiment "+e+" ",a);var o=(s=document)==null?void 0:s.querySelectorAll(a.selector);o?.forEach((l=>{var c=l;a.html&&(c.innerHTML=a.html),a.css&&c.setAttribute("style",a.css)}))}})):Qi.zn("Control variants leave the page unmodified.")}_is_bot(){return Yl&&this._instance?uee(Yl,this.qt.custom_blocked_useragents):void 0}}var yc=Ma("[Conversations]"),Xp="Conversations not available yet.",A_={featureFlags:class{constructor(t){this.Kn=!1,this.Yn=!1,this.Xn=!1,this.es=!1,this.ts=!1,this.rs=!1,this.ns=!1,this.ss=!1,this._instance=t,this.featureFlagEventHandlers=[]}get qt(){return this._instance.config}get ni(){return this._instance.persistence}os(t){return this._instance.get_property(t)}us(){var t,e;return(t=(e=this.ni)==null?void 0:e.wr(this.qt.feature_flag_cache_ttl_ms))!==null&&t!==void 0&&t}ls(){return!!this.us()&&(this.ss||this.Xn||(this.ss=!0,Io.warn("Feature flag cache is stale, triggering refresh..."),this.reloadFeatureFlags()),!0)}hs(){var t,e=(t=this.qt.evaluation_contexts)!==null&&t!==void 0?t:this.qt.evaluation_environments;return!this.qt.evaluation_environments||this.qt.evaluation_contexts||this.ns||(Io.warn("evaluation_environments is deprecated. Use evaluation_contexts instead. evaluation_environments will be removed in a future version."),this.ns=!0),e!=null&&e.length?e.filter((n=>{var r=n&&typeof n=="string"&&n.trim().length>0;return r||Io.error("Invalid evaluation context found:",n,"Expected non-empty string"),r})):[]}cs(){return this.hs().length>0}initialize(){var t,e,{config:n}=this._instance,r=(t=(e=n.bootstrap)==null?void 0:e.featureFlags)!==null&&t!==void 0?t:{};if(Object.keys(r).length){var a,s,o=(a=(s=n.bootstrap)==null?void 0:s.featureFlagPayloads)!==null&&a!==void 0?a:{},l=Object.keys(r).filter((d=>!!r[d])).reduce(((d,f)=>(d[f]=r[f]||!1,d)),{}),c=Object.keys(o).filter((d=>l[d])).reduce(((d,f)=>(o[f]&&(d[f]=o[f]),d)),{});this.receivedFeatureFlags({featureFlags:l,featureFlagPayloads:c})}}updateFlags(t,e,n){var r=n!=null&&n.merge?this.getFlagVariants():{},a=n!=null&&n.merge?this.getFlagPayloads():{},s=Ct({},r,t),o=Ct({},a,e),l={};for(var[c,d]of Object.entries(s)){var f=typeof d=="string";l[c]={key:c,enabled:!!f||!!d,variant:f?d:void 0,reason:void 0,metadata:qt(o?.[c])?void 0:{id:0,version:void 0,description:void 0,payload:o[c]}}}this.receivedFeatureFlags({flags:l})}get hasLoadedFlags(){return this.Yn}getFlags(){return Object.keys(this.getFlagVariants())}getFlagsWithDetails(){var t=this.os(pN),e=this.os(W1),n=this.os(m4);if(!n&&!e)return t||{};var r=Xa({},t||{}),a=[...new Set([...Object.keys(n||{}),...Object.keys(e||{})])];for(var s of a){var o,l,c=r[s],d=e?.[s],f=qt(d)?(o=c?.enabled)!==null&&o!==void 0&&o:!!d,p=qt(d)?c.variant:typeof d=="string"?d:void 0,g=n?.[s],y=Ct({},c,{enabled:f,variant:f?p??c?.variant:void 0});f!==c?.enabled&&(y.original_enabled=c?.enabled),p!==c?.variant&&(y.original_variant=c?.variant),g&&(y.metadata=Ct({},c?.metadata,{payload:g,original_payload:c==null||(l=c.metadata)==null?void 0:l.payload})),r[s]=y}return this.Kn||(Io.warn(" Overriding feature flag details!",{flagDetails:t,overriddenPayloads:n,finalDetails:r}),this.Kn=!0),r}getFlagVariants(){var t=this.os(j4),e=this.os(W1);if(!e)return t||{};for(var n=Xa({},t),r=Object.keys(e),a=0;r.length>a;a++)n[r[a]]=e[r[a]];return this.Kn||(Io.warn(" Overriding feature flags!",{enabledFlags:t,overriddenFlags:e,finalFlags:n}),this.Kn=!0),n}getFlagPayloads(){var t=this.os(hN),e=this.os(m4);if(!e)return t||{};for(var n=Xa({},t||{}),r=Object.keys(e),a=0;r.length>a;a++)n[r[a]]=e[r[a]];return this.Kn||(Io.warn(" Overriding feature flag payloads!",{flagPayloads:t,overriddenPayloads:e,finalPayloads:n}),this.Kn=!0),n}reloadFeatureFlags(){this.es||this.qt.advanced_disable_feature_flags||this.ds||(this._instance.Li.emit("featureFlagsReloading",!0),this.ds=setTimeout((()=>{this.vs()}),5))}fs(){clearTimeout(this.ds),this.ds=void 0}ensureFlagsLoaded(){this.Yn||this.Xn||this.ds||this.reloadFeatureFlags()}setAnonymousDistinctId(t){this.$anon_distinct_id=t}setReloadingPaused(t){this.es=t}vs(t){var e;if(this.fs(),!this._instance.Lr())if(this.Xn)this.ts=!0;else{var n=this.qt.token,r=this.os(Bw),a={token:n,distinct_id:this._instance.get_distinct_id(),groups:this._instance.getGroups(),$anon_distinct_id:this.$anon_distinct_id,person_properties:Ct({},((e=this.ni)==null?void 0:e.get_initial_props())||{},this.os(G7)||{}),group_properties:this.os(sh),timezone:nee()};O0(r)||qt(r)||(a.$device_id=r),(t!=null&&t.disableFlags||this.qt.advanced_disable_feature_flags)&&(a.disable_flags=!0),this.cs()&&(a.evaluation_contexts=this.hs());var s=this._instance.requestRouter.endpointFor("flags","/flags/?v=2"+(this.qt.advanced_only_evaluate_survey_feature_flags?"&only_evaluate_survey_feature_flags=true":""));this.Xn=!0,this._instance._send_request({method:"POST",url:s,data:a,compression:this.qt.disable_compression?void 0:Dd.Base64,timeout:this.qt.feature_flag_request_timeout_ms,callback:o=>{var l,c,d,f=!0;if(o.statusCode===200&&(this.ts||(this.$anon_distinct_id=void 0),f=!1),this.Xn=!1,!a.disable_flags||this.ts){this.rs=!f;var p=[];

62o.error?o.error instanceof Error?p.push(o.error.name==="AbortError"?"timeout":"connection_error"):p.push("unknown_error"):o.statusCode!==200&&p.push("api_error_"+o.statusCode),(l=o.json)!=null&&l.errorsWhileComputingFlags&&p.push("errors_while_computing_flags");var g,y=!((c=o.json)==null||(c=c.quotaLimited)==null||!c.includes("feature_flags"));y&&p.push("quota_limited"),(d=this.ni)==null||d.register({[bN]:p}),y?Io.warn("You have hit your feature flags quota limit, and will not be able to load feature flags until the quota is reset.  Please visit https://posthog.com/docs/billing/limits-alerts to learn more."):(a.disable_flags||this.receivedFeatureFlags((g=o.json)!==null&&g!==void 0?g:{},f,{partialResponse:!!this.qt.advanced_only_evaluate_survey_feature_flags}),this.ts&&(this.ts=!1,this.vs()))}}})}}getFeatureFlag(t,e){var n;if(e===void 0&&(e={}),!e.fresh||this.rs)if(this.Yn||this.getFlags()&&this.getFlags().length>0){if(!this.ls()){var r=this.getFeatureFlagResult(t,e);return(n=r?.variant)!==null&&n!==void 0?n:r?.enabled}}else Io.warn('getFeatureFlag for key "'+t+qA)}getFeatureFlagDetails(t){return this.getFlagsWithDetails()[t]}getFeatureFlagPayload(t){var e=this.getFeatureFlagResult(t,{send_event:!1});return e?.payload}getFeatureFlagResult(t,e){if(e===void 0&&(e={}),!e.fresh||this.rs)if(this.Yn||this.getFlags()&&this.getFlags().length>0){if(!this.ls()){var n=this.getFlagVariants(),r=t in n,a=n[t],s=this.getFlagPayloads()[t],o=String(a),l=this.os(mN)||void 0,c=this.os($w)||void 0,d=this.os(S8)||{};if(this.qt.advanced_feature_flags_dedup_per_session){var f,p=this._instance.get_session_id(),g=this.os(yN);p&&p!==g&&(d={},(f=this.ni)==null||f.register({[S8]:d,[yN]:p}))}if((e.send_event||!("send_event"in e))&&(!(t in d)||!d[t].includes(o))){var y,x,b,_,E,A,S,k,I,N;Ir(d[t])?d[t].push(o):d[t]=[o],(y=this.ni)==null||y.register({[S8]:d});var D=this.getFeatureFlagDetails(t),O=[...(x=this.os(bN))!==null&&x!==void 0?x:[]];qt(a)&&O.push("flag_missing");var j={$feature_flag:t,$feature_flag_response:a,$feature_flag_payload:s||null,$feature_flag_request_id:l,$feature_flag_evaluated_at:c,$feature_flag_bootstrapped_response:((b=this.qt.bootstrap)==null||(b=b.featureFlags)==null?void 0:b[t])||null,$feature_flag_bootstrapped_payload:((_=this.qt.bootstrap)==null||(_=_.featureFlagPayloads)==null?void 0:_[t])||null,$used_bootstrap_value:!this.rs};qt(D==null||(E=D.metadata)==null?void 0:E.version)||(j.$feature_flag_version=D.metadata.version);var M,$=(A=D==null||(S=D.reason)==null?void 0:S.description)!==null&&A!==void 0?A:D==null||(k=D.reason)==null?void 0:k.code;$&&(j.$feature_flag_reason=$),D!=null&&(I=D.metadata)!=null&&I.id&&(j.$feature_flag_id=D.metadata.id),qt(D?.original_variant)&&qt(D?.original_enabled)||(j.$feature_flag_original_response=qt(D.original_variant)?D.original_enabled:D.original_variant),D!=null&&(N=D.metadata)!=null&&N.original_payload&&(j.$feature_flag_original_payload=D==null||(M=D.metadata)==null?void 0:M.original_payload),O.length&&(j.$feature_flag_error=O.join(",")),this._instance.capture("$feature_flag_called",j)}if(r){var L=s;

62if(!qt(s))try{L=JSON.parse(s)}catch{}return{key:t,enabled:!!a,variant:typeof a=="string"?a:void 0,payload:L}}}}else Io.warn('getFeatureFlagResult for key "'+t+qA)}getRemoteConfigPayload(t,e){var n=this.qt.token,r={distinct_id:this._instance.get_distinct_id(),token:n};this.cs()&&(r.evaluation_contexts=this.hs()),this._instance._send_request({method:"POST",url:this._instance.requestRouter.endpointFor("flags","/flags/?v=2"),data:r,compression:this.qt.disable_compression?void 0:Dd.Base64,timeout:this.qt.feature_flag_request_timeout_ms,callback(a){var s,o=(s=a.json)==null?void 0:s.featureFlagPayloads;e(o?.[t]||void 0)}})}isFeatureEnabled(t,e){if(e===void 0&&(e={}),!e.fresh||this.rs){if(this.Yn||this.getFlags()&&this.getFlags().length>0){var n=this.getFeatureFlag(t,e);return qt(n)?void 0:!!n}Io.warn('isFeatureEnabled for key "'+t+qA)}}addFeatureFlagsHandler(t){this.featureFlagEventHandlers.push(t)}removeFeatureFlagsHandler(t){this.featureFlagEventHandlers=this.featureFlagEventHandlers.filter((e=>e!==t))}receivedFeatureFlags(t,e,n){if(this.ni){this.Yn=!0;var r=this.getFlagVariants(),a=this.getFlagPayloads(),s=this.getFlagsWithDetails();(function(o,l,c,d,f,p){c===void 0&&(c={}),d===void 0&&(d={}),f===void 0&&(f={});var g=(O=>{var j=O.flags;return j?(O.featureFlags=Object.fromEntries(Object.keys(j).map((M=>{var $;return[M,($=j[M].variant)!==null&&$!==void 0?$:j[M].enabled]}))),O.featureFlagPayloads=Object.fromEntries(Object.keys(j).filter((M=>j[M].enabled)).filter((M=>{var $;return($=j[M].metadata)==null?void 0:$.payload})).map((M=>{var $;return[M,($=j[M].metadata)==null?void 0:$.payload]})))):Io.warn("Using an older version of the feature flags endpoint. Please upgrade your PostHog server to the latest version"),O})(o),y=g.flags,x=g.featureFlags,b=g.featureFlagPayloads;if(x){var _=o.requestId,E=o.evaluatedAt;if(Ir(x)){Io.warn("v1 of the feature flags endpoint is deprecated. Please use the latest version.");var A={};if(x)for(var S=0;x.length>S;S++)A[x[S]]=!0;l&&l.register({[_x]:x,[j4]:A})}else{var k=x,I=b,N=y;if(p!=null&&p.partialResponse)k=Ct({},c,k),I=Ct({},d,I),N=Ct({},f,N);else if(o.errorsWhileComputingFlags)if(y){var D=new Set(Object.keys(y).filter((O=>{var j;return!((j=y[O])!=null&&j.failed)})));k=Ct({},c,Object.fromEntries(Object.entries(k).filter((O=>{var[j]=O;return D.has(j)})))),I=Ct({},d,Object.fromEntries(Object.entries(I||{}).filter((O=>{var[j]=O;return D.has(j)})))),N=Ct({},f,Object.fromEntries(Object.entries(N||{}).filter((O=>{var[j]=O;return D.has(j)}))))}else k=Ct({},c,k),I=Ct({},d,I),N=Ct({},f,N);l&&l.register(Ct({[_x]:Object.keys(fH(k)),[j4]:k||{},[hN]:I||{},[pN]:N||{}},_?{[mN]:_}:{},E?{[$w]:E}:{}))}}})(t,this.ni,r,a,s,n),e||(this.ss=!1),this.ps(e)}}override(t,e){e===void 0&&(e=!1),Io.warn("override is deprecated. Please use overrideFeatureFlags instead."),this.overrideFeatureFlags({flags:t,suppressWarning:e})}overrideFeatureFlags(t){if(!this._instance.__loaded||!this.ni)return Io.uninitializedWarning("posthog.featureFlags.overrideFeatureFlags");if(t===!1)return this.ni.unregister(W1),this.ni.unregister(m4),this.ps(),Yp.info("All overrides cleared");if(Ir(t)){var e=dH(t);return this.ni.register({[W1]:e}),this.ps(),Yp.info("Flag overrides set",{flags:t})}if(t&&typeof t=="object"&&("flags"in t||"payloads"in t)){var n,r=t;if(this.Kn=!!((n=r.suppressWarning)!==null&&n!==void 0&&n),"flags"in r){if(r.flags===!1)this.ni.unregister(W1),Yp.info("Flag overrides cleared");else if(r.flags){if(Ir(r.flags)){var a=dH(r.flags);this.ni.register({[W1]:a})}else this.ni.register({[W1]:r.flags});Yp.info("Flag overrides set",{flags:r.flags})}}return"payloads"in r&&(r.payloads===!1?(this.ni.unregister(m4),Yp.info("Payload overrides cleared")):r.payloads&&(this.ni.register({[m4]:r.payloads}),Yp.info("Payload overrides set",{payloads:r.payloads}))),void this.ps()}if(t&&typeof t=="object")return this.ni.register({[W1]:t}),this.ps(),Yp.info("Flag overrides set",{flags:t});Io.warn("Invalid overrideOptions provided to overrideFeatureFlags",{overrideOptions:t})}onFeatureFlags(t){if(this.addFeatureFlagsHandler(t),this.Yn){var{flags:e,flagVariants:n}=this.gs();t(e,n)}return()=>this.removeFeatureFlagsHandler(t)}updateEarlyAccessFeatureEnrollment(t,e,n){var r,a=(this.os(V7)||[]).find((c=>c.flagKey===t)),s={["$feature_enrollment/"+t]:e},o={$feature_flag:t,$feature_enrollment:e,$set:s};a&&(o.$early_access_feature_name=a.name),n&&(o.$feature_enrollment_stage=n),this._instance.capture("$feature_enrollment_update",o),this.setPersonPropertiesForFlags(s,!1);var l=Ct({},this.getFlagVariants(),{[t]:e});(r=this.ni)==null||r.register({[_x]:Object.keys(fH(l)),[j4]:l}),this.ps()}getEarlyAccessFeatures(t,e,n){e===void 0&&(e=!1);var r=this.os(V7),a=n?"&"+n.map((s=>"stage="+s)).join("&"):"";if(r&&!e)return t(r);this._instance._send_request({url:this._instance.requestRouter.endpointFor("api","/api/early_access_features/?token="+this.qt.token+a),method:"GET",callback:s=>{var o,l;if(s.json){var c=s.json.earlyAccessFeatures;return(o=this.ni)==null||o.unregister(V7),(l=this.ni)==null||l.register({[V7]:c}),t(c)}}})}gs(){var t=this.getFlags(),e=this.getFlagVariants();return{flags:t.filter((n=>e[n])),flagVariants:Object.keys(e).filter((n=>e[n])).reduce(((n,r)=>(n[r]=e[r],n)),{})}}ps(t){var{flags:e,flagVariants:n}=this.gs();

62this.featureFlagEventHandlers.forEach((r=>r(e,n,{errorsLoading:t})))}setPersonPropertiesForFlags(t,e){e===void 0&&(e=!0);var n=this.os(G7)||{},r=t?.$set||(t!=null&&t.$set_once?{}:t),a=t?.$set_once,s={};if(a)for(var o in a)({}).hasOwnProperty.call(a,o)&&(o in n||(s[o]=a[o]));this._instance.register({[G7]:Ct({},n,s,r)}),e&&this._instance.reloadFeatureFlags()}resetPersonPropertiesForFlags(){this._instance.unregister(G7)}setGroupPropertiesForFlags(t,e){e===void 0&&(e=!0);var n=this.os(sh)||{};Object.keys(n).length!==0&&Object.keys(n).forEach((r=>{n[r]=Ct({},n[r],t[r]),delete t[r]})),this._instance.register({[sh]:Ct({},n,t)}),e&&this._instance.reloadFeatureFlags()}resetGroupPropertiesForFlags(t){if(t){var e=this.os(sh)||{};this._instance.register({[sh]:Ct({},e,{[t]:{}})})}else this._instance.unregister(sh)}reset(){this.Yn=!1,this.Xn=!1,this.es=!1,this.ts=!1,this.rs=!1,this.$anon_distinct_id=void 0,this.fs(),this.Kn=!1}}},yIe={sessionRecording:class{get qt(){return this._instance.config}get ni(){return this._instance.persistence}get started(){var t;return!((t=this.ys)==null||!t.isStarted)}get status(){var t,e;return this.bs===y7||this.bs===Nb?this.bs:(t=(e=this.ys)==null?void 0:e.status)!==null&&t!==void 0?t:this.bs}constructor(t){if(this._forceAllowLocalhostNetworkCapture=!1,this.bs=rH,this._s=void 0,this._instance=t,!this._instance.sessionManager)throw k2.error("started without valid sessionManager"),new Error(MN+" started without valid sessionManager. This is a bug.");if(this.qt.cookieless_mode===t0)throw new Error(MN+' cannot be used with cookieless_mode="always"')}initialize(){this.startIfEnabledOrStop()}get ws(){var t,e=!((t=this._instance.get_property(z7))==null||!t.enabled),n=!this.qt.disable_session_recording,r=this.qt.disable_session_recording||this._instance.consent.isOptedOut();return Qe&&e&&n&&!r}startIfEnabledOrStop(t){var e;if(!this.ws||(e=this.ys)==null||!e.isStarted){var n=!qt(Object.assign)&&!qt(Array.from);this.ws&&n?(this.xs(t),k2.info("starting")):(this.bs=rH,this.stopRecording())}}xs(t){var e,n,r;this.ws&&(this.bs!==y7&&this.bs!==Nb&&(this.bs=aH),un!=null&&(e=un.__PosthogExtensions__)!=null&&(e=e.rrweb)!=null&&e.record&&(n=un.__PosthogExtensions__)!=null&&n.initSessionRecording?this.Ss(t):(r=un.__PosthogExtensions__)==null||r.loadExternalDependency==null||r.loadExternalDependency(this._instance,this.ks,(a=>{if(a)return k2.error("could not load recorder",a);this.Ss(t)})))}stopRecording(){var t,e;(t=this._s)==null||t.call(this),this._s=void 0,(e=this.ys)==null||e.stop()}Cs(){var t,e;(t=this._s)==null||t.call(this),this._s=void 0,(e=this.ys)==null||e.discard()}Is(){var t;(t=this.ni)==null||t.unregister(XO)}Ts(t,e){if(fr(t))return null;var n,r=Hc(t)?t:parseFloat(t);return typeof(n=r)!="number"||!Number.isFinite(n)||0>n||n>1?(k2.warn(e+" must be between 0 and 1. Ignoring invalid value:",t),null):r}Es(t){if(this.ni){var e,n,r=this.ni,a=()=>{var s,o=t.sessionRecording===!1?void 0:t.sessionRecording,l=this.Ts((s=this.qt.session_recording)==null?void 0:s.sampleRate,"session_recording.sampleRate"),c=this.Ts(o?.sampleRate,"remote config sampleRate"),d=l??c;fr(d)&&this.Is();var f=o?.minimumDurationMilliseconds;r.register({[z7]:Ct({cache_timestamp:Date.now(),enabled:!!o},o,{networkPayloadCapture:Ct({capturePerformance:t.capturePerformance},o?.networkPayloadCapture),canvasRecording:{enabled:o?.recordCanvas,fps:o?.canvasFps,quality:o?.canvasQuality},sampleRate:d,minimumDurationMilliseconds:qt(f)?null:f,endpoint:o?.endpoint,triggerMatchType:o?.triggerMatchType,masking:o?.masking,urlTriggers:o?.urlTriggers,version:o?.version,triggerGroups:o?.triggerGroups})})};a(),(e=this._s)==null||e.call(this),this._s=(n=this._instance.sessionManager)==null?void 0:n.onSessionId(a)}}onRemoteConfig(t){return"sessionRecording"in t?t.sessionRecording===!1?(this.Es(t),void this.Cs()):(this.Es(t),void this.startIfEnabledOrStop()):(this.bs===y7&&(this.bs=Nb,k2.warn("config refresh failed, recording will not start until page reload")),void this.startIfEnabledOrStop())}log(t,e){var n;e===void 0&&(e="log"),(n=this.ys)!=null&&n.log?this.ys.log(t,e):k2.warn("log called before recorder was ready")}get ks(){var t,e,n=(t=this._instance)==null||(t=t.persistence)==null?void 0:t.get_property(z7);return(n==null||(e=n.scriptConfig)==null?void 0:e.script)||"lazy-recorder"}Ms(){var t,e=this._instance.get_property(z7);if(!e)return!1;var n=(t=(typeof e=="object"?e:JSON.parse(e)).cache_timestamp)!==null&&t!==void 0?t:Date.now();return 36e5>=Date.now()-n}Ss(t){var e,n;if((e=un.__PosthogExtensions__)==null||!e.initSessionRecording)return k2.warn("Called on script loaded before session recording is available. This can be caused by adblockers."),void this._instance.register_for_session({[VQ]:!0});if(this.ys||(this.ys=(n=un.__PosthogExtensions__)==null?void 0:n.initSessionRecording(this._instance),this.ys._forceAllowLocalhostNetworkCapture=this._forceAllowLocalhostNetworkCapture),!this.Ms())return this.bs===Nb||this.bs===y7?void 0:(this.bs=y7,k2.info("persisted remote config is stale, requesting fresh config before starting"),void new ree(this._instance).load());this.bs=aH,this.ys.start(t)}onRRwebEmit(t){var e;(e=this.ys)==null||e.onRRwebEmit==null||e.onRRwebEmit(t)}overrideLinkedFlag(){var t,e;this.ys||(e=this.ni)==null||e.register({[BQ]:!0}),(t=this.ys)==null||t.overrideLinkedFlag()}overrideSampling(){var t,e;this.ys||(e=this.ni)==null||e.register({[FQ]:!0}),(t=this.ys)==null||t.overrideSampling()}overrideTrigger(t){var e,n;this.ys||(n=this.ni)==null||n.register({[t==="url"?UQ:$Q]:!0}),(e=this.ys)==null||e.overrideTrigger(t)}get sdkDebugProperties(){var t;return((t=this.ys)==null?void 0:t.sdkDebugProperties)||{$recording_status:this.status}}tryAddCustomEvent(t,e){var n;return!((n=this.ys)==null||!n.tryAddCustomEvent(t,e))}}},bIe={autocapture:class{constructor(t){this.Ps=!1,this.Rs=null,this.Os=!1,this.instance=t,this.rageclicks=new eH(t.config.rageclick),this.Ls=null}initialize(){this.startIfEnabled()}get qt(){var t,e,n=ps(this.instance.config.autocapture)?this.instance.config.autocapture:{};return n.url_allowlist=(t=n.url_allowlist)==null?void 0:t.map((r=>new RegExp(r))),n.url_ignorelist=(e=n.url_ignorelist)==null?void 0:e.map((r=>new RegExp(r))),n}

62Fs(){if(this.isBrowserSupported()){if(Qe&&Pt){var t=n=>{n=n||Qe?.event;try{this.As(n)}catch(r){BA.error("Failed to capture event",r)}};if(ks(Pt,"submit",t,{capture:!0}),ks(Pt,"change",t,{capture:!0}),ks(Pt,"click",t,{capture:!0}),this.qt.capture_copied_text){var e=n=>{n=n||Qe?.event;try{this.As(n,FA)}catch(r){BA.error("Failed to capture copy/cut event",r)}};ks(Pt,"copy",e,{capture:!0}),ks(Pt,"cut",e,{capture:!0})}}}else BA.info("Disabling Automatic Event Collection because this browser is not supported")}startIfEnabled(){this.isEnabled&&!this.Ps&&(this.Fs(),this.Ps=!0)}onRemoteConfig(t){t.elementsChainAsString&&(this.Os=t.elementsChainAsString),this.instance.persistence&&this.instance.persistence.register({[sN]:!!t.autocapture_opt_out}),this.Rs=!!t.autocapture_opt_out,this.startIfEnabled()}setElementSelectors(t){this.Ls=t}getElementSelectors(t){var e,n=[];return(e=this.Ls)==null||e.forEach((r=>{var a=Pt?.querySelectorAll(r);a?.forEach((s=>{t===s&&n.push(r)}))})),n}get isEnabled(){var t,e,n=(t=this.instance.persistence)==null?void 0:t.props[sN];if(O0(this.Rs)&&!Fd(n)&&!this.instance.Lr())return!1;var r=(e=this.Rs)!==null&&e!==void 0?e:!!n;return!!this.instance.config.autocapture&&!r}As(t,e){if(e===void 0&&(e="$autocapture"),this.isEnabled){var n,r=Yq(t);mee(r)&&(r=r.parentNode||null),e==="$autocapture"&&t.type==="click"&&t instanceof MouseEvent&&this.instance.config.rageclick&&(n=this.rageclicks)!=null&&n.isRageClick(t.clientX,t.clientY,t.timeStamp||new Date().getTime())&&(function(p,g){if(!Qe||PN(p))return!1;var y,x,b;if(Fd(g)?(y=!!g&&Kq,x=void 0):(y=(b=g?.css_selector_ignorelist)!==null&&b!==void 0?b:Kq,x=g?.content_ignorelist),y===!1)return!1;var{targetElementList:_}=Zq(p,!1);return!(function(E,A){if(E===!1||qt(E))return!1;var S;if(E===!0)S=nIe;else{if(!Ir(E))return!1;if(E.length>10)return Mt.error("[PostHog] content_ignorelist array cannot exceed 10 items. Use css_selector_ignorelist for more complex matching."),!1;S=E.map((k=>k.toLowerCase()))}return A.some((k=>{var{safeText:I,ariaLabel:N}=k;return S.some((D=>I.includes(D)||N.includes(D)))}))})(x,_.map((E=>{var A;return{safeText:wv(E).toLowerCase(),ariaLabel:((A=E.getAttribute("aria-label"))==null?void 0:A.toLowerCase().trim())||""}})))&&!Xq(_,y)})(r,this.instance.config.rageclick)&&this.As(t,"$rageclick");var a=e===FA;if(r&&(function(p,g,y,x,b){var _,E,A,S;if(y===void 0&&(y=void 0),!Qe||PN(p)||(_=y)!=null&&_.url_allowlist&&!Wq(y.url_allowlist)||(E=y)!=null&&E.url_ignorelist&&Wq(y.url_ignorelist))return!1;if((A=y)!=null&&A.dom_event_allowlist){var k=y.dom_event_allowlist;if(k&&!k.some((j=>g.type===j)))return!1}var{parentIsUsefulElement:I,targetElementList:N}=Zq(p,x);if(!(function(j,M){var $=M?.element_allowlist;if(qt($))return!0;var L,z=function(J){if($.some((X=>J.tagName.toLowerCase()===X)))return{v:!0}};for(var H of j)if(L=z(H))return L.v;return!1})(N,y)||!Xq(N,(S=y)==null?void 0:S.css_selector_allowlist))return!1;var D=Qe.getComputedStyle(p);if(D&&D.getPropertyValue("cursor")==="pointer"&&g.type==="click")return!0;var O=p.tagName.toLowerCase();switch(O){case"html":return!1;case"form":return(b||["submit"]).indexOf(g.type)>=0;case"input":case"select":case"textarea":return(b||["change","click"]).indexOf(g.type)>=0;default:return I?(b||["click"]).indexOf(g.type)>=0:(b||["click"]).indexOf(g.type)>=0&&(nM.indexOf(O)>-1||p.getAttribute("contenteditable")==="true")}})(r,t,this.qt,a,a?["copy","cut"]:void 0)){var{props:s,explicitNoCapture:o}=cIe(r,{e:t,maskAllElementAttributes:this.instance.config.mask_all_element_attributes,maskAllText:this.instance.config.mask_all_text,elementAttributeIgnoreList:this.qt.element_attribute_ignorelist,elementsChainAsString:this.Os});if(o)return!1;var l=this.getElementSelectors(r);if(l&&l.length>0&&(s.$element_selectors=l),e===FA){var c,d=vee(Qe==null||(c=Qe.getSelection())==null?void 0:c.toString()),f=t.type||"clipboard";if(!d)return!1;s.$selected_content=d,s.$copy_type=f}return this.instance.capture(e,s),!0}}}isBrowserSupported(){return J1(Pt?.querySelectorAll)}},historyAutocapture:class{constructor(t){var e;this._instance=t,this.Ns=(Qe==null||(e=Qe.location)==null?void 0:e.pathname)||""}initialize(){this.startIfEnabled()}get isEnabled(){return this._instance.config.capture_pageview==="history_change"}startIfEnabled(){this.isEnabled&&(Mt.info("History API monitoring enabled, starting..."),this.monitorHistoryChanges())}stop(){this.$s&&this.$s(),this.$s=void 0,Mt.info("History API monitoring stopped")}monitorHistoryChanges(){var t,e;if(Qe&&Qe.history){var n=this;(t=Qe.history.pushState)!=null&&t.__posthog_wrapped__||tH(Qe.history,"pushState",(r=>function(a,s,o){r.call(this,a,s,o),n.Ds("pushState")})),(e=Qe.history.replaceState)!=null&&e.__posthog_wrapped__||tH(Qe.history,"replaceState",(r=>function(a,s,o){r.call(this,a,s,o),n.Ds("replaceState")})),this.qs()}}Ds(t){try{var e,n=Qe==null||(e=Qe.location)==null?void 0:e.pathname;if(!n)return;n!==this.Ns&&this.isEnabled&&this._instance.capture(g4,{navigation_type:t}),this.Ns=n}catch(r){Mt.error("Error capturing "+t+" pageview",r)}}qs(){if(!this.$s){var t=()=>{this.Ds("popstate")};ks(Qe,"popstate",t),this.$s=()=>{Qe&&Qe.removeEventListener("popstate",t)}}}},heatmaps:class{get qt(){return this.instance.config}constructor(t){var e;this.js=!1,this.Ps=!1,this.Hs=null,this.instance=t,this.js=!((e=this.instance.persistence)==null||!e.props[iN]),this.rageclicks=new eH(t.config.rageclick)}initialize(){this.startIfEnabled()}get flushIntervalMilliseconds(){var t=5e3;return ps(this.qt.capture_heatmaps)&&this.qt.capture_heatmaps.flush_interval_milliseconds&&(t=this.qt.capture_heatmaps.flush_interval_milliseconds),t}get isEnabled(){return fr(this.qt.capture_heatmaps)?fr(this.qt.enable_heatmaps)?this.js:this.qt.enable_heatmaps:this.qt.capture_heatmaps!==!1}startIfEnabled(){if(this.isEnabled){if(this.Ps)return;dIe.info("starting..."),this.Us(),this.At()}else{var t;clearInterval((t=this.Hs)!==null&&t!==void 0?t:void 0),this.Bs(),this.getAndClearBuffer()}}onRemoteConfig(t){if("heatmaps"in t){var e=!!t.heatmaps;this.instance.persistence&&this.instance.persistence.register({[iN]:e}),this.js=e,this.startIfEnabled()}}getAndClearBuffer(){var t=this.M;return this.M=void 0,t}zs(t){this.Mt(t.originalEvent,"deadclick")}At(){this.Hs&&clearInterval(this.Hs),this.Hs=Pt?.visibilityState==="visible"?setInterval(this.Zr.bind(this),this.flushIntervalMilliseconds):null}Us(){Qe&&Pt&&(this.Vs=this.Zr.bind(this),ks(Qe,Vw,this.Vs),this.Ws=t=>this.Mt(t||Qe?.event),ks(Pt,"click",this.Ws,{capture:!0}),this.Zs=t=>this.Gs(t||Qe?.event),ks(Pt,"mousemove",this.Zs,{capture:!0}),this.Qs=new Aq(this.instance,wEe,this.zs.bind(this)),this.Qs.startIfEnabledOrStop(),this.Js=this.At.bind(this),ks(Pt,zw,this.Js),this.Ps=!0)}Bs(){var t;Qe&&Pt&&(this.Vs&&Qe.removeEventListener(Vw,this.Vs),this.Ws&&Pt.removeEventListener("click",this.Ws,{capture:!0}),this.Zs&&Pt.removeEventListener("mousemove",this.Zs,{capture:!0}),this.Js&&Pt.removeEventListener(zw,this.Js),clearTimeout(this.Ks),(t=this.Qs)==null||t.stop(),this.Ps=!1)}Ys(t,e){var n=this.instance.scrollManager.scrollY(),r=this.instance.scrollManager.scrollX(),a=this.instance.scrollManager.scrollElement(),s=(function(o,l,c){for(var d=o;d&&r3(d)&&!ku(d,"body");){if(d===c)return!1;if(dr(l,Qe?.getComputedStyle(d).position))return!0;d=yee(d)}return!1})(Yq(t),["fixed","sticky"],a);return{x:t.clientX+(s?0:r),y:t.clientY+(s?0:n),target_fixed:s,type:e}}Mt(t,e){var n;if(e===void 0&&(e="click"),!Gq(t.target)&&sH(t)){var r=this.Ys(t,e);(n=this.rageclicks)!=null&&n.isRageClick(t.clientX,t.clientY,new Date().getTime())&&this.Xs(Ct({},r,{type:"rageclick"})),this.Xs(r)}}Gs(t){!Gq(t.target)&&sH(t)&&(clearTimeout(this.Ks),this.Ks=setTimeout((()=>{this.Xs(this.Ys(t,"mousemove"))}),500))}Xs(t){if(Qe){var e=Qe.location.href,n=this.qt.custom_personal_data_properties,r=this.qt.mask_personal_data_properties?[...J5,...n||[]]:[],a=bv(e,r,xv);this.M=this.M||{},this.M[a]||(this.M[a]=[]),this.M[a].push(t)}}Zr(){this.M&&!L4(this.M)&&this.instance.capture("$$heatmap",{$heatmap_data:this.getAndClearBuffer()})}},deadClicksAutocapture:Aq,webVitalsAutocapture:class{constructor(t){var e;this.js=!1,this.Ps=!1,this.M={url:void 0,metrics:[],firstMetricTimestamp:void 0},this.eo=()=>{clearTimeout(this.ro),this.M.metrics.length!==0&&(this._instance.capture("$web_vitals",this.M.metrics.reduce(((n,r)=>Ct({},n,{["$web_vitals_"+r.name+"_event"]:Ct({},r),["$web_vitals_"+r.name+"_value"]:r.value})),{})),this.M={url:void 0,metrics:[],firstMetricTimestamp:void 0})},this.ht=n=>{var r,a=(r=this._instance.sessionManager)==null?void 0:r.checkAndGetSessionAndWindowId(!0);if(qt(a))T2.error("Could not read session ID. Dropping metrics!");else{this.M=this.M||{url:void 0,metrics:[],firstMetricTimestamp:void 0};var s=this.io();qt(s)||(fr(n?.name)||fr(n?.value)?T2.error("Invalid metric received",n):!this.no||this.no>n.value?(this.M.url!==s&&(this.eo(),this.ro=setTimeout(this.eo,this.flushToCaptureTimeoutMs)),qt(this.M.url)&&(this.M.url=s),this.M.firstMetricTimestamp=qt(this.M.firstMetricTimestamp)?Date.now():this.M.firstMetricTimestamp,n.attribution&&n.attribution.interactionTargetElement&&(n.attribution.interactionTargetElement=void 0),this.M.metrics.push(Ct({},n,{$current_url:s,$session_id:a.sessionId,$window_id:a.windowId,timestamp:Date.now()})),this.M.metrics.length===this.allowedMetrics.length&&this.eo()):T2.error("Ignoring metric with value >= "+this.no,n))}},this.so=()=>

62{if(!this.Ps){var n,r,a,s,o=un.__PosthogExtensions__;qt(o)||qt(o.postHogWebVitalsCallbacks)||({onLCP:n,onCLS:r,onFCP:a,onINP:s}=o.postHogWebVitalsCallbacks),n&&r&&a&&s?(this.allowedMetrics.indexOf("LCP")>-1&&n(this.ht.bind(this)),this.allowedMetrics.indexOf("CLS")>-1&&r(this.ht.bind(this)),this.allowedMetrics.indexOf("FCP")>-1&&a(this.ht.bind(this)),this.allowedMetrics.indexOf("INP")>-1&&s(this.ht.bind(this)),this.Ps=!0):T2.error("web vitals callbacks not loaded - not starting")}},this._instance=t,this.js=!((e=this._instance.persistence)==null||!e.props[uN]),this.startIfEnabled()}get oo(){return this._instance.config.capture_performance}get allowedMetrics(){var t,e,n=ps(this.oo)?(t=this.oo)==null?void 0:t.web_vitals_allowed_metrics:void 0;return fr(n)?((e=this._instance.persistence)==null?void 0:e.props[fN])||["CLS","FCP","INP","LCP"]:n}get flushToCaptureTimeoutMs(){return(ps(this.oo)?this.oo.web_vitals_delayed_flush_ms:void 0)||5e3}get useAttribution(){var t=ps(this.oo)?this.oo.web_vitals_attribution:void 0;return t!=null&&t}get no(){var t=ps(this.oo)&&Hc(this.oo.__web_vitals_max_value)?this.oo.__web_vitals_max_value:nH;return t>0&&6e4>=t?nH:t}get isEnabled(){var t=Ri?.protocol;if(t!=="http:"&&t!=="https:")return T2.info("Web Vitals are disabled on non-http/https protocols"),!1;var e=ps(this.oo)?this.oo.web_vitals:Fd(this.oo)?this.oo:void 0;return Fd(e)?e:this.js}startIfEnabled(){this.isEnabled&&!this.Ps&&(T2.info("enabled, starting..."),this.lr(this.so))}onRemoteConfig(t){if("capturePerformance"in t){var e=ps(t.capturePerformance)&&!!t.capturePerformance.web_vitals,n=ps(t.capturePerformance)?t.capturePerformance.web_vitals_allowed_metrics:void 0;this._instance.persistence&&(this._instance.persistence.register({[uN]:e}),this._instance.persistence.register({[fN]:n})),this.js=e,this.startIfEnabled()}}lr(t){var e,n;(e=un.__PosthogExtensions__)!=null&&e.postHogWebVitalsCallbacks?t():(n=un.__PosthogExtensions__)==null||n.loadExternalDependency==null||n.loadExternalDependency(this._instance,this.useAttribution?"web-vitals-with-attribution":"web-vitals",(r=>{r?T2.error("failed to load script",r):t()}))}io(){var t=Qe?Qe.location.href:void 0;if(t){var e=this._instance.config.custom_personal_data_properties,n=this._instance.config.mask_personal_data_properties?[...J5,...e||[]]:[];return bv(t,n,xv)}T2.error("Could not determine current URL")}}},xIe={exceptionObserver:class{constructor(t){var e,n,r;this.so=()=>{var a;if(Qe&&this.isEnabled&&(a=un.__PosthogExtensions__)!=null&&a.errorWrappingFunctions){var s=un.__PosthogExtensions__.errorWrappingFunctions.wrapOnError,o=un.__PosthogExtensions__.errorWrappingFunctions.wrapUnhandledRejection,l=un.__PosthogExtensions__.errorWrappingFunctions.wrapConsoleError;try{!this.ao&&this.qt.capture_unhandled_errors&&(this.ao=s(this.captureException.bind(this))),!this.uo&&this.qt.capture_unhandled_rejections&&(this.uo=o(this.captureException.bind(this))),!this.lo&&this.qt.capture_console_errors&&(this.lo=l(this.captureException.bind(this)))}catch(c){v7.error("failed to start",c),this.ho()}}},this._instance=t,this.co=!((e=this._instance.persistence)==null||!e.props[oN]),this.do=new RSe({refillRate:(n=this._instance.config.error_tracking.__exceptionRateLimiterRefillRate)!==null&&n!==void 0?n:1,bucketSize:(r=this._instance.config.error_tracking.__exceptionRateLimiterBucketSize)!==null&&r!==void 0?r:10,refillInterval:1e4,Gt:v7}),this.qt=this.vo(),this.startIfEnabledOrStop()}vo(){var t=this._instance.config.capture_exceptions,e={capture_unhandled_errors:!1,capture_unhandled_rejections:!1,capture_console_errors:!1};return ps(t)?e=Ct({},e,t):(qt(t)?this.co:t)&&(e=Ct({},e,{capture_unhandled_errors:!0,capture_unhandled_rejections:!0})),e}get isEnabled(){return this.qt.capture_console_errors||this.qt.capture_unhandled_errors||this.qt.capture_unhandled_rejections}startIfEnabledOrStop(){this.isEnabled?(v7.info("enabled"),this.ho(),this.lr(this.so)):this.ho()}lr(t){var e,n;(e=un.__PosthogExtensions__)!=null&&e.errorWrappingFunctions&&t(),(n=un.__PosthogExtensions__)==null||n.loadExternalDependency==null||n.loadExternalDependency(this._instance,"exception-autocapture",(r=>{if(r)return v7.error("failed to load script",r);t()}))}ho(){var t,e,n;(t=this.ao)==null||t.call(this),this.ao=void 0,(e=this.uo)==null||e.call(this),this.uo=void 0,(n=this.lo)==null||n.call(this),this.lo=void 0}onRemoteConfig(t){"autocaptureExceptions"in t&&(this.co=!!t.autocaptureExceptions||!1,this._instance.persistence&&this._instance.persistence.register({[oN]:this.co}),this.qt=this.vo(),this.startIfEnabledOrStop())}onConfigChange(){this.qt=this.vo()}captureException(t){var e,n,r,a=(e=t==null||(n=t.$exception_list)==null||(n=n[0])==null?void 0:n.type)!==null&&e!==void 0?e:"Exception";this.do.consumeRateLimit(a)?v7.info("Skipping exception capture because of client rate limiting.",{exception:a}):(r=this._instance.exceptions)==null||r.sendExceptionEvent(t)}},exceptions:class{constructor(t){var e,n;this.fo=[],this.po=new HSe([new ZSe,new iEe,new QSe,new JSe,new aEe,new rEe,new tEe,new sEe],(function(r){for(var a=arguments.length,s=new Array(a>1?a-1:0),o=1;a>o;o++)s[o-1]=arguments[o];return function(l,c){c===void 0&&(c=0);for(var d=[],f=l.split(`
63`),p=c;f.length>p;p++){var g=f[p];if(1024>=g.length){var y=_q.test(g)?g.replace(_q,"$1"):g;if(!y.match(/\S*Error: /)){for(var x of s){var b=x(y,r);if(b){d.push(b);break}}if(d.length>=50)break}}}return(function(_){if(!_.length)return[];var E=Array.from(_);return E.reverse(),E.slice(0,50).map((A=>{return Ct({},A,{filename:A.filename||(S=E,S[S.length-1]||{}).filename,function:A.function||Z5});var S}))})(d)}})("web:javascript",WSe,KSe)),this._instance=t,this.fo=(e=(n=this._instance.persistence)==null?void 0:n.get_property(lN))!==null&&e!==void 0?e:[],this.mo=Fw(this.yo()),this.bo=new lEe(this.mo)}onConfigChange(){this.mo=Fw(this.yo()),this.bo.setConfig(this.mo)}onRemoteConfig(t){var e,n,r;if("errorTracking"in t){var a=(e=(n=t.errorTracking)==null?void 0:n.suppressionRules)!==null&&e!==void 0?e:[],s=(r=t.errorTracking)==null?void 0:r.captureExtensionExceptions;this.fo=a,this._instance.persistence&&this._instance.persistence.register({[lN]:this.fo,[cN]:s})}}get _o(){var t,e=!!this._instance.get_property(cN),n=this._instance.config.error_tracking.captureExtensionExceptions;return(t=n??e)!==null&&t!==void 0&&t}buildProperties(t,e){return this.po.buildFromUnknown(t,{syntheticException:e?.syntheticException,mechanism:{handled:e?.handled}})}addExceptionStep(t,e){if(this.mo.enabled)try{if(!$a(t)||t.trim().length===0)return void H1.warn("Ignoring exception step because message must be a non-empty string");var n=this.wo(e),{sanitizedProperties:r,droppedKeys:a}=(function(s){if(!s)return{sanitizedProperties:{},droppedKeys:[]};var o=[];return{sanitizedProperties:Object.keys(s).reduce(((l,c)=>oEe.has(c)?(o.push(c),l):(l[c]=s[c],l)),{}),droppedKeys:o}})(n);a.length>0&&H1.warn("Ignoring reserved exception step fields",{droppedKeys:a}),this.bo.add(Ct({[Lw]:t,[jw]:new Date().toISOString()},r))}catch(s){H1.error("Failed to add exception step. Ignoring breadcrumb.",s)}}sendExceptionEvent(t){try{var e=t.$exception_list;if(this.xo(e)){if(this.So(e))return this.ko("Exception dropped: matched a suppression rule"),void H1.info("Skipping exception capture because a suppression rule matched");if(!this._o&&this.Co(e))return this.ko("Exception dropped: thrown by a browser extension"),void H1.info("Skipping exception capture because it was thrown by an extension");if(!this._instance.config.error_tracking.__capturePostHogExceptions&&this.Io(e))return this.ko("Exception dropped: thrown by the PostHog SDK"),void H1.info("Skipping exception capture because it was thrown by the PostHog SDK")}var n=this.mo.enabled&&fr(t.$exception_steps)?this.To(t):t;try{var r=this._instance.capture("$exception",n,{_noTruncate:!0,_batchKey:"exceptionEvent",en:!0});return r&&this.bo.clear(),r}catch(a){return H1.error("Failed to capture exception event. Dropping this exception.",a),void this.bo.clear()}}catch(a){return void H1.error("Failed to process exception event. Ignoring this exception.",a)}}To(t){try{var e=this.bo.getAttachable();return e.length===0?t:Ct({},t,{$exception_steps:e})}catch(n){return H1.error("Failed to read buffered exception steps. Capturing exception without steps.",n),t}}ko(t){this.mo.enabled&&this.bo.add({[Lw]:t,[jw]:new Date().toISOString()})}wo(t){return ps(t)?Ct({},t):{}}yo(){var t,e;return(t=(e=this._instance.config.error_tracking)==null?void 0:e.exception_steps)!==null&&t!==void 0?t:{}}So(t){if(t.length===0)return!1;var e=t.reduce(((n,r)=>{var{type:a,value:s}=r;return $a(a)&&a.length>0&&n.$exception_types.push(a),$a(s)&&s.length>0&&n.$exception_values.push(s),n}),{$exception_types:[],$exception_values:[]});return this.fo.some((n=>{var r=n.values.map((a=>{var s,o=dee[a.operator],l=Ir(a.value)?a.value:[a.value],c=(s=e[a.key])!==null&&s!==void 0?s:[];return l.length>0&&o(l,c)}));return n.type==="OR"?r.some(Boolean):r.every(Boolean)}))}Co(t){return t.flatMap((e=>{var n,r;return(n=(r=e.stacktrace)==null?void 0:r.frames)!==null&&n!==void 0?n:[]})).some((e=>e.filename&&e.filename.startsWith("chrome-extension://")))}Io(t){if(t.length>0){var e,n,r,a,s=(e=(n=t[0].stacktrace)==null?void 0:n.frames)!==null&&e!==void 0?e:[],o=s[s.length-1];return(r=o==null||(a=o.filename)==null?void 0:a.includes("posthog.com/static"))!==null&&r!==void 0&&r}return!1}xo(t){return!fr(t)&&Ir(t)}}},wIe=Ct({productTours:class{get ni(){return this._instance.persistence}constructor(t){this.Eo=null,this.Mo=null,this._instance=t}initialize(){this.loadIfEnabled()}onRemoteConfig(t){"productTours"in t&&(this.ni&&this.ni.register({[dN]:!!t.productTours}),this.loadIfEnabled())}loadIfEnabled(){var t,e;this.Eo||(t=this._instance).config.disable_product_tours||(e=t.persistence)==null||!e.get_property(dN)||this.lr((()=>this.Po()))}lr(t){var e,n;(e=un.__PosthogExtensions__)!=null&&e.generateProductTours?t():(n=un.__PosthogExtensions__)==null||n.loadExternalDependency==null||n.loadExternalDependency(this._instance,"product-tours",(r=>{r?iH.error("Could not load product tours script",r):t()}))}Po(){var t;!this.Eo&&(t=un.__PosthogExtensions__)!=null&&t.generateProductTours&&(this.Eo=un.__PosthogExtensions__.generateProductTours(this._instance,!0))}getProductTours(t,e){if(e===void 0&&(e=!1),!Ir(this.Mo)||e){var n=this.ni;if(n){var r=n.props[Sx];if(Ir(r)&&!e)return this.Mo=r,void t(r,{isLoaded:!0})}this._instance._send_request({url:this._instance.requestRouter.endpointFor("api","/api/product_tours/?token="+this._instance.config.token),method:"GET",callback:a=>{var s=a.statusCode;if(s!==200||!a.json){var o="Product Tours API could not be loaded, status: "+s;return iH.error(o),void t([],{isLoaded:!1,error:o})}var l=Ir(a.json.product_tours)?a.json.product_tours:[];this.Mo=l,n&&n.register({[Sx]:l}),t(l,{isLoaded:!0})}})}else t(this.Mo,{isLoaded:!0})}getActiveProductTours(t){fr(this.Eo)?t([],{isLoaded:!1,error:"Product tours not loaded"}):this.Eo.getActiveProductTours(t)}showProductTour(t){var e;(e=this.Eo)==null||e.showTourById(t)}previewTour(t){this.Eo?this.Eo.previewTour(t):this.lr((()=>{var e;this.Po(),(e=this.Eo)==null||e.previewTour(t)}))}dismissProductTour(){var t;(t=this.Eo)==null||t.dismissTour("user_clicked_skip")}nextStep(){var t;(t=this.Eo)==null||t.nextStep()}previousStep(){var t;(t=this.Eo)==null||t.previousStep()}clearCache(){var t;this.Mo=null,(t=this.ni)==null||t.unregister(Sx)}resetTour(t){var e;(e=this.Eo)==null||e.resetTour(t)}resetAllTours(){var t;(t=this.Eo)==null||t.resetAllTours()}cancelPendingTour(t){var e;(e=this.Eo)==null||e.cancelPendingTour(t)}}},A_),CIe={siteApps:class{constructor(t){this._instance=t,this.Ro=[],this.apps={}}get isEnabled(){return!!this._instance.config.opt_in_site_apps}Oo(t,e){if(e){var n=this.globalsForEvent(e);this.Ro.push(n),this.Ro.length>1e3&&(this.Ro=this.Ro.slice(10))}}get siteAppLoaders(){var t;return(t=un._POSTHOG_REMOTE_CONFIG)==null||(t=t[this._instance.config.token])==null?void 0:t.siteApps}initialize(){if(this.isEnabled){var t=this._instance._addCaptureHook(this.Oo.bind(this));this.Lo=()=>{t(),this.Ro=[],this.Lo=void 0}}}globalsForEvent(t){var e,n,r,a,s,o,l;if(!t)throw new Error("Event payload is required");var c={},d=this._instance.get_property("$groups")||[],f=this._instance.get_property("$stored_group_properties")||{};for(var[p,g]of Object.entries(f))c[p]={id:d[p],type:p,properties:g};var{$set_once:y,$set:x}=t;return{event:Ct({},fQ(t,fIe),{properties:Ct({},t.properties,x?{$set:Ct({},(e=(n=t.properties)==null?void 0:n.$set)!==null&&e!==void 0?e:{},x)}:{},y?{$set_once:Ct({},(r=(a=t.properties)==null?void 0:a.$set_once)!==null&&r!==void 0?r:{},y)}:{}),elements_chain:(s=(o=t.properties)==null?void 0:o.$elements_chain)!==null&&s!==void 0?s:"",distinct_id:(l=t.properties)==null?void 0:l.distinct_id}),person:{properties:this._instance.get_property("$stored_person_properties")},groups:c}}setupSiteApp(t){var e=this.apps[t.id],n=()=>{var o;!e.errored&&this.Ro.length&&(R2.info("Processing "+this.Ro.length+" events for site app with id "+t.id),this.Ro.forEac

63h((l=>e.processEvent==null?void 0:e.processEvent(l))),e.processedBuffer=!0),Object.values(this.apps).every((l=>l.processedBuffer||l.errored))&&((o=this.Lo)==null||o.call(this))},r=!1,a=o=>{e.errored=!o,e.loaded=!0,R2.info("Site app with id "+t.id+" "+(o?"loaded":"errored")),r&&n()};try{var{processEvent:s}=t.init({posthog:this._instance,callback(o){a(o)}});s&&(e.processEvent=s),r=!0}catch(o){R2.error(oH+t.id,o),a(!1)}if(r&&e.loaded)try{n()}catch(o){R2.error("Error while processing buffered events PostHog app with config id "+t.id,o),e.errored=!0}}Fo(){var t=this.siteAppLoaders||[];for(var e of t)this.apps[e.id]={id:e.id,loaded:!1,errored:!1,processedBuffer:!1};for(var n of t)this.setupSiteApp(n)}Ao(t){if(Object.keys(this.apps).length!==0){var e=this.globalsForEvent(t);for(var n of Object.values(this.apps))try{n.processEvent==null||n.processEvent(e)}catch(r){R2.error("Error while processing event "+t.event+" for site app "+n.id,r)}}}onRemoteConfig(t){var e,n,r,a=this;if((e=this.siteAppLoaders)!=null&&e.length)return this.isEnabled?(this.Fo(),void this._instance.on("eventCaptured",(c=>this.Ao(c)))):void R2.error('PostHog site apps are disabled. Enable the "opt_in_site_apps" config to proceed.');if((n=this.Lo)==null||n.call(this),(r=t.siteApps)!=null&&r.length)if(this.isEnabled){var s=function(c){var d;un["__$$ph_site_app_"+c]=a._instance,(d=un.__PosthogExtensions__)==null||d.loadSiteApp==null||d.loadSiteApp(a._instance,l,(f=>{if(f)return R2.error(oH+c,f)}))};for(var{id:o,url:l}of t.siteApps)s(o)}else R2.error('PostHog site apps are disabled. Enable the "opt_in_site_apps" config to proceed.')}}},_Ie={tracingHeaders:class{constructor(t){this.No=void 0,this.$o=void 0,this.so=()=>{var e,n,r=this.Do()||[];qt(this.No)&&((e=un.__PosthogExtensions__)==null||(e=e.tracingHeadersPatchFns)==null||e._patchXHR(r,this._instance.get_distinct_id(),this._instance.sessionManager)),qt(this.$o)&&((n=un.__PosthogExtensions__)==null||(n=n.tracingHeadersPatchFns)==null||n._patchFetch(r,this._instance.get_distinct_id(),this._instance.sessionManager))},this._instance=t}initialize(){this.startIfEnabledOrStop()}lr(t){var e,n;(e=un.__PosthogExtensions__)!=null&&e.tracingHeadersPatchFns&&t(),(n=un.__PosthogExtensions__)==null||n.loadExternalDependency==null||n.loadExternalDependency(this._instance,"tracing-headers",(r=>{if(r)return uIe.error("failed to load script",r);t()}))}Do(){var t;return(t=this._instance.config.addTracingHeaders)!==null&&t!==void 0?t:this._instance.config.__add_tracing_headers}startIfEnabledOrStop(){var t,e;this.Do()?this.lr(this.so):((t=this.No)==null||t.call(this),(e=this.$o)==null||e.call(this),this.No=void 0,this.$o=void 0)}}},SIe=Ct({surveys:class{get qt(){return this._instance.config}constructor(t){this.qo=void 0,this._surveyManager=null,this.jo=!1,this.Ho=[],this.Uo=null,this._instance=t,this._surveyEventReceiver=null}initialize(){this.loadIfEnabled()}onRemoteConfig(t){if(!this.qt.disable_surveys){var e=t.surveys;if(fr(e))return ra.warn("Flags not loaded yet. Not loading surveys.");var n=Ir(e);this.qo=n?e.length>0:e,ra.info("flags response received, isSurveysEnabled: "+this.qo),this.loadIfEnabled()}}reset(){localStorage.removeItem("lastSeenSurveyDate");for(var t=[],e=0;e<localStorage.length;e++){var n=localStorage.key(e);(n!=null&&n.startsWith(NN)||n!=null&&n.startsWith("inProgressSurvey_"))&&t.push(n)}t.forEach((r=>localStorage.removeItem(r)))}loadIfEnabled(){if(!this._surveyManager)if(this.jo)ra.info("Already initializing surveys, skipping...");else if(this.qt.disable_surveys)ra.info(lH);else if(this.qt.cookieless_mode&&this._instance.consent.isOptedOut())ra.info("Not loading surveys in cookieless mode without consent.");else{var t=un?.__PosthogExtensions__;if(t){if(!qt(this.qo)||this.qt.advanced_enable_surveys){var e=this.qo||this.qt.advanced_enable_surveys;this.jo=!0;try{var n=t.generateSurveys;if(n)return void this.Bo(n,e);var r=t.loadExternalDependency;if(!r)return void this.zo(KO);r(this._instance,"surveys",(a=>{a||!t.generateSurveys?this.zo("Could not load surveys script",a):this.Bo(t.generateSurveys,e)}))}catch(a){throw this.zo("Error initializing surveys",a),a}finally{this.jo=!1}}}else ra.error("PostHog Extensions not found.")}}Bo(t,e){this._surveyManager=t(this._instance,e),this._surveyEventReceiver=new mIe(this._instance),ra.info("Surveys loaded successfully"),this.Vo({isLoaded:!0})}zo(t,e){ra.error(t,e),this.Vo({isLoaded:!1,error:t})}onSurveysLoaded(t){return this.Ho.push(t),this._surveyManager&&this.Vo({isLoaded:!0}),()=>{this.Ho=this.Ho.filter((e=>e!==t))}}getSurveys(t,e){if(e===void 0&&(e=!1),this.qt.disable_surveys)return ra.info(lH),t([]);var n,r=this._instance.get_property(gN);if(r&&!e)return t(r,{isLoaded:!0});typeof Promise<"u"&&this.Uo?this.Uo.then((a=>{var{surveys:s,context:o}=a;return t(s,o)})):(typeof Promise<"u"&&(this.Uo=new Promise((a=>{n=a}))),this._instance._send_request({url:this._instance.requestRouter.endpointFor("api","/api/surveys/?token="+this.qt.token),method:"GET",timeout:this.qt.surveys_request_timeout_ms,callback:a=>{var s;this.Uo=null;var o=a.statusCode;if(o!==200||!a.json){var l="Surveys API could not be loaded, status: "+o;ra.error(l);var c={isLoaded:!1,error:l};return t([],c),void(n==null||n({surveys:[],context:c}))}var d,f=a.json.surveys||[],p=f.filter((y=>(function(x){return!(!x.start_date||x.end_date)})(y)&&((function(x){var b;return!((b=x.conditions)==null||(b=b.events)==null||(b=b.values)==null||!b.length)})(y)||(function(x){var b;return!((b=x.conditions)==null||(b=b.actions)==null||(b=b.values)==null||!b.length)})(y))));p.length>0&&((d=this._surveyEventReceiver)==null||d.register(p)),(s=this._instance.persistence)==null||s.register({[gN]:f});var g={isLoaded:!0};t(f,g),n?.({surveys:f,context:g})}}))}

63Vo(t){for(var e of this.Ho)try{if(!t.isLoaded)return e([],t);this.getSurveys(e)}catch(n){ra.error("Error in survey callback",n)}}getActiveMatchingSurveys(t,e){if(e===void 0&&(e=!1),!fr(this._surveyManager))return this._surveyManager.getActiveMatchingSurveys(t,e);ra.warn("init was not called")}Wo(t){var e=null;return this.getSurveys((n=>{var r;e=(r=n.find((a=>a.id===t)))!==null&&r!==void 0?r:null})),e}Zo(t){if(fr(this._surveyManager))return{eligible:!1,reason:$A};var e=typeof t=="string"?this.Wo(t):t;return e?this._surveyManager.checkSurveyEligibility(e):{eligible:!1,reason:"Survey not found"}}canRenderSurvey(t){if(fr(this._surveyManager))return ra.warn("init was not called"),{visible:!1,disabledReason:$A};var e=this.Zo(t);return{visible:e.eligible,disabledReason:e.reason}}canRenderSurveyAsync(t,e){return fr(this._surveyManager)?(ra.warn("init was not called"),Promise.resolve({visible:!1,disabledReason:$A})):new Promise((n=>{this.getSurveys((r=>{var a,s=(a=r.find((l=>l.id===t)))!==null&&a!==void 0?a:null;if(s){var o=this.Zo(s);n({visible:o.eligible,disabledReason:o.reason})}else n({visible:!1,disabledReason:"Survey not found"})}),e)}))}renderSurvey(t,e,n){var r;if(fr(this._surveyManager))ra.warn("init was not called");else{var a=typeof t=="string"?this.Wo(t):t;if(a!=null&&a.id)if(GEe.includes(a.type)){var s=Pt?.querySelector(e);if(s)return(r=a.appearance)!=null&&r.surveyPopupDelaySeconds?(ra.info("Rendering survey "+a.id+" with delay of "+a.appearance.surveyPopupDelaySeconds+" seconds"),void setTimeout((()=>{var o,l;ra.info("Rendering survey "+a.id+" with delay of "+((o=a.appearance)==null?void 0:o.surveyPopupDelaySeconds)+" seconds"),(l=this._surveyManager)==null||l.renderSurvey(a,s,n),ra.info("Survey "+a.id+" rendered")}),1e3*a.appearance.surveyPopupDelaySeconds)):void this._surveyManager.renderSurvey(a,s,n);ra.warn("Survey element not found")}else ra.warn("Surveys of type "+a.type+" cannot be rendered in the app");else ra.warn("Survey not found")}}displaySurvey(t,e){var n;if(fr(this._surveyManager))ra.warn("init was not called");else{var r=this.Wo(t);if(r){var a=r;if((n=r.appearance)!=null&&n.surveyPopupDelaySeconds&&e.ignoreDelay&&(a=Ct({},r,{appearance:Ct({},r.appearance,{surveyPopupDelaySeconds:0})})),e.displayType!==EN.Popover&&e.initialResponses&&ra.warn("initialResponses is only supported for popover surveys. prefill will not be applied."),e.ignoreConditions===!1){var s=this.canRenderSurvey(r);if(!s.visible)return void ra.warn("Survey is not eligible to be displayed: ",s.disabledReason)}e.displayType!==EN.Inline?this._surveyManager.handlePopoverSurvey(a,e):this.renderSurvey(a,e.selector,e.properties)}else ra.warn("Survey not found")}}cancelPendingSurvey(t){fr(this._surveyManager)?ra.warn("init was not called"):this._surveyManager.cancelSurvey(t)}handlePageUnload(){var t;(t=this._surveyManager)==null||t.handlePageUnload()}}},A_),EIe={toolbar:class{constructor(t){this.instance=t}Go(t){un.ph_toolbar_state=t}Qo(){var t;return(t=un.ph_toolbar_state)!==null&&t!==void 0?t:0}initialize(){return this.maybeLoadToolbar()}maybeLoadToolbar(t,e,n){if(t===void 0&&(t=void 0),e===void 0&&(e=void 0),n===void 0&&(n=void 0),GQ(this.instance.config)||!Qe||!Pt)return!1;t=t??Qe.location,n=n??Qe.history;try{if(!e){try{Qe.localStorage.setItem("test","test"),Qe.localStorage.removeItem("test")}catch{return!1}e=Qe?.localStorage}var r,a=gIe||Xw(t.hash,"__posthog")||Xw(t.hash,"state"),s=a?Eq((()=>JSON.parse(atob(decodeURIComponent(a)))))||Eq((()=>JSON.parse(decodeURIComponent(a)))):null;return s&&s.action==="ph_authorize"?((r=s).source="url",r&&Object.keys(r).length>0&&(s.desiredHash?t.hash=s.desiredHash:n?n.replaceState(n.state,"",t.pathname+t.search):t.hash="")):((r=JSON.parse(e.getItem(cH)||"{}")).source="localstorage",delete r.userIntent),!(!r.token||this.instance.config.token!==r.token||(this.loadToolbar(r),0))}catch{return!1}}Jo(t){var e=un.ph_load_toolbar||un.ph_load_editor;!fr(e)&&J1(e)?e(t,this.instance):uH.warn("No toolbar load function found")}loadToolbar(t){var e=!(Pt==null||!Pt.getElementById(qQ));if(!Qe||e)return!1;var n=this.instance.requestRouter.region==="custom"&&this.instance.config.advanced_disable_toolbar_metrics,r=Ct({token:this.instance.config.token},t,{apiURL:this.instance.requestRouter.endpointFor("ui")},n?{instrument:!1}:{});if(Qe.localStorage.setItem(cH,JSON.stringify(Ct({},r,{source:void 0}))),this.Qo()===2)this.Jo(r);else if(this.Qo()===0){var a;this.Go(1),(a=un.__PosthogExtensions__)==null||a.loadExternalDependency==null||a.loadExternalDependency(this.instance,"toolbar",(s=>{if(s)return uH.error("[Toolbar] Failed to load",s),void this.Go(0);this.Go(2),this.Jo(r)})),ks(Qe,"turbolinks:load",(()=>{this.Go(0),this.loadToolbar(r)}))}return!0}Ko(t){return 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e.onMessage!=null&&r[e.onMessage(n)]++,e.onUnknownMessage!=null&&r[e.onUnknownMessage(n)]++,r[!0]>0||r[!1]===0}}static createOutboundHandler(e){return e={...e},function(n){const r={[!0]:0,[!1]:0,[void 0]:0};if(e.onMessage!=null&&r[e.onMessage(n)]++,Hke(n)?e.onResetPwOk!=null&&r[e.onResetPwOk(n)]++:e.onUnknownMessage!=null&&r[e.onUnknownMessage(n)]++,r[!0])return!0;

81if(r[!1])return!1}}static createErrorHandler(e){return e={...e},function(n){const r={[!0]:0,[!1]:0,[void 0]:0};if(e.onError!=null&&r[e.onError(n)]++,fte(n)?e.onRecoverAccountUnknown!=null&&r[e.onRecoverAccountUnknown(n)]++:Xke(n)?e.onResetPwInvalidBadChar!=null&&r[e.onResetPwInvalidBadChar(n)]++:Gke(n)?e.onResetPwInvalidMissing!=null&&r[e.onResetPwInvalidMissing(n)]++:Yke(n)?e.onResetPwInvalidTooLong!=null&&r[e.onResetPwInvalidTooLong(n)]++:Wke(n)?e.onResetPwInvalidTooShort!=null&&r[e.onResetPwInvalidTooShort(n)]++:Vke(n)?e.onResetPwTokenExpired!=null&&r[e.onResetPwTokenExpired(n)]++:zke(n)?e.onResetPwTokenInvalid!=null&&r[e.onResetPwTokenInvalid(n)]++:e.onUnknownError!=null&&r[e.onUnknownError(n)]++,r[!0])return!0;if(r[!1])return!1}}static formatSearchParams(e={}){return Object.entries(e).map(([n,r])=>`${n}=${r}`).join("&")}request({headers:e,body:n,search:r,...a}={},s={},o={}){const l=[].concat(s).filter(Boolean).map(p=>typeof p=="function"?p:Y2.createOutboundHandler(p));function c(p,g){let y=!0;for(const x of l){const b=x(p,g)!==!1;y=y&&b}return y}const d=[].concat(o).filter(Boolean).map(p=>typeof p=="function"?p:Y2.createErrorHandler(p));function f(p,g){let y=!1;for(const x of d){const b=x(p,g)===!0;y=y||b}return y}return n?.prototype===Object&&(n=JSON.stringify(n)),super.request({headers:{"Content-Type":"application/json",...e},method:"POST",search:Y2.formatSearchParams(r),body:n,...a},c,f)}getUrl({search:e="",path:n={}}={}){let r=this.getBaseUrl().trim();r.length&&!r.endsWith("/")&&(r+="/");let a;return typeof e=="string"?a=e:e instanceof URLSearchParams?a=String(e):a=String(new URLSearchParams(e)),a=a.trim(),a.length&&(a=a.replace(/^\?*/,"?")),encodeURI(Ta.render(r+"v0/auth/reset-password"+a,n))}getMethod(){return"POST"}async extractData(e){try{return await e.json()}catch{return null}}}class X2 extends Cl{static _default;static default(){return X2._default||(X2._default=new X2)}static createInboundHandler(e){return e={...e},function(n){const r={[!0]:0,[!1]:0,[void 0]:0};return e.onMessage!=null&&r[e.onMessage(n)]++,e.onUnknownMessage!=null&&r[e.onUnknownMessage(n)]++,r[!0]>0||r[!1]===0}}static createOutboundHandler(e){return e={...e},function(n){const r={[!0]:0,[!1]:0,[void 0]:0};if(e.onMessage!=null&&r[e.onMessage(n)]++,tRe(n)?e.onSignupConfirmResendOk!=null&&r[e.onSignupConfirmResendOk(n)]++:e.onUnknownMessage!=null&&r[e.onUnknownMessage(n)]++,r[!0])return!0;if(r[!1])return!1}}static createErrorHandler(e){return e={...e},function(n){const r={[!0]:0,[!1]:0,[void 0]:0};if(e.onError!=null&&r[e.onError(n)]++,nRe(n)?e.onSignupBadState!=null&&r[e.onSignupBadState(n)]++:e.onUnknownError!=null&&r[e.onUnknownError(n)]++,r[!0])return!0;if(r[!1])return!1}}static formatSearchParams(e={}){return Object.entries(e).map(([n,r])=>`${n}=${r}`).join("&")}request({headers:e,body:n,search:r,...a}={},s={},o={}){const l=[].concat(s).filter(Boolean).map(p=>typeof p=="function"?p:X2.createOutboundHandler(p));function c(p,g){let y=!0;for(const x of l){const b=x(p,g)!==!1;y=y&&b}return y}const d=[].concat(o).filter(Boolean).map(p=>typeof p=="function"?p:X2.createErrorHandler(p));function f(p,g){let y=!1;for(const x of d){const b=x(p,g)===!0;y=y||b}return y}return n?.prototype===Object&&(n=JSON.stringify(n)),super.request({headers:{"Content-Type":"application/json",...e},method:"POST",search:X2.formatSearchParams(r),body:n,...a},c,f)}getUrl({search:e="",path:n={}}={}){let r=this.getBaseUrl().trim();r.length&&!r.endsWith("/")&&(r+="/");let a;return typeof e=="string"?a=e:e instanceof URLSearchParams?a=String(e):a=String(new URLSearchParams(e)),a=a.trim(),a.length&&(a=a.replace(/^\?*/,"?")),encodeURI(Ta.render(r+"v0/auth/confirm-email-resend"+a,n))}getMethod(){return"POST"}async extractData(e){try{return await e.json()}catch{return null}}}class K2 extends Cl{static _default;static default(){return K2._default||(K2._default=new K2)}static createInboundHandler(e){return e={...e},function(n){const r={[!0]:0,[!1]:0,[void 0]:0};return e.onMessage!=null&&r[e.onMessage(n)]++,e.onUnknownMessage!=null&&r[e.onUnknownMessage(n)]++,r[!0]>0||r[!1]===0}}static createOutboundHandler(e){return e={...e},function(n){const r={[!0]:0,[!1]:0,[void 0]:0};if(e.onMessage!=null&&r[e.onMessage(n)]++,Kke(n)?e.onSignupConfirmOtpOk!=null&&r[e.onSignupConfirmOtpOk(n)]++:e.onUnknownMessage!=null&&r[e.onUnknownMessage(n)]++,r[!0])return!0;

81if(r[!1])return!1}}static createErrorHandler(e){return e={...e},function(n){const r={[!0]:0,[!1]:0,[void 0]:0};if(e.onError!=null&&r[e.onError(n)]++,Jke(n)?e.onSignupConfirmOtpInvalid!=null&&r[e.onSignupConfirmOtpInvalid(n)]++:Zke(n)?e.onSignupConfirmOtpNotFound!=null&&r[e.onSignupConfirmOtpNotFound(n)]++:e.onUnknownError!=null&&r[e.onUnknownError(n)]++,r[!0])return!0;if(r[!1])return!1}}static formatSearchParams(e={}){return Object.entries(e).map(([n,r])=>`${n}=${r}`).join("&")}request({headers:e,body:n,search:r,...a}={},s={},o={}){const l=[].concat(s).filter(Boolean).map(p=>typeof p=="function"?p:K2.createOutboundHandler(p));function c(p,g){let y=!0;for(const x of l){const b=x(p,g)!==!1;y=y&&b}return y}const d=[].concat(o).filter(Boolean).map(p=>typeof p=="function"?p:K2.createErrorHandler(p));function f(p,g){let y=!1;for(const x of d){const b=x(p,g)===!0;y=y||b}return y}return n?.prototype===Object&&(n=JSON.stringify(n)),super.request({headers:{"Content-Type":"application/json",...e},method:"POST",search:K2.formatSearchParams(r),body:n,...a},c,f)}getUrl({search:e="",path:n={}}={}){let r=this.getBaseUrl().trim();r.length&&!r.endsWith("/")&&(r+="/");let a;return typeof e=="string"?a=e:e instanceof URLSearchParams?a=String(e):a=String(new URLSearchParams(e)),a=a.trim(),a.length&&(a=a.replace(/^\?*/,"?")),encodeURI(Ta.render(r+"v0/auth/confirm-email-otp"+a,n))}getMethod(){return"POST"}async extractData(e){try{return await e.json()}catch{return null}}}class Z2 extends Cl{static _default;static default(){return Z2._default||(Z2._default=new Z2)}static createInboundHandler(e){return e={...e},function(n){const r={[!0]:0,[!1]:0,[void 0]:0};return e.onMessage!=null&&r[e.onMessage(n)]++,e.onUnknownMessage!=null&&r[e.onUnknownMessage(n)]++,r[!0]>0||r[!1]===0}}static createOutboundHandler(e){return e={...e},function(n){const r={[!0]:0,[!1]:0,[void 0]:0};if(e.onMessage!=null&&r[e.onMessage(n)]++,e.onUnknownMessage!=null&&r[e.onUnknownMessage(n)]++,r[!0])return!0;if(r[!1])return!1}}static createErrorHandler(e){return e={...e},function(n){const r={[!0]:0,[!1]:0,[void 0]:0};if(e.onError!=null&&r[e.onError(n)]++,Qke(n)?e.onSignupConfirmTokenExpired!=null&&r[e.onSignupConfirmTokenExpired(n)]++:Sz(n)||Sz(n)?e.onSignupConfirmTokenInvalid!=null&&r[e.onSignupConfirmTokenInvalid(n)]++:eRe(n)?e.onSignupConfirmTokenUserUnknown!=null&&r[e.onSignupConfirmTokenUserUnknown(n)]++:e.onUnknownError!=null&&r[e.onUnknownError(n)]++,r[!0])return!0;if(r[!1])return!1}}static formatSearchParams(e={}){return Object.entries(e).map(([n,r])=>`${n}=${r}`).join("&")}request({headers:e,body:n,search:r,...a}={},s={},o={}){const l=[].concat(s).filter(Boolean).map(p=>typeof p=="function"?p:Z2.createOutboundHandler(p));function c(p,g){let y=!0;for(const x of l){const b=x(p,g)!==!1;y=y&&b}return y}const d=[].concat(o).filter(Boolean).map(p=>typeof p=="function"?p:Z2.createErrorHandler(p));function f(p,g){let y=!1;for(const x of d){const b=x(p,g)===!0;y=y||b}return y}return n?.prototype===Object&&(n=JSON.stringify(n)),super.request({headers:{"Content-Type":"application/json",...e},method:"POST",search:Z2.formatSearchParams(r),body:n,...a},c,f)}getUrl({search:e="",path:n={}}={}){let r=this.getBaseUrl().trim();r.length&&!r.endsWith("/")&&(r+="/");let a;return typeof e=="string"?a=e:e instanceof URLSearchParams?a=String(e):a=String(new URLSearchParams(e)),a=a.trim(),a.length&&(a=a.replace(/^\?*/,"?")),encodeURI(Ta.render(r+"v0/auth/confirm-email-token"+a,n))}getMethod(){return"POST"}async extractData(e){try{return await e.json()}catch{return null}}}class J2 extends Cl{static _default;static default(){return J2._default||(J2._default=new J2)}static createInboundHandler(e){return e={...e},function(n){const r={[!0]:0,[!1]:0,[void 0]:0};return e.onMessage!=null&&r[e.onMessage(n)]++,e.onUnknownMessage!=null&&r[e.onUnknownMessage(n)]++,r[!0]>0||r[!1]===0}}static createOutboundHandler(e){return e={...e},function(n){const r={[!0]:0,[!1]:0,[void 0]:0};if(e.onMessage!=null&&r[e.onMessage(n)]++,$ke(n)?e.onFrillUserToken!=null&&r[e.onFrillUserToken(n)]++:e.onUnknownMessage!=null&&r[e.onUnknownMessage(n)]++,r[!0])return!0;

81if(r[!1])return!1}}static createErrorHandler(e){return e={...e},function(n){const r={[!0]:0,[!1]:0,[void 0]:0};if(e.onError!=null&&r[e.onError(n)]++,e.onUnknownError!=null&&r[e.onUnknownError(n)]++,r[!0])return!0;if(r[!1])return!1}}static formatSearchParams(e={}){return Object.entries(e).map(([n,r])=>`${n}=${r}`).join("&")}request({headers:e,search:n,...r}={},a={},s={}){const o=[].concat(a).filter(Boolean).map(f=>typeof f=="function"?f:J2.createOutboundHandler(f));function l(f,p){let g=!0;for(const y of o){const x=y(f,p)!==!1;g=g&&x}return g}const c=[].concat(s).filter(Boolean).map(f=>typeof f=="function"?f:J2.createErrorHandler(f));function d(f,p){let g=!1;for(const y of c){const x=y(f,p)===!0;g=g||x}return g}return super.request({headers:{...e},method:"GET",search:J2.formatSearchParams(n),...r},l,d)}getUrl({search:e="",path:n={}}={}){let r=this.getBaseUrl().trim();r.length&&!r.endsWith("/")&&(r+="/");let a;return typeof e=="string"?a=e:e instanceof URLSearchParams?a=String(e):a=String(new URLSearchParams(e)),a=a.trim(),a.length&&(a=a.replace(/^\?*/,"?")),encodeURI(Ta.render(r+"v0/auth/frill_user_token/{{board}}"+a,n))}getMethod(){return"GET"}async extractData(e){try{return await e.json()}catch{return null}}}class B4 extends vf{static _default=null;static default(){return B4._default||(B4._default=new B4)}static reset(){B4._default=null}_login=null;_logout=null;_recoverAccount=null;_resetPassword=null;_confirmEmailResend=null;_confirmEmailOtp=null;_confirmEmailToken=null;_frillUserToken=null;get loginRoute(){return this._login||(this._login=new V2().setEndpoint(this))}get logoutRoute(){return this._logout||(this._logout=new G2().setEndpoint(this))}get recoverAccountRoute(){return this._recoverAccount||(this._recoverAccount=new W2().setEndpoint(this))}get resetPasswordRoute(){return this._resetPassword||(this._resetPassword=new Y2().setEndpoint(this))}get confirmEmailResendRoute(){return this._confirmEmailResend||(this._confirmEmailResend=new X2().setEndpoint(this))}get confirmEmailOtpRoute(){return this._confirmEmailOtp||(this._confirmEmailOtp=new K2().setEndpoint(this))}get confirmEmailTokenRoute(){return this._confirmEmailToken||(this._confirmEmailToken=new Z2().setEndpoint(this))}

81get frillUserTokenRoute(){return this._frillUserToken||(this._frillUserToken=new J2().setEndpoint(this))}requestLogin(...e){return this.loginRoute.request(...e)}requestLogout(...e){return this.logoutRoute.request(...e)}requestRecoverAccount(...e){return this.recoverAccountRoute.request(...e)}requestResetPassword(...e){return this.resetPasswordRoute.request(...e)}requestConfirmEmailResend(...e){return this.confirmEmailResendRoute.request(...e)}requestConfirmEmailOtp(...e){return this.confirmEmailOtpRoute.request(...e)}requestConfirmEmailToken(...e){return this.confirmEmailTokenRoute.request(...e)}requestFrillUserToken(...e){return this.frillUserTokenRoute.request(...e)}}class Q2 extends Cl{static _default;static default(){return Q2._default||(Q2._default=new Q2)}static createInboundHandler(e){return e={...e},function(n){const r={[!0]:0,[!1]:0,[void 0]:0};return e.onMessage!=null&&r[e.onMessage(n)]++,e.onUnknownMessage!=null&&r[e.onUnknownMessage(n)]++,r[!0]>0||r[!1]===0}}static createOutboundHandler(e){return e={...e},function(n){const r={[!0]:0,[!1]:0,[void 0]:0};if(e.onMessage!=null&&r[e.onMessage(n)]++,xRe(n)?e.onDataLicenseSubscriptionViewList!=null&&r[e.onDataLicenseSubscriptionViewList(n)]++:e.onUnknownMessage!=null&&r[e.onUnknownMessage(n)]++,r[!0])return!0;if(r[!1])return!1}}static createErrorHandler(e){return e={...e},function(n){const r={[!0]:0,[!1]:0,[void 0]:0};if(e.onError!=null&&r[e.onError(n)]++,e.onUnknownError!=null&&r[e.onUnknownError(n)]++,r[!0])return!0;if(r[!1])return!1}}static formatSearchParams(e={}){return Object.entries(e).map(([n,r])=>`${n}=${r}`).join("&")}request({headers:e,body:n,search:r,...a}={},s={},o={}){const l=[].concat(s).filter(Boolean).map(p=>typeof p=="function"?p:Q2.createOutboundHandler(p));function c(p,g){let y=!0;for(const x of l){const b=x(p,g)!==!1;y=y&&b}return y}const d=[].concat(o).filter(Boolean).map(p=>typeof p=="function"?p:Q2.createErrorHandler(p));function f(p,g){let y=!1;for(const x of d){const b=x(p,g)===!0;y=y||b}return y}return n?.prototype===Object&&(n=JSON.stringify(n)),super.request({headers:{"Content-Type":"application/json",...e},method:"get",search:Q2.formatSearchParams(r),body:n,...a},c,f)}getUrl({search:e="",path:n={}}={}){let r=this.getBaseUrl().trim();r.length&&!r.endsWith("/")&&(r+="/");let a;return typeof e=="string"?a=e:e instanceof URLSearchParams?a=String(e):a=String(new URLSearchParams(e)),a=a.trim(),a.length&&(a=a.replace(/^\?*/,"?")),encodeURI(Ta.render(r+"v0/licensing/me"+a,n))}getMethod(){return"get"}async extractData(e){try{return await e.json()}catch{return null}}}class ef extends Cl{static _default;static default(){return ef._default||(ef._default=new ef)}static createInboundHandler(e){return e={...e},function(n){const r={[!0]:0,[!1]:0,[void 0]:0};return e.onMessage!=null&&r[e.onMessage(n)]++,e.onUnknownMessage!=null&&r[e.onUnknownMessage(n)]++,r[!0]>0||r[!1]===0}}static createOutboundHandler(e){return e={...e},function(n){const r={[!0]:0,[!1]:0,[void 0]:0};if(e.onMessage!=null&&r[e.onMessage(n)]++,pte(n)?e.onLicenseTemplateFileNotFound!=null&&r[e.onLicenseTemplateFileNotFound(n)]++:e.onUnknownMessage!=null&&r[e.onUnknownMessage(n)]++,r[!0])return!0;if(r[!1])return!1}}static createErrorHandler(e){return e={...e},function(n){const r={[!0]:0,[!1]:0,[void 0]:0};if(e.onError!=null&&r[e.onError(n)]++,e.onUnknownError!=null&&r[e.onUnknownError(n)]++,r[!0])return!0;if(r[!1])return!1}}static formatSearchParams(e={}){return Object.entries(e).map(([n,r])=>`${n}=${r}`).join("&")}request({headers:e,body:n,search:r,...a}={},s={},o={}){const l=[].concat(s).filter(Boolean).map(p=>typeof p=="function"?p:ef.createOutboundHandler(p));function c(p,g){let y=!0;for(const x of l){const b=x(p,g)!==!1;y=y&&b}return y}const d=[].concat(o).filter(Boolean).map(p=>typeof p=="function"?p:ef.createErrorHandler(p));function f(p,g){let y=!1;for(const x of d){const b=x(p,g)===!0;y=y||b}return y}return n?.prototype===Object&&(n=JSON.stringify(n)),super.request({headers:{"Content-Type":"application/json",...e},method:"get",search:ef.formatSearchParams(r),body:n,...a},c,f)}getUrl({search:e="",path:n={}}={}){let r=this.getBaseUrl().trim();r.length&&!r.endsWith("/")&&(r+="/");let a;return typeof e=="string"?a=e:e instanceof URLSearchParams?a=String(e):a=String(new URLSearchParams(e)),a=a.trim(),a.length&&(a=a.replace(/^\?*/,"?")),encodeURI(Ta.render(r+"v0/licensing/templates/{{provider}}/{{form}}"+a,n))}getMethod(){return"get"}async extractData(e){try{return await e.json()}catch{return null}}}class tf extends Cl{static _default;static default(){return tf._default||(tf._default=new tf)}static createInboundHandler(e){return e={...e},function(n){const r={[!0]:0,[!1]:0,[void 0]:0};return e.onMessage!=null&&r[e.onMessage(n)]++,e.onUnknownMessage!=null&&r[e.onUnknownMessage(n)]++,r[!0]>0||r[!1]===0}}static createOutboundHandler(e){return e={...e},function(n){const r={[!0]:0,[!1]:0,[void 0]:0};if(e.onMessage!=null&&r[e.onMessage(n)]++,e.onUnknownMessage!=null&&r[e.onUnknownMessage(n)]++,r[!0])return!0;

81if(r[!1])return!1}}static createErrorHandler(e){return e={...e},function(n){const r={[!0]:0,[!1]:0,[void 0]:0};if(e.onError!=null&&r[e.onError(n)]++,pte(n)?e.onLicenseTemplateFileNotFound!=null&&r[e.onLicenseTemplateFileNotFound(n)]++:e.onUnknownError!=null&&r[e.onUnknownError(n)]++,r[!0])return!0;if(r[!1])return!1}}static formatSearchParams(e={}){return Object.entries(e).map(([n,r])=>`${n}=${r}`).join("&")}request({headers:e,body:n,search:r,...a}={},s={},o={}){const l=[].concat(s).filter(Boolean).map(p=>typeof p=="function"?p:tf.createOutboundHandler(p));function c(p,g){let y=!0;for(const x of l){const b=x(p,g)!==!1;y=y&&b}return y}const d=[].concat(o).filter(Boolean).map(p=>typeof p=="function"?p:tf.createErrorHandler(p));function f(p,g){let y=!1;for(const x of d){const b=x(p,g)===!0;y=y||b}return y}return n?.prototype===Object&&(n=JSON.stringify(n)),super.request({headers:{"Content-Type":"application/json",...e},method:"get",search:tf.formatSearchParams(r),body:n,...a},c,f)}getUrl({search:e="",path:n={}}={}){let r=this.getBaseUrl().trim();r.length&&!r.endsWith("/")&&(r+="/");let a;return typeof e=="string"?a=e:e instanceof URLSearchParams?a=String(e):a=String(new URLSearchParams(e)),a=a.trim(),a.length&&(a=a.replace(/^\?*/,"?")),encodeURI(Ta.render(r+"v0/licensing/templates/{{provider}}"+a,n))}getMethod(){return"get"}async extractData(e){try{return await e.json()}catch{return null}}}class nf extends Cl{static _default;static default(){return nf._default||(nf._default=new nf)}static createInboundHandler(e){return e={...e},function(n){const r={[!0]:0,[!1]:0,[void 0]:0};return e.onMessage!=null&&r[e.onMessage(n)]++,e.onUnknownMessage!=null&&r[e.onUnknownMessage(n)]++,r[!0]>0||r[!1]===0}}static createOutboundHandler(e){return e={...e},function(n){const r={[!0]:0,[!1]:0,[void 0]:0};if(e.onMessage!=null&&r[e.onMessage(n)]++,e.onUnknownMessage!=null&&r[e.onUnknownMessage(n)]++,r[!0])return!0;if(r[!1])return!1}}static createErrorHandler(e){return e={...e},function(n){const r={[!0]:0,[!1]:0,[void 0]:0};if(e.onError!=null&&r[e.onError(n)]++,CRe(n)?e.onLicenseAgreementFileNotFound!=null&&r[e.onLicenseAgreementFileNotFound(n)]++:e.onUnknownError!=null&&r[e.onUnknownError(n)]++,r[!0])return!0;if(r[!1])return!1}}static formatSearchParams(e={}){const{download:n,...r}=e;return[`download=${!!n}`,...Object.entries(r).map(([a,s])=>`${a}=${s}`)].join("&")}request({headers:e,body:n,search:r,...a}={},s={},o={}){const l=[].concat(s).filter(Boolean).map(p=>typeof p=="function"?p:nf.createOutboundHandler(p));function c(p,g){let y=!0;for(const x of l){const b=x(p,g)!==!1;y=y&&b}return y}const d=[].concat(o).filter(Boolean).map(p=>typeof p=="function"?p:nf.createErrorHandler(p));function f(p,g){let y=!1;for(const x of d){const b=x(p,g)===!0;y=y||b}return y}return n?.prototype===Object&&(n=JSON.stringify(n)),super.request({headers:{"Content-Type":"application/json",...e},method:"get",search:nf.formatSearchParams(r),body:n,...a},c,f)}getUrl({search:e="",path:n={}}={}){let r=this.getBaseUrl().trim();r.length&&!r.endsWith("/")&&(r+="/");let a;return typeof e=="string"?a=e:e instanceof URLSearchParams?a=String(e):a=String(new URLSearchParams(e)),a=a.trim(),a.length&&(a=a.replace(/^\?*/,"?")),encodeURI(Ta.render(r+"v0/licensing/me/agreements/{{provider}}"+a,n))}getMethod(){return"get"}async extractData(e){try{return await e.json()}catch{return null}}}class rf extends Cl{static _default;static default(){return rf._default||(rf._default=new rf)}static createInboundHandler(e){return e={...e},function(n){const r={[!0]:0,[!1]:0,[void 0]:0};return e.onMessage!=null&&r[e.onMessage(n)]++,e.onUnknownMessage!=null&&r[e.onUnknownMessage(n)]++,r[!0]>0||r[!1]===0}}static createOutboundHandler(e){return e={...e},function(n){const r={[!0]:0,[!1]:0,[void 0]:0};if(e.onMessage!=null&&r[e.onMessage(n)]++,bRe(n)?e.onDataLicenseSubscriptionView!=null&&r[e.onDataLicenseSubscriptionView(n)]++:e.onUnknownMessage!=null&&r[e.onUnknownMessage(n)]++,r[!0])return!0;if(r[!1])return!1}}static createErrorHandler(e){return e={...e},function(n){const r={[!0]:0,[!1]:0,[void 0]:0};if(e.onError!=null&&r[e.onError(n)]++,wRe(n)?e.onLicenseActivationPaymentFailed!=null&&r[e.onLicenseActivationPaymentFailed(n)]++:ARe(n)?e.onLicenseInvalidEstimatedPriceMismatch!=null&&r[e.onLicenseInvalidEstimatedPriceMismatch(n)]++:IRe(n)?e.onLicenseInvalidPriceZero!=null&&r[e.onLicenseInvalidPriceZero(n)]++:SRe(n)?e.onLicenseInvalidRequestTooManyDevices!=null&&r[e.onLicenseInvalidRequestTooManyDevices(n)]++:_Re(n)?e.onLicenseNotFound!=null&&r[e.onLicenseNotFound(n)]++:TRe(n)?e.onLicenseProcessNotImplementedForProvider!=null&&r[e.onLicenseProcessNotImplementedForProvider(n)]++:hte(n)?e.onLicenseSubscriptionNotFound!=null&&r[e.onLicenseSubscriptionNotFound(n)]++:e.onUnknownError!=null&&r[e.onUnknownError(n)]++,r[!0])return!0;

81if(r[!1])return!1}}static formatSearchParams(e={}){return Object.entries(e).map(([n,r])=>`${n}=${r}`).join("&")}request({headers:e,body:n,search:r,...a}={},s={},o={}){const l=[].concat(s).filter(Boolean).map(p=>typeof p=="function"?p:rf.createOutboundHandler(p));function c(p,g){let y=!0;for(const x of l){const b=x(p,g)!==!1;y=y&&b}return y}const d=[].concat(o).filter(Boolean).map(p=>typeof p=="function"?p:rf.createErrorHandler(p));function f(p,g){let y=!1;for(const x of d){const b=x(p,g)===!0;y=y||b}return y}return n?.prototype===Object&&(n=JSON.stringify(n)),super.request({headers:{"Content-Type":"application/json",...e},method:"post",search:rf.formatSearchParams(r),body:n,...a},c,f)}getUrl({search:e="",path:n={}}={}){let r=this.getBaseUrl().trim();r.length&&!r.endsWith("/")&&(r+="/");let a;return typeof e=="string"?a=e:e instanceof URLSearchParams?a=String(e):a=String(new URLSearchParams(e)),a=a.trim(),a.length&&(a=a.replace(/^\?*/,"?")),encodeURI(Ta.render(r+"v0/licensing/me/subscriptions"+a,n))}getMethod(){return"post"}async extractData(e){try{return await e.json()}catch{return null}}}class af extends Cl{static _default;static default(){return af._default||(af._default=new af)}static createInboundHandler(e){return e={...e},function(n){const r={[!0]:0,[!1]:0,[void 0]:0};return e.onMessage!=null&&r[e.onMessage(n)]++,e.onUnknownMessage!=null&&r[e.onUnknownMessage(n)]++,r[!0]>0||r[!1]===0}}static createOutboundHandler(e){return e={...e},function(n){const r={[!0]:0,[!1]:0,[void 0]:0};if(e.onMessage!=null&&r[e.onMessage(n)]++,e.onUnknownMessage!=null&&r[e.onUnknownMessage(n)]++,r[!0])return!0;if(r[!1])return!1}}static createErrorHandler(e){return e={...e},function(n){const r={[!0]:0,[!1]:0,[void 0]:0};if(e.onError!=null&&r[e.onError(n)]++,ERe(n)?e.onLicenseStatusInvalidForTermination!=null&&r[e.onLicenseStatusInvalidForTermination(n)]++:hte(n)?e.onLicenseSubscriptionNotFound!=null&&r[e.onLicenseSubscriptionNotFound(n)]++:e.onUnknownError!=null&&r[e.onUnknownError(n)]++,r[!0])return!0;if(r[!1])return!1}}static formatSearchParams(e={}){return Object.entries(e).map(([n,r])=>`${n}=${r}`).join("&")}request({headers:e,body:n,search:r,...a}={},s={},o={}){const l=[].concat(s).filter(Boolean).map(p=>typeof p=="function"?p:af.createOutboundHandler(p));function c(p,g){let y=!0;for(const x of l){const b=x(p,g)!==!1;y=y&&b}return y}const d=[].concat(o).filter(Boolean).map(p=>typeof p=="function"?p:af.createErrorHandler(p));function f(p,g){let y=!1;for(const x of d){const b=x(p,g)===!0;y=y||b}return y}return n?.prototype===Object&&(n=JSON.stringify(n)),super.request({headers:{"Content-Type":"application/json",...e},method:"delete",search:af.formatSearchParams(r),body:n,...a},c,f)}getUrl({search:e="",path:n={}}={}){let r=this.getBaseUrl().trim();r.length&&!r.endsWith("/")&&(r+="/");let a;return typeof e=="string"?a=e:e instanceof URLSearchParams?a=String(e):a=String(new URLSearchParams(e)),a=a.trim(),a.length&&(a=a.replace(/^\?*/,"?")),encodeURI(Ta.render(r+"v0/licensing/me/subscriptions/{{provider}}/{{name}}"+a,n))}getMethod(){return"delete"}async extractData(e){try{return await e.json()}catch{return null}}}class U4 extends vf{static _default=null;static default(){return U4._default||(U4._default=new U4)}static reset(){U4._default=null}_getDataLicensingView=null;_getDataLicenseTemplate=null;_getPdfPreview=null;_getDataLicenseAgreement=null;_submitNewDataLicenseSubscription=null;_terminateADataLicenseSubscription=null;get getDataLicensingViewRoute(){return this._getDataLicensingView||(this._getDataLicensingView=new Q2().setEndpoint(this))}get getDataLicenseTemplateRoute(){return this._getDataLicenseTemplate||(this._getDataLicenseTemplate=new ef().setEndpoint(this))}get getPdfPreviewRoute(){return this._getPdfPreview||(this._getPdfPreview=new tf().setEndpoint(this))}get getDataLicenseAgreementRoute(){return this._getDataLicenseAgreement||(this._getDataLicenseAgreement=new nf().setEndpoint(this))}get submitNewDataLicenseSubscriptionRoute(){return this._submitNewDataLicenseSubscription||(this._submitNewDataLicenseSubscription=new rf().setEndpoint(this))}get terminateADataLicenseSubscriptionRoute(){return this._terminateADataLicenseSubscription||(this._terminateADataLicenseSubscription=new af().setEndpoint(this))}requestGetDataLicensingView(...e){return this.getDataLicensingViewRoute.request(...e)}requestGetDataLicenseTemplate(...e){return this.getDataLicenseTemplateRoute.request(...e)}requestGetPdfPreview(...e){return this.getPdfPreviewRoute.request(...e)}requestGetDataLicenseAgreement(...e){return this.getDataLicenseAgreementRoute.request(...e)}requestSubmitNewDataLicenseSubscription(...e){return this.submitNewDataLicenseSubscriptionRoute.request(...e)}requestTerminateADataLicenseSubscription(...e){return this.terminateADataLicenseSubscriptionRoute.request(...e)}}class DRe{static lazy(e){let n=null;return function(){return n||(n=e())}}}const zf=DRe.lazy(()=>new B4().setBaseUrl("https://api.databento.com"));

81class N5 extends ja{static default(){return N5._default||(N5._default=new N5)}static _default;getIntercomUserHmac=async()=>this.get("/auth/intercom_user_hmac").then(e=>e).catch(e=>(console.error("Error getting Intercom HMAC code: ",e),null))}class R8 extends ja{static _default;static default(){return R8._default||(R8._default=new R8)}billingSetupIntent=async()=>this.post("/users/me/billing",{},Nr);billingListCards=async()=>this.get("/users/me/list_cards");billingDeleteCard=async e=>this.post("/users/me/delete_card",{payment_method:e},Nr);billingUpdateDefault=async e=>this.post("/users/me/update_default",{payment_method:e},Nr);billingUpdateCard=async e=>this.post("/users/me/edit_card",e,Nr);billingAddCard=async e=>this.post("/users/me/add_card?payment_method="+e,{});getBillingDashboard=async()=>this.get("/billing/dashboard");getBillingInvoices=async(e,n)=>this.get(`/billing/invoices?${e}`,n?{signal:n}:{});getUpcomingInvoice=async()=>this.get("/billing/upcoming_invoice");getInvoiceDetailV2=async e=>this.get(`/billing/invoice/${e}`,{});getAdminInvoiceDetailV2=async(e,n)=>this.get(`/billing/invoice/admin/${e}?secret=${n}`,{});getBillingCredits=async e=>this.get(`/billing/credits?${Gl.stringify(e)}`,{});getBillingBudget=async()=>this.get("/billing/team_budget");updateBillingBudget=async e=>this.post("/billing/team_budget",e,Nr);getBillingPastDueInvoice=async()=>this.get("/billing/unpaid_invoice");getTeamBillingPreference=async()=>this.get("/teams/me/billing_preference");updateTeamBillingPreference=async e=>this.put("/teams/me/billing_preference",e,Nr);billingCreditCodeApply=async(e,n)=>await this.post(`/billing/redeem_credit_code?code=${n}`,{})}const Az="https://boards-api.greenhouse.io/v1/boards/databento/jobs";class N8 extends ja{static _default;static default(){return N8._default||(N8._default=new N8)}getJobListContent=async()=>this.get(Az,_z);getJobContent=async e=>this.get(Az+e,_z)}const mte="3.7.8",PRe=mte,kg=typeof Buffer=="function",Tz=typeof TextDecoder=="function"?new TextDecoder:void 0,kz=typeof TextEncoder=="function"?new TextEncoder:void 0,ORe="ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/=",Y7=Array.prototype.slice.call(ORe),Pb=(t=>{let e={};return t.forEach((n,r)=>e[n]=r),e})(Y7),MRe=/^(?:[A-Za-z\d+\/]{4})*?(?:[A-Za-z\d+\/]{2}(?:==)?|[A-Za-z\d+\/]{3}=?)?$/,Ni=String.fromCharCode.bind(String),Rz=typeof Uint8Array.from=="function"?Uint8Array.from.bind(Uint8Array):t=>new Uint8Array(Array.prototype.slice.call(t,0)),gte=t=>t.replace(/=/g,"").replace(/[+\/]/g,e=>e=="+"?"-":"_"),vte=t=>t.replace(/[^A-Za-z0-9\+\/]/g,""),yte=t=>{let e,n,r,a,s="";const o=t.length%3;for(let l=0;l<t.length;){if((n=t.charCodeAt(l++))>255||(r=t.charCodeAt(l++))>255||(a=t.charCodeAt(l++))>255)throw new TypeError("invalid character found");e=n<<16|r<<8|a,s+=Y7[e>>18&63]+Y7[e>>12&63]+Y7[e>>6&63]+Y7[e&63]}return o?s.slice(0,o-3)+"===".substring(o):s},hM=typeof btoa=="function"?t=>btoa(t):kg?t=>Buffer.from(t,"binary").toString("base64"):yte,YN=kg?t=>Buffer.from(t).toString("base64"):t=>{let n=[];for(let r=0,a=t.length;r<a;r+=4096)n.push(Ni.apply(null,t.subarray(r,r+4096)));return hM(n.join(""))},Dx=(t,e=!1)=>e?gte(YN(t)):YN(t),LRe=t=>{if(t.length<2){var e=t.charCodeAt(0);return e<128?t:e<2048?Ni(192|e>>>6)+Ni(128|e&63):Ni(224|e>>>12&15)+Ni(128|e>>>6&63)+Ni(128|e&63)}else{var e=65536+(t.charCodeAt(0)-55296)*1024+(t.charCodeAt(1)-56320);return Ni(240|e>>>18&7)+Ni(128|e>>>12&63)+Ni(128|e>>>6&63)+Ni(128|e&63)}},jRe=/[\uD800-\uDBFF][\uDC00-\uDFFFF]|[^\x00-\x7F]/g,bte=t=>t.replace(jRe,LRe),Nz=kg?t=>Buffer.from(t,"utf8").toString("base64"):kz?t=>YN(kz.encode(t)):t=>hM(bte(t)),D5=(t,e=!1)=>e?gte(Nz(t)):Nz(t),Dz=t=>D5(t,!0),FRe=/[\xC0-\xDF][\x80-\xBF]|[\xE0-\xEF][\x80-\xBF]{2}|[\xF0-\xF7][\x80-\xBF]{3}/g,BRe=t=>{switch(t.length){case 4:var e=(7&t.charCodeAt(0))<<18|(63&t.charCodeAt(1))<<12|(63&t.charCodeAt(2))<<6|63&t.charCodeAt(3),n=e-65536;return Ni((n>>>10)+55296)+Ni((n&1023)+56320);case 3:return Ni((15&t.charCodeAt(0))<<12|(63&t.charCodeAt(1))<<6|63&t.charCodeAt(2));default:return Ni((31&t.charCodeAt(0))<<6|63&t.charCodeAt(1))}},xte=t=>t.replace(FRe,BRe),wte=t=>

81{if(t=t.replace(/\s+/g,""),!MRe.test(t))throw new TypeError("malformed base64.");t+="==".slice(2-(t.length&3));let e,n,r,a=[];for(let s=0;s<t.length;)e=Pb[t.charAt(s++)]<<18|Pb[t.charAt(s++)]<<12|(n=Pb[t.charAt(s++)])<<6|(r=Pb[t.charAt(s++)]),n===64?a.push(Ni(e>>16&255)):r===64?a.push(Ni(e>>16&255,e>>8&255)):a.push(Ni(e>>16&255,e>>8&255,e&255));return a.join("")},mM=typeof atob=="function"?t=>atob(vte(t)):kg?t=>Buffer.from(t,"base64").toString("binary"):wte,Cte=kg?t=>Rz(Buffer.from(t,"base64")):t=>Rz(mM(t).split("").map(e=>e.charCodeAt(0))),_te=t=>Cte(Ste(t)),URe=kg?t=>Buffer.from(t,"base64").toString("utf8"):Tz?t=>Tz.decode(Cte(t)):t=>xte(mM(t)),Ste=t=>vte(t.replace(/[-_]/g,e=>e=="-"?"+":"/")),XN=t=>URe(Ste(t)),$Re=t=>{if(typeof t!="string")return!1;const e=t.replace(/\s+/g,"").replace(/={0,2}$/,"");return!/[^\s0-9a-zA-Z\+/]/.test(e)||!/[^\s0-9a-zA-Z\-_]/.test(e)},Ete=t=>({value:t,enumerable:!1,writable:!0,configurable:!0}),Ite=function(){const t=(e,n)=>Object.defineProperty(String.prototype,e,Ete(n));t("fromBase64",function(){return XN(this)}),t("toBase64",function(e){return D5(this,e)}),t("toBase64URI",function(){return D5(this,!0)}),t("toBase64URL",function(){return D5(this,!0)}),t("toUint8Array",function(){return _te(this)})},Ate=function(){const t=(e,n)=>Object.defineProperty(Uint8Array.prototype,e,Ete(n));t("toBase64",function(e){return Dx(this,e)}),t("toBase64URI",function(){return Dx(this,!0)}),t("toBase64URL",function(){return Dx(this,!0)})},qRe=()=>{Ite(),Ate()},KN={version:mte,VERSION:PRe,atob:mM,atobPolyfill:wte,btoa:hM,btoaPolyfill:yte,fromBase64:XN,toBase64:D5,encode:D5,encodeURI:Dz,encodeURL:Dz,utob:bte,btou:xte,decode:XN,isValid:$Re,fromUint8Array:Dx,toUint8Array:_te,extendString:Ite,extendUint8Array:Ate,extendBuiltins:qRe};class D8 extends ja{static _default;static default(){return D8._default||(D8._default=new D8)}getUserCart=async e=>{const r=await Yt.get("/users/me/cart"),a=KN.decode(r.data);return JSON.parse(a)};saveUserCart=async(e,n)=>{const r="/users/me/cart",a={content:KN.encode(n)};return(await Yt.post(r,a,Nr)).data}}class P8 extends ja{static _default;static default(){return P8._default||(P8._default=new P8)}getDisplayDatasetProfile=async e=>{const n=qn.apiCDN().resolveURL("/v0/dataset/dataset-profile",e);return this.get(n,i3)};getDisplayDatasetDetails=async e=>{const n=`/dataset/dataset-details/${e}`,r=await this.get(n,{baseURL:void 0});return r.schema_availability=r.schema_availability&&r.schema_availability.map(a=>{const[s,o]=a.dbn_schema.split("-");return{...a,schema:`${s.toUpperCase()}${o?`-${o}`:""}`}}),r}}class O8 extends ja{static _default;static default(){return O8._default||(O8._default=new O8)}getEntitlement=async e=>this.get(encodeURI(`/users/me/dataset_entitlement?dataset=${e}`))}class M8 extends ja{static _default;static default(){return M8._default||(M8._default=new M8)}getDatasetInstrumentProfile=async e=>{const n=`/dataset/instrument_profile/${e}`;return this.get(n)};getDatasetInstruments=async e=>{const{datasetId:n,order_by:r,desc:a,search_by:s,filter_by:o,limit:l,offset:c}=e;let d=`/dataset/instrument_detail/${n}?`;d=`${d}limit=${l}&offset=${c}`,r&&(d=`${d}&order_by=${r}&desc=${a}`),s&&(d=`${d}&search_by=${s}`),o&&o.forEach(p=>{p.values.forEach(y=>{d=`${d}&${p.key}=${y}`})});const f=await Yt.get(d,{baseURL:void 0});return f.data.data=f.data.data.map(p=>({symbol:p.symbol,displaySymbol:p.display_symbol,instrumentName:p.instrument_name,assetClass:p.asset_class,productGroup:p.product_group,volume:p.volume,openInterest:p.open_interest,sector:p.sector,closePrice:p.close_price,securityType:p.security_type,datasetId:p.dataset_id,datasetName:p.dataset_name})),f.data};batchDownload=async e=>{const n=`/batch/me?${Gl.stringify(e)}`;return this.post(n)};getDatasetRecommend=async()=>this.get("/dataset/recommend",{baseURL:void 0});validateSymbol=async(e,n,r)=>

81{if(n&&r){const a=`/instrument/validate/${e}/${n}/${r}`,s=await Yt.get(a,{baseURL:void 0}),{instrument_name:o,symbol:l,display_symbol:c,security_type:d,asset_class:f,first_seen:p,last_seen:g}=s.data;return{name:o,symbol:l,displaySymbol:c,securityType:d,assetClass:f,firstSeen:p,lastSeen:g}}return null};batchQuoteJob=async(e,n,r,a)=>{const s=`/batch${r?"/quote_user_job":"/quote_job"}?${Gl.stringify(n)}`;return this.post(s,{},{signal:a})};getRelatedDatasetsForSymbol=async e=>{const{datasetId:n,assetClass:r,symbol:a}=e,s=`/instrument/related-datasets/${n}/${r}/${a}`;return this.get(s)}}class L8 extends ja{static _default;static default(){return L8._default||(L8._default=new L8)}getDatasetSampleData=async(e,n,r,a,s)=>{let o=a;a==="native"&&(o="raw_symbol");let l=`/dataset/sample?dataset=${e}&encoding=${n}&schema=${r}&stype_in=${o}`;return l=s?`${l}&symbol=${s}`:l,(await Yt.get(l,{baseURL:void 0})).data};getDatasetPrice=async(e,n)=>{let r=`/dataset/cost_estimate/${e}`;return n&&(r=`${r}?product=${n}`),(await Yt.get(r)).data};getPriceAndSize=async(e,n)=>{const r=`/dataset/quote?${Gl.stringify(e)}`;return(await Yt.get(r,{cancelToken:n})).data};getUnitPrices=async e=>{let n="/metadata.list_unit_prices?";return n=`${n}${Gl.stringify(e)}`,(await Yt.get(n)).data};getUnitPrice=async e=>{let n="/metadata.list_unit_prices?";return n=`${n}${Gl.stringify(e)}`,(await Yt.get(n)).data};getSizeEstimation=async e=>{let n="/dataset.get_size_distribution?";return n=`${n}${Gl.stringify(e)}`,(await Yt.get(n)).data};getLicenseFee=async e=>{if(e.purposes.length==0)return 0;const n={dataset:e.dataset,purposes:e.purposes.join(",")};let r="/dataset.get_license_fee?";return r=`${r}${Gl.stringify(n)}`,(await Yt.get(r)).data};getCodeRunnerSampleData=async()=>{let e="";return e=`${e}/timeseries.get_range?dataset=GLBX.MDP3&schema=mbo&encoding=csv&start=2023-01-09T00:00&end=2023-01-09T20:00&limit=100`,(await Yt.get(e)).data}}class j8 extends ja{static _default;static default(){return j8._default||(j8._default=new j8)}getAllSchemas=async({datasetID:e,instrument:n,slim:r=!1,unitPrice:a=!1})=>{let s="/v0/dataset/schemas";return n&&console.log("instrument not yet supported on ",s),e&&(s=`${s}/${e}`),s=`${s}?slim=${r}`,a&&(s=`${s}&unit_price=${a}`),this.get(qn.apiCDN().resolveURL(s),i3)};getSchemasByDataset=async e=>{const n=qn.apiCDN().resolveURL(`/v0/dataset/schema/${e}?slim=true&unit_price=true`);return(await this.get(n,i3)).reduce((r,a)=>({...r,[a.schema_id]:a}),{})}}class F8 extends ja{static _default;static default(){return F8._default||(F8._default=new F8)}getServiceCatalogList=async(e={})=>{const n=qn.apiCDN().resolveURL("/v0/dataset/service/catalog");return this.get(n,i3)}}class B8 extends ja{static _default;static default(){return B8._default||(B8._default=new B8)}getDataUsageUserPast=async(e,n)=>{const r=`/usage/past_report?${Gl.stringify(n)}`;return(await Yt.get(r)).data};getDataUsageTeamPast=async(e,n)=>{const r=`/usage/teams/past_report?${Gl.stringify(n)}`;return(await Yt.get(r)).data};getDataUsageMTDSummary=async(e,n,r)=>{let a=n==="user"?"/usage/mtd_usage":"/usage/teams/mtd_usage";a=`${a}?end=${r}`;try{return(await Yt.get(a)).data}catch(s){const o=JSON.stringify(s);return console.error(new Error(JSON.stringify(s))),On.encounteredServerError({page_url:window.location.href,endpoint:a,error_message:o}),null}}}class U8 extends ja{static _default;static default(){return U8._default||(U8._default=new U8)}getDisplayMappings=async()=>(await Yt.get("/display/mappings")).data;getDisplaySearch=async()=>(await Yt.get("/display/search")).data;getDisplayLanding=async()=>(await Yt.get("/display/landing")).data;getDisplayMetadata=async()=>{const e=qn.apiCDN().resolveURL("/v0/display/configuration");return(await Yt.get(e,i3)).data}}class $8 extends ja{static _default;static default(){return $8._default||($8._default=new $8)}getUserBatchJobs=async e=>this.get(`/batch/me?query=${e}`);getBatchJobDisplay=async()=>this.get("/batch/display");getUserBatchJobFile=async e=>{const{jobId:n,protocol:r,offset:a,limit:s}=e;let o=`/batch/files/${n}`;return r==="https"?o=`${o}?protocol=${r}&offset=${a}&limit=${s}`:r==="ftps"&&(o=`${o}?offset=${a}&limit=${s}`),this.get(o)};getUserBatchJobProgress=async e=>this.get(`/batch/progress/${e}`);getUserBatchJobDescription=async e=>this.get(`/batch/me/job_description/${e}?instrument_name=true`)}

81class q8 extends ja{static _default;static default(){return q8._default||(q8._default=new q8)}getEquitiesTimeSeries=async(e,n)=>{let r=`/timeseries.get_range?${Gl.stringify(e)}`;r=`${r}&encoding=json&compression=none&stype_in=raw_symbol&stype_out=instrument_id&pretty_px=true`;const a={baseURL:void 0,cancelToken:n,auth:{username:"preview",password:"preview"}};return this.get(r,a)};getBatchJobCost=async e=>this.get(`/batch/cost/${e}`)}const HRe=["route","street_address","subpremise"],Pz=()=>globalThis.google?.maps;class H8 extends ja{static _default;placesLibrary;predictionCache=new Map;static default(){return H8._default||(H8._default=new H8)}get isLoaded(){return!!Pz()?.importLibrary}async waitForGoogleMapsAvailable(){return new Promise((e,n)=>{try{const r=setInterval(()=>{this.isLoaded&&(clearInterval(r),e())},100)}catch(r){n(r)}})}async ensurePlacesLibrary(){if(await this.waitForGoogleMapsAvailable(),!this.placesLibrary){const e=Pz();if(!e?.importLibrary)throw new Error("Google Maps API is not loaded");this.placesLibrary=await e.importLibrary("places")}return this.placesLibrary}createAutocompleteSessionToken=async()=>{const{AutocompleteSessionToken:e}=await this.ensurePlacesLibrary();return new e};mapPlacePrediction(e){return{placeId:e.placeId,description:e.text.text,mainText:e.mainText?.text??e.text.text,secondaryText:e.secondaryText?.text??""}}placeAutocomplete=async(e,n,r)=>{const{AutocompleteSuggestion:a,AutocompleteSessionToken:s}=await this.ensurePlacesLibrary(),o=n??new s,l={input:e,sessionToken:o,includedPrimaryTypes:[...HRe],...r?{includedRegionCodes:[r]}:{}},{suggestions:c}=await a.fetchAutocompleteSuggestions(l);return this.predictionCache.clear(),c.reduce((d,f)=>{const p=f.placePrediction;return p?(this.predictionCache.set(p.placeId,p),[...d,this.mapPlacePrediction(p)]):d},[])};getGoogleAddress=async e=>{const n=this.predictionCache.get(e);if(!n)throw new Error(`No cached place prediction found for placeId: ${e}`);const r=n.toPlace();return await r.fetchFields({fields:["addressComponents","adrFormatAddress"]}),!r.addressComponents||!r.adrFormatAddress?null:{addressComponents:r.addressComponents.map(a=>({longText:a.longText??"",shortText:a.shortText??"",types:[...a.types]})),adrFormatAddress:r.adrFormatAddress}}}class z8 extends ja{static _default;static default(){return z8._default||(z8._default=new z8)}getInstrumentProductList=async e=>this.get(encodeURI(`/instrument/instrument_list?${Gl.stringify(e)}`))}class V8 extends ja{static _default;static default(){return V8._default||(V8._default=new V8)}getUserInvitationStatus=async e=>this.get(encodeURI(`/registration/invitation/peek?invitation_code=${e}`));registrationStart=async({email:e,password:n,invitation_code:r})=>{const s=encodeURI(`/registration/session/${r}/start`),o={email:e,password:n};return this.post(s,o,Nr)};registrationContact=async({invitation_code:e,...n})=>{const a=encodeURI(`/registration/session/${e}/contact`);return this.post(a,n,Nr)};registrationPayment=async({contactInfo:e,invitationCode:n,same:r})=>{const s=encodeURI(`/registration/session/${n}/billing?same=${r}`),o=r===0?e:void 0;return this.post(s,o,Nr)};registrationComplete=async({invitationCode:e,payment_method:n})=>{const r=encodeURI(`/registration/session/${e}/complete?payment_method=${n}`);return this.post(r,void 0,Nr)};getTeamInvitationStatus=async e=>{const n=encodeURI(`/registration/teams/invitation/peek?invitation_code=${e}`);return this.get(n)};

81teamRegistrationComplete=async({email:e,full_name:n,invitation_code:r,password:a})=>{const s=`/registration/teams/${r}/complete`,o={email:e,password:a,full_name:n};return this.post(s,o,Nr)};teamRegistrationClaimTrial=async e=>this.post("/registration/teams/claim_trial",e,Nr)}class G8 extends ja{static _default;static default(){return G8._default||(G8._default=new G8)}postILAs=async e=>{const n=new FormData;Array.from(e.files).forEach(a=>{n.append("files",a)});const r=ut().utc().format("YYYY-MM-DD");return this.post(`/licensing/me/files/${e.provider}/${e.name}/external/${r}`,n,Uke)};getAvailableLicenses=async()=>this.get("/licensing/available_licenses");createSurvey=async e=>this.post("/licensing/me/survey",e)}class W8 extends ja{static _default;static default(){return W8._default||(W8._default=new W8)}publicRegistrationRegister=async e=>(await this.post("/registration/register",e,Bke)).data;getPublicRegistrationContact=async()=>this.get("/registration/register/contact");savePublicRegistrationContact=async e=>this.post("/registration/register/contact",e,Nr);publicRegistrationPayment=async e=>{const n=encodeURI(`/registration/register/billing?same=${e.same}`),r=e.same===0?e.contactInfo:void 0;return this.post(n,r,Nr)};publicRegistrationComplete=async e=>{const n=encodeURI(`/registration/register/complete?payment_method=${e.payment_method}`);return this.post(n,void 0,Nr)}}class Y8 extends ja{static _default;static default(){return Y8._default||(Y8._default=new Y8)}getTeamMembers=async e=>this.get("/teams/me/members");teamInviteNewMembers=async(e,n)=>this.post("/teams/me/members/invitations",n,Nr);teamUpdateInvitation=async(e,n)=>this.put("/teams/me/members/invitations",n,Nr);teamUpdateMember=async(e,n)=>(await this.patch(`/teams/me/members/${n.user_id}`,n,Nr),!0);teamDeleteMember=async(e,n)=>(await this.delete(`/teams/me/members/${n}`),!0);teamResendInvitation=async(e,n)=>this.post(`/teams/me/members/invitations/resent/${encodeURIComponent(n)}`,{},Nr);teamCancelInvitation=async(e,n)=>(await this.delete(`/teams/me/members/invitations/${encodeURIComponent(n)}`),!0);teamGetDetail=async e=>this.get("/teams/me");teamUpdateDetail=async(e,n)=>this.patch("/teams/me",n,Nr);teamTransferOwnership=async(e,n)=>(await this.put(`/teams/me/members/owner/${n}`),!0);teamGetDeleteStatus=async e=>this.get("/teams/me/delete_status");teamDelete=async e=>(await this.delete("/teams/me"),!0);teamGetTrial=async e=>this.get("/teams/me/trial");teamCloseTrial=async(e,n)=>

81{await this.post(`/registration/teams/close_trial?payment_method=${n.payment_method}`,{},Nr)}}class X8 extends ja{static _default;static default(){return X8._default||(X8._default=new X8)}getUserTutorials=async()=>this.get("/users/me/tutorials");confirmUserTutorial=async e=>this.post(`/users/me/tutorials/${e}/completed`)}class K8 extends ja{static _default;static default(){return K8._default||(K8._default=new K8)}updateUserPassword=async e=>(await Yt.put("/users/me/password",e,Nr)).data;getUserProfile=async()=>(await Yt.get("/users/me")).data;getUserContact=async()=>(await Yt.get("/teams/me/contact")).data;getUserSettings=async()=>(await Yt.get("/users/me/settings")).data;updateUserName=async e=>(await Yt.put("/users/me/name",e,Nr)).data;updateUserContact=async e=>(await Yt.put("/teams/me/contact",e,Nr)).data;updateUserSettings=async e=>(await Yt.put("/users/me/settings",e,Nr)).data;getUserNewEmailResponse=async()=>(await Yt.get("/users/me/email_update_intent")).data;postUserNewEmail=async e=>(await Yt.post("/users/me/email_update_intent",e,Nr)).data;deleteUserNewEmailIntent=async()=>(await Yt.delete("/users/me/email_update_intent",Nr)).data;getUserEmailsByRequestId=async e=>{const n=`/users/email_update?request_id=${e}`;return(await Yt.get(n)).data};confirmUserEmail=async e=>(await Yt.put("/users/email_update",e,Nr)).data}const zRe="Basic cHJldmlldzo=",VRe=["/timeseries.get_range","/metadata.list_unit_prices","/metadata.get_billable_size"];Yt.interceptors.request.use(t=>{const e=t.url;let n=!1;return VRe.forEach(r=>{e&&e.indexOf(r)>-1&&(n=!0)}),n&&(t.headers.Authorization=zRe),t},t=>Promise.reject(t));Yt.interceptors.response.use(t=>t,t=>(ske(t),Promise.reject(t)));const GRe=t=>{let e="https://api.databento.com";return e=e.replace("https","wss"),e=e.replace("http","ws"),e=e.endsWith("/")?`${e}v0`:`${e}/v0`,e};GRe();(()=>{const t="https://api.databento.com",e=t.endsWith("/")?`${t}v0`:`${t}/v0`;Yt.defaults.baseURL=e,Yt.defaults.withCredentials=!0,Yt.defaults.timeout=300*1e3,Yt.defaults.transformResponse=[n=>{if(typeof n=="string")try{n=FK.parse(n)}catch{}return n}]})();const n4=(t,e,n="")=>{let r="";return e&&e.length>0&&e[0]!==n&&e.forEach(a=>{r+=`&${t}=${a}`}),r},WRe=async t=>{let e=`/dataset/search?q=${encodeURIComponent(t.qs)}`;return e+=n4("asset_class",t.assetClass&&t.assetClass.length===1&&t.assetClass[0]==="Equities"?["Equities","ETF"]:t.assetClass,"ALL"),e+=n4("category",t.category),e+=n4("schema",t.schema),e+=n4("venue",t.publisher),e+=n4("vendors",t.vendors),e+=n4("region",t.region),t.dataset&&t.dataset.length>0&&t.dataset.forEach(r=>{e+=`&dataset=${r}`}),t.availableHistoryDays&&(e+=`&available_history=${t.availableHistoryDays}`),(await Yt.get(e)).data},YRe=async({offset:t=0,limit:e=3})=>{const n=`/dataset/namecards?offset=${t}&limit=${e}`;return(await Yt.get(n,{baseURL:void 0})).data},XRe=async()=>{const t=qn.apiCDN().resolveURL("/v0/dataset/catalog"),e=await Yt.get(t,i3);return e.data={...e.data,data:e.data.data.map(n=>({...n,recommend_instruments:n.recommend_instruments.map(r=>({datasetId:r.dataset_id,datasetName:r.dataset_name,symbol:r.symbol,displaySymbol:r.display_symbol,instrumentName:r.instrument_name,assetClass:r.asset_class,securityType:r.security_type,selected:!1}))}))},e.data},KRe=async(t={})=>{const e=qn.apiCDN().resolveURL("/v0/dataset/backlog");return(await Yt.get(e,i3)).data},mt={autoCompleteSearch:WRe,getDatasetNameCards:YRe,getDatasetCatalogs:XRe,getDatasetBacklog:KRe,...j8.default(),...P8.default(),...O8.default(),...L8.default(),...U8.default(),...k8.default(),...H8.default(),...R8.default(),...N8.default(),...$8.default(),...M8.default(),...V8.default(),...z8.default(),...q8.default(),...X8.default(),...D8.default(),...B8.default(),...T8.default(),...Y8.default(),...K8.default(),...W8.default(),...G8.default(),...N5.default(),...F8.default()},Tte=()=>async t=>{Lt(l8,t);try{const e=await mt.getBannerAlerts();t(j1e(e)),Gt(l8,t)}

81catch(e){const n=Bt(e);return ln(l8,t,n.detail),!1}return!0},ZRe=t=>async e=>{Lt(c8,e);try{await mt.dismissBannerAlert(t),Gt(c8,e),await e(Tte())}catch(n){const r=Bt(n);return ln(c8,e,r.detail),!1}return!0},JRe=()=>async t=>{Lt(Ih,t);try{const e=await mt.getUserApiKeys();t($0e(e)),Gt(Ih,t)}catch(e){const n=Bt(e);return ln(Ih,t,n.detail),!1}return!0},QRe=t=>async e=>{Lt(Z4,e);try{await mt.createUserApiKey(t);const n=await mt.getUserApiKeyByName(t.name);e(q0e(n)),Gt(Z4,e)}catch(n){const r=Bt(n);return ln(Z4,e,r.detail),!1}return!0},eNe=t=>async e=>{Lt(J4,e);try{const{originKeyName:n,payload:r}=t;await mt.updateUserApiKey(n,r);const a=r.new_name||n,{data:s}=await mt.getUserApiKeyByName(a);e(NX({apiKey:s,originKeyName:n})),Gt(J4,e)}catch(n){const r=Bt(n);return ln(J4,e,r.detail),!1}return!0},tNe=t=>async e=>{Lt(Q4,e);try{await mt.rotateUserApiKey(t);const{data:n}=await mt.getUserApiKeyByName(t);e(NX({apiKey:n,originKeyName:t})),Gt(Q4,e)}catch(n){const r=Bt(n);return ln(Q4,e,r.detail),!1}return!0},nNe=t=>async e=>{Lt(e5,e);try{const{keyName:n}=t;await mt.deleteUserApiKey(n),e(H0e(t)),Gt(e5,e)}catch(n){const r=Bt(n);return ln(e5,e,r.detail),!1}return!0},gM="databento_user_cart",rNe=t=>{localStorage.setItem(gM,t)},Oz=()=>localStorage.getItem(gM),aNe=()=>{localStorage.setItem(gM,"")},kte="databento-token-info",sNe=t=>{localStorage.setItem(kte,JSON.stringify(t))},oC=()=>{localStorage.setItem(kte,"")},vM="intercom-user-hmac",iNe=()=>localStorage.getItem(vM),oNe=t=>{t&&localStorage.setItem(vM,t)},lNe=()=>{localStorage.removeItem(vM)},Rte="databento-otp-countdown",S9t=t=>{localStorage.setItem(Rte,JSON.stringify(t))},E9t=()=>{const t=localStorage.getItem(Rte);return t?JSON.parse(t):null}

81,cNe="databento-us-equities-default-dataset",Nte=t=>`databento-default-dataset:${t}`,Dte=["OPRA.PILLAR","XEEE.EOBI","GLBX.MDP3","XEUR.EOBI","IFEU.IMPACT","NDEX.IMPACT","IFUS.IMPACT","IFLL.IMPACT","XCBF.PITCH","DBIX.CORE","MSCI.CGIF","FTSE.CGIF","INAV.CGIF","MSTAR.CGIF","CCCY.CGIF","CGI.CGIF"],uNe=(t,e)=>{if(t!=="us-equities")return;let n=e;Dte.includes(e)&&(n=C3["us-equities"]),localStorage.setItem(Nte(t),n)},Px=t=>{const e=wR(t)??C3["us-equities"],n=Nte(t);if(!localStorage.getItem(n)){const a=localStorage.getItem(cNe);a&&localStorage.setItem(n,a)}let r=localStorage.getItem(n);return r&&Dte.includes(r)&&(uNe("us-equities",e),r=e),r&&r.trim().length>0?r:e},I9t=()=>Px("us-equities");class yM{static aid=(function*(){for(let e=0;e<1/0;e++)yield e})();_key;_aid=yM.aid.next().value;_eid=(function*(e){for(let n=0;n<1/0;n++)yield(e<<16|n).toString(16).padStart(8,"0")})(this._aid);_dispatch;_events;_thunk;constructor(e){this._key=e}getKey(...e){return this._key}events(){return this._events||(this._events=this.createEvents())}getThunk(){return this._thunk||(this._thunk=this.createThunk())}createEvents(){return new EY}createThunk(){return(...e)=>n=>this.exec(n,...e)}async exec(e,...n){const r=this._eid.next().value,a=this.getKey(...n);let s;try{this.events().getChannel("init").notify({type:"init",eid:r,key:a,target:this,params:n,dispatch:e}),s=await this.processRequest(e,...n),this.events().getChannel("response").notify({type:"response",eid:r,key:a,target:this,params:n,response:s,dispatch:e});const o=await this.processResponse(s,...n);return this.events().getChannel("resolve").notify({type:"resolve",eid:r,key:a,target:this,params:n,response:s,resolution:o,dispatch:e}),o}catch(o){const l=await this.processError(o,...n);return this.events().getChannel("reject").notify({type:"reject",eid:r,key:a,target:this,params:n,response:s,rejection:l,error:o,dispatch:e}),l}}}function dNe(t){return t.toLowerCase()}var fNe=[/([a-z0-9])([A-Z])/g,/([A-Z])([A-Z][a-z])/g],pNe=/[^A-Z0-9]+/gi;function hNe(t,e){e===void 0&&(e={});for(var n=e.splitRegexp,r=n===void 0?fNe:n,a=e.stripRegexp,s=a===void 0?pNe:a,o=e.transform,l=o===void 0?dNe:o,c=e.delimiter,d=c===void 0?" 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Ideal for web apps, brokerages, systematic trading, and cloud-based environments.","IFEU.IMPACT":"Leverage ICE Europe Commodities iMpact, the primary data feed for crude and refined oil futures trading, natural gas options, coal options, and more.","IFLL.IMPACT":"Get market data for financial products traded on ICE Europe Commodities, including short-term interest rate (STIR) futures contracts (Euribor, FTSE 100, SONIA, Gilts, etc.)","IFUS.IMPACT":"Access the primary data feed for ICE Futures US, one of the most significant exchanges for US-based agricultural and financial derivatives.","INCR.IQX":"IntelligentCross IQX is the primary market data feed for IntelligentCross, an AI-powered Alternative Trading System (ATS) that optimizes trading in US equities.","INAV.CGIF":"Intraday indicative values (iNAV, IIV, IOPV) - real-time fair value estimates for 200+ ETFs, ETPs, and structured products.","MAIN.CGIF":"Cboe Global Indices MAIN carries the flagship benchmarks - the S&P 500 (SPX) and Cboe Volatility Index (VIX) - plus related volatility and skew measures.","MSCI.CGIF":"Get MSCI's global, regional, and emerging-market benchmark index series, widely used for international portfolio construction and reporting.","FTSE.CGIF":"Get FTSE 100 and FTSE Russell's US style benchmarks, including the Russell 1000, Russell 2000, and their growth and value variants.","MSTAR.CGIF":"Get Morningstar's broad market, sector, and style-box index series, used across the fund and ETF benchmarking industry.","CCCY.CGIF":"Real-time spot cryptocurrency reference prices, derived from consolidated best bid and offer data across major crypto exchanges.","CGI.CGIF":"Access Cboe's proprietary buy-write, put-write, and options-overlay strategy indices, plus implied correlation and dispersion series.","MEMX.MEMOIR":"Get L3 historical stock data sourced directly from MEMX over Databento’s normalized API","NDEX.IMPACT":"Spot contracts, outrights, spreads, and options data covering European energy markets. Get natural gas historical data, energy prices historical data, and more.","OCEA.MEMOIR":"Get full-depth trade and order book data for US equities on Blue Ocean ATS (BOATS), a leading venue for overnight and 24-hour equity trading.","OPRA.PILLAR":"Databento's OPRA (Options Price Reporting Authority) dataset provides consolidated trades and NBBO across US options venues, covering all 17 national exchanges.","XASE.PILLAR":"Access small and mid-cap insights into all price levels, aggressor sides, imbalances, and more with NYSE American Integrated's proprietary market data feed.","XBOS.ITCH":"Access L3, full order book data from the Nasdaq Texas market over Databento’s normalized API","XCBF.PITCH":"Get full order book coverage of volatility, corporate bond index, equity index, and cryptocurrency derivatives from Cboe Futures Exchange (CFE).","XCHI.PILLAR":"Access L3, full order book data from NYSE Texas, the leading exchange for option-contingent stock trades","XCIS.BBO":"","XCIS.PILLAR":"","XCIS.TRADES":"","XCIS.TRADESBBO":"Get real-time, top-of-book and last sale NYSE National data without exchange license fees","XEEE.EOBI":"Trades and order book data for power, natural gas, environmental, agricultural, and freight products traded on the European Energy Exchange.","XEUR.EOBI":"Trades and order book data for all Eurex products via Databento's PCAP, Live and Historical API, and batch download services.","XNAS.BASIC":"Nasdaq Basic with Nasdaq Last Sale (NLS) Plus is the proprietary data feed that provides top-of-book and trade data for Nasdaq market participants.","XNAS.ITCH":"Get Nasdaq real-time and historical data with support for fast market replay at over 19 million book updates per second. Test our data for free with only 4 lines of code.","XNYS.BBO":"","XNYS.PILLAR":"Get a granular view of the NYSE equities market with NYSE Integrated is a proprietary market data feed, including OHLCV, MBO, Trades, Imbalance, and more.","XNY

127S.TRADES":"Get last sale (trades) information from the NYSE, including off-exchange trades reported to the FINRA/NYSE TRF.","XPSX.ITCH":"Access Nasdaq PSX’s L3, full order book feed over Databento’s historical API"},i$e={"ARCX.PILLAR":"NYSE Arca Integrated | Real-time and historical ETF data feed","BATS.PITCH":"Cboe BZX Depth | Historical API for Cboe equities, previously BATS Exchange","BATY.PITCH":"Cboe BYX Depth | Historical API for Cboe equities, previously BATS Exchange","EDGA.PITCH":"Cboe EDGA Depth | Cboe EDGA equities historical API","EDGX.PITCH":"Cboe EDGX Depth | Cboe EDGX equities historical API","EPRL.DOM":"MIAX Pearl Depth | MIAX Pearl Equities L3 historical API","EQUS.SUMMARY":"Databento US Equities Summary","FINN.NLS":"FINRA/Nasdaq TRF Carteret | Trade Reporting Facility for off-exchange trades","FINY.TRADES":"FINRA/NYSE TRF | Trade Reporting Facility for off-exchange trades","GLBX.MDP3":"CME Globex MDP 3.0 | CME futures historical & live data API","IEXG.TOPS":"IEX TOPS | Top of book market data API","IFEU.IMPACT":"ICE Europe Commodities iMpact | ICE commodity futures data API","IFLL.IMPACT":"ICE Europe Commodities Financials | ICE financial futures data API","IFUS.IMPACT":"ICE Futures US Market Data | Real-time & historical APIs","INCR.IQX":"IntelligentCross IQX Market Data | Customizable PCAPs delivery","INAV.CGIF":"Cboe Global Indices INAV | ETF iNAV and IOPV data API","MAIN.CGIF":"Cboe Global Indices MAIN | S&P 500 and VIX index data API","MSCI.CGIF":"Cboe Global Indices MSCI | MSCI global equity index data API","FTSE.CGIF":"Cboe Global Indices FTSE Russell | Global multi-asset index data API","MSTAR.CGIF":"Cboe Global Indices Morningstar | Morningstar index data API","CCCY.CGIF":"Cboe Global Indices CCCY | Crypto reference price data API","CGI.CGIF":"Cboe Global Indices CGI | Options strategy index data API","MEMX.MEMOIR":"MEMX MEMOIR Depth | MEMX L3 historical API","NDEX.IMPACT":"ICE Endex iMpact Feed | European energy futures data API","OPRA.PILLAR":"OPRA | Real-time and historical equity options price data API","XASE.PILLAR":"NYSE American Integrated | NYSE order imbalance data and more","XBOS.ITCH":"Nasdaq Texas TotalView-ITCH | Nasdaq Texas L3 historical API","XCBF.PITCH":"Cboe Futures Exchange | CFE historical & live futures data","XCHI.PILLAR":"NYSE Texas Integrated | Real-time L3 data without license fees","XCIS.BBO":"NYSE National BBO | Real-time top of book data without license fees","XCIS.PILLAR":"","XCIS.TRADES":"","XCIS.TRADESBBO":"NYSE National Trades and BBO | Free to license NYSE real-time data","XEEE.EOBI":"European Energy Exchange (EEX) Market Data | Real-time & historical APIs","XEUR.EOBI":"Eurex EOBI Market Data Feed | Historical + live APIs, PCAPs & more","XNAS.BASIC":"Nasdaq Basic & Nasdaq Last Sale (NLS) Plus real-time feed","XNAS.ITCH":"Nasdaq TotalView-ITCH | Live and historical Nasdaq data API","XNYS.BBO":"NYSE BBO and Trades","XNYS.PILLAR":"NYSE Integrated | NYSE historical data API","XPSX.ITCH":"Nasdaq PSX TotalView-ITCH | Nasdaq PSX historical API"},o$e={"GLBX.MDP3":{Options:"Download CME {{ productName }} ({{ symbol }}) data in binary, CSV, and JSON flat files. Simplify your options trading workflow with our Python APIs.",Futures:"Download individual and continuous contracts for CME {{ productName }} ({{ symbol }}). Simplify your futures trading workflow with our Python APIs.",DEFAULT:"Download CME {{ productName }} ({{ symbol }}) data in binary, CSV, and JSON flat files. Simplify your trading workflow with our Python APIs."},"IFEU.IMPACT":{Options:"Download ICE {{ productName }} ({{ symbol }}) data in binary, CSV, and JSON flat files. Real-time and historical prices, option chain data.",Futures:"Download individual and continuous contracts for ICE {{ productName }} ({{ symbol }}) in binary, CSV, and JSON flat files.",DEFAULT:"Download ICE {{ productName }} ({{ symbol }}) in binary, CSV, and JSON flat files."},"IFLL.IMPACT":{Options:"Download ICE {{ productName }} ({{ symbol }}) data in binary, CSV, and JSON flat files. Real-time and historical prices, option chain data.",Futures:"Download individual and continuous contracts for ICE {{ productName }} ({{ symbol }}) in binary, CSV, and JSON flat files.",DEFAULT:"Download ICE {{ productName }} ({{ symbol }}) in binary, CSV, and JSON flat files."},"IFUS.IMPACT":{Options:"Download ICE US {{ productName }} ({{ symbol }}) data in binary, CSV, and JSON flat files. Real-time and historical prices, option chain data.",Futures:"Download individual and continuous contracts for ICE US {{ productName }} ({{ symbol }}) in binary, CSV, and JSON flat files.",DEFAULT:"Download ICE US {{ productName }} ({{ symbol }}) in binary, CSV, and JSON flat files."},"NDEX.IMPACT":{Options:"Download ICE {{ productName }} ({{ symbol }}) data in binary, CSV, and JSON flat files. Real-time and historical prices, option chain data.",Futures:"Download individual and continuous contracts for ICE {{ productName }} ({{ symbol }}) in binary, CSV, and JSON flat files.",DEFAULT:"Download ICE {{ productName }} ({{ symbol }}) in binary, CSV, and JSON flat files."},"OPRA.PILLAR":{DEFAULT:"Download the {{ productName }} ({{ symbol }}) option chain in multiple data schemas, including MBP, OHLC, and more, from Databento's historical and real-time APIs."},"XNAS.ITCH":{DEFAULT:"Download {{ productName }} ({{ symbol }}) {{ secTypeLower }} data. Utilize Databento's stock APIs to access historical and real-time data in binary, CSV, and JSON."},"MAIN.CGIF":{DEFAULT:"Download live and historical index prices for {{ productName }} ({{ symbol }}) from Cboe Global Indices MAIN, the flagship benchmark and volatility index feed."},"CGI.CGIF":{DEFAULT:"Download live and historical index prices for {{ productName }} ({{ symbol }}) from Cboe's strategy index series - buy-write, put-write, and options overlays."},"MSCI.CGIF":{DEFAULT:"Download live and historical index prices for {{ productName }} ({{ symbol }}), part of MSCI's global, regional, and emerging-market benchmark series."},"FTSE.CGIF":{DEFAULT:"Download live and historical index prices for {{ productName }} ({{ symbol }}) from FTSE Russell's UK and US benchmark index series."},"MSTAR.CGIF":{DEFAULT:"Download live and historical index prices for {{ productName }} ({{ symbol }}), part of Morningstar's broad market, sector, and style-box index series."},"CCCY.CGIF":{DEFAULT:"Download real-time and historical reference prices for {{ productName }} ({{ symbol }}), derived from consolidated best bid and offer data across major crypto exchanges."},"INAV.CGIF":{DEFAULT:"Download real-time and historical intraday indicative values (iNAV, IIV, IOPV) for {{ productName }} ({{ symbol }}), plus 200+ other ETFs, ETPs, and structured products."}},l$e={"GLBX.MDP3":{DEFAULT:"CME {{ productName }} ({{ symbol }}) Historical Data"},"XEER.EOBI":{DEFAULT:"EEX {{ productName }} ({{ symbol }}) Historical Data"},"XEUR.EOBI":{DEFAULT:"Eurex {{ productName }} ({{ symbol }}) Historical Data"},"IFEU.IMPACT":{DEFAULT:"ICE {{ productName }} ({{ symbol }}) Data"},"IFLL.IMPACT":{DEFAULT:"ICE {{ productName }} ({{ symbol }}) Data"},"IFUS.IMPACT":{DEFAULT:"ICE US {{ productName }} ({{ symbol }}) Data"},"NDEX.IMPACT":{DEFAULT:"ICE {{ productName }} ({{ symbol }}) Data"},"OPRA.PILLAR":{DEFAULT:"{{ symbol }} Option Chain - {{ productName }} Data"},"XCBF.PITCH":{DEFAULT:"{{ productName }} ({{ symbol }}) Data"},"XNAS.ITCH":{DEFAULT:"{{ symbol }} Historical {{ secType }} Price Data - {{ productName }}"},"MAIN.CGIF":{DEFAULT:"{{ productName }} ({{ symbol }}) Data"},"CGI.CGIF":{DEFAULT:"{{ productName }} ({{ symbol }}) Data"},"MSCI.CGIF":{DEFAULT:"{{ productName }} ({{ symbol }}) Data"},"FTSE.CGIF":{DEFAULT:"{{ productName }} ({{ symbol }}) Data"},"MSTAR.CGIF":{DEFAULT:"{{ productName }} ({{ symbol }}) Data"},"CCCY.CGIF":{DEFAULT:"{{ productName }} ({{ symbol }}) Data"},"INAV.CGIF":{DEFAULT:"{{ productName }} ({{ symbol }}) Data"}},c$e="Cboe Global Indices provides live and historical index data from MAIN, CGI, FTSE Russell, MSCI, Morningstar, CCCY, and INAV under a single pricing plan.",u$e="Acce

127ss CME Group data sourced directly from raw feeds at colocation sites. Try out our market data APIs for Python, C++, and other applications for free.",d$e="Leverage ICE Europe Commodities iMpact, the primary data feed for crude and refined oil futures trading, natural gas options, coal options, and more.",f$e="Spot contracts, outrights, spreads, and options data covering European energy markets. Get natural gas historical data, energy prices historical data, and more.",p$e="Databento's OPRA (Options Price Reporting Authority) dataset provides consolidated trades and NBBO across US options venues, covering all 17 national exchanges.",h$e={"us-equities":"Databento US Equities provides live and historical data from 15 US equities exchanges and 30 ATSs under a single pricing plan.",cgif:c$e,cme:u$e,ifeu:d$e,ndex:f$e,opra:p$e},m$e="Cboe Global Indices",g$e="CME Globex MDP 3.0",v$e="ICE Europe Commodities iMpact",y$e="ICE Endex iMpact",b$e="OPRA",x$e={"us-equities":"Databento US Equities",cgif:m$e,cme:g$e,ifeu:v$e,ndex:y$e,opra:b$e},Are={ETF:{title:"ETF",lower:"ETF"},Equities:{title:"Stock",lower:"stock"},Futures:{title:"Futures",lower:"futures"},Options:{title:"Options",lower:"options"}};class Kr{static _META_DESCRIPTION_SELECTORS=[{name:"description"},{name:"twitter:description"},{property:"og:description"}];static _META_TITLE_SELECTORS=[{name:"title"},{name:"twitter:title"},{property:"og:title"}];static setAllMetaTags(e,n){if(e==="title"){document.title=n;for(const r of this._META_TITLE_SELECTORS)this.setMetaTag({...r,content:n})}if(e==="description")for(const r of this._META_DESCRIPTION_SELECTORS)this.setMetaTag({...r,content:n})}static setMetaTag({name:e,property:n,content:r}){const a=document.querySelector(`meta[name="${e}"]`);if(a){a.setAttribute("content",r);return}const s=document.querySelector(`meta[property="${n}"]`);if(s){s.setAttribute("content",r);return}const o=document.createElement("meta");e&&o.setAttribute("name",e),n&&o.setAttribute("property",n),o.setAttribute("content",r),document.head.appendChild(o)}static removeMetaTag(e){const n=document.querySelector(`meta[name="${e}"]`);n&&n.remove()}static getDatasetMetaDescription(e){const n=s$e[e];return n||console.warn(`databento-seo: Dataset meta description is not found for ${e}`),n}static getServiceMetaDescription(e){const n=h$e[e];return n||console.warn(`databento-seo: Service meta description is not found for ${e}`),n}static getDatasetTitleTag(e){const n=i$e[e];return n||console.warn(`databento-seo: Dataset title tag is not found for ${e}`),n}static getServiceTitleTag(e){const n=x$e[e];return n||console.warn(`databento-seo: Service title tag is not found for ${e}`),n}static getProductMetaCopy(e,n,r,a="",s){const o=l$e[e];let l="{{ productName }} ({{ symbol }}) | {{ datasetName }}";o?l=r&&r in o?o[r]:o.DEFAULT:console.warn(`databento-seo: Missing product title tag template for ${e}`);const c=o$e[e];let d="Browse {{ productName }} ({{ symbol }}) market data from the {{ datasetName }} dataset. Get instant pricing estimates and make batch downloads of binary, CSV, and JSON flat files.";c?d=r&&r in c?c[r]:c.DEFAULT:console.warn(`databento-seo: Missing product meta description template for ${e}`);const f=r&&Are[r],p={"{{ datasetName }}":n,"{{ productName }}":s,"{{ secType }}":f?.title||"","{{ secTypeLower }}":f?.lower||"","{{ symbol }}":a},g=Kr._replaceTemplate(l,p,e),y=Kr._replaceTemplate(d,p,e);return{title:g,desc:y}}static _replaceTemplate(e,n,r){const a=new RegExp(Object.keys(n).join("|"),"g"),s=e.replace(a,l=>n[l]).replace(/\s{2,}/g," ").trim(),o=s.match(/{{\s.+?\s}}/g);return o&&console.warn(`databento-seo: Missing replacement values in template for ${r}: ${o}`),s}}const QM=t=>(t=t.replace(/futures/gi,"futures"),t=t.replace(/options/gi,"options"),t=t.replace(/etf/gi,"etf"),t=t.replace(/other/gi,"other"),t=t.replace(/equities/gi,"equities"),t=t.replace(/\/equities\//gi,"/stocks/"),t);class i0{static setCanonical(e){const n=document.querySelector('link[rel="canonical"]');let r=e||window.location.href;if(r=QM(r),r=r.replace(/\/+$/,""),n)n.setAttribute("href",r);else{const a=document.createElement("link");a.rel="canonical",a.href=r,document.head.appendChild(a)}Kr.setMetaTag({property:"og:url",content:r})}static removeCanonical(){const e=document.querySelector('link[rel="canonical"]');e&&document.head.removeChild(e)}}class C0{static _setSchemaMarkup(e,n){if(e){const r=document.createElement("script");r.dataset.id=n,r.type="application/ld+json",r.text=typeof e=="string"?e:JSON.stringify(e),document.head.appendChild(r)}}static _removeSchemaMarkup(e){const n=document.querySelectorAll(`script[data-id="${e}"]`);

127n&&n.forEach(r=>{document.head.removeChild(r)})}}class Rv extends C0{static BREADCRUMB_DATA_ATTRIBUTE_ID="breadcrumb-schema-markup";static setSchemaMarkup(e){const r={"@context":"https://schema.org","@type":"BreadcrumbList",itemListElement:e.map(({name:a,url:s},o)=>({"@type":"ListItem",position:o+1,name:a,item:QM(s)}))};C0._setSchemaMarkup(r,Rv.BREADCRUMB_DATA_ATTRIBUTE_ID)}static removeSchemaMarkup(){C0._removeSchemaMarkup(Rv.BREADCRUMB_DATA_ATTRIBUTE_ID)}}const w$e="ETF Market Data & APIs - NYSE Arca Integrated | Databento",C$e="ETP and ETF market data feed from NYSE Arca Integrated",_$e="https://databento.com/datasets/ARCX.PILLAR",S$e=`Access NYSE Arca Integrated market data feed for ETPs and ETFs with enhanced granularity and determinism not available via the SIPs or the Openbook feed.
128
129NYSE Arca Integrated is a proprietary data feed that provides full order book updates, including every quote and order at each price level, on the Arca market (formerly ArcaEX, the Archipelago Exchange). It operates on NYSE's Pillar platform and disseminates all order book activity in an order-by-order view of events, including trade executions, order modifications, cancellations, and other book updates.
130
131NYSE Arca is the leading US exchange for listing and trading exchange-traded funds (ETFs), offering the narrowest quoted spreads and maintaining the highest percentage of time (71.1%) at the NBBO for all U.S. ETFs. As of January 2025, it represented approximately 9.96% of the average daily volume (ADV) across all exchange-listed US securities, including those listed on Nasdaq, other NYSE venues, and Cboe exchanges.
132
133With L3 granularity, NYSE Arca Integrated captures information beyond the L1, top-of-book data available through SIP feeds, enabling accurate modeling of book imbalances, quote lifetimes, and queue dynamics. This data includes explicit trade aggressor side, odd lots, and imbalances. Auction imbalances offer valuable insights into NYSE Arca’s opening and closing auctions by providing details like imbalance quantity, paired quantity, imbalance reference price, and book clearing price.
134
135Full depth of book data on Arca is particularly valuable over the SIPs for modeling pre-market, after-market and sweep-to-fill liquidity on U.S. exchange-traded products (ETPs) and ETFs.
136
137Historical data is available for usage-based rates or with any [Databento US Equities](https://databento.com/catalog/us-equities) subscription. Visit our [pricing page](https://databento.com/pricing) for more details.
138
139Asset class: Equities
140
141Origin: Directly captured at Equinix NY4 (Secaucus, NJ) with an FPGA-based network card and hardware timestamping. Synchronized to UTC with PTP.
142
143Supported data encodings: DBN, CSV, JSON ([Learn more](https://databento.com/docs/api-reference-historical/basics/encodings))
144
145Supported market data schemas: MBO, MBP-1, MBP-10, TBBO, Trades, BBO-1s, BBO-1m, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Imbalance, Statistics, Status ([Learn more](https://databento.com/docs/schemas-and-data-formats))
146
147Resolution: Immediate publication, nanosecond-resolution timestamps`,E$e="Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",I$e="2017-05-21/..",A$e="United States",T$e={"@type":"Dataset","@id":"https://databento.com/equities",name:"Databento US Equities Market Data and APIs",url:"https://databento.com/equities",description:`Breadth of coverage:
148  14,160 products
149
150  Asset class(es):
151  Equities
152
153  Origin: Directly captured at Equinix NY4 (Secaucus, NJ) with an FPGA-based network card and hardware timestamping. Synchronized to UTC with PTP.
154
155  Supported data encodings:
156  DBN, CSV, JSON [Learn more](https://databento.com/docs/api-reference-historical/basics/encodings)
157
158  Supported market data schemas:
159  MBO, MBP-1, MBP-10, TBBO, Trades, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Imbalance [Learn more](https://databento.com/docs/schemas-and-data-formats)
160
161  Resolution:
162  Immediate publication, nanosecond-resolution timestamps
163  `,conditionsOfAccess:"Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",temporalCoverage:"2018-05-01/..",spatialCoverage:"United States",includedInDataCatalog:{"@type":"DataCatalog","@id":"https://databento.com#data-catalog",name:"Databento",url:"https://databento.com",provider:{"@id":"https://databento.com/about#organization"}}},k$e={"@id":"https://databento.com/about#organization"},R$e=[{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"csv",fileFormat:"csv",contentUrl:"https://databento.com/datasets/ARCX.PILLAR"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"json",fileFormat:"json",contentUrl:"https://databento.com/datasets/ARCX.PILLAR"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"parquet",fileFormat:"parquet",contentUrl:"https://databento.com/datasets/ARCX.PILLAR"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"dbn",fileFormat:"dbn",contentUrl:"https://databento.com/datasets/ARCX.PILLAR"}],N$e=[{"@type":"Dataset",name:"NYSE Arca Integrated",description:"The NYSE Arca Integrated Feed provides a comprehensive order-by-order view of events in the NYSE Arca equities market. This single high-performance product integrates orders and trades in sequence, providing a more deterministic and transparent view of the order book and related activity.",publisher:{"@type":"Organization",name:"New York Stock Exchange (NYSE)",description:"The first all-electronic exchange in the U.S., NYSE Arca is the top U.S. exchange for the listing and trading of exchange-traded funds (ETFs) and also trades more than 8,000 U.S.-listed securities. The market offers fully automated, transparent open and closing auctions in ETFs and significant price improvement opportunities at the midpoint in all securities.",url:"https://www.nyse.com/markets/nyse-arca",sameAs:["https://en.wikipedia.org/wiki/NYSE_Arca","https://www.wikidata.org/wiki/Q10593835"]},url:"https://www.nyse.com/market-data/real-time/integrated-feed",includedInDataCatalog:{"@type":"DataCatalog","@id":"https://databento.com#data-catalog",name:"Databento",url:"https://databento.com",provider:{"@id":"https://databento.com/about#organization"}}}],D$e={"@context":"https://schema.org","@type":"Dataset","@id":"https://databento.com/datasets/ARCX.PILLAR",name:w$e,alternateName:C$e,url:_$e,description:S$e,conditionsOfAccess:E$e,temporalCoverage:I$e,spatialCoverage:A$e,isPartOf:T$e,creator:k$e,distribution:R$e,isBasedOn:N$e},P$e="Cboe BZX Depth Pitch Market Data and APIs | Databento",O$e="Cboe BZX Depth full order book and trades feed",M$e="https://databento.com/datasets/BATS.PITCH",L$e=`Breadth of coverage:
164  14,160 products
165
166  Asset class(es):
167  Equities
168
169  Origin: Directly captured at Equinix NY4 (Secaucus, NJ) with an FPGA-based network card and hardware timestamping. Synchronized to UTC with PTP.
170
171  Supported data encodings:
172  DBN, CSV, JSON [Learn more](https://databento.com/docs/api-reference-historical/basics/encodings)
173
174  Supported market data schemas:
175  MBO, MBP-1, MBP-10, TBBO, Trades, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Imbalance [Learn more](https://databento.com/docs/schemas-and-data-formats)
176
177  Resolution:
178  Immediate publication, nanosecond-resolution timestamps
179  `,j$e="Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",F$e="United States",B$e={"@type":"Dataset","@id":"https://databento.com/equities",name:"Databento US Equities Market Data and APIs",url:"https://databento.com/equities",description:`Breadth of coverage:
180  14,160 products
181
182  Asset class(es):
183  Equities
184
185  Origin: Directly captured at Equinix NY4 (Secaucus, NJ) with an FPGA-based network card and hardware timestamping. Synchronized to UTC with PTP.
186
187  Supported data encodings:
188  DBN, CSV, JSON [Learn more](https://databento.com/docs/api-reference-historical/basics/encodings)
189
190  Supported market data schemas:
191  MBO, MBP-1, MBP-10, TBBO, Trades, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Imbalance [Learn more](https://databento.com/docs/schemas-and-data-formats)
192
193  Resolution:
194  Immediate publication, nanosecond-resolution timestamps
195  `,conditionsOfAccess:"Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",temporalCoverage:"2018-05-01/..",spatialCoverage:"United States",includedInDataCatalog:{"@type":"DataCatalog","@id":"https://databento.com#data-catalog",name:"Databento",url:"https://databento.com",provider:{"@id":"https://databento.com/about#organization"}}},U$e={"@id":"https://databento.com/about#organization"},$$e=[{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"dbn",fileFormat:"dbn",contentUrl:"https://databento.com/datasets/BATS.PITCH"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"csv",fileFormat:"csv",contentUrl:"https://databento.com/datasets/BATS.PITCH"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"json",fileFormat:"json",contentUrl:"https://databento.com/datasets/BATS.PITCH"}],q$e=[{"@type":"Dataset",name:"Cboe BZX Depth Pitch",description:"Cboe Depth is available in Multicast and TCP PITCH and provides real-time, depth-of-book quotations and execution information. Multicast PITCH is offered with nearly half the latency of TCP PITCH and 20% fewer PITCH events. This is achieved by using binary messages (PITCH 2.0). Cboe offers a WAN-shaped and Gig-shaped version of the Multicast feed, both available from Cboe's primary datacenter. Members or market data recipients may choose one or more of the four Multicast PITCH feed options depending on their location and connectivity to Cboe.",publisher:{"@type":"Organization",name:"Cboe",url:"https://www.cboe.com/us/equities/",sameAs:["https://en.wikipedia.org/wiki/Cboe_Global_Markets","https://www.wikidata.org/wiki/Q107188457"]},url:"https://datashop.cboe.com/cboe-us-equities-pitch",sameAs:"https://www.cboe.com/market_data_services/us/equities/"}],H$e={"@context":"https://schema.org","@type":"Dataset","@id":"https://databento.com/datasets/BATS.PITCH",name:P$e,alternateName:O$e,url:M$e,description:L$e,conditionsOfAccess:j$e,spatialCoverage:F$e,isPartOf:B$e,creator:U$e,distribution:$$e,isBasedOn:q$e},z$e="Cboe BYX Depth Pitch Market Data and APIs | Databento",V$e="Cboe BYX Depth full order book and trades feed",G$e="https://databento.com/datasets/BATY.PITCH",W$e=`Breadth of coverage:
196  14,160 products
197
198  Asset class(es):
199  Equities
200
201  Origin: Directly captured at Equinix NY4 (Secaucus, NJ) with an FPGA-based network card and hardware timestamping. Synchronized to UTC with PTP.
202
203  Supported data encodings:
204  DBN, CSV, JSON [Learn more](https://databento.com/docs/api-reference-historical/basics/encodings)
205
206  Supported market data schemas:
207  MBO, MBP-1, MBP-10, TBBO, Trades, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Imbalance [Learn more](https://databento.com/docs/schemas-and-data-formats)
208
209  Resolution:
210  Immediate publication, nanosecond-resolution timestamps

211  `,Y$e="Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",X$e="United States",K$e={"@type":"Dataset","@id":"https://databento.com/equities",name:"Databento US Equities Market Data and APIs",url:"https://databento.com/equities",description:`Breadth of coverage:
212  14,160 products
213
214  Asset class(es):
215  Equities
216
217  Origin: Directly captured at Equinix NY4 (Secaucus, NJ) with an FPGA-based network card and hardware timestamping. Synchronized to UTC with PTP.
218
219  Supported data encodings:
220  DBN, CSV, JSON [Learn more](https://databento.com/docs/api-reference-historical/basics/encodings)
221
222  Supported market data schemas:
223  MBO, MBP-1, MBP-10, TBBO, Trades, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Imbalance [Learn more](https://databento.com/docs/schemas-and-data-formats)
224
225  Resolution:
226  Immediate publication, nanosecond-resolution timestamps
227  `,conditionsOfAccess:"Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",temporalCoverage:"2018-05-01/..",spatialCoverage:"United States",includedInDataCatalog:{"@type":"DataCatalog","@id":"https://databento.com#data-catalog",name:"Databento",url:"https://databento.com",provider:{"@id":"https://databento.com/about#organization"}}},Z$e={"@id":"https://databento.com/about#organization"},J$e=[{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"dbn",fileFormat:"dbn",contentUrl:"https://databento.com/datasets/BATY.PITCH"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"csv",fileFormat:"csv",contentUrl:"https://databento.com/datasets/BATY.PITCH"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"json",fileFormat:"json",contentUrl:"https://databento.com/datasets/BATY.PITCH"}],Q$e=[{"@type":"Dataset",name:"Cboe BYX Depth Pitch",description:"Cboe Depth is available in Multicast and TCP PITCH and provides real-time, depth-of-book quotations and execution information. Multicast PITCH is offered with nearly half the latency of TCP PITCH and 20% fewer PITCH events. This is achieved by using binary messages (PITCH 2.0). Cboe offers a WAN-shaped and Gig-shaped version of the Multicast feed, both available from Cboe's primary datacenter. Members or market data recipients may choose one or more of the four Multicast PITCH feed options depending on their location and connectivity to Cboe.",publisher:{"@type":"Organization",name:"Cboe",url:"https://www.cboe.com/us/equities/",sameAs:["https://en.wikipedia.org/wiki/Cboe_Global_Markets"]},url:"https://datashop.cboe.com/cboe-us-equities-pitch",sameAs:"https://www.cboe.com/market_data_services/us/equities/"}],eqe={"@context":"https://schema.org","@type":"Dataset","@id":"https://databento.com/datasets/BATY.PITCH",name:z$e,alternateName:V$e,url:G$e,description:W$e,conditionsOfAccess:Y$e,spatialCoverage:X$e,isPartOf:K$e,creator:Z$e,distribution:J$e,isBasedOn:Q$e},tqe="Cboe Global Indices CCCY | Crypto Reference Price Data",nqe="Bitcoin and Ethereum spot reference prices from Cboe Global Indices CCCY",rqe="https://databento.com/datasets/CCCY.CGIF",aqe=`Cboe Global Indices CCCY carries real-time spot cryptocurrency reference prices over the Cboe Global Indices Feed (CGIF), derived from consolidated best bid and offer data across major cryptocurrency exchanges.
228
229Asset class: Indices
230
231Supported data encodings: DBN, CSV, JSON ([Learn more](https://databento.com/docs/api-reference-historical/basics/encodings))
232
233Supported market data schemas: MBP-1, BBO-1s, BBO-1m, Trades, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Statistics, Status ([Learn more](https://databento.com/docs/schemas-and-data-formats))
234
235Resolution: Immediate publication, nanosecond-resolution timestamps`,sqe="Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",iqe="2026-01-04/..",oqe="Worldwide",lqe={"@type":"DataCatalog","@id":"https://databento.com#data-catalog",name:"Databento",url:"https://databento.com",provider:{"@id":"https://databento.com/about#organization"}},cqe={"@id":"https://databento.com/about#organization"},uqe=[{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"dbn",fileFormat:"dbn",contentUrl:"https://databento.com/datasets/CCCY.CGIF"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"csv",fileFormat:"csv",contentUrl:"https://databento.com/datasets/CCCY.CGIF"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"json",fileFormat:"json",contentUrl:"https://databento.com/datasets/CCCY.CGIF"}],dqe=[{"@type":"Dataset",name:"Cboe Global Indices Feed (CGIF)",description:"The Cboe Global Indices Feed (CGIF) disseminates index values, and the instrument definitions and statistics that accompany them, over Cboe Titanium. It carries Cboe's own benchmark, volatility, and strategy indices alongside third-party series licensed from MSCI, FTSE Russell, and Morningstar, plus cryptocurrency reference prices and intraday indicative values for ETFs.",publisher:{"@type":"Organization",name:"Cboe Global Markets",url:"https://www.cboe.com/indices/",sameAs:["https://en.wikipedia.org/wiki/Cboe_Global_Markets","https://www.wikidata.org/wiki/Q30635731"]},url:"https://www.cboe.com/data/global-indices-feed"}],fqe={"@context":"https://schema.org","@type":"Dataset","@id":"https://databento.com/datasets/CCCY.CGIF",name:tqe,alternateName:nqe,url:rqe,description:aqe,conditionsOfAccess:sqe,temporalCoverage:iqe,spatialCoverage:oqe,

235includedInDataCatalog:lqe,creator:cqe,distribution:uqe,isBasedOn:dqe},pqe="Cboe Global Indices CGI | Options Strategy Index Data",hqe="Options overlay, buy-write and put-write values from Cboe Global Indices CGI",mqe="https://databento.com/datasets/CGI.CGIF",gqe=`Cboe Global Indices CGI carries Cboe's proprietary strategy indices distributed over the Cboe Global Indices Feed (CGIF), covering buy-write, put-write, and options-overlay series, along with implied correlation and dispersion measures.
236
237Asset class: Indices
238
239Supported data encodings: DBN, CSV, JSON ([Learn more](https://databento.com/docs/api-reference-historical/basics/encodings))
240
241Supported market data schemas: MBP-1, BBO-1s, BBO-1m, Trades, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Statistics, Status ([Learn more](https://databento.com/docs/schemas-and-data-formats))
242
243Resolution: Immediate publication, nanosecond-resolution timestamps`,vqe="Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",yqe="2026-01-04/..",bqe="Worldwide",xqe={"@type":"DataCatalog","@id":"https://databento.com#data-catalog",name:"Databento",url:"https://databento.com",provider:{"@id":"https://databento.com/about#organization"}},wqe={"@id":"https://databento.com/about#organization"},Cqe=[{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"dbn",fileFormat:"dbn",contentUrl:"https://databento.com/datasets/CGI.CGIF"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"csv",fileFormat:"csv",contentUrl:"https://databento.com/datasets/CGI.CGIF"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"json",fileFormat:"json",contentUrl:"https://databento.com/datasets/CGI.CGIF"}],_qe=[{"@type":"Dataset",name:"Cboe Global Indices Feed (CGIF)",description:"The Cboe Global Indices Feed (CGIF) disseminates index values, and the instrument definitions and statistics that accompany them, over Cboe Titanium. It carries Cboe's own benchmark, volatility, and strategy indices alongside third-party series licensed from MSCI, FTSE Russell, and Morningstar, plus cryptocurrency reference prices and intraday indicative values for ETFs.",publisher:{"@type":"Organization",name:"Cboe Global Markets",url:"https://www.cboe.com/indices/",sameAs:["https://en.wikipedia.org/wiki/Cboe_Global_Markets","https://www.wikidata.org/wiki/Q30635731"]},url:"https://www.cboe.com/data/global-indices-feed"}],Sqe={"@context":"https://schema.org","@type":"Dataset","@id":"https://databento.com/datasets/CGI.CGIF",name:pqe,alternateName:hqe,url:mqe,description:gqe,conditionsOfAccess:vqe,temporalCoverage:yqe,spatialCoverage:bqe,includedInDataCatalog:xqe,creator:wqe,distribution:Cqe,isBasedOn:_qe},Eqe="Corporate Actions Data & APIs - Dividends, mergers and acquisitions, IPOs, share buybacks, and more | Databento",Iqe="Upcoming and historical data for dividends, splits, mergers and acquisitions, IPOs and new listings, company announcements, share buybacks, adjustment factors, and more (EDI Corporate Actions)",Aqe="https://databento.com/corporate-actions",Tqe=`Databento provides upcoming and historical corporate actions impacting over 310,000 global securities, including every company announcement and 61 events like dividends, splits, mergers & acquisitions, listings, and more. 
244
245Dividends: Upcoming and past dividends, declaration, ex-dividend, record, and payment dates.
246
247Forward and reverse splits: Capital changes like forward splits and reverse splits with effective dates.
248
249Adjustment factors: To back-adjust end-of-day prices, EPS, P/E and other prices for all corporate actions.
250
251Mergers and acquisitions: Ticker changes caused by mergers, acquisitions, demergers, spinoffs, and more.
252
253IPOs and new listings: Upcoming and historical listings like initial public offerings (IPOs), with listing dates.
254
255Listing continuity: Listing continuity events like name changes, delistings, and description changes.
256
257Capital changes: Such as share buybacks, redemptions, bonus issues, and rights issues.
258
259Legal actions: Legal issues like bankruptcy and class action lawsuits, with filing and notice dates.
260
261Announcements: Machine-readable announcements from over 400 sources, timestamped to the second.
262
263Our reference API has the following structure:
264
265Corporate actions provides point-in-time (PIT) corporate actions events with global coverage.
266
267Adjustment factors provides end-of-day price adjustment factors for capital events, spanning multiple currencies for the same event.`,kqe="Acce

267ss to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",Rqe="2018-05-01/..",Nqe="Worldwide",Dqe={"@type":"DataCatalog","@id":"https://databento.com#data-catalog",name:"Databento",url:"https://databento.com",provider:{"@id":"https://databento.com/about#organization"}},Pqe={"@id":"https://databento.com/about#organization"},Oqe=[{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"csv",fileFormat:"csv",contentUrl:"https://databento.com"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"json",fileFormat:"json",contentUrl:"https://databento.com"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"dbn",fileFormat:"dbn",contentUrl:"https://databento.com"}],Mqe={"@context":"https://schema.org","@type":"Dataset","@id":"https://databento.com/corporate-actions",name:Eqe,alternateName:Iqe,url:Aqe,description:Tqe,conditionsOfAccess:kqe,temporalCoverage:Rqe,spatialCoverage:Nqe,includedInDataCatalog:Dqe,creator:Pqe,distribution:Oqe},Lqe="Cboe EDGA Depth Pitch Market Data and APIs | Databento",jqe="Cboe EDGA Depth full order book and trades feed",Fqe="https://databento.com/datasets/EDGA.PITCH",Bqe=`Breadth of coverage:
268  14,160 products
269
270  Asset class(es):
271  Equities
272
273  Origin: Directly captured at Equinix NY4 (Secaucus, NJ) with an FPGA-based network card and hardware timestamping. Synchronized to UTC with PTP.
274
275  Supported data encodings:
276  DBN, CSV, JSON [Learn more](https://databento.com/docs/api-reference-historical/basics/encodings)
277
278  Supported market data schemas:
279  MBO, MBP-1, MBP-10, TBBO, Trades, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Imbalance [Learn more](https://databento.com/docs/schemas-and-data-formats)
280
281  Resolution:
282  Immediate publication, nanosecond-resolution timestamps
283  `,Uqe="Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",$qe="United States",qqe={"@type":"Dataset","@id":"https://databento.com/equities",name:"Databento US Equities Market Data and APIs",url:"https://databento.com/equities",description:`Breadth of coverage:
284  14,160 products
285
286  Asset class(es):
287  Equities
288
289  Origin: Directly captured at Equinix NY4 (Secaucus, NJ) with an FPGA-based network card and hardware timestamping. Synchronized to UTC with PTP.
290
291  Supported data encodings:
292  DBN, CSV, JSON [Learn more](https://databento.com/docs/api-reference-historical/basics/encodings)
293
294  Supported market data schemas:
295  MBO, MBP-1, MBP-10, TBBO, Trades, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Imbalance [Learn more](https://databento.com/docs/schemas-and-data-formats)
296
297  Resolution:
298  Immediate publication, nanosecond-resolution timestamps
299  `,conditionsOfAccess:"Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",temporalCoverage:"2018-05-01/..",spatialCoverage:"United States",includedInDataCatalog:{"@type":"DataCatalog","@id":"https://databento.com#data-catalog",name:"Databento",url:"https://databento.com",provider:{"@id":"https://databento.com/about#organization"}}},Hqe={"@id":"https://databento.com/about#organization"},zqe=[{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"dbn",fileFormat:"dbn",contentUrl:"https://databento.com/datasets/EDGA.PITCH"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"csv",fileFormat:"csv",contentUrl:"https://databento.com/datasets/EDGA.PITCH"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"json",fileFormat:"json",contentUrl:"https://databento.com/datasets/EDGA.PITCH"}],Vqe=[{"@type":"Dataset",name:"Cboe EDGA Depth Pitch",description:"Cboe Depth is available in Multicast and TCP PITCH and provides real-time, depth-of-book quotations and execution information. Multicast PITCH is offered with nearly half the latency of TCP PITCH and 20% fewer PITCH events. This is achieved by using binary messages (PITCH 2.0). Cboe offers a WAN-shaped and Gig-shaped version of the Multicast feed, both available from Cboe's primary datacenter. Members or market data recipients may choose one or more of the four Multicast PITCH feed options depending on their location and connectivity to Cboe.",publisher:{"@type":"Organization",name:"Cboe",url:"https://www.cboe.com/us/equities/",sameAs:["https://en.wikipedia.org/wiki/Cboe_Global_Markets","https://www.wikidata.org/wiki/Q107188484"]},url:"https://datashop.cboe.com/cboe-us-equities-pitch",sameAs:"https://www.cboe.com/market_data_services/us/equities/"}],Gqe={"@context":"https://schema.org","@type":"Dataset","@id":"https://databento.com/datasets/EDGA.PITCH",name:Lqe,alternateName:jqe,url:Fqe,description:Bqe,conditionsOfAccess:Uqe,spatialCoverage:$qe,isPartOf:qqe,creator:Hqe,distribution:zqe,isBasedOn:Vqe},Wqe="Cboe EDGX Depth Pitch Market Data and APIs | Databento",Yqe="Cboe EDGX Depth full order book and trades feed",Xqe="https://databento.com/datasets/EDGX.PITCH",Kqe=`Breadth of coverage:
300  14,160 products
301
302  Asset class(es):
303  Equities
304
305  Origin: Directly captured at Equinix NY4 (Secaucus, NJ) with an FPGA-based network card and hardware timestamping. Synchronized to UTC with PTP.
306
307  Supported data encodings:
308  DBN, CSV, JSON [Learn more](https://databento.com/docs/api-reference-historical/basics/encodings)
309
310  Supported market data schemas:
311  MBO, MBP-1, MBP-10, TBBO, Trades, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Imbalance [Learn more](https://databento.com/docs/schemas-and-data-formats)
312
313  Resolution:
314  Immediate publication, nanosecond-resolution timestamps

315  `,Zqe="Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",Jqe="United States",Qqe={"@type":"Dataset","@id":"https://databento.com/equities",name:"Databento US Equities Market Data and APIs",url:"https://databento.com/equities",description:`Breadth of coverage:
316  14,160 products
317
318  Asset class(es):
319  Equities
320
321  Origin: Directly captured at Equinix NY4 (Secaucus, NJ) with an FPGA-based network card and hardware timestamping. Synchronized to UTC with PTP.
322
323  Supported data encodings:
324  DBN, CSV, JSON [Learn more](https://databento.com/docs/api-reference-historical/basics/encodings)
325
326  Supported market data schemas:
327  MBO, MBP-1, MBP-10, TBBO, Trades, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Imbalance [Learn more](https://databento.com/docs/schemas-and-data-formats)
328
329  Resolution:
330  Immediate publication, nanosecond-resolution timestamps
331  `,conditionsOfAccess:"Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",temporalCoverage:"2018-05-01/..",spatialCoverage:"United States",includedInDataCatalog:{"@type":"DataCatalog","@id":"https://databento.com#data-catalog",name:"Databento",url:"https://databento.com",provider:{"@id":"https://databento.com/about#organization"}}},eHe={"@id":"https://databento.com/about#organization"},tHe=[{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"dbn",fileFormat:"dbn",contentUrl:"https://databento.com/datasets/EDGX.PITCH"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"csv",fileFormat:"csv",contentUrl:"https://databento.com/datasets/EDGX.PITCH"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"json",fileFormat:"json",contentUrl:"https://databento.com/datasets/EDGX.PITCH"}],nHe=[{"@type":"Dataset",name:"Cboe EDGX Depth Pitch",description:"Cboe Depth is available in Multicast and TCP PITCH and provides real-time, depth-of-book quotations and execution information. Multicast PITCH is offered with nearly half the latency of TCP PITCH and 20% fewer PITCH events. This is achieved by using binary messages (PITCH 2.0). Cboe offers a WAN-shaped and Gig-shaped version of the Multicast feed, both available from Cboe's primary datacenter. Members or market data recipients may choose one or more of the four Multicast PITCH feed options depending on their location and connectivity to Cboe.",publisher:{"@type":"Organization",name:"Cboe",url:"https://www.cboe.com/us/equities/",sameAs:["https://en.wikipedia.org/wiki/Cboe_Global_Markets","https://www.wikidata.org/wiki/Q107188486"]},url:"https://datashop.cboe.com/cboe-us-equities-pitch",sameAs:"https://www.cboe.com/market_data_services/us/equities/"}],rHe={"@context":"https://schema.org","@type":"Dataset","@id":"https://databento.com/datasets/EDGX.PITCH",name:Wqe,alternateName:Yqe,url:Xqe,description:Kqe,conditionsOfAccess:Zqe,spatialCoverage:Jqe,isPartOf:Qqe,creator:eHe,distribution:tHe,isBasedOn:nHe},aHe="MIAX Pearl Depth Market Data and APIs | Databento",sHe="MIAX Pearl Depth of Market full order book feed",iHe="https://databento.com/datasets/EPRL.DOM",oHe=`MIAX Pearl Depth of Market (DoM) is a proprietary data feed that disseminates full order book depth from the MIAX Pearl Equities market. It delivers every quote and order at each price level, along with any event that updates the order book after an order is placed, such as trade executions, modifications, or cancellations.
332
333Launched in 2020 as the 15th U.S. equities exchange, MIAX Pearl Equities offers trading in US cash equities with price-time allocation and maker-taking pricing. It achieved a record volume of 49.9 billion shares in 2024, marking 6.2% year-over-year growth. As of January 2025, this exchange represented approximately 1.35% of the average daily volume (ADV) across all US exchange-listed securities.
334
335With L3 granularity, MIAX Pearl DoM captures information beyond the L1, top-of-book data available through SIP feeds, including explicit trade aggressor side and odd lots. This enables users to accurately model order book imbalances, trade directionality, queue dynamics, and more.
336
337Historical data is available for usage-based rates or with any [Databento US Equities](https://databento.com/catalog/us-equities) subscription. Visit our [pricing page](https://databento.com/pricing) for more details.
338
339 Breadth of coverage:
340  11,604 products
341
342  Asset class(es):
343  Equities
344
345  Origin: Directly captured at Equinix NY4 (Secaucus, NJ) with an FPGA-based network card and hardware timestamping. Synchronized to UTC with PTP.
346
347  Supported data encodings:
348  DBN, CSV, JSON [Learn more](https://databento.com/docs/api-reference-historical/basics/encodings)
349
350  Supported market data schemas:
351  MBO, MBP-1, MBP-10, TBBO, Trades, BBO-1s, BBO-1m, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Imbalance, Statistics, Status [Learn more](https://databento.com/docs/schemas-and-data-formats)
352
353  Resolution:
354  Immediate publication, nanosecond-resolution timestamps
355  `,lHe="Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",cHe="2023-03-28/..",uHe="United States",dHe={"@type":"Dataset","@id":"https://databento.com/equities",name:"Databento US Equities Market Data and APIs",url:"https://databento.com/equities",description:`Breadth of coverage:
356  14,160 products
357
358  Asset class(es):
359  Equities
360
361  Origin: Directly captured at Equinix NY4 (Secaucus, NJ) with an FPGA-based network card and hardware timestamping. Synchronized to UTC with PTP.
362
363  Supported data encodings:
364  DBN, CSV, JSON [Learn more](https://databento.com/docs/api-reference-historical/basics/encodings)
365
366  Supported market data schemas:
367  MBO, MBP-1, MBP-10, TBBO, Trades, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Imbalance [Learn more](https://databento.com/docs/schemas-and-data-formats)
368
369  Resolution:
370  Immediate publication, nanosecond-resolution timestamps
371  `,conditionsOfAccess:"Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",temporalCoverage:"2018-05-01/..",spatialCoverage:"United States",includedInDataCatalog:{"@type":"DataCatalog","@id":"https://databento.com#data-catalog",name:"Databento",url:"https://databento.com",provider:{"@id":"https://databento.com/about#organization"}}},fHe={"@id":"https://databento.com/about#organization"},pHe=[{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"dbn",fileFormat:"dbn",contentUrl:"https://databento.com/datasets/EPRL.DOM"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"csv",fileFormat:"csv",contentUrl:"https://databento.com/datasets/EPRL.DOM"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"json",fileFormat:"json",contentUrl:"https://databento.com/datasets/EPRL.DOM"}],hHe=[{"@type":"Dataset",name:"MIAX Pearl Equities Depth of Market Feed",description:"MIAX Pearl Equities Depth of Market Feed (DoM) is a data feed that allows subscribers to receive real-time updates of the following information from the MIAX Pearl Equities Exchange.",publisher:{"@type":"Organization",name:"MIAX Pearl Equities",url:"https://www.miaxglobal.com/markets/us-equities/pearl-equities",sameAs:["https://en.wikipedia.org/wiki/MIAX_Pearl_Equities","https://www.wikidata.org/wiki/Q107227864","https://www.marketswiki.com/wiki/MIAX_Pearl_Equities"]},url:"https://www.miaxglobal.com/markets/us-equities/pearl-equities/market-data",sameAs:["https://www.miaxglobal.com/markets/us-equities/pearl-equities/historical-market-data"]}],mHe={"@context":"https://schema.org","@type":"Dataset","@id":"https://databento.com/datasets/EPRL.DOM",name:aHe,alternateName:sHe,url:iHe,description:oHe,conditionsOfAccess:lHe,temporalCoverage:cHe,spatialCoverage:uHe,isPartOf:dHe,creator:fHe,distribution:pHe,isBasedOn:hHe},gHe="Equities Data & APIs - ETF and Stock Market Data | Databento",vHe="Stock data API - Download historical stock price data",yHe="https://databento.com/equities",bHe="Download real-time and historical stock price data, including all buy and sell orders at every price level. Get each trade tick-by-tick and order queue composition at all prices. Access high-fidelity US equities stock market data using our Python, Rust, and C++ APIs. Providing full order book depth (MBO), OHLC aggregates, and more.",xHe="Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",wHe="2018-05-01/..",CHe="United States",_He={"@type":"DataCatalog","@id":"https://databento.com#data-catalog",name:"Databento",url:"https://databento.com",provider:{"@id":"https://databento.com/about#organization"}},SHe={"@id":"https://databento.com/about#organization"},EHe=[{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"csv",fileFormat:"csv",contentUrl:"https://databento.com"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"json",fileFormat:"json",contentUrl:"https://databento.com"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"parquet",fileFormat:"parquet",contentUrl:"https://databento.com"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"dbn",fileFormat:"dbn",contentUrl:"https://databento.com"}],IHe={"@context":"https://schema.org","@type":"Dataset","@id":"https://databento.com/equities",name:gHe,alternateName:vHe,url:yHe,description:bHe,conditionsOfAccess:xHe,temporalCoverage:wHe,spatialCoverage:CHe,includedInDataCatalog:_He,creator:SHe,distribution:EHe},AHe="Real-time US Equities BBO and Trades - Databento US Equities Mini",THe="Cost-effective top-of-book BBO and trades from Databento US Equities Mini",kHe="https://databento.com/datasets/EQUS.MINI",RHe=`The Databento US Equities Mini dataset is our most cost-effective solution for real-time, top-of-book US equities data. It provides accurate best bid and offer (BBO) quotes, liquidity, and trade volume data derived from a proprietary blend of direct feeds sourced from several NMS exchanges and ATSs. Databento US Equities Mini combines these feeds into a single composite dataset to deliver a synthetic "mini" NBBO, eliminating the need for users to manually aggregate BBOs from individual venues.
372
373Its constituent feeds are anonymized to comply with derived data licensing terms from their respective sources. This approach allows us to offer real-time Databento US Equities Mini data without requiring license fees or exch

373ange paperwork, making it the only solution in the industry that supports commercial applications—such as external redistribution and non-display trading—without licensing restrictions.
374
375This dataset is optimized for a variety of real-time use cases, including display platforms, redistribution, brokerages, and analytics tools that need real-time BBO or last sale data—all without incurring additional licensing costs like per-user fees. Its entry-level pricing makes it an ideal starting point for equities data and an excellent choice for those integrating Databento's services for the first time. For users looking for an upgrade over this dataset, our next closest offerings are:
376- [Nasdaq Basic with NLS Plus](/catalog/us-equities#XNAS.BASIC), which is recommended if your application requires broader L1, top-of-book (MBP-1) coverage. Exchange license fees start at $1,613.50 per month.
377- [Nasdaq TotalView-ITCH](/catalog/us-equities#XNAS.ITCH), which is recommended if your application requires L2 (MBP-10) or L3 (MBO) data and longer history. Exchange license fees start at $1,690.50 per month.
378
379Live Databento US Equities Mini data is included with any Standard, Plus, or Unlimited subscription through our Databento US Equities service. Historical data is available for usage-based rates or with any subscription. Explore [pricing](/catalog/us-equities#pricing) for more details or to upgrade your plan.`,NHe="Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",DHe="United States",PHe={"@type":"DataCatalog","@id":"https://databento.com#data-catalog",name:"Databento",url:"https://databento.com",provider:{"@id":"https://databento.com/about#organization"}},OHe={"@id":"https://databento.com/about#organization"},MHe=[{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"dbn",fileFormat:"dbn",contentUrl:"https://databento.com/datasets/EQUS.MINI"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"csv",fileFormat:"csv",contentUrl:"https://databento.com/datasets/EQUS.MINI"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"json",fileFormat:"json",contentUrl:"https://databento.com/datasets/EQUS.MINI"}],LHe={"@context":"https://schema.org","@type":"Dataset","@id":"https://databento.com/datasets/EQUS.MINI",name:AHe,alternateName:THe,url:kHe,description:RHe,conditionsOfAccess:NHe,spatialCoverage:DHe,includedInDataCatalog:PHe,creator:OHe,distribution:MHe},jHe="Access all US equities venues with Databento US Equities Summary",FHe="Consolidated daily volume and trades from Databento US Equities Summary",BHe="https://databento.com/datasets/EQUS.SUMMARY",UHe=`Databento US Equities Summary provides access to all US equities venues, including MEMX, NYSE American, and the complete suite of Cboe exchanges.
380
381Databento US Equities Summary includes all of Databento US Equities Book: the prop feeds of 4 US stock exchanges (MIAX Pearl Equities, IEX, NYSE National, and NYSE Texas); all ATSes reporting to the 3 FINRA TRFs; Nasdaq TotalView-ITCH; NYSE Integrated; and NYSE Arca Integrated. It also provides access to all remaining equities venues, which include MEMX, Nasdaq Texas and PSX, NYSE American, and the complete suite of Cboe exchanges (EDGA, EDGX, BZX, and BYX).
382
383Asset class: Equities
384
385Origin: Directly captured at Equinix NY4 (Secaucus, NJ) with an FPGA-based network card and hardware timestamping. Synchronized to UTC with PTP.
386
387Supported data encodings: DBN, CSV, JSON ([Learn more](https://databento.com/docs/api-reference-historical/basics/encodings))
388
389Supported market data schemas: MBO, MBP-1, MBP-10, TBBO, Trades, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Imbalance ([Learn more](https://databento.com/docs/schemas-and-data-formats))
390
391Resolution: Immediate publication, nanosecond-resolution timestamps`,$He="Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",qHe="United States",HHe={"@type":"DataCatalog","@id":"https://databento.com#data-catalog",name:"Databento",url:"https://databento.com",provider:{"@id":"https://databento.com/about#organization"}},zHe={"@id":"https://databento.com/about#organization"},VHe=[{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"dbn",fileFormat:"dbn",contentUrl:"https://databento.com/datasets/EQUS.SUMMARY"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"csv",fileFormat:"csv",contentUrl:"https://databento.com/datasets/EQUS.SUMMARY"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"json",fileFormat:"json",contentUrl:"https://databento.com/datasets/EQUS.SUMMARY"}],GHe={"@context":"https://schema.org","@type":"Dataset","@id":"https://databento.com/datasets/EQUS.SUMMARY",name:jHe,alternateName:FHe,url:BHe,description:UHe,conditionsOfAccess:$He,spatialCoverage:qHe,includedInDataCatalog:HHe,creator:zHe,distribution:VHe},WHe="Cboe Global Indices FTSE Russell | Index Data",YHe="FTSE 100 and Russell 1000/2000 index values",XHe="https://databento.com/datasets/FTSE.CGIF",KHe=`Cboe Global Indices FTSE Russell carries FTSE Russell's UK and US benchmark series over the Cboe Global Indices Feed (CGIF), including the FTSE 100 and the Russell 1000 and Russell 2000, along with their growth and value variants.
392
393Asset class: Indices
394
395Supported data encodings: DBN, CSV, JSON ([Learn more](https://databento.com/docs/api-reference-historical/basics/encodings))
396
397Supported market data schemas: MBP-1, BBO-1s, BBO-1m, Trades, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Statistics, Status ([Learn more](https://databento.com/docs/schemas-and-data-formats))
398
399Resolution: Immediate publication, nanosecond-resolution timestamps`,ZHe="Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",JHe="2026-01-04/..",QHe="Worldwide",eze={"@type":"DataCatalog","@id":"https://databento.com#data-catalog",name:"Databento",url:"https://databento.com",provider:{"@id":"https://databento.com/about#organization"}},tze={"@id":"https://databento.com/about#organization"},nze=[{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"dbn",fileFormat:"dbn",contentUrl:"https://databento.com/datasets/FTSE.CGIF"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"csv",fileFormat:"csv",contentUrl:"https://databento.com/datasets/FTSE.CGIF"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"json",fileFormat:"json",contentUrl:"https://databento.com/datasets/FTSE.CGIF"}],rze=[{"@type":"Dataset",name:"Cboe Global Indices Feed (CGIF)",description:"The Cboe Global Indices Feed (CGIF) disseminates index values, and the instrument definitions and statistics that accompany them, over Cboe Titanium. It carries Cboe's own benchmark, volatility, and strategy indices alongside third-party series licensed from MSCI, FTSE Russell, and Morningstar, plus cryptocurrency reference prices and intraday indicative values for ETFs.",publisher:{"@type":"Organization",name:"Cboe Global Markets",url:"https://www.cboe.com/indices/",sameAs:["https://en.wikipedia.org/wiki/Cboe_Global_Markets","https://www.wikidata.org/wiki/Q30635731"]},url:"https://www.cboe.com/data/global-indices-feed"}],aze={"@context":"https://schema.org","@type":"Dataset","@id":"https://databento.com/datasets/FTSE.CGIF",name:WHe,alternateName:YHe,url:XHe,description:KHe,conditionsOfAccess:ZHe,temporalCoverage:JHe,spatialCoverage:QHe,includedInDataCatalog:eze,creator:tze,distribution:nze,isBasedOn:rze},sze="Futures Market Data & APIs | Databento",ize="Futures data API - Real-time and historical futures data (continuous contracts, bid-ask spreads, and more)",oze="https://databento.com/futures",lze=`Official licensed distributor of futures data from CME, CFE, ICE, CBOT, NYMEX, COMEX, Eurex, EEX and more. Trades, quotes, full order book, and market depth.
400
401Our continuous contract symbology is a notation that maps to an actual, tradable instrument on any given date. The prices returned are real, unadjusted prices. We do not create a synthetic time series by adjusting the prices to remove jumps during rollovers.`,cze="Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",uze="2017-05-21/..",dze="Worldwide",fze={"@type":"DataCatalog","@id":"https://databento.com#data-catalog",name:"Databento",url:"https://databento.com",provider:{"@id":"https://databento.com/about#organization"}}

401,pze={"@id":"https://databento.com/about#organization"},hze=[{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"csv",fileFormat:"csv",contentUrl:"https://databento.com"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"json",fileFormat:"json",contentUrl:"https://databento.com"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"parquet",fileFormat:"parquet",contentUrl:"https://databento.com"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"dbn",fileFormat:"dbn",contentUrl:"https://databento.com"}],mze={"@context":"https://schema.org","@type":"Dataset","@id":"https://databento.com/futures",name:sze,alternateName:ize,url:oze,description:lze,conditionsOfAccess:cze,temporalCoverage:uze,spatialCoverage:dze,includedInDataCatalog:fze,creator:pze,distribution:hze},gze="Commodity Futures Market Data & APIs | Databento",vze="Real-time and historical commodity futures prices",yze="https://databento.com/futures/commodity",bze=`Spreads, options on futures, auction data, and more from the largest commodities exchanges. Real-time and historical energy, agriculture, and metals futures data, all sourced directly from CME and ICE. Deliver straight to your application or download as flat files. Data is available in up to 15 formats.
402
403Our continuous contract symbology is a notation that maps to an actual, tradable instrument on any given date. The prices returned are real, unadjusted prices. We do not create a synthetic time series by adjusting the prices to remove jumps during rollovers.
404
405Databento is a licensed distributor and direct provider of market data for 70+ trading venues. We power research, trading, and risk management firms in the volatile physical commodities markets.`,xze="Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",wze="2017-05-21/..",Cze="North America, Europe",_ze={"@type":"DataCatalog","@id":"https://databento.com#data-catalog",name:"Databento",url:"https://databento.com",provider:{"@id":"https://databento.com/about#organization"}},Sze={"@id":"https://databento.com/about#organization"},Eze=[{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"csv",fileFormat:"csv",contentUrl:"https://databento.com"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"json",fileFormat:"json",contentUrl:"https://databento.com"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"parquet",fileFormat:"parquet",contentUrl:"https://databento.com"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"dbn",fileFormat:"dbn",contentUrl:"https://databento.com"}],Ize=["https://www.cmegroup.com/markets/commodities.html"],Aze={"@context":"https://schema.org","@type":"Dataset","@id":"https://databento.com/futures/commodity",name:gze,alternateName:vze,url:yze,description:bze,conditionsOfAccess:xze,temporalCoverage:wze,spatialCoverage:Cze,includedInDataCatalog:_ze,creator:Sze,distribution:Eze,sameAs:Ize},Tze="Electricity Futures Market Data and APIs | Databento",kze="Real-time and historical electric power futures prices",Rze="https://databento.com/futures/commodity/energy/electricity",Nze=`Access electric power futures products from 10 European electricity markets, sourced directly from ICE Endex, the leading energy exchange in continental Europe. 
406
407Our continuous contract symbology is a notation that maps to an actual, tradable instrument on any given date. The prices returned are real, unadjusted prices. We do not create a synthetic time series by adjusting the prices to remove jumps during rollovers.`,Dze="Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",Pze="2018-12-23/..",Oze="Europe",Mze=[{"@type":"DataCatalog","@id":"https://databento.com/datasets/NDEX.IMPACT",name:"ICE Endex | Databento",url:"https://databento.com/datasets/NDEX.IMPACT",provider:{"@id":"https://databento.com/about#organization"}},{"@type":"DataCatalog","@id":"https://databento.com#data-catalog",name:"Databento",url:"https://databento.com",provider:{"@id":"https://databento.com/about#organization"}}],Lze={"@id":"https://databento.com/about#organization"},jze=[{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"dbn",fileFormat:"dbn",contentUrl:"https://databento.com/datasets/NDEX.IMPACT"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"csv",fileFormat:"csv",contentUrl:"https://databento.com/datasets/NDEX.IMPACT"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"json",fileFormat:"json",contentUrl:"https://databento.com/datasets/NDEX.IMPACT"}],Fze=["https://www.ice.com/products/Futures-Options/Energy/Electricity"],Bze={"@context":"https://schema.org","@type":"Dataset","@id":"https://databento.com/futures/commodity/energy/electricity",name:Tze,alternateName:kze,url:Rze,description:Nze,conditionsOfAccess:Dze,temporalCoverage:Pze,spatialCoverage:Oze,includedInDataCatalog:Mze,creator:Lze,distribution:jze,sameAs:Fze},Uze="Emissions Futures Market Data and APIs | Databento",$ze="Real-time and historical carbon emission allowances futures prices",qze="https://databento.com/futures/commodity/energy/emissions",Hze=`Download real-time and historical ICE EUA and UKA futures data via browser or API. Manage the price risk of emission allowances and carbon credits. 
408
409Our continuous contract symbology is a notation that maps to an actual, tradable instrument on any given date. The prices returned are real, unadjusted prices. We do not create a synthetic time series by adjusting the prices to remove jumps during rollovers.`,zze="Acce

409ss to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",Vze="2018-12-23/..",Gze="Europe",Wze=[{"@type":"DataCatalog","@id":"https://databento.com/datasets/NDEX.IMPACT",name:"ICE Endex dataset | Databento",url:"https://databento.com/datasets/NDEX.IMPACT",provider:{"@id":"https://databento.com/about#organization"}},{"@type":"DataCatalog","@id":"https://databento.com/datasets/IFEU.IMPACT",name:"ICE Europe Commodities dataset | Databento",url:"https://databento.com/datasets/IFEU.IMPACT",provider:{"@id":"https://databento.com/about#organization"}},{"@type":"DataCatalog","@id":"https://databento.com#data-catalog",name:"Databento",url:"https://databento.com",provider:{"@id":"https://databento.com/about#organization"}}],Yze={"@id":"https://databento.com/about#organization"},Xze=[{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"dbn",fileFormat:"dbn",contentUrl:["https://databento.com/datasets/NDEX.IMPACT","https://databento.com/datasets/IFEU.IMPACT"]},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"csv",fileFormat:"csv",contentUrl:["https://databento.com/datasets/NDEX.IMPACT","https://databento.com/datasets/IFEU.IMPACT"]},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"json",fileFormat:"json",contentUrl:["https://databento.com/datasets/NDEX.IMPACT","https://databento.com/datasets/IFEU.IMPACT"]}],Kze=["https://www.ice.com/products/Futures-Options/Energy/Emissions"],Zze={"@context":"https://schema.org","@type":"Dataset","@id":"https://databento.com/futures/commodity/energy/emissions",name:Uze,alternateName:$ze,url:qze,description:Hze,conditionsOfAccess:zze,temporalCoverage:Vze,spatialCoverage:Gze,includedInDataCatalog:Wze,creator:Yze,distribution:Xze,sameAs:Kze},Jze="Energy Futures Market Data & APIs | Databento",Qze="Real-time and historical energy futures prices",eVe="https://databento.com/futures/commodity/energy",tVe=`Access global energy markets and benchmarks in one integration, including real-time and historical data on crude oil, natural gas, and power derivatives. 
410
411Our continuous contract symbology is a notation that maps to an actual, tradable instrument on any given date. The prices returned are real, unadjusted prices. We do not create a synthetic time series by adjusting the prices to remove jumps during rollovers.`,nVe="Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",rVe="2017-05-21/..",aVe="North America, Europe",sVe=[{"@type":"DataCatalog","@id":"https://databento.com/datasets/GLBX.MDP3",name:"CME Globex MDP 3.0 dataset | Databento",url:"https://databento.com/datasets/GLBX.MDP3",provider:{"@id":"https://databento.com/about#organization"}},{"@type":"DataCatalog","@id":"https://databento.com/datasets/NDEX.IMPACT",name:"ICE Endex dataset | Databento",url:"https://databento.com/datasets/NDEX.IMPACT",provider:{"@id":"https://databento.com/about#organization"}},{"@type":"DataCatalog","@id":"https://databento.com/datasets/IFEU.IMPACT",name:"ICE Europe Commodities dataset | Databento",url:"https://databento.com/datasets/IFEU.IMPACT",provider:{"@id":"https://databento.com/about#organization"}},{"@type":"DataCatalog","@id":"https://databento.com#data-catalog",name:"Databento",url:"https://databento.com",provider:{"@id":"https://databento.com/about#organization"}}],iVe={"@id":"https://databento.com/about#organization"},oVe=[{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"csv",fileFormat:"csv",contentUrl:"https://databento.com"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"json",fileFormat:"json",contentUrl:"https://databento.com"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"parquet",fileFormat:"parquet",contentUrl:"https://databento.com"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"dbn",fileFormat:"dbn",contentUrl:"https://databento.com"}],lVe=["https://www.cmegroup.com/markets/energy.html","https://www.ice.com/products/Futures-Options/Energy"],cVe={"@context":"https://schema.org","@type":"Dataset","@id":"https://databento.com/futures/commodity/energy",name:Jze,alternateName:Qze,url:eVe,description:tVe,conditionsOfAccess:nVe,temporalCoverage:rVe,spatialCoverage:aVe,includedInDataCatalog:sVe,creator:iVe,distribution:oVe,sameAs:lVe},uVe="Interest Rate Futures Market Data & APIs - Fed Funds, U.S. Treasuries, SOFR, and more | Databento",dVe="Real-time and historical interest rate futures prices, including CME federal funds futures",fVe="https://databento.com/futures/interest-rate",pVe=`Access CME futures and options data for interest rate markets, including U.S. Treasuries, SOFR, Federal Funds, ESTR, and more with Databento's APIs or web portal. 
412
413Our continuous contract symbology is a notation that maps to an actual, tradable instrument on any given date. The prices returned are real, unadjusted prices. We do not create a synthetic time series by adjusting the prices to remove jumps during rollovers.`,hVe="Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",mVe="2017-05-21/..",gVe="North America",vVe=[{"@type":"DataCatalog","@id":"https://databento.com/datasets/GLBX.MDP3",name:"CME Globex MDP 3.0 dataset | Databento",url:"https://databento.com/datasets/GLBX.MDP3",provider:{"@id":"https://databento.com/about#organization"}},{"@type":"DataCatalog","@id":"https://databento.com#data-catalog",name:"Databento",url:"https://databento.com",provider:{"@id":"https://databento.com/about#organization"}}],yVe={"@id":"https://databento.com/about#organization"},bVe=[{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"csv",fileFormat:"csv",contentUrl:"https://databento.com"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"json",fileFormat:"json",contentUrl:"https://databento.com"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"parquet",fileFormat:"parquet",contentUrl:"https://databento.com"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"dbn",fileFormat:"dbn",contentUrl:"https://databento.com"}],xVe=["https://www.cmegroup.com/markets/interest-rates.html"],wVe={"@context":"https://schema.org","@type":"Dataset","@id":"https://databento.com/futures/interest-rate",name:uVe,alternateName:dVe,url:fVe,description:pVe,conditionsOfAccess:hVe,temporalCoverage:mVe,spatialCoverage:gVe,includedInDataCatalog:vVe,creator:yVe,distribution:bVe,sameAs:xVe},CVe="CME Group Futures and Options Market Data (CME Globex MDP 3.0)",_Ve="Block trades and event contracts from CME Globex MDP 3.0",SVe="https://databento.com/datasets/GLBX.MDP3",EVe=`Access CME Group data sourced directly from raw feeds at colocation sites. Try out our market data APIs for Python, C++, and other applications for free.
414
415  The CME Group Market Data Platform (MDP) 3.0 disseminates event-based bid, ask, trade, and statistical data for CME Group markets and also provides recovery and support services for market data processing. MDP 3.0 includes the introduction of Simple Binary Encoding (SBE) and Event Driven Messaging to the CME Group Market Data Platform. Simple Binary Encoding (SBE) is based on simple primitive encoding, and is optimized for low bandwidth, low latency, and direct data access. Since March 2017, MDP 3.0 has changed from providing aggregated depth at every price level (like CME's legacy FAST feed) to providing full granularity of every order event for every instrument's direct book.
416MDP 3.0 is the sole data feed for all instruments traded on CME Globex, including futures, options, spreads and combinations.
417Note: We classify exchange-traded spreads between futures outrights as futures, and option combinations as options.
418
419  Breadth of coverage:
420  2,138 products
421
422  Asset class(es):
423  Futures, Options
424
425  Origin: Directly captured at Aurora DC3 with an FPGA-based network card and hardware timestamping. Synchronized to UTC with PTP
426
427  Supported data encodings:
428  DBN, CSV, JSON [Learn more](https://databento.com/docs/api-reference-historical/basics/encodings)
429
430  Supported market data schemas:
431  MBO, MBP-1, MBP-10, TBBO, Trades, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Statistics [Learn more](https://databento.com/docs/schemas-and-data-formats)
432
433  Resolution:
434  Immediate publication, nanosecond-resolution timestamps
435  `,IVe="Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",AVe="2010-06-06/..",TVe="Worldwide",kVe={"@type":"DataCatalog","@id":"https://databento.com#data-catalog",name:"Databento",url:"https://databento.com",provider:{"@id":"https://databento.com/about#organization"}},RVe={"@id":"https://databento.com/about#organization"},NVe=[{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"dbn",fileFormat:"dbn",contentUrl:"https://databento.com/datasets/GLBX.MDP3"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"csv",fileFormat:"csv",contentUrl:"https://databento.com/datasets/GLBX.MDP3"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"json",fileFormat:"json",contentUrl:"https://databento.com/datasets/GLBX.MDP3"}],DVe=[{"@type":"Dataset",name:"CME Globex MDP 3.0",description:`The CME Group Market Data Platform (MDP) 3.0 disseminates event-based bid, ask, trade, and statistical data for CME Group markets and also provides recovery and support services for market data processing. MDP 3.0 includes the introduction of Simple Binary Encoding (SBE) and Event Driven Messaging to the CME Group Market Data Platform. Simple Binary Encoding (SBE) is based on simple primitive encoding, and is optimized for low bandwidth, low latency, and direct data access. Since March 2017, MDP 3.0 has changed from providing aggregated depth at every price level (like CME's legacy FAST feed) to providing full granularity of every order event for every instrument's direct book.
436MDP 3.0 is the sole data feed for all instruments traded on CME Globex, including futures, options, spreads and combinations.
437Note: We classify exchange-traded spreads between futures outrights as futures, and option combinations as options.`,publisher:{"@type":"Organization",name:"CME Group",url:"https://www.cmegroup.com",sameAs:"https://wikipedia.org/wiki/CME_Group"},url:"https://www.cmegroup.com/market-data/browse-data.html",sameAs:["https://www.cmegroup.com/confluence/display/EPICSANDBOX/CME+MDP+3.0+Market+Data","https://www.cmegroup.com/market-data/distributor/market-data-platform.html"],includedInDataCatalog:{"@type":"DataCatalog","@id":"https://databento.com#data-catalog",name:"Databento",url:"https://databento.com",provider:{"@id":"https://databento.com/about#organization"}}},{"@type":"Dataset",name:"NYMEX Historical and Real-time Data",alternateName:"New York Mercantile Exchange market data",description:"NYMEX is a commodity futures exchange operating as part of the CME Group and primarily trades energy and metal contracts. NYMEX is known for trading futures contracts for crude oil, natural gas, heating oil, gasoline, and other energy products, as well as contracts for metals such as gold, silver, copper, and aluminum.",publisher:{"@type":"Organization",name:"CME Group",url:"https://www.cmegroup.com",sameAs:"https://wikipedia.org/wiki/CME_Group"},url:"https://www.cmegroup.com/market-data/browse-data.html",sameAs:["https://www.cmegroup.com/confluence/display/EPICSANDBOX/CME+MDP+3.0+Market+Data","https://www.cmegroup.com/market-data/distributor/market-data-platform.html"],isPartOf:{"@type":"Dataset","@id":"https://databento.com/datasets/GLBX.MDP3"}},{"@type":"Dataset",name:"CBOT Historical and Real-time Data",alternateName:"Chicago Board of Trade market data",description:"CBOT operates as part of the CME Group, offering a wide range of futures and options contracts across various asset classes. CBOT specializes in trading futures and options contracts for agricultural commodities, such as corn, soybeans, wheat, and oats, as well as financial instruments, including interest rates and stock indexes.",publisher:{"@type":"Organization",name:"CME Group",url:"https://www.cmegroup.com",sameAs:"https://wikipedia.org/wiki/CME_Group"},url:"https://www.cmegroup.com/market-data/browse-data.html",sameAs:["https://www.cmegroup.com/confluence/display/EPICSANDBOX/CME+MDP+3.0+Market+Data","https://www.cmegroup.com/market-data/distributor/market-data-platform.html"],isPartOf:{"@type":"Dataset","@id":"https://databento.com/datasets/GLBX.MDP3"}},{"@type":"Dataset",name:"COMEX Historical and Real-time Data",alternateName:"Commodity Exc

437hange market data",description:"COMEX is a division of the CME Group. It is one of the primary futures and options trading platforms for metals, including gold, silver, copper, and aluminum.",publisher:{"@type":"Organization",name:"CME Group",url:"https://www.cmegroup.com",sameAs:"https://wikipedia.org/wiki/CME_Group"},url:"https://www.cmegroup.com/market-data/browse-data.html",sameAs:["https://www.cmegroup.com/confluence/display/EPICSANDBOX/CME+MDP+3.0+Market+Data","https://www.cmegroup.com/market-data/distributor/market-data-platform.html"],isPartOf:{"@type":"Dataset","@id":"https://databento.com/datasets/GLBX.MDP3"}}],PVe={"@context":"https://schema.org","@type":"Dataset","@id":"https://databento.com/datasets/GLBX.MDP3",name:CVe,alternateName:_Ve,url:SVe,description:EVe,conditionsOfAccess:IVe,temporalCoverage:AVe,spatialCoverage:TVe,includedInDataCatalog:kVe,creator:RVe,distribution:NVe,isBasedOn:DVe},OVe="Historical Market Data & APIs | Databento",MVe="Download intraday historical stock price data (OHLC bars, bid-ask spreads and more)",LVe="https://databento.com/historical",jVe="Get comprehensive coverage for 70+ trading venues with Databento's historical data APIs. Available in multiple data formats including MBO, MBP, and more.",FVe="Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",BVe="2017-05-21/..",UVe="North America, Europe",$Ve={"@type":"DataCatalog","@id":"https://databento.com#data-catalog",name:"Databento",url:"https://databento.com",provider:{"@id":"https://databento.com/about#organization"}},qVe={"@id":"https://databento.com/about#organization"},HVe=[{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"csv",fileFormat:"csv",contentUrl:"https://databento.com"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"json",fileFormat:"json",contentUrl:"https://databento.com"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"parquet",fileFormat:"parquet",contentUrl:"https://databento.com"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"dbn",fileFormat:"dbn",contentUrl:"https://databento.com"}],zVe={"@context":"https://schema.org","@type":"Dataset","@id":"https://databento.com/historical",name:OVe,alternateName:MVe,url:LVe,description:jVe,conditionsOfAccess:FVe,temporalCoverage:BVe,spatialCoverage:UVe,includedInDataCatalog:$Ve,creator:qVe,distribution:HVe},VVe="Global Market Data & Reference Data APIs",GVe="Financial market data feed - Institutional quality, low latency",WVe="https://databento.com",YVe=`Databento is a licensed distributor of market data for 70+ trading venues covering North America and Europe. 
438
439All buy and sell orders at every price level. Get each trade tick-by-tick and order queue composition at all prices. Access high-fidelity US equities stock market data using our Python, Rust, and C++ APIs. Providing full order book depth (MBO), OHLC aggregates, and more. 
440
441Reference data includes coverage from 215+ exchanges worldwide, 300,000+ listed and delisted securities from 100,000+ companies, categorized as 60+ event types. The dataset focuses on crucial events affecting global securities such as dividends, takeovers, mergers & acquisitions and rights issues.`,XVe="Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",KVe="2017-05-21/..",ZVe="North America, Europe",JVe={"@id":"https://databento.com/about#organization"},QVe=[{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"csv",fileFormat:"csv",contentUrl:"https://databento.com"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"json",fileFormat:"json",contentUrl:"https://databento.com"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"parquet",fileFormat:"parquet",contentUrl:"https://databento.com"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"dbn",fileFormat:"dbn",contentUrl:"https://databento.com"}],eGe={"@context":"https://schema.org","@type":"Dataset","@id":"https://databento.com",name:VVe,alternateName:GVe,url:WVe,description:YVe,conditionsOfAccess:XVe,temporalCoverage:KVe,spatialCoverage:ZVe,creator:JVe,distribution:QVe},tGe="IEX TOPS Historical Data - Top of book and last sale",nGe="L1 and level 1 market data from IEX TOPS",rGe="https://databento.com/datasets/IEXG.TOPS",aGe=`IEX TOPS is a proprietary data feed that provides top-of-book quotes and last sale (trades) price and size information, also known as L1 data. It covers all stocks and ETFs traded on the Investors Exchange (IEXG). As of January 2025, IEX accounted for approximately 2.18% of the average daily volume (ADV) across all U.S. exchange-listed securities.
442
443Historical data is available for usage-based rates or with any [Databento US Equities](https://databento.com/catalog/us-equities) subscription. Visit our [pricing page](https://databento.com/pricing) for more details.
444
445Asset classes: Equities
446
447Origin: Directly captured at Equinix NY4 (Secaucus, NJ) with an FPGA-based network card and hardware timestamping. Synchronized to UTC with PTP.
448
449Supported data encodings: DBN, CSV, JSON ([Learn more](https://databento.com/docs/api-reference-historical/basics/encodings))
450
451Supported market data schemas: MBP-1, TBBO, Trades, BBO-1s, BBO-1m, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Imbalance, Statistics, Status ([Learn more](https://databento.com/docs/schemas-and-data-formats))
452
453Resolution: Immediate publication, nanosecond-resolution timestamps`,sGe="Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",iGe="2023-03-28/..",oGe="United States",lGe={"@type":"Dataset","@id":"https://databento.com/equities",name:"Databento US Equities Market Data and APIs",url:"https://databento.com/equities",description:`Breadth of coverage:
454  14,160 products
455
456  Asset class(es):
457  Equities
458
459  Origin: Directly captured at Equinix NY4 (Secaucus, NJ) with an FPGA-based network card and hardware timestamping. Synchronized to UTC with PTP.
460
461  Supported data encodings:
462  DBN, CSV, JSON [Learn more](https://databento.com/docs/api-reference-historical/basics/encodings)
463
464  Supported market data schemas:
465  MBO, MBP-1, MBP-10, TBBO, Trades, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Imbalance [Learn more](https://databento.com/docs/schemas-and-data-formats)
466
467  Resolution:
468  Immediate publication, nanosecond-resolution timestamps
469  `,conditionsOfAccess:"Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",temporalCoverage:"2018-05-01/..",spatialCoverage:"United States",includedInDataCatalog:{"@type":"DataCatalog","@id":"https://databento.com#data-catalog",name:"Databento",url:"https://databento.com",provider:{"@id":"https://databento.com/about#organization"}}},cGe={"@id":"https://databento.com/about#organization"},uGe=[{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"dbn",fileFormat:"dbn",contentUrl:"https://databento.com/datasets/IEXG.TOPS"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"csv",fileFormat:"csv",contentUrl:"https://databento.com/datasets/IEXG.TOPS"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"json",fileFormat:"json",contentUrl:"https://databento.com/datasets/IEXG.TOPS"}],dGe={"@context":"https://schema.org","@type":"Dataset","@id":"https://databento.com/datasets/IEXG.TOPS",name:tGe,alternateName:nGe,url:rGe,description:aGe,conditionsOfAccess:sGe,temporalCoverage:iGe,spatialCoverage:oGe,isPartOf:lGe,creator:cGe,distribution:uGe},fGe="ICE Europe Commodities Market Data",pGe="ICE Europe Commodities iMpact - Real-time and Historical Data API",hGe="https://databento.com/datasets/IFEU.IMPACT",mGe=`ICE Europe Commodities iMpact is the primary data feed for ICE Europe Commodities and covers 50% of worldwide crude and refined oil futures trading, as well as other options and futures contracts like natural gas, power, coal, emissions, and soft commodities. This dataset includes all commodities on ICE Europe Commodities—all listed outrights, spreads, options, and options combinations across every expiration month. Interest rates and financial products are not included at this time and will be part of a separate dataset.
470
471Asset class: Futures, Options
472
473Origin: Captured at Aurora DC3 with an FPGA-based network card and hardware timestamping. Synchronized to UTC with PTP
474
475Supported data encodings: DBN, CSV, JSON ([Learn more](https://databento.com/docs/api-reference-historical/basics/encodings))
476
477Supported market data schemas: MBO, MBP-1, MBP-10, TBBO, Trades, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Statistics ([Learn more](https://databento.com/docs/schemas-and-data-formats))
478
479Resolution: Immediate publication, nanosecond-resolution timestamps`,gGe="Acce

479ss to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",vGe="2018-12-23/..",yGe="Worldwide",bGe={"@type":"DataCatalog","@id":"https://databento.com#data-catalog",name:"Databento",url:"https://databento.com",provider:{"@id":"https://databento.com/about#organization"}},xGe={"@id":"https://databento.com/about#organization"},wGe=[{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"dbn",fileFormat:"dbn",contentUrl:"https://databento.com/datasets/IFEU.IMPACT"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"csv",fileFormat:"csv",contentUrl:"https://databento.com/datasets/IFEU.IMPACT"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"json",fileFormat:"json",contentUrl:"https://databento.com/datasets/IFEU.IMPACT"}],CGe=[{"@type":"Dataset",name:"ICE Europe Commodities iMpact",description:"ICE Europe Commodities iMpact is the primary data feed for ICE Europe Commodities and covers 50% of worldwide crude and refined oil futures trading, as well as other options and futures contracts like natural gas, power, coal, emissions, and soft commodities. This dataset includes all commodities on ICE Europe Commodities—all listed outrights, spreads, options, and options combinations across every expiration month. Interest rates and financial products are not included at this time and will be part of a separate dataset.",publisher:{"@type":"Organization",name:"ICE Europe Commodities",url:"https://www.ice.com/futures-europe",sameAs:["https://www.wikidata.org/wiki/Q93355979","https://en.wikipedia.org/wiki/Intercontinental_Exchange"],description:"ICE Europe Commodities is home to futures and options contracts for crude oil, interest rates, equity derivatives, natural gas, power, coal, emissions and soft commodities."},url:"https://www.ice.com/products/Futures-Options",includedInDataCatalog:{"@type":"DataCatalog","@id":"https://databento.com#data-catalog",name:"Databento",url:"https://databento.com",provider:{"@id":"https://databento.com/about#organization"}}}],_Ge={"@context":"https://schema.org","@type":"Dataset","@id":"https://databento.com/datasets/IFEU.IMPACT",name:fGe,alternateName:pGe,url:hGe,description:mGe,conditionsOfAccess:gGe,temporalCoverage:vGe,spatialCoverage:yGe,includedInDataCatalog:bGe,creator:xGe,distribution:wGe,isBasedOn:CGe},SGe="ICE Europe Financials Market Data",EGe="ICE Europe Financials Data - Real-time and Historical Data API",IGe="https://databento.com/datasets/IFLL.IMPACT",AGe=`ICE Europe Financials provides market data for interest rates and financial products traded on ICE Europe Commodities, including contracts such as Euribor, SONIA, Gilts, and Short Sterling. The ICE Europe Commodities iMpact market data feed delivers comprehensive information for these financial instruments, including all listed outrights, spreads, options, and options combinations across all expiration months. This data feed complements the ICE Europe Commodities offering and provides traders with complete visibility into interest rates and financial products traded on the exchange.
480
481Asset class: Futures, Options
482
483Origin: Captured at Aurora DC3 with an FPGA-based network card and hardware timestamping. Synchronized to UTC with PTP
484
485Supported data encodings: DBN, CSV, JSON ([Learn more](https://databento.com/docs/api-reference-historical/basics/encodings))
486
487Supported market data schemas: MBO, MBP-1, MBP-10, TBBO, Trades, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Statistics ([Learn more](https://databento.com/docs/schemas-and-data-formats))
488
489Resolution: Immediate publication, nanosecond-resolution timestamps`,TGe="Acce

489ss to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",kGe="2024-12-10/..",RGe="Europe",NGe={"@type":"DataCatalog","@id":"https://databento.com#data-catalog",name:"Databento",url:"https://databento.com",provider:{"@id":"https://databento.com/about#organization"}},DGe={"@id":"https://databento.com/about#organization"},PGe=[{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"dbn",fileFormat:"dbn",contentUrl:"https://databento.com/datasets/IFLL.IMPACT"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"csv",fileFormat:"csv",contentUrl:"https://databento.com/datasets/IFLL.IMPACT"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"json",fileFormat:"json",contentUrl:"https://databento.com/datasets/IFLL.IMPACT"}],OGe=[{"@type":"Dataset",name:"ICE Europe Financials iMpact",description:"ICE Europe Financials covers European interest rate and equity index derivatives, including futures and options on STIRs, Euribor, SONIA, gilts, and FTSE 100. This service provides prices, statistics, and reference data with L1, L2, and L3 granularity.",publisher:{"@type":"Organization",name:" ICE Futures Europe",url:"https://www.ice.com/futures-europe",sameAs:["https://www.wikidata.org/wiki/Q93355979","https://en.wikipedia.org/wiki/Intercontinental_Exchange"]},url:"https://www.ice.com/products/Futures-Options",includedInDataCatalog:{"@type":"DataCatalog","@id":"https://databento.com#data-catalog",name:"Databento",url:"https://databento.com",provider:{"@id":"https://databento.com/about#organization"}}}],MGe={"@context":"https://schema.org","@type":"Dataset","@id":"https://databento.com/datasets/IFLL.IMPACT",name:SGe,alternateName:EGe,url:IGe,description:AGe,conditionsOfAccess:TGe,temporalCoverage:kGe,spatialCoverage:RGe,includedInDataCatalog:NGe,creator:DGe,distribution:PGe,isBasedOn:OGe},LGe="ICE Futures US Market Data",jGe="ICE Futures US iMpact - Real-time and Historical Data API",FGe="https://databento.com/datasets/IFUS.IMPACT",BGe=`ICE Futures US iMpact is the primary data feed for ICE Futures US and covers the majority of trading in agricultural commodities, including sugar, coffee, cotton, and cocoa futures and options. This comprehensive market data feed also includes financial products such as equity indexes, currencies, and US Treasury futures contracts. The dataset provides complete market depth information across all listed outrights, spreads, options, and options combinations for every expiration month. ICE Futures US represents one of the most significant exchanges for US-based agricultural and financial derivatives, offering essential price discovery and risk management tools for global market participants.
490
491Asset class: Futures, Options
492
493Origin: Captured at Aurora DC3 with an FPGA-based network card and hardware timestamping. Synchronized to UTC with PTP
494
495Supported data encodings: DBN, CSV, JSON ([Learn more](https://databento.com/docs/api-reference-historical/basics/encodings))
496
497Supported market data schemas: MBO, MBP-1, MBP-10, TBBO, Trades, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Statistics ([Learn more](https://databento.com/docs/schemas-and-data-formats))
498
499Resolution: Immediate publication, nanosecond-resolution timestamps`,UGe="Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",$Ge="2018-12-23/..",qGe="Worldwide",HGe={"@type":"DataCatalog","@id":"https://databento.com#data-catalog",name:"Databento",url:"https://databento.com",provider:{"@id":"https://databento.com/about#organization"}},zGe={"@id":"https://databento.com/about#organization"},VGe=[{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"dbn",fileFormat:"dbn",contentUrl:"https://databento.com/datasets/IFUS.IMPACT"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"csv",fileFormat:"csv",contentUrl:"https://databento.com/datasets/IFUS.IMPACT"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"json",fileFormat:"json",contentUrl:"https://databento.com/datasets/IFUS.IMPACT"}],GGe=[{"@type":"Dataset",name:"ICE Futures US iMpact",description:"ICE Futures US iMpact is the primary data feed for ICE Futures US and covers the majority of trading in agricultural commodities, including sugar, coffee, cotton, and cocoa futures and options. This comprehensive market data feed also includes financial products such as equity indexes, currencies, and US Treasury futures contracts. The dataset provides complete market depth information across all listed outrights, spreads, options, and options combinations for every expiration month. ICE Futures US represents one of the most significant exchanges for US-based agricultural and financial derivatives, offering essential price discovery and risk management tools for global market participants.",publisher:{"@type":"Organization",name:"ICE Futures US",url:"https://www.ice.com/futures-us",sameAs:["https://www.wikidata.org/wiki/Q1519402?wprov=acrw1_0","https://en.wikipedia.org/wiki/Intercontinental_Exchange","https://www.marketswiki.com/wiki/ICE_Futures_U.S."],description:"Intercontinental Exchange conducts global futures and options markets in soft commodity, foreign exchange, interest rates, currencies, metals and equity index markets through its U.S. futures exchange, ICE U.S., formerly the New York Board of Trade (NYBOT). The NYBOT was acquired by ICE in January 2007."},url:"https://www.ice.com/products/Futures-Options",includedInDataCatalog:{"@type":"DataCatalog","@id":"https://databento.com#data-catalog",name:"Databento",url:"https://databento.com",provider:{"@id":"https://databento.com/about#organization"}}}],WGe={"@context":"https://schema.org","@type":"Dataset","@id":"https://databento.com/datasets/IFUS.IMPACT",name:LGe,alternateName:jGe,url:FGe,description:BGe,conditionsOfAccess:UGe,temporalCoverage:$Ge,spatialCoverage:qGe,includedInDataCatalog:HGe,creator:zGe,distribution:VGe,isBasedOn:GGe},YGe="Cboe Global Indices INAV | ETF iNAV and IOPV Data",XGe="Intraday indicative values for ETFs and ETPs from Cboe Global Indices INAV",KGe="https://databento.com/datasets/INAV.CGIF",ZGe=`Cboe Global Indices INAV carries intraday indicative values (iNAV, IIV, IOPV) over the Cboe Global Indices Feed (CGIF) - real-time fair value estimates for more than 200 ETFs, ETPs, and structured products.
500
501Asset class: Indices
502
503Supported data encodings: DBN, CSV, JSON ([Learn more](https://databento.com/docs/api-reference-historical/basics/encodings))
504
505Supported market data schemas: MBP-1, BBO-1s, BBO-1m, Trades, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Statistics, Status ([Learn more](https://databento.com/docs/schemas-and-data-formats))
506
507Resolution: Immediate publication, nanosecond-resolution timestamps`,JGe="Acce

507ss to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",QGe="2026-01-04/..",eWe="United States",tWe={"@type":"DataCatalog","@id":"https://databento.com#data-catalog",name:"Databento",url:"https://databento.com",provider:{"@id":"https://databento.com/about#organization"}},nWe={"@id":"https://databento.com/about#organization"},rWe=[{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"dbn",fileFormat:"dbn",contentUrl:"https://databento.com/datasets/INAV.CGIF"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"csv",fileFormat:"csv",contentUrl:"https://databento.com/datasets/INAV.CGIF"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"json",fileFormat:"json",contentUrl:"https://databento.com/datasets/INAV.CGIF"}],aWe=[{"@type":"Dataset",name:"Cboe Global Indices Feed (CGIF)",description:"The Cboe Global Indices Feed (CGIF) disseminates index values, and the instrument definitions and statistics that accompany them, over Cboe Titanium. It carries Cboe's own benchmark, volatility, and strategy indices alongside third-party series licensed from MSCI, FTSE Russell, and Morningstar, plus cryptocurrency reference prices and intraday indicative values for ETFs.",publisher:{"@type":"Organization",name:"Cboe Global Markets",url:"https://www.cboe.com/indices/",sameAs:["https://en.wikipedia.org/wiki/Cboe_Global_Markets","https://www.wikidata.org/wiki/Q30635731"]},url:"https://www.cboe.com/data/global-indices-feed"}],sWe={"@context":"https://schema.org","@type":"Dataset","@id":"https://databento.com/datasets/INAV.CGIF",name:YGe,alternateName:XGe,url:KGe,description:ZGe,conditionsOfAccess:JGe,temporalCoverage:QGe,spatialCoverage:eWe,includedInDataCatalog:tWe,creator:nWe,distribution:rWe,isBasedOn:aWe},iWe="IntelligentCross Market Data and APIs | Databento",oWe="IntelligentCross IQX data feed",lWe="https://databento.com/datasets/INCR.IQX",cWe=`IntelligentCross IQX is the primary market data feed for IntelligentCross, an AI-powered Alternative Trading System (ATS) that optimizes trading in US equities. This innovative data feed covers trading activity across major US stock exchanges, featuring precise microsecond-level timestamps and comprehensive order book data. The dataset includes all US equities traded on the IntelligentCross ASPEN and APEX platforms, which are designed to reduce market impact and minimize slippage for institutional investors. IntelligentCross IQX provides detailed insights into trade execution quality, price discovery, and liquidity patterns across its technologically advanced trading venues. This data feed offers valuable intelligence for traders, quants, and researchers seeking to optimize execution strategies and understand market microstructure in the US equities landscape.
508
509Asset class(es):
510  Equities
511
512  Origin: Directly captured at Equinix NY4 (Secaucus, NJ) with an FPGA-based network card and hardware timestamping. Synchronized to UTC with PTP.
513
514  Supported data encodings:
515  DBN, CSV, JSON [Learn more](https://databento.com/docs/api-reference-historical/basics/encodings)
516
517  Supported market data schemas:
518  MBO, MBP-1, MBP-10, TBBO, Trades, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Imbalance [Learn more](https://databento.com/docs/schemas-and-data-formats)
519
520  Resolution:
521  Immediate publication, nanosecond-resolution timestamps
522  `,uWe="Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",dWe="2024-09-16/..",fWe="United States",pWe={"@type":"DataCatalog","@id":"https://databento.com#data-catalog",name:"Databento",url:"https://databento.com",provider:{"@id":"https://databento.com/about#organization"}},hWe={"@id":"https://databento.com/about#organization"},mWe=[{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"dbn",fileFormat:"dbn",contentUrl:"https://databento.com/datasets/INCR.IQX"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"csv",fileFormat:"csv",contentUrl:"https://databento.com/datasets/INCR.IQX"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"json",fileFormat:"json",contentUrl:"https://databento.com/datasets/INCR.IQX"}],gWe=[{"@type":"Dataset",name:"IntelligentCross IQX",description:"IntelligentCross IQX is the primary market data feed for IntelligentCross, an AI-powered Alternative Trading System (ATS) that optimizes trading in US equities.",publisher:{"@type":"Organization",name:"Imperative Execution",url:"https://www.imperativex.com",sameAs:["https://www.marketswiki.com/wiki/Imperative_Execution"]},url:"https://www.imperativex.com/intelligentcross",sameAs:["https://www.imperativex.com/products","https://www.wikidata.org/wiki/Q93360212"]}],vWe={"@context":"https://schema.org","@type":"Dataset","@id":"https://databento.com/datasets/INCR.IQX",name:iWe,alternateName:oWe,url:lWe,description:cWe,conditionsOfAccess:uWe,temporalCoverage:dWe,spatialCoverage:fWe,includedInDataCatalog:pWe,creator:hWe,distribution:mWe,isBasedOn:gWe},yWe="Indices Data & APIs - Real-time and Historical Index Data | Databento",bWe="Index data API - Download historical index price data",xWe="https://databento.com/indices",wWe=`Download real-time and historical index data for the S&P 500 (SPX), Cboe Volatility Index (VIX), Dow Jones (DJX), Russell 2000, FTSE 100, MSCI, and 1,600+ global benchmarks.
523
524Access index values, the instrument definitions and daily statistics that accompany them, and intraday indicative values for ETFs, through one integration with our Python, Rust, and C++ APIs.`,CWe="Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",_We="2026-01-04/..",SWe="Worldwide",EWe=[{"@type":"DataCatalog","@id":"https://databento.com/datasets/MAIN.CGIF",name:"Cboe Global Indices MAIN dataset | Databento",url:"https://databento.com/datasets/MAIN.CGIF",provider:{"@id":"https://databento.com/about#organization"}},{"@type":"DataCatalog","@id":"https://databento.com/datasets/CGI.CGIF",name:"Cboe Global Indices CGI dataset | Databento",url:"https://databento.com/datasets/CGI.CGIF",provider:{"@id":"https://databento.com/about#organization"}},{"@type":"DataCatalog","@id":"https://databento.com/datasets/MSCI.CGIF",name:"Cboe Global Indices MSCI dataset | Databento",url:"https://databento.com/datasets/MSCI.CGIF",provider:{"@id":"https://databento.com/about#organization"}},{"@type":"DataCatalog","@id":"https://databento.com/datasets/FTSE.CGIF",name:"Cboe Global Indices FTSE Russell dataset | Databento",url:"https://databento.com/datasets/FTSE.CGIF",provider:{"@id":"https://databento.com/about#organization"}},{"@type":"DataCatalog","@id":"https://databento.com/datasets/MSTAR.CGIF",name:"Cboe Global Indices Morningstar dataset | Databento",url:"https://databento.com/datasets/MSTAR.CGIF",provider:{"@id":"https://databento.com/about#organization"}},{"@type":"DataCatalog","@id":"https://databento.com/datasets/CCCY.CGIF",name:"Cboe Global Indices CCCY dataset | Databento",url:"https://databento.com/datasets/CCCY.CGIF",provider:{"@id":"https://databento.com/about#organization"}},{"@type":"DataCatalog","@id":"https://databento.com/datasets/INAV.CGIF",name:"Cboe Global Indices INAV dataset | Databento",url:"https://databento.com/datasets/INAV.CGIF",provider:{"@id":"https://databento.com/about#organization"}},{"@type":"DataCatalog","@id":"https://databento.com#data-catalog",name:"Databento",url:"https://databento.com",provider:{"@id":"https://databento.com/about#organization"}}

524],IWe={"@id":"https://databento.com/about#organization"},AWe=[{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"dbn",fileFormat:"dbn",contentUrl:"https://databento.com"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"csv",fileFormat:"csv",contentUrl:"https://databento.com"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"json",fileFormat:"json",contentUrl:"https://databento.com"}],TWe=["https://www.cboe.com/data/global-indices-feed"],kWe={"@context":"https://schema.org","@type":"Dataset","@id":"https://databento.com/indices",name:yWe,alternateName:bWe,url:xWe,description:wWe,conditionsOfAccess:CWe,temporalCoverage:_We,spatialCoverage:SWe,includedInDataCatalog:EWe,creator:IWe,distribution:AWe,sameAs:TWe},RWe="Real-Time Market Data & APIs | Databento",NWe="Real-time stock market API - Access indices data and more",DWe="https://databento.com/live",PWe="Leverage Databento's real-time stock API to get tick data with full order book depth (MBO). Offering seamless intraday market replay in a single API call.",OWe="Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",MWe="2017-05-21/..",LWe="Worldwide",jWe={"@type":"DataCatalog","@id":"https://databento.com#data-catalog",name:"Databento",url:"https://databento.com",provider:{"@id":"https://databento.com/about#organization"}},FWe={"@id":"https://databento.com/about#organization"},BWe=[{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"csv",fileFormat:"csv",contentUrl:"https://databento.com"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"json",fileFormat:"json",contentUrl:"https://databento.com"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"parquet",fileFormat:"parquet",contentUrl:"https://databento.com"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"dbn",fileFormat:"dbn",contentUrl:"https://databento.com"}],UWe={"@context":"https://schema.org","@type":"Dataset","@id":"https://databento.com/live",name:RWe,alternateName:NWe,url:DWe,description:PWe,conditionsOfAccess:OWe,temporalCoverage:MWe,spatialCoverage:LWe,includedInDataCatalog:jWe,creator:FWe,distribution:BWe},$We="Cboe Global Indices MAIN | S&P 500 and VIX Index Data",qWe="SPX and VIX index values from Cboe Global Indices MAIN",HWe="https://databento.com/datasets/MAIN.CGIF",zWe=`Cboe Global Indices MAIN carries the flagship benchmarks distributed over the Cboe Global Indices Feed (CGIF), including the S&P 500 Index (SPX) and the Cboe Volatility Index (VIX), plus the related volatility and skew measures used across the derivatives market.
525
526Asset class: Indices
527
528Supported data encodings: DBN, CSV, JSON ([Learn more](https://databento.com/docs/api-reference-historical/basics/encodings))
529
530Supported market data schemas: MBP-1, BBO-1s, BBO-1m, Trades, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Statistics, Status ([Learn more](https://databento.com/docs/schemas-and-data-formats))
531
532Resolution: Immediate publication, nanosecond-resolution timestamps`,VWe="Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",GWe="2026-01-04/..",WWe="United States",YWe={"@type":"DataCatalog","@id":"https://databento.com#data-catalog",name:"Databento",url:"https://databento.com",provider:{"@id":"https://databento.com/about#organization"}},XWe={"@id":"https://databento.com/about#organization"},KWe=[{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"dbn",fileFormat:"dbn",contentUrl:"https://databento.com/datasets/MAIN.CGIF"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"csv",fileFormat:"csv",contentUrl:"https://databento.com/datasets/MAIN.CGIF"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"json",fileFormat:"json",contentUrl:"https://databento.com/datasets/MAIN.CGIF"}],ZWe=[{"@type":"Dataset",name:"Cboe Global Indices Feed (CGIF)",description:"The Cboe Global Indices Feed (CGIF) disseminates index values, and the instrument definitions and statistics that accompany them, over Cboe Titanium. It carries Cboe's own benchmark, volatility, and strategy indices alongside third-party series licensed from MSCI, FTSE Russell, and Morningstar, plus cryptocurrency reference prices and intraday indicative values for ETFs.",publisher:{"@type":"Organization",name:"Cboe Global Markets",url:"https://www.cboe.com/indices/",sameAs:["https://en.wikipedia.org/wiki/Cboe_Global_Markets","https://www.wikidata.org/wiki/Q30635731"]},url:"https://www.cboe.com/data/global-indices-feed"}],JWe={"@context":"https://schema.org","@type":"Dataset","@id":"https://databento.com/datasets/MAIN.CGIF",name:$We,alternateName:qWe,url:HWe,description:zWe,conditionsOfAccess:VWe,temporalCoverage:GWe,spatialCoverage:WWe,includedInDataCatalog:YWe,creator:XWe,distribution:KWe,isBasedOn:ZWe},QWe="MEMX MEMOIR Depth Market Data and APIs | Databento",eYe="MEMX MEMOIR Depth full order book and trades feed",tYe="https://databento.com/datasets/MEMX.MEMOIR",nYe=`Breadth of coverage:
533  14,160 products
534
535  Asset class(es):
536  Equities
537
538  Origin: Directly captured at Equinix NY4 (Secaucus, NJ) with an FPGA-based network card and hardware timestamping. Synchronized to UTC with PTP.
539
540  Supported data encodings:
541  DBN, CSV, JSON [Learn more](https://databento.com/docs/api-reference-historical/basics/encodings)
542
543  Supported market data schemas:
544  MBO, MBP-1, MBP-10, TBBO, Trades, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Imbalance [Learn more](https://databento.com/docs/schemas-and-data-formats)
545
546  Resolution:
547  Immediate publication, nanosecond-resolution timestamps
548  `,rYe="Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",aYe="United States",sYe={"@type":"Dataset","@id":"https://databento.com/equities",name:"Databento US Equities Market Data and APIs",url:"https://databento.com/equities",description:`Breadth of coverage:
549  14,160 products
550
551  Asset class(es):
552  Equities
553
554  Origin: Directly captured at Equinix NY4 (Secaucus, NJ) with an FPGA-based network card and hardware timestamping. Synchronized to UTC with PTP.
555
556  Supported data encodings:
557  DBN, CSV, JSON [Learn more](https://databento.com/docs/api-reference-historical/basics/encodings)
558
559  Supported market data schemas:
560  MBO, MBP-1, MBP-10, TBBO, Trades, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Imbalance [Learn more](https://databento.com/docs/schemas-and-data-formats)
561
562  Resolution:
563  Immediate publication, nanosecond-resolution timestamps
564  `,conditionsOfAccess:"Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",temporalCoverage:"2018-05-01/..",spatialCoverage:"United States",includedInDataCatalog:{"@type":"DataCatalog","@id":"https://databento.com#data-catalog",name:"Databento",url:"https://databento.com",provider:{"@id":"https://databento.com/about#organization"}}},iYe={"@id":"https://databento.com/about#organization"},oYe=[{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"dbn",fileFormat:"dbn",contentUrl:"https://databento.com/datasets/MEMX.MEMOIR"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"csv",fileFormat:"csv",contentUrl:"https://databento.com/datasets/MEMX.MEMOIR"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"json",fileFormat:"json",contentUrl:"https://databento.com/datasets/MEMX.MEMOIR"}],lYe=[{"@type":"Dataset",name:"MEMX MEMOIR Depth",description:"MEMOIR (MEMber’s Order Information Record) Depth is a data feed that contains all displayed orders for listed securities trading on the Exchange, order executions, order cancellations, order modifications, order identification numbers, and administrative messages.",publisher:{"@type":"Organization",name:"Members Exchange (MEMX)",url:"https://memx.com",sameAs:["https://en.wikipedia.org/wiki/Members_Exchange","https://www.wikidata.org/wiki/Q30290565","https://www.marketswiki.com/wiki/Members_Exchange_(MEMX)"]},url:"https://info.memxtrading.com/membership-connectivity-and-market-data-documents/",sameAs:["https://info.memxtrading.com/equities-trading-resources"]}],cYe={"@context":"https://schema.org","@type":"Dataset","@id":"https://databento.com/datasets/MEMX.MEMOIR",name:QWe,alternateName:eYe,url:tYe,description:nYe,conditionsOfAccess:rYe,spatialCoverage:aYe,isPartOf:sYe,creator:iYe,distribution:oYe,isBasedOn:lYe},uYe="Cboe Global Indices MSCI | MSCI Benchmark Index Data",dYe="MSCI EAFE, Emerging Markets, and World index values",fYe="https://databento.com/datasets/MSCI.CGIF",pYe=`Cboe Global Indices MSCI carries MSCI's global, regional, and emerging-market benchmark series over the Cboe Global Indices Feed (CGIF). These benchmarks are widely used for international portfolio construction, performance attribution, and reporting.
565
566Asset class: Indices
567
568Supported data encodings: DBN, CSV, JSON ([Learn more](https://databento.com/docs/api-reference-historical/basics/encodings))
569
570Supported market data schemas: MBP-1, BBO-1s, BBO-1m, Trades, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Statistics, Status ([Learn more](https://databento.com/docs/schemas-and-data-formats))
571
572Resolution: Immediate publication, nanosecond-resolution timestamps`,hYe="Acce

572ss to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",mYe="2026-01-04/..",gYe="Worldwide",vYe={"@type":"DataCatalog","@id":"https://databento.com#data-catalog",name:"Databento",url:"https://databento.com",provider:{"@id":"https://databento.com/about#organization"}},yYe={"@id":"https://databento.com/about#organization"},bYe=[{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"dbn",fileFormat:"dbn",contentUrl:"https://databento.com/datasets/MSCI.CGIF"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"csv",fileFormat:"csv",contentUrl:"https://databento.com/datasets/MSCI.CGIF"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"json",fileFormat:"json",contentUrl:"https://databento.com/datasets/MSCI.CGIF"}],xYe=[{"@type":"Dataset",name:"Cboe Global Indices Feed (CGIF)",description:"The Cboe Global Indices Feed (CGIF) disseminates index values, and the instrument definitions and statistics that accompany them, over Cboe Titanium. It carries Cboe's own benchmark, volatility, and strategy indices alongside third-party series licensed from MSCI, FTSE Russell, and Morningstar, plus cryptocurrency reference prices and intraday indicative values for ETFs.",publisher:{"@type":"Organization",name:"Cboe Global Markets",url:"https://www.cboe.com/indices/",sameAs:["https://en.wikipedia.org/wiki/Cboe_Global_Markets","https://www.wikidata.org/wiki/Q30635731"]},url:"https://www.cboe.com/data/global-indices-feed"}],wYe={"@context":"https://schema.org","@type":"Dataset","@id":"https://databento.com/datasets/MSCI.CGIF",name:uYe,alternateName:dYe,url:fYe,description:pYe,conditionsOfAccess:hYe,temporalCoverage:mYe,spatialCoverage:gYe,includedInDataCatalog:vYe,creator:yYe,distribution:bYe,isBasedOn:xYe},CYe="Cboe Global Indices Morningstar | Morningstar Index Data",_Ye="Morningstar broad market, sector, and style-box index values",SYe="https://databento.com/datasets/MSTAR.CGIF",EYe=`Cboe Global Indices Morningstar carries Morningstar's index series over the Cboe Global Indices Feed (CGIF), spanning broad market, sector, and style-box benchmarks used across the fund and ETF benchmarking industry.
573
574Asset class: Indices
575
576Supported data encodings: DBN, CSV, JSON ([Learn more](https://databento.com/docs/api-reference-historical/basics/encodings))
577
578Supported market data schemas: MBP-1, BBO-1s, BBO-1m, Trades, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Statistics, Status ([Learn more](https://databento.com/docs/schemas-and-data-formats))
579
580Resolution: Immediate publication, nanosecond-resolution timestamps`,IYe="Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",AYe="2026-01-04/..",TYe="United States",kYe={"@type":"DataCatalog","@id":"https://databento.com#data-catalog",name:"Databento",url:"https://databento.com",provider:{"@id":"https://databento.com/about#organization"}},RYe={"@id":"https://databento.com/about#organization"},NYe=[{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"dbn",fileFormat:"dbn",contentUrl:"https://databento.com/datasets/MSTAR.CGIF"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"csv",fileFormat:"csv",contentUrl:"https://databento.com/datasets/MSTAR.CGIF"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"json",fileFormat:"json",contentUrl:"https://databento.com/datasets/MSTAR.CGIF"}],DYe=[{"@type":"Dataset",name:"Cboe Global Indices Feed (CGIF)",description:"The Cboe Global Indices Feed (CGIF) disseminates index values, and the instrument definitions and statistics that accompany them, over Cboe Titanium. It carries Cboe's own benchmark, volatility, and strategy indices alongside third-party series licensed from MSCI, FTSE Russell, and Morningstar, plus cryptocurrency reference prices and intraday indicative values for ETFs.",publisher:{"@type":"Organization",name:"Cboe Global Markets",url:"https://www.cboe.com/indices/",sameAs:["https://en.wikipedia.org/wiki/Cboe_Global_Markets","https://www.wikidata.org/wiki/Q30635731"]},url:"https://www.cboe.com/data/global-indices-feed"}],PYe={"@context":"https://schema.org","@type":"Dataset","@id":"https://databento.com/datasets/MSTAR.CGIF",name:CYe,alternateName:_Ye,url:SYe,description:EYe,conditionsOfAccess:IYe,temporalCoverage:AYe,spatialCoverage:TYe,includedInDataCatalog:kYe,creator:RYe,distribution:NYe,isBasedOn:DYe},OYe="Energy futures and options prices | ICE Endex iMpact",MYe="Natural gas and energy futures and options data from ICE Endex",LYe="https://databento.com/datasets/NDEX.IMPACT",jYe=`Get natural gas historical data, energy prices historical data, and more. ICE Endex iMpact is the primary data feed for ICE Endex, the leading energy exchange in continental Europe. It covers a diverse range of energy products, including European gas, emissions, and power markets, providing valuable data for energy firms, EU ETS compliance entities, and financial participants to effectively manage price risk. This dataset includes all listed spot contracts, outrights, spreads, options, and options combinations on ICE Endex.
581
582Asset class: Futures, Options
583
584Origin: Captured at Aurora DC3 with an FPGA-based network card and hardware timestamping. Synchronized to UTC with PTP
585
586Supported data encodings: DBN, CSV, JSON ([Learn more](https://databento.com/docs/api-reference-historical/basics/encodings))
587
588Supported market data schemas: MBO, MBP-1, MBP-10, TBBO, Trades, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Statistics ([Learn more](https://databento.com/docs/schemas-and-data-formats))
589
590Resolution: Immediate publication, nanosecond-resolution timestamps`,FYe="Acce

590ss to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",BYe="2018-12-23/..",UYe="Europe",$Ye={"@type":"DataCatalog","@id":"https://databento.com#data-catalog",name:"Databento",url:"https://databento.com",provider:{"@id":"https://databento.com/about#organization"}},qYe={"@id":"https://databento.com/about#organization"},HYe=[{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"dbn",fileFormat:"dbn",contentUrl:"https://databento.com/datasets/NDEX.IMPACT"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"csv",fileFormat:"csv",contentUrl:"https://databento.com/datasets/NDEX.IMPACT"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"json",fileFormat:"json",contentUrl:"https://databento.com/datasets/NDEX.IMPACT"}],zYe=[{"@type":"Dataset",name:"ICE Endex iMpact",description:"ICE Endex iMpact is the primary data feed for ICE Endex, the leading energy exchange in continental Europe. It covers a diverse range of energy products, including European gas, emissions, and power markets, providing valuable data for energy firms, EU ETS compliance entities, and financial participants to effectively manage price risk. This dataset includes all listed spot contracts, outrights, spreads, options, and options combinations on ICE Endex.",publisher:{"@type":"Organization",name:"ICE Endex",url:"https://www.ice.com/endex",sameAs:["https://www.wikidata.org/wiki/Q93356837","https://en.wikipedia.org/wiki/Intercontinental_Exchange"],description:'As the leading energy exchange in continental Europe, ICE Endex provides liquid European gas, emissions and power markets that enable energy firms, EU ETS compliance entities and financial participants to effectively manage price risk. ICE Endex offers direct market access and a regulated futures and options platform, as well as gas balancing markets in the Netherlands and the U.K. (OCM) ICE Endex also operates a Central Limited Order Book ("CLOB") and block trading facility for equity derivatives.'},url:"https://www.ice.com/products/Futures-Options",includedInDataCatalog:{"@type":"DataCatalog","@id":"https://databento.com#data-catalog",name:"Databento",url:"https://databento.com",provider:{"@id":"https://databento.com/about#organization"}}}],VYe={"@context":"https://schema.org","@type":"Dataset","@id":"https://databento.com/datasets/NDEX.IMPACT",name:OYe,alternateName:MYe,url:LYe,description:jYe,conditionsOfAccess:FYe,temporalCoverage:BYe,spatialCoverage:UYe,includedInDataCatalog:$Ye,creator:qYe,distribution:HYe,isBasedOn:zYe},GYe="Blue Ocean ATS (BOATS) After-hours Trading Data",WYe="After-hours and post-market price data from Blue Ocean ATS MEMOIR Depth",YYe="https://databento.com/datasets/OCEA.MEMOIR",XYe=`Blue Ocean ATS (BOATS) is recognized as a leading marketplace for overnight trading, operating an overnight session, the Blue Ocean Session, from 8:00 pm to 4:00 am ET, Sunday through Thursday. This window enables trading on US equities while many other exchanges and venues are closed, and is especially convenient for anyone operating in the Asia-Pacific or other international time zones.
591
592Asset class: Equities
593
594Origin: Directly captured at Equinix NY4 (Secaucus, NJ) with an FPGA-based network card and hardware timestamping. Synchronized to UTC with PTP.
595
596Supported data encodings: DBN, CSV, JSON ([Learn more](https://databento.com/docs/api-reference-historical/basics/encodings))
597
598Supported market data schemas: MBO, MBP-1, MBP-10, TBBO, Trades, BBO-1s, BBO-1m, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Imbalance, Statistics, Status ([Learn more](https://databento.com/docs/schemas-and-data-formats))
599
600Resolution: Immediate publication, nanosecond-resolution timestamps`,KYe="Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",ZYe="2025-08-24/..",JYe="United States",QYe={"@type":"Dataset","@id":"https://databento.com/equities",name:"Databento US Equities Market Data and APIs",url:"https://databento.com/equities",description:`Breadth of coverage:
601  14,160 products
602
603  Asset class(es):
604  Equities
605
606  Origin: Directly captured at Equinix NY4 (Secaucus, NJ) with an FPGA-based network card and hardware timestamping. Synchronized to UTC with PTP.
607
608  Supported data encodings:
609  DBN, CSV, JSON [Learn more](https://databento.com/docs/api-reference-historical/basics/encodings)
610
611  Supported market data schemas:
612  MBO, MBP-1, MBP-10, TBBO, Trades, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Imbalance [Learn more](https://databento.com/docs/schemas-and-data-formats)
613
614  Resolution:
615  Immediate publication, nanosecond-resolution timestamps
616  `,conditionsOfAccess:"Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",temporalCoverage:"2018-05-01/..",spatialCoverage:"United States",includedInDataCatalog:{"@type":"DataCatalog","@id":"https://databento.com#data-catalog",name:"Databento",url:"https://databento.com",provider:{"@id":"https://databento.com/about#organization"}}},eXe={"@id":"https://databento.com/about#organization"},tXe=[{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"dbn",fileFormat:"dbn",contentUrl:"https://databento.com/datasets/OCEA.MEMOIR"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"csv",fileFormat:"csv",contentUrl:"https://databento.com/datasets/OCEA.MEMOIR"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"json",fileFormat:"json",contentUrl:"https://databento.com/datasets/OCEA.MEMOIR"}],nXe=[{"@type":"Dataset","@id":"https://blueocean-tech.io/trading-updates",name:"Blue Ocean ATS after-hours market data",alternateName:"Post-market price data",description:"Blue Ocean Technologies (BOT) is a fintech company focused on providing after hours trading and data solutions to global investors. It was founded by trading industry veterans in 2016 with the vision of evolving market structure to make trading more accessible for all investors after traditional US eastern time trading hours. BOT created an alternative trading system (ATS), Blue Ocean ATS to match buy/sell orders of US National Market System (NMS) stocks during US overnight hours, from 8:00 PM ET – 4:00 AM ET (Sunday – Thursday).",publisher:{"@type":"Organization",name:"Blue Ocean Technologies, LLC",url:"https://blueocean-tech.io/",sameAs:["https://blueocean-tech.io/blue-ocean-ats"]},url:"https://blueocean-tech.io/trading-updates"}],rXe={"@context":"https://schema.org","@type":"Dataset","@id":"https://databento.com/datasets/OCEA.MEMOIR",name:GYe,alternateName:WYe,url:YYe,de

616scription:XYe,conditionsOfAccess:KYe,temporalCoverage:ZYe,spatialCoverage:JYe,isPartOf:QYe,creator:eXe,distribution:tXe,isBasedOn:nXe},aXe="US Equity Options, Index Options, ETF Options Data (OPRA)",sXe="Historical options data from the OPRA dataset, including consolidated last sale, exchange BBO, and NBBO",iXe="https://databento.com/datasets/OPRA.PILLAR",oXe=`Databento's OPRA (Options Price Reporting Authority) dataset provides consolidated trades and NBBO across US options venues, covering all 18 national exchanges. Participants include BOX Options, Cboe BZX Options, Cboe C2 Options, Cboe EDGX Options, Cboe Options, MIAX Options, MIAX Emerald, MIAX Pearl, Nasdaq BX, Nasdaq GEMX, Nasdaq ISE, Nasdaq MRX, Nasdaq PHLX, Nasdaq Options, NYSE American Options, and NYSE Arca Options. OPRA data is captured and published at our Equinix NY4 colo and is available over our Python, Rust, and C++ clients and market data APIs.
617
618  Consolidated last sale, exchange BBO and national BBO across all US equity options exchanges. Includes single name stock options (e.g. TSLA), options on ETFs (e.g. SPY, QQQ), index options (e.g. VIX), and some indices (e.g. SPIKE and VSPKE).
619This dataset is based on the newer, binary OPRA feed after the migration to SIAC's OPRA Pillar SIP in 2021.
620OPRA is notable for the size of its data and we recommend users to anticipate several TBs of data per day for the full dataset in its highest granularity (MBP-1).
621
622  Breadth of coverage:
623  7,604 products
624
625  Asset class(es):
626  Options
627
628  Origin: Options Price Reporting Authority
629
630  Supported data encodings:
631  DBN, JSON, CSV [Learn more](https://databento.com/docs/api-reference-historical/basics/encodings)
632
633  Supported market data schemas:
634  MBP-1, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, TBBO, Trades, Statistics, Definition [Learn more](https://databento.com/docs/schemas-and-data-formats)
635
636  Resolution:
637  Immediate publication, nanosecond-resolution timestamps
638  `,lXe="Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",cXe="2023-03-28/..",uXe="United States",dXe={"@type":"DataCatalog","@id":"https://databento.com#data-catalog",name:"Databento",url:"https://databento.com",provider:{"@id":"https://databento.com/about#organization"}},fXe={"@id":"https://databento.com/about#organization"},pXe=[{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"dbn",fileFormat:"dbn",contentUrl:"https://databento.com/datasets/OPRA.PILLAR"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"csv",fileFormat:"csv",contentUrl:"https://databento.com/datasets/OPRA.PILLAR"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"json",fileFormat:"json",contentUrl:"https://databento.com/datasets/OPRA.PILLAR"}],hXe=JSON.parse(`[{"@type":"Dataset","@id":"https://databento.com/datasets/OPRA.PILLAR","name":"OPRA (Options Price Reporting Authority)","description":"Consolidated last sale, exchange BBO and national BBO across all US equity options exchanges. 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C2 was partially designed to compete against companies with multiple exchanges and various pricing structures. ","url":"https://www.cboe.com/us/options/market_statistics/symbol_data/?mkt=ctwo","publisher":{"@type":"Organization","url":"https://www.cboe.com/us/options","name":"Cboe C2 Options Exchange","sameAs":["https://www.wikidata.org/wiki/Q107188694","https://www.cboe.com"]},"isPartOf":{"@type":"Dataset","@id":"https://databento.com/datasets/OPRA.PILLAR"}},{"@type":"Dataset","@id":"https://www.cboe.com/us/options/market_statistics/symbol_data/?mkt=exo","name":"Cboe EDGX Options Market Data (US Equity Options)","alternateName":"Part of the OPRA dataset provided by Databento","description":"Access real-time and historical US equity options data included as part of Databento's OPRA data feed. Cboe E

638DGX is an all-electronic options exchange that holds a classic pro rata/customer priority/designated market maker (DMM) model, and was designed to complement Cboe BZX.","url":"https://www.cboe.com/us/options/market_statistics/symbol_data/?mkt=exo","publisher":{"@type":"Organization","url":"https://www.cboe.com/us/options","name":"Cboe EDGX Options Exchange","sameAs":["https://www.wikidata.org/wiki/Q107223052","https://www.cboe.com"]},"isPartOf":{"@type":"Dataset","@id":"https://databento.com/datasets/OPRA.PILLAR"}},{"@type":"Dataset","@id":"https://www.miaxglobal.com/markets/us-options/miax-options/market-data","name":"MIAX Options Market Data (US Equity Options)","alternateName":"Part of the OPRA dataset provided by Databento","description":"Access real-time and historical US equity options data included as part of Databento's OPRA data feed. MIAX Options is the first all-electronic options exchange under Miami International Holdings. 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It was designed to act as a counterpart to MIAX Options, mainly focusing on Simple Orders.","url":"https://www.miaxglobal.com/markets/us-options/pearl-options/market-data","publisher":{"@type":"Organization","name":"MIAX Pearl Options Exchange","url":"https://www.miaxglobal.com/markets/us-options/pearl-options","sameAs":["https://www.wikidata.org/wiki/Q107227771","https://www.miaxglobal.com"]},"isPartOf":{"@type":"Dataset","@id":"https://databento.com/datasets/OPRA.PILLAR"}},{"@type":"Dataset","@id":"https://www.miaxglobal.com/markets/us-options/emerald-options/market-data","name":"MIAX Emerald Options Market Data (US Equity Options)","alternateName":"Part of the OPRA dataset provided by Databento","description":"Access real-time and historical US equity options data included as part of Databento's OPRA data feed. MIAX Emerald is an all-electronic options exchange that holds a maker-taker and pro-rata allocation model, encouraging market participants to quote in large bid and offer sizes. It was designed to act as a counterpart to both MIAX Options and MIAX Pearl, focusing on both Simple Orders/Quotes and Complex Orders/Quotes.","url":"https://www.miaxglobal.com/markets/us-options/emerald-options/market-data","publisher":{"@type":"Organization","name":"MIAX Emerald Options Exchange","url":"https://www.miaxglobal.com/markets/us-options/emerald-options","sameAs":["https://www.wikidata.org/wiki/Q107223109","https://www.miaxglobal.com"]},"isPartOf":{"@type":"Dataset","@id":"https://databento.com/datasets/OPRA.PILLAR"}},{"@type":"Dataset","@id":"https://www.miaxglobal.com/markets/us-options/sapphire-options/market-data","name":"MIAX Sapphire Options Market Data (US Equity Options)","alternateName":"Part of the OPRA dataset provided by Databento","description":"Access real-time and historical US equity options data included as part of Databento's OPRA data feed. MIAX Sapphire is an all-electronic options exchange that holds a taker-maker and price-time allocation model.","url":"https://www.miaxglobal.com/markets/us-options/sapphire-options/market-data","publisher":{"@type":"Organization","name":"MIAX Sapphire Options Exchange","url":"https://www.miaxglobal.com/markets/us-options/sapphire-options","sameAs":["https://www.miaxglobal.com"]},"isPartOf":{"@type":"Dataset","@id":"https://databento.com/datasets/OPRA.PILLAR"}},{"@type":"Dataset","@id":"http://www.nasdaqtrader.com/micro.aspx?id=bono","name":"Nasdaq Options Market Data (US Equity Options)","alternateName":"Part of the OPRA dataset provided by Databento","description":"Access real-time and historical US equity options data included as part of Databento's OPRA data feed. The NASDAQ Options Market offers immediate and automatic price improvement to orders. Orders designated to use the options routing feature are routed to other markets to ensure orders get the best price available. The NASDAQ Options Market also links to and complies with the obligations of the Options InterMarket Linkage.","url":"http://www.nasdaqtrader.com/micro.aspx?id=bono","sameAs":"https://data.nasdaq.com/databases/BONO/documentation","publisher":{"@type":"Organization","name":"Nasdaq Options Market","url":"https://www.nasdaq.com/solutions/nasdaq-nom","sameAs":["https://www.wikidata.org/wiki/Q107188882","https://www.nasdaq.com"]},"isPartOf":{"@type":"Dataset","@id":"https://databento.com/datasets/OPRA.PILLAR"}},{"@type":"Dataset","@id":"http://www.nasdaqtrader.com/micro.aspx?id=bxoptionstop","name":"Nasdaq BX Options Market Data (US Equity Options)","alternateName":"Part of the OPRA dataset provided by Databento","description":"Access real-time and historical US equity options data included as part of Databento's OPRA data feed. Nasdaq BX utilizes a taker-maker pricing model and offers economic incentives for liquidity takers. Nasdaq BX features popular order types such as Mid-Point Peg and Post-Only orders, Order Modify functionality and Self Match Prevention. It also offers a Retail Price Improvement Program for retail investors.","url":"http://www.nasdaqtrader.com/micro.aspx?id=bxoptionstop","sameAs":"https://data.nasdaq.com/databases/NBTB/documentation","publisher":{"@type":"Organization","name":"Nasdaq BX Options","url":"https://www.nasdaq.com/solutions/nasdaq-bx","sameAs":["https://www.wikidata.org/wiki/Q107189146","https://www.nasdaq.com"]},"isPartOf":{"@type":"Dataset","@id":"https://databento.com/datasets/OPRA.PILLAR"}},{"@type":"Dataset","@id":"http://www.nasdaqtrader.com/Micro.aspx?id=TOPO","name":"Nasdaq PHLX Market Data (US Equity Options)","alternateName":"Part of the OPRA dataset provided by Databento","description":"Access real-time and historical US equity options data included as part of Databento's OPRA data feed. Nasdaq PHLX is a full service options trading platform offering both electronic and floor-based trading. PHLX runs a customer priority, pro rata allocation model focused on executions for Complex and Simple Orders. Features of PHLX include: price improvement on XL (PIXL), complex order systerm, flexible routing strategies, and more.","url":"http://www.nasdaqtrader.com/Micro.aspx?id=TOPO","sameAs":"https://data.nasdaq.com/databases/NPTB/documentation","publisher":{"@type":"Organization","name":"Nasdaq PHLX","url":"https://www.nasdaq.com/solutions/nasdaq-phlx","sameAs":["https://www.wikidata.org/wiki/Q1976792","https://www.nasdaq.com"]},"isPartOf":{"@type":"Dataset","@id":"https://databento.com/datasets/OPRA.PILLAR"}},{"@type":"Dataset","@id":"https://data.nasdaq.com/databases/NMTB/documentation","name":"Nasdaq MRX Options Market Data (US Equity Options)","alternateName":"Part of the OPRA dataset provided by Databento","description":"Access real-time and historical US equity options data included as part of Databento's OPRA data feed. Nasdaq MRX offers a customer priority, pro-rata allocation market and a price-time complex market. 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638pening to allow access to better execution quality and additional liquidity.","url":"https://data.nasdaq.com/databases/NGTB/documentation","sameAs":"https://www.nasdaq.com/solutions/nasdaq-top-quote-feeds%3A-ise-gemx-and-mrx","publisher":{"@type":"Organization","name":"Nasdaq GEMX","url":"https://www.nasdaq.com/solutions/nasdaq-gemx","sameAs":"https://www.nasdaq.com"},"isPartOf":{"@type":"Dataset","@id":"https://databento.com/datasets/OPRA.PILLAR"}},{"@type":"Dataset","@id":"https://data.nasdaq.com/databases/NITB/documentation","name":"Nasdaq International Securities Exchange (ISE) Market Data (US Equity Options)","alternateName":"Part of the OPRA dataset provided by Databento","description":"Access real-time and historical US equity options data included as part of Databento's OPRA data feed. Nasdaq International Securities Exchange (ISE) was the first all-electronic options exchange to launch in the United States. ISE holds a modified maker-taker model and a pro-rata allocation model focusing on executions for Simple, Complex, and Crossing Orders. It aims to meet the needs of the entire trading industry, offering features such as: routing strategies, implied orders, complex order book, and more.","url":"https://data.nasdaq.com/databases/NITB/documentation","sameAs":"https://www.nasdaq.com/solutions/nasdaq-top-quote-feeds%3A-ise-gemx-and-mrx","publisher":{"@type":"Organization","name":"Nasdaq International Securities Exchange (ISE)","url":"https://www.nasdaq.com/solutions/nasdaq-ise","sameAs":"https://www.nasdaq.com"},"isPartOf":{"@type":"Dataset","@id":"https://databento.com/datasets/OPRA.PILLAR"}},{"@type":"Dataset","@id":"https://www.nyse.com/market-data/real-time/options-top-feed#American","name":"NYSE American Options Market Data (US Equity Options)","alternateName":"Part of the OPRA dataset provided by Databento","description":"Access real-time and historical US equity options data included as part of Databento's OPRA data feed. NYSE American Options is an electronic trading platform that's part of a dual market structure providing access to both NYSE American and ARCA. NYSE American offers a blend of customer priority and size pro-rata allocation.","url":"https://www.nyse.com/market-data/real-time/options-top-feed","publisher":{"@type":"Organization","name":"NYSE American Options","url":"https://www.nyse.com/markets/american-options","sameAs":"https://www.nyse.com"},"isPartOf":{"@type":"Dataset","@id":"https://databento.com/datasets/OPRA.PILLAR"}},{"@type":"Dataset","@id":"https://www.nyse.com/market-data/real-time/options-top-feed#ARCA","name":"NYSE Arca Options Market Data (US Equity Options)","alternateName":"Part of the OPRA dataset provided by Databento","description":"Access real-time and historical US equity options data included as part of Databento's OPRA data feed. NYSE Arca Options utilizes a hybrid trading platform offering both electronic and floor-based trading. NYSE Arca operates a blend of price-time priority with LMM participation. It's also part of a dual market structure providing access to both NYSE American and Arca through an integrated platform.","url":"https://www.nyse.com/market-data/real-time/options-top-feed","publisher":{"@type":"Organization","name":"NYSE Arca Options","url":"https://www.nyse.com/markets/arca-options","sameAs":"https://www.nyse.com"},"isPartOf":{"@type":"Dataset","@id":"https://databento.com/datasets/OPRA.PILLAR"}},{"@type":"Dataset","@id":"https://info.memxtrading.com/us-options-trading-resources/","name":"MEMX Options Market Data (US Equity Options)","alternateName":"Part of the OPRA dataset provided by Databento","description":"Access real-time and historical US equity options data included as part of Databento's OPRA data feed. MEMX Options is an all-electronic trading platform that uses price-time priority with continuous trading in single-leg options on equities and ETPs.","url":"https://info.memxtrading.com/us-options-trading-resources/","publisher":{"@type":"Organization","name":"MEMX Options","url":"https://info.memxtrading.com/us-options-trading-resources/","sameAs":"https://memx.com/"},"isPartOf":{"@type":"Dataset","@id":"https://databento.com/datasets/OPRA.PILLAR"}}]`),mXe={"@context":"https://schema.org","@type":"Dataset","@id":"https://databento.com/datasets/OPRA.PILLAR",name:aXe,alternateName:sXe,url:iXe,description:oXe,conditionsOfAccess:lXe,temporalCoverage:cXe,spatialCoverage:uXe,includedInDataCatalog:dXe,creator:fXe,distribution:pXe,isBasedOn:hXe},gXe="Options Market Data & APIs | Databento",vXe="Real-time and historical options data API - Fetch option chain data and handle multiple expirations and rollovers",yXe="https://databento.com/options",bXe=`Official licensed distributor of options data from all US equity options exchanges, and options on futures data from CME, CFE, ICE, CBOT, NYMEX, COMEX, Eurex, EEX and more. 
639
640Our instrument definitions are timestamped on both historical and live data. This point-in-time treatment is especially useful if you intend to subscribe to and trade new strikes as they get listed; to backtest this, and to avoid lookahead effects of knowing the underlying's future price changes.`,xXe="Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",wXe="2017-05-21/..",CXe="Worldwide",_Xe={"@type":"DataCatalog","@id":"https://databento.com#data-catalog",name:"Databento",url:"https://databento.com",provider:{"@id":"https://databento.com/about#organization"}},SXe={"@id":"https://databento.com/about#organization"},EXe=[{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"csv",fileFormat:"csv",contentUrl:"https://databento.com"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"json",fileFormat:"json",contentUrl:"https://databento.com"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"parquet",fileFormat:"parquet",contentUrl:"https://databento.com"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"dbn",fileFormat:"dbn",contentUrl:"https://databento.com"}],IXe={"@context":"https://schema.org","@type":"Dataset","@id":"https://databento.com/options",name:gXe,alternateName:vXe,url:yXe,description:bXe,conditionsOfAccess:xXe,temporalCoverage:wXe,spatialCoverage:CXe,includedInDataCatalog:_Xe,creator:SXe,distribution:EXe},AXe="Security Master Data & APIs | Databento",TXe="Resolving securities attributes, identification, symbology and informational challenges efficie

640ntly",kXe="https://databento.com/security-master",RXe=`The security master provides point-in-time (PIT) static information on securities across international markets for 860,000+ listed and delisted securities. This provides a means for resolving securities attributes, identification, symbology and informational challenges efficiently. Some common use cases for the security master include research, backtesting, compliance and report generation, risk management, and keeping portfolios current.
641
642- **History.** From to 2005-01-01 to present.
643- **Coverage.** Global.
644- **Update frequency.** Once per week.
645- **Listing level.** All records are maintained at the listing level, which means each individual listing for a security has its own set of records.
646- **Delisting and relisting.** The system continues to track securities even after they have been delisted. This is crucial because securities are occasionally relisted, so maintaining a continuous record prevents gaps in the time series thus avoiding ambiguity.`,NXe="Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",DXe="2005-01-01/..",PXe="Worldwide",OXe={"@type":"DataCatalog","@id":"https://databento.com#data-catalog",name:"Databento",url:"https://databento.com",provider:{"@id":"https://databento.com/about#organization"}},MXe={"@id":"https://databento.com/about#organization"},LXe=[{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"csv",fileFormat:"csv",contentUrl:"https://databento.com"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"json",fileFormat:"json",contentUrl:"https://databento.com"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"dbn",fileFormat:"dbn",contentUrl:"https://databento.com"}],jXe={"@context":"https://schema.org","@type":"Dataset","@id":"https://databento.com/security-master",name:AXe,alternateName:TXe,url:kXe,description:RXe,conditionsOfAccess:NXe,temporalCoverage:DXe,spatialCoverage:PXe,includedInDataCatalog:OXe,creator:MXe,distribution:LXe},FXe="Real-time and Historical Tick Data & APIs | Databento",BXe="Tick-by-tick, market-by-order (MBO), full order book, level 2 & level 3 market data",UXe="https://databento.com/tick-data",$Xe=`Databento provides the industry’s fastest cloud-based solutions for intraday and real-time tick data. First to deliver full L3 (MBO) over internet.
647
648Access L2 market data with Databento's market by price (MBP-10) schema, which aggregates book depth by price and includes every order across the top ten price levels.
649
650Access L3 market data with Databento's market-by-order (MBO) schema, which provides full order book depth, including every order at every price level, tick-by-tick with accurate queue position.`,qXe="Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",HXe="2017-05-21/..",zXe="North America, Europe",VXe={"@type":"DataCatalog","@id":"https://databento.com#data-catalog",name:"Databento",url:"https://databento.com",provider:{"@id":"https://databento.com/about#organization"}},GXe={"@id":"https://databento.com/about#organization"},WXe=[{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"csv",fileFormat:"csv",contentUrl:"https://databento.com"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"json",fileFormat:"json",contentUrl:"https://databento.com"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"parquet",fileFormat:"parquet",contentUrl:"https://databento.com"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"dbn",fileFormat:"dbn",contentUrl:"https://databento.com"}],YXe={"@context":"https://schema.org","@type":"Dataset","@id":"https://databento.com/tick-data",name:FXe,alternateName:BXe,url:UXe,description:$Xe,conditionsOfAccess:qXe,temporalCoverage:HXe,spatialCoverage:zXe,includedInDataCatalog:VXe,creator:GXe,distribution:WXe},XXe="Get small and mid-cap market data with NYSE American Integrated",KXe="Small and mid-cap market data from NYSE American Integrated",ZXe="https://databento.com/datasets/XASE.PILLAR",JXe=`NYSE American Integrated is a proprietary data feed that provides full order book depth, including every quote and order at each price level, on the American market (formerly AMEX, the American Stock Exchange). It operates on NYSE's Pillar platform and disseminates all order book activity in an order-by-order view of events, including trade executions, order modifications, cancellations, and other book updates.
651
652NYSE American specializes in listing growing companies and is the leading exchange for small-cap stocks, as well as offering mid-cap insights. As of January 2025, it represented approximately 0.23% of the average daily volume (ADV) across all exch

652ange-listed securities.
653
654With L3 granularity, NYSE American Integrated captures information beyond the L1, top-of-book data available through SIP feeds, enabling accurate modeling of the book imbalances, trade directionality, quote lifetimes, and more. This data includes explicit trade aggressor side, odd lots, and auction imbalances. Auction imbalances offer valuable insights into NYSE American’s opening and closing auctions by providing details like imbalance quantity, paired quantity, imbalance reference price, and book clearing price.
655
656Historical data is available for usage-based rates or with any [Databento US Equities](https://databento.com/catalog/us-equities) subscription. Visit our [pricing page](https://databento.com/pricing) for more details or to upgrade your plan.
657
658Asset class: Equities
659
660Origin: Directly captured at Equinix NY4 (Secaucus, NJ) with an FPGA-based network card and hardware timestamping. Synchronized to UTC with PTP.
661
662Supported data encodings: DBN, CSV, JSON ([Learn more](https://databento.com/docs/api-reference-historical/basics/encodings))
663
664Supported market data schemas: MBO, MBP-1, MBP-10, TBBO, Trades, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Imbalance ([Learn more](https://databento.com/docs/schemas-and-data-formats))
665
666Resolution: Immediate publication, nanosecond-resolution timestamps`,QXe="Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",eKe="2023-03-28/..",tKe="United States",nKe={"@type":"Dataset","@id":"https://databento.com/equities",name:"Databento US Equities Market Data and APIs",url:"https://databento.com/equities",description:`Breadth of coverage:
667  14,160 products
668
669  Asset class(es):
670  Equities
671
672  Origin: Directly captured at Equinix NY4 (Secaucus, NJ) with an FPGA-based network card and hardware timestamping. Synchronized to UTC with PTP.
673
674  Supported data encodings:
675  DBN, CSV, JSON [Learn more](https://databento.com/docs/api-reference-historical/basics/encodings)
676
677  Supported market data schemas:
678  MBO, MBP-1, MBP-10, TBBO, Trades, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Imbalance [Learn more](https://databento.com/docs/schemas-and-data-formats)
679
680  Resolution:
681  Immediate publication, nanosecond-resolution timestamps
682  `,conditionsOfAccess:"Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",temporalCoverage:"2018-05-01/..",spatialCoverage:"United States",includedInDataCatalog:{"@type":"DataCatalog","@id":"https://databento.com#data-catalog",name:"Databento",url:"https://databento.com",provider:{"@id":"https://databento.com/about#organization"}}},rKe={"@id":"https://databento.com/about#organization"},aKe=[{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"dbn",fileFormat:"dbn",contentUrl:"https://databento.com/datasets/XASE.PILLAR"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"csv",fileFormat:"csv",contentUrl:"https://databento.com/datasets/XASE.PILLAR"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"json",fileFormat:"json",contentUrl:"https://databento.com/datasets/XASE.PILLAR"}],sKe={"@context":"https://schema.org","@type":"Dataset","@id":"https://databento.com/datasets/XASE.PILLAR",name:XXe,alternateName:KXe,url:ZXe,description:JXe,conditionsOfAccess:QXe,temporalCoverage:eKe,spatialCoverage:tKe,isPartOf:nKe,creator:rKe,distribution:aKe},iKe="Nasdaq Texas TotalView-ITCH Live and Historical Data",oKe="Nasdaq Texas TotalView-ITCH equities order book feed",lKe="https://databento.com/datasets/XBOS.ITCH",cKe=`Nasdaq Texas TotalView-ITCH is a proprietary data feed that provides full order book depth and last sale information. It displays every quote and order at each price level on the Nasdaq Texas market (formerly Nasdaq BX, originally the Boston Stock Exchange) and captures all order book activity, including trade executions, order modifications, cancellations, and other events that update the book's state. This L3 granularity offers data not found in SIP feeds—such as explicit trade aggressor side and odd lots—and enable accurate modeling of quote lifetimes and queue dynamics.
683
684This dataset covers all securities traded or routed through the Nasdaq Texas exchange platform, including those listed on the Nasdaq, NYSE, NYSE American, NYSE Arca, and Cboe exchanges under Reg NMS. As of January 2025, the Nasdaq Texas exchange represented 0.13% of the average daily volume (ADV).
685
686Nasdaq Texas attracts retail-focused brokers and traders with its inverted pricing model, offering rebates for liquidity removers and its Retail Price Improvement (RPI) program. It disseminates the Retail Price Improvement Indicator (RPII) to signal the availability of RPI orders, which are designed to improve upon the NBBO and promote better pricing opportunities for retail investors.
687
688Historical data is available for usage-based rates or with any [Databento US Equities](https://databento.com/catalog/us-equities) subscription. Visit our [pricing page](https://databento.com/pricing) for more details.
689
690  Breadth of coverage:
691  11,544 products
692
693  Asset class(es):
694  Equities
695
696  Origin: Directly captured at Equinix NY4 (Secaucus, NJ) with an FPGA-based network card and hardware timestamping. Synchronized to UTC with PTP.
697
698  Supported data encodings:
699  DBN, CSV, JSON [Learn more](https://databento.com/docs/api-reference-historical/basics/encodings)
700
701  Supported market data schemas:
702  MBO, MBP-1, MBP-10, TBBO, Trades, BBO-1s, BBO-1m, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Imbalance, Statistics, Status [Learn more](https://databento.com/docs/schemas-and-data-formats)
703
704  Resolution:
705  Immediate publication, nanosecond-resolution timestamps
706  `,uKe="Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",dKe="2018-05-01/..",fKe="United States",pKe={"@type":"Dataset","@id":"https://databento.com/equities",name:"Databento US Equities Market Data and APIs",url:"https://databento.com/equities",description:`Breadth of coverage:
707  14,160 products
708
709  Asset class(es):
710  Equities
711
712  Origin: Directly captured at Equinix NY4 (Secaucus, NJ) with an FPGA-based network card and hardware timestamping. Synchronized to UTC with PTP.
713
714  Supported data encodings:
715  DBN, CSV, JSON [Learn more](https://databento.com/docs/api-reference-historical/basics/encodings)
716
717  Supported market data schemas:
718  MBO, MBP-1, MBP-10, TBBO, Trades, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Imbalance [Learn more](https://databento.com/docs/schemas-and-data-formats)
719
720  Resolution:
721  Immediate publication, nanosecond-resolution timestamps
722  `,conditionsOfAccess:"Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",temporalCoverage:"2018-05-01/..",spatialCoverage:"United States",includedInDataCatalog:{"@type":"DataCatalog","@id":"https://databento.com#data-catalog",name:"Databento",url:"https://databento.com",provider:{"@id":"https://databento.com/about#organization"}}},hKe={"@id":"https://databento.com/about#organization"},mKe=[{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"dbn",fileFormat:"dbn",contentUrl:"https://databento.com/datasets/XBOS.ITCH"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"csv",fileFormat:"csv",contentUrl:"https://databento.com/datasets/XBOS.ITCH"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"json",fileFormat:"json",contentUrl:"https://databento.com/datasets/XBOS.ITCH"}],gKe=[{"@type":"Dataset",name:"Nasdaq BX TotalView-ITCH",description:"BX TotalView shows you every single quote and order at every price level in Nasdaq-, NYSE-, NYSE Alternext- and regional-listed securities for the new market center.",publisher:{"@type":"Organization",name:"National Association of Securities Dealers Automated Quotations (NASDAQ)",url:"https://www.nasdaq.com/solutions/nasdaq-bx-stock-market",sameAs:["https://en.wikipedia.org/wiki/Boston_Stock_Exchange","https://www.wikidata.org/wiki/Q2636119","https://www.marketswiki.com/wiki/NASDAQ_BX"]},url:"https://www.nasdaqtrader.com/Trader.aspx?id=BXTotalView",sameAs:["https://data.nasdaq.com/databases/NBTV"]}],vKe={"@context":"https://schema.org","@type":"Dataset","@id":"https://databento.com/datasets/XBOS.ITCH",name:iKe,alternateName:oKe,url:lKe,description:cKe,conditionsOfAccess:uKe,temporalCoverage:dKe,spatialCoverage:fKe,isPartOf:pKe,creator:hKe,distribution:mKe,isBasedOn:gKe}

722,yKe="Cboe Future Exchange (CFE) Market Data and APIs",bKe="Real-time and historical futures data from Cboe CFE",xKe="https://databento.com/datasets/XCBF.PITCH",wKe=`Cboe Futures Exchange (CFE) is home to innovative futures products based on volatility, credit, cryptocurrency, and equity indices. It includes Volatility Index (VIX) Futures. This dataset provides full order book depth across all products, including options on futures.
723
724Asset class: Futures, Options
725
726Origin: Directly captured at Equinix NY4 (Secaucus, NJ) with an FPGA-based network card and hardware timestamping. Synchronized to UTC with PTP.
727
728Supported data encodings: DBN, CSV, JSON ([Learn more](https://databento.com/docs/api-reference-historical/basics/encodings))
729
730Supported market data schemas: MBO, MBP-1, MBP-10, TBBO, Trades, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Statistics ([Learn more](https://databento.com/docs/schemas-and-data-formats))
731
732Resolution: Immediate publication, nanosecond-resolution timestamps`,CKe="Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",_Ke="Worldwide",SKe={"@type":"DataCatalog","@id":"https://databento.com#data-catalog",name:"Databento",url:"https://databento.com",provider:{"@id":"https://databento.com/about#organization"}},EKe={"@id":"https://databento.com/about#organization"},IKe=[{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"dbn",fileFormat:"dbn",contentUrl:"https://databento.com/datasets/XCBF.PITCH"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"csv",fileFormat:"csv",contentUrl:"https://databento.com/datasets/XCBF.PITCH"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"json",fileFormat:"json",contentUrl:"https://databento.com/datasets/XCBF.PITCH"}],AKe=[{"@type":"Dataset",name:"Cboe U.S. Futures Multicast PITCH",description:"Daily archive of Cboe Futures Exchange depth of book real-time feed with execution information.Includes CFE Top (Level 1) with BBO quotes, last sale information, and Strategy BBO information (spreads). Includes CFE Book Depth (Level 2) with full depth of the market.",publisher:{"@type":"Organization",name:"Cboe",url:"https://www.cboe.com/markets/us/futures/",sameAs:["https://en.wikipedia.org/wiki/Cboe_Global_Markets","https://www.wikidata.org/wiki/Q107190278"]},url:"https://datashop.cboe.com/cboe-us-futures-multicast-pitch",sameAs:"https://www.cboe.com/market_data_services/us/futures/"}],TKe={"@context":"https://schema.org","@type":"Dataset","@id":"https://databento.com/datasets/XCBF.PITCH",name:yKe,alternateName:bKe,url:xKe,description:wKe,conditionsOfAccess:CKe,spatialCoverage:_Ke,includedInDataCatalog:SKe,creator:EKe,distribution:IKe,isBasedOn:AKe},kKe="NYSE Texas Integrated Market Data and APIs | Databento",RKe="NYSE Texas Integrated full order book and trades feed",NKe="https://databento.com/datasets/XCHI.PILLAR",DKe=`Breadth of coverage:
733  14,160 products
734
735  Asset class(es):
736  Equities
737
738  Origin: Directly captured at Equinix NY4 (Secaucus, NJ) with an FPGA-based network card and hardware timestamping. Synchronized to UTC with PTP.
739
740  Supported data encodings:
741  DBN, CSV, JSON [Learn more](https://databento.com/docs/api-reference-historical/basics/encodings)
742
743  Supported market data schemas:
744  MBO, MBP-1, MBP-10, TBBO, Trades, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Imbalance [Learn more](https://databento.com/docs/schemas-and-data-formats)
745
746  Resolution:
747  Immediate publication, nanosecond-resolution timestamps
748  `,PKe="Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",OKe="United States",MKe={"@type":"Dataset","@id":"https://databento.com/equities",name:"Databento US Equities Market Data and APIs",url:"https://databento.com/equities",description:`Breadth of coverage:
749  14,160 products
750
751  Asset class(es):
752  Equities
753
754  Origin: Directly captured at Equinix NY4 (Secaucus, NJ) with an FPGA-based network card and hardware timestamping. Synchronized to UTC with PTP.
755
756  Supported data encodings:
757  DBN, CSV, JSON [Learn more](https://databento.com/docs/api-reference-historical/basics/encodings)
758
759  Supported market data schemas:
760  MBO, MBP-1, MBP-10, TBBO, Trades, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Imbalance [Learn more](https://databento.com/docs/schemas-and-data-formats)
761
762  Resolution:
763  Immediate publication, nanosecond-resolution timestamps
764  `,conditionsOfAccess:"Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",temporalCoverage:"2018-05-01/..",spatialCoverage:"United States",includedInDataCatalog:{"@type":"DataCatalog","@id":"https://databento.com#data-catalog",name:"Databento",url:"https://databento.com",provider:{"@id":"https://databento.com/about#organization"}}},LKe={"@id":"https://databento.com/about#organization"},jKe=[{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"dbn",fileFormat:"dbn",contentUrl:"https://databento.com/datasets/XCHI.PILLAR"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"csv",fileFormat:"csv",contentUrl:"https://databento.com/datasets/XCHI.PILLAR"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"json",fileFormat:"json",contentUrl:"https://databento.com/datasets/XCHI.PILLAR"}],FKe=[{"@type":"Dataset",name:"NYSE Texas Integrated",description:"The NYSE Texas Integrated Feed provides a comprehensive order-by-order view of events in the NYSE Texas equities market. This single high-performance product integrates orders and trades in sequence, providing a more deterministic and transparent view of the order book and related activity.",publisher:{"@type":"Organization",name:"New York Stock Exchange (NYSE)",url:"https://www.nyse.com/markets/nyse-texas",sameAs:["https://en.wikipedia.org/wiki/NYSE_Chicago","https://www.wikidata.org/wiki/Q2633007","https://www.marketswiki.com/wiki/Chicago_Stock_Exchange"]},url:"https://www.nyse.com/market-data/real-time/integrated-feed"}],BKe={"@context":"https://schema.org","@type":"Dataset","@id":"https://databento.com/datasets/XCHI.PILLAR",name:kKe,alternateName:RKe,url:NKe,description:DKe,conditionsOfAccess:PKe,spatialCoverage:OKe,isPartOf:MKe,creator:LKe,distribution:jKe,isBasedOn:FKe}

764,UKe="NYSE National Market Data and APIs | Databento",$Ke="NYSE National Trades and BBO",qKe="https://databento.com/datasets/XCIS.TRADESBBO",HKe=`Breadth of coverage:
765  14,160 products
766
767  Asset class(es):
768  Equities
769
770  Origin: Directly captured at Equinix NY4 (Secaucus, NJ) with an FPGA-based network card and hardware timestamping. Synchronized to UTC with PTP.
771
772  Supported data encodings:
773  DBN, CSV, JSON [Learn more](https://databento.com/docs/api-reference-historical/basics/encodings)
774
775  Supported market data schemas:
776  MBO, MBP-1, MBP-10, TBBO, Trades, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Imbalance [Learn more](https://databento.com/docs/schemas-and-data-formats)
777
778  Resolution:
779  Immediate publication, nanosecond-resolution timestamps
780  `,zKe="Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",VKe="United States",GKe={"@type":"Dataset","@id":"https://databento.com/equities",name:"Databento US Equities Market Data and APIs",url:"https://databento.com/equities",description:`Breadth of coverage:
781  14,160 products
782
783  Asset class(es):
784  Equities
785
786  Origin: Directly captured at Equinix NY4 (Secaucus, NJ) with an FPGA-based network card and hardware timestamping. Synchronized to UTC with PTP.
787
788  Supported data encodings:
789  DBN, CSV, JSON [Learn more](https://databento.com/docs/api-reference-historical/basics/encodings)
790
791  Supported market data schemas:
792  MBO, MBP-1, MBP-10, TBBO, Trades, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Imbalance [Learn more](https://databento.com/docs/schemas-and-data-formats)
793
794  Resolution:
795  Immediate publication, nanosecond-resolution timestamps
796  `,conditionsOfAccess:"Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",temporalCoverage:"2018-05-01/..",spatialCoverage:"United States",includedInDataCatalog:{"@type":"DataCatalog","@id":"https://databento.com#data-catalog",name:"Databento",url:"https://databento.com",provider:{"@id":"https://databento.com/about#organization"}}},WKe={"@id":"https://databento.com/about#organization"},YKe=[{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"dbn",fileFormat:"dbn",contentUrl:"https://databento.com/datasets/XCIS.TRADESBBO"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"csv",fileFormat:"csv",contentUrl:"https://databento.com/datasets/XCIS.TRADESBBO"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"json",fileFormat:"json",contentUrl:"https://databento.com/datasets/XCIS.TRADESBBO"}],XKe=[{"@type":"Dataset",name:"NYSE National BBO",description:"NYSE National BBO feed is a real-time data feed that provides NYSE National Quotes (best bid/ask quotations) for all NYSE National-traded securities. This is a top of book feed that publishes updates for every event in real-time. NYSE National Trades feed is a real-time data feed providing the exchange Last Sale for all NYSE National-traded securities.",publisher:{"@type":"Organization",name:"New York Stock Exchange (NYSE)",url:"https://www.nyse.com/markets/nyse-national",sameAs:["https://www.marketswiki.com/wiki/NYSE_National","https://www.wikidata.org/wiki/Q107190244"]},url:"https://www.nyse.com/market-data/real-time/bbo"},{"@type":"Dataset",name:"NYSE National Trades",description:"NYSE National Trades feed is a real-time data feed providing the exchange Last Sale for all NYSE National-traded securities.",publisher:{"@type":"Organization",name:"New York Stock Exchange (NYSE)",url:"https://www.nyse.com/markets/nyse-national",sameAs:["https://www.marketswiki.com/wiki/NYSE_National","https://www.wikidata.org/wiki/Q107190244"]},url:"https://www.nyse.com/market-data/real-time/trades"}],KKe={"@context":"https://schema.org","@type":"Dataset","@id":"https://databento.com/datasets/XCIS.TRADESBBO",name:UKe,alternateName:$Ke,url:qKe,description:HKe,conditionsOfAccess:zKe,spatialCoverage:VKe,isPartOf:GKe,creator:WKe,distribution:YKe,isBasedOn:XKe},ZKe="EEX Market Data and APIs",JKe="European Energy Exchange (EEX) - Real-time and Historical Data",QKe="https://databento.com/datasets/XEEE.EOBI",eZe=`Trades and order book data for power, natural gas, environmentals, agriculturals, and freight products traded on the European Energy Exchange. Directly captured at Equinix FR2 (Frankfurt, DE) with an FPGA-based network card and hardware timestamping.
797
798Asset class: Futures, Options
799
800Supported data encodings: DBN, CSV, JSON ([Learn more](https://databento.com/docs/api-reference-historical/basics/encodings))
801
802Supported market data schemas: MBO, MBP-1, MBP-10, TBBO, Trades, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Statistics ([Learn more](https://databento.com/docs/schemas-and-data-formats))
803
804Resolution: Immediate publication, nanosecond-resolution timestamps`,tZe="Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",nZe="Europe",rZe={"@type":"DataCatalog","@id":"https://databento.com#data-catalog",name:"Databento",url:"https://databento.com",provider:{"@id":"https://databento.com/about#organization"}},aZe={"@id":"https://databento.com/about#organization"},sZe=[{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"dbn",fileFormat:"dbn",contentUrl:"https://databento.com/datasets/XEEE.EOBI"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"csv",fileFormat:"csv",contentUrl:"https://databento.com/datasets/XEEE.EOBI"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"json",fileFormat:"json",contentUrl:"https://databento.com/datasets/XEEE.EOBI"}],iZe=[{"@type":"Dataset",name:"EEX Market Data",description:"Trade and order book data for power, natural gas, environmentals, agriculturals, and freight products traded on the European Energy Exchange.",publisher:{"@type":"Organization",name:"European Energy Exchange (EEX)",url:"https://www.eex.com",sameAs:["https://www.wikidata.org/wiki/Q876111","https://en.wikipedia.org/wiki/European_Energy_Exchange"],description:"European Energy Exchange (EEX) AG is a central European electric power and related commodities exchange located in Leipzig, Germany. It develops, operates and connects secure, liquid and transparent markets for energy and related products, including power derivative contracts, emission allowances, agricultural and freight products."},url:"https://www.eex.com/en/market-data/eex-group-datasource",includedInDataCatalog:{"@type":"DataCatalog","@id":"https://databento.com#data-catalog",name:"Databento",url:"https://databento.com",provider:{"@id":"https://databento.com/about#organization"}}}],oZe={"@context":"https://schema.org","@type":"Dataset","@id":"https://databento.com/datasets/XEEE.EOBI",name:ZKe,alternateName:JKe,url:QKe,description:eZe,conditionsOfAccess:tZe,spatialCoverage:nZe,includedInDataCatalog:rZe,creator:aZe,distribution:sZe,isBasedOn:iZe},lZe="Eurex Market Data and APIs",cZe="Eurex Enhanced Order Book Interface (EOBI) Feed - Real-time and Historical Data",uZe="https://databento.com/datasets/XEUR.EOBI",dZe=`Trades and order book data for all Eurex products. The EOBI feed provides order-by-order updates of the full order book (MBO). Directly captured at Equinix FR2 (Frankfurt, DE) with an FPGA-based network card and hardware timestamping.
805
806Asset class: Futures, Options
807
808Supported data encodings: DBN, CSV, JSON ([Learn more](https://databento.com/docs/api-reference-historical/basics/encodings))
809
810Supported market data schemas: MBO, MBP-1, MBP-10, TBBO, Trades, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Statistics ([Learn more](https://databento.com/docs/schemas-and-data-formats))
811
812Resolution: Immediate publication, nanosecond-resolution timestamps`,fZe="Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",pZe="2025-03-02/..",hZe="Europe",mZe={"@type":"DataCatalog","@id":"https://databento.com#data-catalog",name:"Databento",url:"https://databento.com",provider:{"@id":"https://databento.com/about#organization"}},gZe={"@id":"https://databento.com/about#organization"},vZe=[{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"dbn",fileFormat:"dbn",contentUrl:"https://databento.com/datasets/XEUR.EOBI"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"csv",fileFormat:"csv",contentUrl:"https://databento.com/datasets/XEUR.EOBI"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"json",fileFormat:"json",contentUrl:"https://databento.com/datasets/XEUR.EOBI"}],yZe=[{"@type":"Dataset",name:"Eurex EOBI Enhanced Orderbook Interface",description:"Provides the entire trade data and order book information showing every visible order and quote for all Eurex products. It delivers information on each individual order and quote side, along with executions and state information in an un-netted manner. The data is obtained from Frankfurt Floor Enhanced Order Book Interface (EOBI).",publisher:{"@type":"Organization",name:"Eurex Exchange",url:"https://www.eurex.com",sameAs:["https://www.wikidata.org/wiki/Q702192","https://en.wikipedia.org/wiki/Eurex"],description:"Eurex Exchange is a German derivatives exchange which primarily offers trading in European based derivatives. The products traded on this exchange vary from German and 

812Swiss debt instruments to European stocks and various stock indexes."},url:"https://a7-dataplatform.deutsche-boerse.com/product/details/MARKET_EUREX_EOBI",includedInDataCatalog:{"@type":"DataCatalog","@id":"https://databento.com#data-catalog",name:"Databento",url:"https://databento.com",provider:{"@id":"https://databento.com/about#organization"}}}],bZe={"@context":"https://schema.org","@type":"Dataset","@id":"https://databento.com/datasets/XEUR.EOBI",name:lZe,alternateName:cZe,url:uZe,description:dZe,conditionsOfAccess:fZe,temporalCoverage:pZe,spatialCoverage:hZe,includedInDataCatalog:mZe,creator:gZe,distribution:vZe,isBasedOn:yZe},xZe="Nasdaq Basic + Nasdaq Last Sale (NLS) Plus Data Feed",wZe="Historical and real-time quotes from Nasdaq Basic with NLS Plus",CZe="https://databento.com/datasets/XNAS.BASIC",_Ze=`Nasdaq Basic with NLS Plus is our most cost-effective solution for real-time US equities, offering the broadest coverage for a fraction of the cost of consolidated feed alternatives like SIP data.
813
814This proprietary, consolidated data feed disseminates top-of-book (L1) data from every Nasdaq-operated venue and covers all US stocks and ETFs, including those listed on the NYSE, NYSE Arca, NYSE American, and Cboe exchanges. As the premium tier of Nasdaq's Basic product, it combines Nasdaq Last Sale (NLS) Plus and Nasdaq BBO (QBBO) to provide:
815- Best bid and offer (BBO) quotes for the Nasdaq stock market (XNAS), which are within 1% of the NBBO 99.22% of the time.
816- Tick-by-tick price and size for orders executed on Nasdaq (XNAS), Nasdaq BX (XBOS), and Nasdaq PSX (XPSX).
817- All off-exchange trades reported to FINRA/Nasdaq's Carteret and Chicago Trade Reporting Facilities (TRFs), which aggregate data from most of the 30 ATSs and account for approximately 45% to 49% of the average daily volume (ADV) in all exchange-listed securities.
818
819With the addition of TRF data, Nasdaq Basic with NLS Plus captures the majority of the trading activity and liquidity within US equity markets. As of January 2025, this dataset represented 62.9% ADV, including both on-exchange and off-exchange trades.
820
821This dataset is an ideal choice for market participants who need an accurate BBO but don't directly execute trades or display quotes for FINRA broker-dealer obligations. It also features substantially lower exchange license fees for real-time data compared to Nasdaq TotalView-ITCH, with pricing designed for distribution use cases and per-user rates that are reduced by more than 65%.
822
823Real-time Nasdaq Basic with NLS Plus data is included with a Plus or Unlimited subscription through our Databento US Equities service. Historical data is available for usage-based rates or with any subscription. Visit our [pricing page](https://databento.com/pricing) for more details.
824
825  Breadth of coverage:
826  11,595 products
827
828  Asset class(es):
829  Equities
830
831  Origin: Directly captured at Equinix NY4 (Secaucus, NJ) with an FPGA-based network card and hardware timestamping. Synchronized to UTC with PTP.
832
833  Supported data encodings:
834  DBN, CSV, JSON [Learn more](https://databento.com/docs/api-reference-historical/basics/encodings)
835
836  Supported market data schemas:
837 MBP-1, TBBO, Trades, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Statistics [Learn more](https://databento.com/docs/knowledge-base/new-users/market-data-schemas)
838
839  Resolution:
840  Immediate publication, nanosecond-resolution timestamps
841  `,SZe="Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",EZe="2024-07-01/..",IZe="United States",AZe={"@type":"Dataset","@id":"https://databento.com/equities",name:"Databento US Equities Market Data and APIs",url:"https://databento.com/equities",description:`Breadth of coverage:
842  14,160 products
843
844  Asset class(es):
845  Equities
846
847  Origin: Directly captured at Equinix NY4 (Secaucus, NJ) with an FPGA-based network card and hardware timestamping. Synchronized to UTC with PTP.
848
849  Supported data encodings:
850  DBN, CSV, JSON [Learn more](https://databento.com/docs/api-reference-historical/basics/encodings)
851
852  Supported market data schemas:
853  MBO, MBP-1, MBP-10, TBBO, Trades, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Imbalance [Learn more](https://databento.com/docs/schemas-and-data-formats)
854
855  Resolution:
856  Immediate publication, nanosecond-resolution timestamps
857  `,conditionsOfAccess:"Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",temporalCoverage:"2018-05-01/..",spatialCoverage:"United States",includedInDataCatalog:{"@type":"DataCatalog","@id":"https://databento.com#data-catalog",name:"Databento",url:"https://databento.com",provider:{"@id":"https://databento.com/about#organization"}}},TZe={"@id":"https://databento.com/about#organization"},kZe=[{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"dbn",fileFormat:"dbn",contentUrl:"https://databento.com/datasets/XNAS.BASIC"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"csv",fileFormat:"csv",contentUrl:"https://databento.com/datasets/XNAS.BASIC"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"json",fileFormat:"json",contentUrl:"https://databento.com/datasets/XNAS.BASIC"}],RZe=[{"@type":"Dataset",name:"Nasdaq Basic",description:"Nasdaq Basic provides Best Bid and Offer and Last Sale information for all U.S. exchange-listed securities based on liquidity within the Nasdaq market center, as well as trades reported to the FINRA Trade Reporting Facility (TRF) operated in partnership with FINRA/Nasdaq TRF.",publisher:{"@type":"Organization",name:"National Association of Securities Dealers Automated Quotations (NASDAQ)",url:"https://www.nasdaq.com",sameAs:["https://wikipedia.org/wiki/Nasdaq","https://www.wikidata.org/wiki/Q82059"]},url:"https://www.nasdaq.com/solutions/nasdaq-basic",sameAs:["https://www.nasdaqtrader.com/Trader.aspx?id=nasdaqbasic"],includedInDataCatalog:{"@type":"DataCatalog","@id":"https://databento.com#data-catalog",name:"Databento",url:"https://databento.com",provider:{"@id":"https://databento.com/about#organization"}}}],NZe={"@context":"https://schema.org","@type":"Dataset","@id":"https://databento.com/datasets/XNAS.BASIC",name:xZe,alternateName:wZe,url:CZe,description:_Ze,conditionsOfAccess:SZe,temporalCoverage:EZe,spatialCoverage:IZe,isPartOf:AZe,creator:TZe,distribution:kZe,isBasedOn:RZe},DZe="Nasdaq Stock Data (Nasdaq TotalView-ITCH feed)",PZe="Nasdaq TotalView real-time and historical intraday share price data",OZe="https://databento.com/datasets/XNAS.ITCH",MZe=`Get Nasdaq real-time and historical data with support for fast market replay at over 19 million book updates per second. Test our data for free with only 4 lines of code.
858
859Nasdaq TotalView-ITCH is a proprietary data feed that disseminates full order book depth and last sale data from the Nasdaq stock market (XNAS). It delivers every quote and order at each price level, along with any event that updates the order book after an order is placed, such as trade executions, modifications, or cancellations. Nasdaq is the most active US equity exchange by volume and represented 13.03% of the average daily volume (ADV) as of January 2025.
860
861With its L3 granularity, Nasdaq TotalView-ITCH captures information beyond the L1, top-of-book data available through SIP feeds and enables more accurate modeling of book imbalances, trade directionality, quote lifetimes, and more. This includes explicit trade aggressor side, odd lots, auction imbalance data, and the Net Order Imbalance Indicator (NOII) for the Nasdaq Opening and Closing Crosses and Nasdaq IPO/Halt Cross—the best predictor of Nasdaq opening and closing prices available. Other key advantages of Nasdaq TotalView-ITCH over SIP data include faster real-time dissemination and precise exchange-side timestamping directly from Nasdaq.
862
863Real-time Nasdaq TotalView-ITCH data is included with a Plus or Unlimited subscription through our Databento US Equities service. Historical data is available for usage-based rates or with any subscription. Visit our [pricing page](https://databento.com/pricing) for more details or to upgrade your plan.
864
865  Breadth of coverage:
866  20,329 products
867
868  Asset class(es):
869  Equities
870
871  Origin: Directly captured at Equinix NY4 (Secaucus, NJ) with an FPGA-based network card and hardware timestamping. Synchronized to UTC with PTP.
872
873  Supported data encodings:
874  DBN, CSV, JSON [Learn more](https://databento.com/docs/api-reference-historical/basics/encodings)
875
876  Supported market data schemas:
877  MBO, MBP-1, MBP-10, BBO-1s, BBO-1m, TBBO, Trades, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Statistics, Status, Imbalance [Learn more](https://databento.com/docs/schemas-and-data-formats)
878
879  Resolution:
880  Immediate publication, nanosecond-resolution timestamps
881  `,LZe="Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",jZe="2018-05-01/..",FZe="United States",BZe={"@type":"Dataset","@id":"https://databento.com/equities",name:"Databento US Equities Market Data and APIs",url:"https://databento.com/equities",description:`Breadth of coverage:
882  14,160 products
883
884  Asset class(es):
885  Equities
886
887  Origin: Directly captured at Equinix NY4 (Secaucus, NJ) with an FPGA-based network card and hardware timestamping. Synchronized to UTC with PTP.
888
889  Supported data encodings:
890  DBN, CSV, JSON [Learn more](https://databento.com/docs/api-reference-historical/basics/encodings)
891
892  Supported market data schemas:
893  MBO, MBP-1, MBP-10, TBBO, Trades, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Imbalance [Learn more](https://databento.com/docs/schemas-and-data-formats)
894
895  Resolution:
896  Immediate publication, nanosecond-resolution timestamps
897  `,conditionsOfAccess:"Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",temporalCoverage:"2018-05-01/..",spatialCoverage:"United States",includedInDataCatalog:{"@type":"DataCatalog","@id":"https://databento.com#data-catalog",name:"Databento",url:"https://databento.com",provider:{"@id":"https://databento.com/about#organization"}}},UZe={"@id":"https://databento.com/about#organization"},$Ze=[{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"dbn",fileFormat:"dbn",contentUrl:"https://databento.com/datasets/XNAS.ITCH"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"csv",fileFormat:"csv",contentUrl:"https://databento.com/datasets/XNAS.ITCH"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"json",fileFormat:"json",contentUrl:"https://databento.com/datasets/XNAS.ITCH"}],qZe=[{"@type":"Dataset",name:"Nasdaq TotalView-ITCH",description:`Nasdaq TotalView-ITCH is the proprietary data feed that provides full order book depth for Nasdaq market participants.
898This proprietary feed provides additional information about activity on the Nasdaq market that is not present on data sourced from the SIPs. Nasdaq TotalView-ITCH provides information about every order on the book, allowing you to model quote lifetimes, queue dynamics and depth at every price level - all of which are not possible with the SIPs. Moreover, Nasdaq TotalView-ITCH data generally disseminates faster in real-time, and provides more accurate and precise exchange-side timestamping.
899TotalView-ITCH also disseminates the Net Order Imbalance Indicator (NOII) for the Nasdaq Opening and Closing Crosses and Nasdaq IPO/Halt Cross.
900Databento captures and normalizes the Nasdaq TotalView-ITCH feed losslessly, and combines it with other US equities proprietary feeds to consolidate a faster, more granular, synthetic NBBO than the SIPs. This dataset and feed is not adjusted for corporate actions and delistings, allowing the user to perform simulation and backtests without look-ahead bias. In addition, we also aggregate top of book (TBBO) and bar aggregate (OHLCV) data from the original data.`,publisher:{"@type":"Organization",name:"National Association of Securities Dealers Automated Quotations (NASDAQ)",url:"https://www.nasdaq.com",sameAs:["https://wikipedia.org/wiki/Nasdaq","https://www.wikidata.org/wiki/Q82059"]},url:"https://www.nasdaq.com/solutions/nasdaq-totalview",sameAs:["https://www.wikidata.org/wiki/Q28009389","http://www.nasdaqtrader.com/Trader.aspx?id=Totalview2"],includedInDataCatalog:{"@type":"DataCatalog","@id":"https://databento.com#data-catalog",name:"Databento",url:"https://databento.com",provider:{"@id":"https://databento.com/about#organization"}}}],HZe={"@context":"https://schema.org","@type":"Dataset","@id":"https://databento.com/datasets/XNAS.ITCH",name:DZe,alternateName:PZe,url:OZe,description:MZe,conditionsOfAccess:LZe,temporalCoverage:jZe,spatialCoverage:FZe,isPartOf:BZe,creator:UZe,distribution:$Ze,isBasedOn:qZe},zZe="Get OHLCV, MBO, equities market events, and more from NYSE Integrated",VZe="NYSE trade and quote data (TAQ data) from NYSE Integrated",GZe="https://databento.com/datasets/XNYS.PILLAR",WZe=`NYSE Integrated is a proprietary data feed that disseminates full order book updates from the New York Stock Exchange (XNYS). It delivers every quote and order at each price level, along with any event that updates the order book after an order is placed, such as trade executions, modifications, or cancellations.
901
902NYSE is the leading venue for listing blue-chip companies and large-cap stocks. Powered by NYSE's Pillar platform, its hybrid market model of floor-based auction and electronic trading allows it to capture a significant portion of trading activity during the US equity market open and close. As of January 2025, the NYSE represented approximately 6.31% of the average daily volume (ADV) across all exch

902ange-listed US securities, including those listed on Nasdaq, other NYSE venues, and Cboe exchanges.
903
904NYSE is also the only exchange to offer Designated Market Maker (DMM) privileges, allowing the floor to send D-Quote Orders, short for Discretionary Orders, throughout the day. Most D-Quote Orders execute in the closing auction, where they're known as Closing D Orders and allow traders to access the NYSE closing auction after 3:50 PM. This creates significant price discovery during the NYSE Closing Auction, where interest represented via the floor contributes more than 40% of total volume.
905
906NYSE is also unique for being the only exchange with a Parity/Priority Allocation model for matching. This resembles a mixed FIFO and pro-rata matching algorithm, where the participant who sets the best price is matched first, and then the remaining shares are allocated to other orders entered by floor brokers at that price (parity allocation). Floor brokers may utilize e-Quotes to to receive such parity allocation of incoming executions.
907
908With L3 granularity, NYSE Integrated captures information beyond the L1, top-of-book data available through SIP feeds, enabling accurate modeling of the book imbalances, queue dynamics, and the auction process. This data includes explicit trade aggressor side, odd lots, and imbalances. Auction imbalances offer valuable insights into NYSE’s opening and closing auctions by providing details like imbalance quantity, paired quantity, imbalance reference price, and book clearing price.
909
910Historical data is available for usage-based rates or with any [Databento US Equities](https://databento.com/catalog/us-equities) subscription. Visit our [pricing page](https://databento.com/pricing) for more details or to upgrade your plan.
911
912Asset class: Equities
913
914Origin: Directly captured at Equinix NY4 (Secaucus, NJ) with an FPGA-based network card and hardware timestamping. Synchronized to UTC with PTP.
915
916Supported data encodings: DBN, CSV, JSON ([Learn more](https://databento.com/docs/api-reference-historical/basics/encodings))
917
918Supported market data schemas: MBO, MBP-1, MBP-10, TBBO, Trades, BBO-1s, BBO-1m, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Imbalance, Statistics, Status ([Learn more](https://databento.com/docs/schemas-and-data-formats))
919
920Resolution: Immediate publication, nanosecond-resolution timestamps`,YZe="Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",XZe="2023-03-28/..",KZe="United States",ZZe={"@type":"Dataset","@id":"https://databento.com/equities",name:"Databento US Equities Market Data and APIs",url:"https://databento.com/equities",description:`Breadth of coverage:
921  14,160 products
922
923  Asset class(es):
924  Equities
925
926  Origin: Directly captured at Equinix NY4 (Secaucus, NJ) with an FPGA-based network card and hardware timestamping. Synchronized to UTC with PTP.
927
928  Supported data encodings:
929  DBN, CSV, JSON [Learn more](https://databento.com/docs/api-reference-historical/basics/encodings)
930
931  Supported market data schemas:
932  MBO, MBP-1, MBP-10, TBBO, Trades, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Imbalance [Learn more](https://databento.com/docs/schemas-and-data-formats)
933
934  Resolution:
935  Immediate publication, nanosecond-resolution timestamps
936  `,conditionsOfAccess:"Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",temporalCoverage:"2018-05-01/..",spatialCoverage:"United States",includedInDataCatalog:{"@type":"DataCatalog","@id":"https://databento.com#data-catalog",name:"Databento",url:"https://databento.com",provider:{"@id":"https://databento.com/about#organization"}}},JZe={"@id":"https://databento.com/about#organization"}

936,QZe=[{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"dbn",fileFormat:"dbn",contentUrl:"https://databento.com/datasets/XNYS.PILLAR"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"csv",fileFormat:"csv",contentUrl:"https://databento.com/datasets/XNYS.PILLAR"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"json",fileFormat:"json",contentUrl:"https://databento.com/datasets/XNYS.PILLAR"}],eJe=[{"@type":"Dataset","@id":"https://www.nyse.com/market-data/real-time/integrated-feed",name:"NYSE Real Time Data (MBO, L1, L2, OHLC)",alternateName:"NYSE market data feed including tick-by-tick trades, level 2 data, NYSE trade and quote data (TAQ data)",description:"NYSE Integrated is a full order book prop feed that enhances the granularity of New York Stock Exchange trading data beyond the Securities Information Processors (SIPs). It provides insights into all price levels, aggressor sides, odd lots, and imbalances, offering the most detailed order-by-order view of NYSE equities market events. This feed combines both orders and trades, delivering greater determinism compared to the OpenBook feed, and includes auction imbalance records.",publisher:{"@type":"Organization",name:"NYSE (The New York Stock Exchange)",url:"https://www.nyse.com/markets/nyse",sameAs:["https://en.wikipedia.org/wiki/New_York_Stock_Exchange","https://www.wikidata.org/wiki/Q13677"]},url:"https://www.nyse.com/market-data/real-time/integrated-feed"}],tJe={"@context":"https://schema.org","@type":"Dataset","@id":"https://databento.com/datasets/XNYS.PILLAR",name:zZe,alternateName:VZe,url:GZe,description:WZe,conditionsOfAccess:YZe,temporalCoverage:XZe,spatialCoverage:KZe,isPartOf:ZZe,creator:JZe,distribution:QZe,isBasedOn:eJe},nJe="NYSE Trades Market Data and APIs | Databento",rJe="NYSE Trades last sale and FINRA TRF off-exchange data",aJe="https://databento.com/datasets/XNYS.TRADES",sJe=`Breadth of coverage:
937  14,160 products
938
939  Asset class(es):
940  Equities
941
942  Origin: Directly captured at Equinix NY4 (Secaucus, NJ) with an FPGA-based network card and hardware timestamping. Synchronized to UTC with PTP.
943
944  Supported data encodings:
945  DBN, CSV, JSON [Learn more](https://databento.com/docs/api-reference-historical/basics/encodings)
946
947  Supported market data schemas:
948  MBO, MBP-1, MBP-10, TBBO, Trades, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Imbalance [Learn more](https://databento.com/docs/schemas-and-data-formats)
949
950  Resolution:
951  Immediate publication, nanosecond-resolution timestamps
952  `,iJe="Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",oJe="United States",lJe={"@type":"Dataset","@id":"https://databento.com/equities",name:"Databento US Equities Market Data and APIs",url:"https://databento.com/equities",description:`Breadth of coverage:
953  14,160 products
954
955  Asset class(es):
956  Equities
957
958  Origin: Directly captured at Equinix NY4 (Secaucus, NJ) with an FPGA-based network card and hardware timestamping. Synchronized to UTC with PTP.
959
960  Supported data encodings:
961  DBN, CSV, JSON [Learn more](https://databento.com/docs/api-reference-historical/basics/encodings)
962
963  Supported market data schemas:
964  MBO, MBP-1, MBP-10, TBBO, Trades, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Imbalance [Learn more](https://databento.com/docs/schemas-and-data-formats)
965
966  Resolution:
967  Immediate publication, nanosecond-resolution timestamps
968  `,conditionsOfAccess:"Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",temporalCoverage:"2018-05-01/..",spatialCoverage:"United States",includedInDataCatalog:{"@type":"DataCatalog","@id":"https://databento.com#data-catalog",name:"Databento",url:"https://databento.com",provider:{"@id":"https://databento.com/about#organization"}}},cJe={"@id":"https://databento.com/about#organization"},uJe=[{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"dbn",fileFormat:"dbn",contentUrl:"https://databento.com/datasets/XNYS.TRADES"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"csv",fileFormat:"csv",contentUrl:"https://databento.com/datasets/XNYS.TRADES"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"json",fileFormat:"json",contentUrl:"https://databento.com/datasets/XNYS.TRADES"}],dJe=[{"@type":"Dataset",name:"NYSE Trades",description:"NYSE Trades feed is a real-time data feed providing the NYSE Last Sale for all NYSE-traded securities.",publisher:{"@type":"Organization",name:"New York Stock Exchange (NYSE)",url:"https://www.nyse.com/markets/nyse",sameAs:["https://en.wikipedia.org/wiki/New_York_Stock_Exchange","https://www.wikidata.org/wiki/Q13677","https://www.marketswiki.com/wiki/New_York_Stock_Exchange"]},url:"https://www.nyse.com/market-data/real-time/trades"}],fJe={"@context":"https://schema.org","@type":"Dataset","@id":"https://databento.com/datasets/XNYS.TRADES",name:nJe,alternateName:rJe,url:aJe,description:sJe,conditionsOfAccess:iJe,spatialCoverage:oJe,isPartOf:lJe,creator:cJe,distribution:uJe,isBasedOn:dJe},pJe="Nasdaq PSX TotalView-ITCH Market Data and APIs | Databento",hJe="Nasdaq PSX TotalView-ITCH equities order book feed",mJe="https://databento.com/datasets/XPSX.ITCH",gJe=`Nasdaq PSX TotalView-ITCH is a proprietary data feed that captures full order book depth and last sale information, including every quote and order at each price level, on the PSX market (formerly the Philadelphia Stock Exchange). It disseminates all order book activity, including trade executions, order modifications, cancellations, and other events that update the book's state. This L3 granularity offers data not found in SIP feeds—such as explicit trade aggressor side and odd lots—and enable accurate modeling of quote lifetimes and queue dynamics.
969
970This dataset covers all securities traded or routed through the PSX execution system, including those listed on the Nasdaq, NYSE, NYSE American, NYSE Arca, and Cboe exchanges under Reg NMS. As of January 2025, the Nasdaq PSX exchange represented 0.13% of the average daily volume (ADV).
971
972Nasdaq PSX incentivizes liquidity providers through its Price Setter Pro Rata model, which prioritizes larger displayed sizes, and its Qualified Market Maker Program, which rewards market makers for actively quoting at the NBBO. These mechanisms work together to drive price competition and support both passive trading and market-making strategies.
973
974Historical data is available for usage-based rates or with any [Databento US Equities](https://databento.com/catalog/us-equities) subscription. Visit our [pricing page](https://databento.com/pricing) for more details or to upgrade your plan.
975
976Breadth of coverage:
977  11,592 products
978
979  Asset class(es):
980  Equities
981
982  Origin: Directly captured at Equinix NY4 (Secaucus, NJ) with an FPGA-based network card and hardware timestamping. Synchronized to UTC with PTP.
983
984  Supported data encodings:
985  DBN, CSV, JSON [Learn more](https://databento.com/docs/api-reference-historical/basics/encodings)
986
987  Supported market data schemas: MBO, MBP-1, MBP-10, TBBO, Trades, BBO-1s, BBO-1m, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Imbalance, Statistics, Status [Learn more](https://databento.com/docs/schemas-and-data-formats)
988
989  Resolution:
990  Immediate publication, nanosecond-resolution timestamps
991  `,vJe="Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",yJe="2018-05-01/..",bJe="United States",xJe={"@type":"Dataset","@id":"https://databento.com/equities",name:"Databento US Equities Market Data and APIs",url:"https://databento.com/equities",description:`Breadth of coverage:
992  14,160 products
993
994  Asset class(es):
995  Equities
996
997  Origin: Directly captured at Equinix NY4 (Secaucus, NJ) with an FPGA-based network card and hardware timestamping. Synchronized to UTC with PTP.
998
999  Supported data encodings:
1000  DBN, CSV, JSON [Learn more](https://databento.com/docs/api-reference-historical/basics/encodings)
1001
1002  Supported market data schemas:
1003  MBO, MBP-1, MBP-10, TBBO, Trades, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Imbalance [Learn more](https://databento.com/docs/schemas-and-data-formats)
1004
1005  Resolution:
1006  Immediate publication, nanosecond-resolution timestamps
1007  `,conditionsOfAccess:"Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",temporalCoverage:"2018-05-01/..",spatialCoverage:"United States",includedInDataCatalog:{"@type":"DataCatalog","@id":"https://databento.com#data-catalog",name:"Databento",url:"https://databento.com",provider:{"@id":"https://databento.com/about#organization"}}},wJe={"@id":"https://databento.com/about#organization"},CJe=[{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"dbn",fileFormat:"dbn",contentUrl:"https://databento.com/datasets/XPSX.ITCH"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"csv",fileFormat:"csv",contentUrl:"https://databento.com/datasets/XPSX.ITCH"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"json",fileFormat:"json",contentUrl:"https://databento.com/datasets/XPSX.ITCH"}],_Je=[{"@type":"Dataset",name:"Nasdaq PSX TotalView-ITCH",description:"PSX TotalView shows you every single quote and order at 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A subset of MBP-1, with BBO or last sale forward-filled when only one of the two updates within an interval.",url:"https://databento.com/docs/schemas-and-data-formats/bbo"},cbbo:{name:"Consolidated BBO on interval",alternateName:["Consolidated top of book sampled in time space"],description:"The last consolidated best bid, best offer, and sale across all venues in the dataset, sampled at fixed 1-second or 1-minute intervals.",url:"https://databento.com/docs/schemas-and-data-formats/bbo"},tbbo:{name:"BBO on trade (TBBO)",alternateName:["Top of book sampled in trade space","Trades and quotes"],description:"Every trade event alongside the best bid and offer immediately before the effect of each trade. A subset of MBP-1.",url:"https://databento.com/docs/schemas-and-data-formats/tbbo"},tcbbo:{name:"Consolidated BBO on trade (TCBBO)",alternateName:["Consolidated top of book sampled in trade space"],description:"Every trade event alongside the consolidated best bid and offer across all venues in the dataset, immediately before the effect of each trade.",url:"https://databento.com/docs/schemas-and-data-formats/tbbo#consolidated-bbo-on-trade-tcbbo"},trades:{name:"Trades",alternateName:["Time and sales","Last sale","Tick-by-tick trades"],description:"Every trade event tick-by-tick, including trade price, size, and aggressor side. A subset of MBO. Commonly called time and sales, last sale, or tick data.",url:"https://databento.com/docs/schemas-and-data-formats/trades"},ohlcv:{name:"Aggregate bars (OHLCV)",alternateName:["OHLCV bars","Aggregates","Open, high, low, close, volume"],description:"Open, high, low, and close prices with total traded volume, aggregated from trades at 1-second, 1-minute, 1-hour, or 1-day intervals.",url:"https://databento.com/docs/schemas-and-data-formats/ohlcv"},definition:{name:"Instrument definitions",alternateName:["Security definitions","Reference data","Symbol list"],description:"Point-in-time reference data for each instrument, including symbol, instrument name, expiration date, listing date, tick size, and strike price.",url:"https://databento.com/docs/schemas-and-data-formats/instrument-definitions"},statistics:{name:"Statistics",alternateName:["Session or daily statistics","End-of-day summary","Open interest","Settlement prices"],description:"Official summary statistics published by the venue for each instrument, including daily volume, open interest, preliminary and final settlement prices, and official open, high, and low prices.",url:"https://databento.com/docs/schemas-and-data-formats/statistics"},status:{name:"Status",alternateName:["Market status","Trading state"],description:"Trading session updates including halts, pauses, short-selling restrictions, auction start, and other matching engine statuses.",url:"https://databento.com/docs/schemas-and-data-formats/status"}},AJe={"Equinix NY4":["Direct exchange feed capture","FPGA-based network capture at Equinix NY4 (Secaucus, NJ)","Hardware timestamping","PTP clock synchronization to UTC"],"Aurora DC3":["Direct exchange feed capture","FPGA-based network capture at Aurora DC3","Hardware timestamping","PTP clock synchronization to UTC"],"Equinix FR2":["Direct exchange feed capture","FPGA-based network capture at Equinix FR2 (Frankfurt, Germany)","Hardware timestamping","PTP clock synchronization to UTC"]},eL={measurements:EJe,schemaCopy:IJe,techniques:AJe},Tre=eL.measurements,TJe=eL.schemaCopy,kJe=eL.techniques,RJe=t=>Object.entries(t).flatMap(([e,n])=>{const r=TJe[e];return r?[{"@type":"PropertyValue",name:r.name,alternateName:[...n,...r.alternateName],description:r.description,url:r.url}]:[]}),kre=t=>{const e=Tre[t];if(!e)return;const n={};return e.schemas&&(n.variableMeasured=RJe(e.schemas)),e.technique&&(n.measurementTechnique=kJe[e.technique]),Ob

1007ject.keys(n).length>0?n:void 0},NJe=t=>Tre[t]?.assetClass??[];var Rre=(t=>(t.CORP_ACTIONS="CORP_ACTIONS",t.SEC_MASTER="SEC_MASTER",t.LIVE="LIVE",t.HISTORICAL="HISTORICAL",t.TICK="TICK",t.EQUITIES="EQUITIES",t.INDICES="INDICES",t.FUTURES="FUTURES",t.OPTIONS="OPTIONS",t.FUTURES_COMMODITY="FUTURES_COMMODITY",t.FUTURES_ENERGY="FUTURES_ENERGY",t.FUTURES_ELECTRICITY="FUTURES_ELECTRICITY",t.FUTURES_EMISSIONS="FUTURES_EMISSIONS",t.FUTURES_INTEREST_RATE="FUTURES_INTEREST_RATE",t.HOME="HOME",t))(Rre||{});class vD extends C0{static _DATASET_DATA_ATTRIBUTE_ID="dataset-schema-markup";static _DATASET_SCHEMA_MARKUP_MAPPING={"ARCX.PILLAR":D$e,"BATS.PITCH":H$e,"BATY.PITCH":eqe,"EDGA.PITCH":Gqe,"EDGX.PITCH":rHe,"EPRL.DOM":mHe,"EQUS.MINI":LHe,"EQUS.SUMMARY":GHe,"GLBX.MDP3":PVe,"IEXG.TOPS":dGe,"IFEU.IMPACT":_Ge,"IFLL.IMPACT":MGe,"IFUS.IMPACT":WGe,"INCR.IQX":vWe,"MEMX.MEMOIR":cYe,"NDEX.IMPACT":VYe,"OCEA.MEMOIR":rXe,"OPRA.PILLAR":mXe,"XASE.PILLAR":sKe,"XBOS.ITCH":vKe,"MAIN.CGIF":JWe,"CGI.CGIF":Sqe,"MSCI.CGIF":wYe,"FTSE.CGIF":aze,"MSTAR.CGIF":PYe,"CCCY.CGIF":fqe,"INAV.CGIF":sWe,"XCBF.PITCH":TKe,"XCHI.PILLAR":BKe,"XCIS.TRADESBBO":KKe,"XEEE.EOBI":oZe,"XEUR.EOBI":bZe,"XNAS.BASIC":NZe,"XNAS.ITCH":HZe,"XNYS.PILLAR":tJe,"XNYS.TRADES":fJe,"XPSX.ITCH":SJe,CORP_ACTIONS:Mqe,SEC_MASTER:jXe,LIVE:UWe,HISTORICAL:zVe,TICK:YXe,EQUITIES:IHe,INDICES:kWe,FUTURES:mze,FUTURES_COMMODITY:Aze,FUTURES_ENERGY:cVe,FUTURES_ELECTRICITY:Bze,FUTURES_EMISSIONS:Zze,FUTURES_INTEREST_RATE:wVe,OPTIONS:IXe,HOME:eGe};static getSchemaMarkupForDataset(e){const n=this._DATASET_SCHEMA_MARKUP_MAPPING[e];if(!n)return console.warn(`databento-seo: JSON schema markup (dataset) file is not found for ${e}`),n;const r=kre(e);return r?{...n,...r}:n}static setSchemaMarkup(e){const n=this.getSchemaMarkupForDataset(e);C0._setSchemaMarkup(n,this._DATASET_DATA_ATTRIBUTE_ID)}static removeSchemaMarkup(){C0._removeSchemaMarkup(this._DATASET_DATA_ATTRIBUTE_ID)}}let DJe=class Ll{static protocolMatcher=/^\s*(file|http|ws)s?:\/\//i;static domainMatcher=/^\s*([A-z\d]+\.)/i;static domainRelativeMatcher=/^\s*\/[A-z\d]+/i;static isResolved(e){return Ll.protocolMatcher.test(e)}static isWebSocketURL(e){return Ll.protocolMatcher.exec(e)?.[1]?.toLowerCase()==="ws"}static isFileSystemURL(e){return Ll.protocolMatcher.exec(e)?.[1]?.toLowerCase()==="file"}static isDomainRelative(e){return Ll.domainRelativeMatcher.test(e)}static isLocationRelative(e){return!(Ll.isDomainRelative(e)||Ll.isResolved(e))}static joinURLParts(...e){return e.map(n=>n.split("/")).flat().filter(Boolean).join("/").trim().replace(/^/,e[0]?.startsWith("/")?"/":"").replace(/$/,e[e.length-1]?.endsWith("/")?"/":"").replace(/\/+/g,"/").replace(/((http|ws)s?:)\/+/,"$1//")}constructor(...e){this.baseURL=Ll.joinURLParts(...e)||"/"}relativeURL(...e){const n=this.resolveURL(...e);if(n.startsWith(this.baseURL))return n.slice(this.baseURL.length);throw new Error("UrlBuilder does not support relative URL's outside the baseURL")}resolveURL(...e){let n=Ll.joinURLParts(...e);return n?Ll.isResolved(n)?n:Ll.isDomainRelative(n)?Ll.joinURLParts(this.baseURL,n):Ll.joinURLParts(this.baseURL,n):this.baseURL}};const PJe="{{ productName }} ({{ displaySymbol }}) {{ secTypeLower }} data - NYSE Arca Integrated",OJe="{{ displaySymbol }} {{ secTypeLower }} market data feed",MJe="{{ productUrl }}",LJe=`Browse {{ productName }} ({{ displaySymbol }}) market data. Get instant pricing estimates and make batch downloads of binary, CSV, and JSON flat files.
1008
1009NYSE Arca Integrated is a proprietary data feed that disseminates full order book depth from the NYSE Arca market (formerly ArcaEX, the Archipelago Exchange). It delivers every quote and order at each price level, along with any event that updates the order book after an order is placed, such as trade executions, modifications, or cancellations.
1010
1011NYSE Arca is the leading US exchange for listing and trading exchange-traded funds (ETFs), offering the narrowest quoted spreads and maintaining the highest percentage of time (71.1%) at the NBBO for all US ETFs. As of January 2025, it represented approximately 9.96% of the average daily volume (ADV) across all exch

1011ange-listed US securities.
1012
1013With L3 granularity, NYSE Arca Integrated captures information beyond the L1, top-of-book data available through SIP feeds, such as trade aggressor side, odd lots, and imbalances. This enables users to accurately model quote lifetimes, queue composition, and the auction process. Full depth of book data on Arca is particularly valuable over the SIPs for modeling pre-market, after-market, and sweep-to-fill liquidity on US exchange-traded products (ETPs) and ETFs.
1014
1015Historical data is available for usage-based rates or with any Databento US Equities subscription. Visit our [pricing page](/catalog/us-equities#pricing) for more details or to upgrade your plan.
1016
1017**Real-time NYSE Arca Order Imbalances**
1018
1019Real-time imbalance data is included with a [Plus or Unlimited plan](/catalog/us-equities#pricing). This offers valuable insights into NYSE Arca's opening and closing auctions by providing details like imbalance quantity, paired quantity, imbalance reference price, and book clearing price.
1020
1021While this data can also be licensed through the full NYSE Arca Integrated feed, it requires $14,500/month in exchange fees. The NYSE Arca Order Imbalances feed offers a more cost-effective license starting at $1,000/month. Real-time data is streamed using the same dataset ID: \`ARCX.PILLAR\`.
1022
1023Asset classes: Equities
1024
1025Origin: Directly captured at Equinix NY4 (Secaucus, NJ) with an FPGA-based network card and hardware timestamping. Synchronized to UTC with PTP.
1026
1027Supported data encodings: DBN, CSV, JSON ([Learn more](https://databento.com/docs/api-reference-historical/basics/encodings))
1028
1029Supported market data schemas: MBO, MBP-1, MBP-10, TBBO, Trades, BBO-1s, BBO-1m, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Imbalance, Statistics, Status ([Learn more](https://databento.com/docs/schemas-and-data-formats))
1030
1031Resolution: Immediate publication, nanosecond-resolution timestamps`,jJe="Acce

1031ss to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",FJe="United States",BJe={"@type":"DataCatalog","@id":"https://databento.com/datasets/ARCX.PILLAR",name:"Databento - NYSE Arca Integrated",url:"https://databento.com/datasets/ARCX.PILLAR",provider:{"@id":"https://databento.com/about#organization"},description:`NYSE Arca Integrated is a proprietary data feed that disseminates full order book depth from the NYSE Arca market (formerly ArcaEX, the Archipelago Exchange). It delivers every quote and order at each price level, along with any event that updates the order book after an order is placed, such as trade executions, modifications, or cancellations.
1032
1033NYSE Arca is the leading US exchange for listing and trading exchange-traded funds (ETFs), offering the narrowest quoted spreads and maintaining the highest percentage of time (71.1%) at the NBBO for all US ETFs. As of January 2025, it represented approximately 9.96% of the average daily volume (ADV) across all exchange-listed US securities.
1034
1035With L3 granularity, NYSE Arca Integrated captures information beyond the L1, top-of-book data available through SIP feeds, such as trade aggressor side, odd lots, and imbalances. This enables users to accurately model quote lifetimes, queue composition, and the auction process. Full depth of book data on Arca is particularly valuable over the SIPs for modeling pre-market, after-market, and sweep-to-fill liquidity on US exchange-traded products (ETPs) and ETFs.
1036
1037Historical data is available for usage-based rates or with any Databento US Equities subscription. Visit our [pricing page](/catalog/us-equities#pricing) for more details or to upgrade your plan.
1038
1039**Real-time NYSE Arca Order Imbalances**
1040
1041Real-time imbalance data is included with a [Plus or Unlimited plan](/catalog/us-equities#pricing). This offers valuable insights into NYSE Arca's opening and closing auctions by providing details like imbalance quantity, paired quantity, imbalance reference price, and book clearing price.
1042
1043While this data can also be licensed through the full NYSE Arca Integrated feed, it requires $14,500/month in exchange fees. The NYSE Arca Order Imbalances feed offers a more cost-effective license starting at $1,000/month. Real-time data is streamed using the same dataset ID: \`ARCX.PILLAR\`.`},UJe={"@id":"https://databento.com/about#organization"},$Je=[{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"dbn",fileFormat:"dbn",contentUrl:"{{ productUrl }}"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"csv",fileFormat:"csv",contentUrl:"{{ productUrl }}"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"json",fileFormat:"json",contentUrl:"{{ productUrl }}"}],qJe={"@context":"https://schema.org","@type":"Dataset","@id":"{{ productUrl }}",name:PJe,alternateName:OJe,url:MJe,description:LJe,conditionsOfAccess:jJe,spatialCoverage:FJe,includedInDataCatalog:BJe,creator:UJe,distribution:$Je},HJe="{{ productName }} ({{ displaySymbol }}) {{ secTypeLower }} data - Cboe BZX Depth",zJe="{{ displaySymbol }} full order book depth from Cboe BZX",VJe="{{ productUrl }}",GJe=`Browse {{ productName }} ({{ displaySymbol }}) market data. Get instant pricing estimates and make batch downloads of binary, CSV, and JSON flat files.
1044
1045Cboe BZX Depth is a proprietary data feed that disseminates full order book depth from the Cboe BZX Equities market. It delivers every quote and order at each price level, along with any event that updates the order book after an order is placed, such as trade executions, modifications, or cancellations.
1046
1047Historical data is available for usage-based rates or with any Databento US Equities subscription. Visit our pricing page for more details or to upgrade your plan.
1048
1049Asset classes: Equities
1050
1051Origin: Directly captured at Equinix NY4 (Secaucus, NJ) with an FPGA-based network card and hardware timestamping. Synchronized to UTC with PTP.
1052
1053Supported data encodings: DBN, CSV, JSON ([Learn more](https://databento.com/docs/api-reference-historical/basics/encodings))
1054
1055Supported market data schemas: MBO, MBP-1, MBP-10, TBBO, Trades, BBO-1s, BBO-1m, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Statistics, Status ([Learn more](https://databento.com/docs/schemas-and-data-formats))
1056
1057Resolution: Immediate publication, nanosecond-resolution timestamps`,WJe="Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",YJe="United States",XJe={"@type":"DataCatalog","@id":"https://databento.com/datasets/BATS.PITCH",name:"Databento - Cboe BZX Depth",url:"https://databento.com/datasets/BATS.PITCH",provider:{"@id":"https://databento.com/about#organization"},description:`Cboe BZX Depth is a proprietary data feed that disseminates full order book depth from the Cboe BZX Equities market. It delivers every quote and order at each price level, along with any event that updates the order book after an order is placed, such as trade executions, modifications, or cancellations.
1058
1059Historical data is available for usage-based rates or with any Databento US Equities subscription. Visit our pricing page for more details or to upgrade your plan.`},KJe={"@id":"https://databento.com/about#organization"},ZJe=[{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"dbn",fileFormat:"dbn",contentUrl:"{{ productUrl }}"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"csv",fileFormat:"csv",contentUrl:"{{ productUrl }}"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"json",fileFormat:"json",contentUrl:"{{ productUrl }}"}],JJe={"@context":"https://schema.org","@type":"Dataset","@id":"{{ productUrl }}",name:HJe,alternateName:zJe,url:VJe,description:GJe,conditionsOfAccess:WJe,spatialCoverage:YJe,includedInDataCatalog:XJe,creator:KJe,distribution:ZJe},QJe="{{ productName }} ({{ displaySymbol }}) {{ secTypeLower }} data - Cboe BYX Depth",eQe="{{ displaySymbol }} full order book depth from Cboe BYX",tQe="{{ productUrl }}",nQe=`Browse {{ productName }} ({{ displaySymbol }}) market data. Get instant pricing estimates and make batch downloads of binary, CSV, and JSON flat files.
1060
1061Cboe BYX Depth is a proprietary data feed that disseminates full order book depth from the Cboe BYX Equities market. It delivers every quote and order at each price level, along with any event that updates the order book after an order is placed, such as trade executions, modifications, or cancellations.
1062
1063Historical data is available for usage-based rates or with any Databento US Equities subscription. Visit our pricing page for more details or to upgrade your plan.
1064
1065Asset classes: Equities
1066
1067Origin: Directly captured at Equinix NY4 (Secaucus, NJ) with an FPGA-based network card and hardware timestamping. Synchronized to UTC with PTP.
1068
1069Supported data encodings: DBN, CSV, JSON ([Learn more](https://databento.com/docs/api-reference-historical/basics/encodings))
1070
1071Supported market data schemas: MBO, MBP-1, MBP-10, TBBO, Trades, BBO-1s, BBO-1m, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Statistics, Status ([Learn more](https://databento.com/docs/schemas-and-data-formats))
1072
1073Resolution: Immediate publication, nanosecond-resolution timestamps`,rQe="Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",aQe="United States",sQe={"@type":"DataCatalog","@id":"https://databento.com/datasets/BATY.PITCH",name:"Databento - Cboe BYX Depth",url:"https://databento.com/datasets/BATY.PITCH",provider:{"@id":"https://databento.com/about#organization"},description:`Cboe BYX Depth is a proprietary data feed that disseminates full order book depth from the Cboe BYX Equities market. It delivers every quote and order at each price level, along with any event that updates the order book after an order is placed, such as trade executions, modifications, or cancellations.
1074
1075Historical data is available for usage-based rates or with any Databento US Equities subscription. Visit our pricing page for more details or to upgrade your plan.`},iQe={"@id":"https://databento.com/about#organization"},oQe=[{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"dbn",fileFormat:"dbn",contentUrl:"{{ productUrl }}"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"csv",fileFormat:"csv",contentUrl:"{{ productUrl }}"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"json",fileFormat:"json",contentUrl:"{{ productUrl }}"}],lQe={"@context":"https://schema.org","@type":"Dataset","@id":"{{ productUrl }}",name:QJe,alternateName:eQe,url:tQe,description:nQe,conditionsOfAccess:rQe,spatialCoverage:aQe,includedInDataCatalog:sQe,creator:iQe,distribution:oQe},cQe="{{ productName }} reference price history ({{ displaySymbol }})",uQe="{{ displaySymbol }} real-time and historical crypto reference prices",dQe="{{ productUrl }}",fQe=`Browse {{ productName }} ({{ displaySymbol }}) index data. Get instant pricing estimates and make batch downloads of binary, CSV, and JSON flat files.
1076
1077Cboe Global Indices CCCY carries real-time spot cryptocurrency reference prices over the Cboe Global Indices Feed (CGIF), derived from consolidated best bid and offer data across major cryptocurrency exchanges.
1078
1079Asset class: Indices
1080
1081Supported data encodings: DBN, CSV, JSON ([Learn more](https://databento.com/docs/api-reference-historical/basics/encodings))
1082
1083Supported market data schemas: MBP-1, BBO-1s, BBO-1m, Trades, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Statistics, Status ([Learn more](https://databento.com/docs/schemas-and-data-formats))
1084
1085Resolution: Immediate publication, nanosecond-resolution timestamps`,pQe="Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",hQe="2026-01-04/..",mQe="Worldwide",gQe={"@type":"DataCatalog","@id":"https://databento.com/datasets/CCCY.CGIF",name:"Databento - Cboe Global Indices CCCY",url:"https://databento.com/datasets/CCCY.CGIF",provider:{"@id":"https://databento.com/about#organization"},description:"Cboe Global Indices CCCY provides live and historical spot cryptocurrency reference prices, derived from consolidated best bid and offer data across major crypto exchanges."},vQe={"@id":"https://databento.com/about#organization"},yQe=[{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"dbn",fileFormat:"dbn",contentUrl:"{{ productUrl }}"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"csv",fileFormat:"csv",contentUrl:"{{ productUrl }}"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"json",fileFormat:"json",contentUrl:"{{ productUrl }}"}],bQe=[{"@type":"Dataset",name:"Cboe Global Indices Feed (CGIF)",description:"The Cboe Global Indices Feed (CGIF) disseminates index values, and the instrument definitions and statistics that accompany them, over Cboe Titanium. It carries Cboe's own benchmark, volatility, and strategy indices alongside third-party series licensed from MSCI, FTSE Russell, and Morningstar, plus cryptocurrency reference prices and intraday indicative values for ETFs.",publisher:{"@type":"Organization",name:"Cboe Global Markets",url:"https://www.cboe.com/indices/",sameAs:["https://en.wikipedia.org/wiki/Cboe_Global_Markets","https://www.wikidata.org/wiki/Q30635731"]},url:"https://www.cboe.com/data/global-indices-feed"}],xQe={"@context":"https://schema.org","@type":"Dataset","@id":"{{ productUrl }}",name:cQe,alternateName:uQe,url:dQe,description:fQe,conditionsOfAccess:pQe,temporalCoverage:hQe,spatialCoverage:mQe,includedInDataCatalog:gQe,creator:vQe,distribution:yQe,isBasedOn:bQe},wQe="{{ productName }} index history ({{ displaySymbol }})",CQe="{{ displaySymbol }}

1085 real-time and historical strategy index values",_Qe="{{ productUrl }}",SQe=`Browse {{ productName }} ({{ displaySymbol }}) index data. Get instant pricing estimates and make batch downloads of binary, CSV, and JSON flat files.
1086
1087Cboe Global Indices CGI carries Cboe's proprietary strategy indices distributed over the Cboe Global Indices Feed (CGIF), covering buy-write, put-write, and options-overlay series, along with implied correlation and dispersion measures.
1088
1089Asset class: Indices
1090
1091Supported data encodings: DBN, CSV, JSON ([Learn more](https://databento.com/docs/api-reference-historical/basics/encodings))
1092
1093Supported market data schemas: MBP-1, BBO-1s, BBO-1m, Trades, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Statistics, Status ([Learn more](https://databento.com/docs/schemas-and-data-formats))
1094
1095Resolution: Immediate publication, nanosecond-resolution timestamps`,EQe="Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",IQe="2026-01-04/..",AQe="Worldwide",TQe={"@type":"DataCatalog","@id":"https://databento.com/datasets/CGI.CGIF",name:"Databento - Cboe Global Indices CGI",url:"https://databento.com/datasets/CGI.CGIF",provider:{"@id":"https://databento.com/about#organization"},description:"Cboe Global Indices CGI provides live and historical values for Cboe's proprietary buy-write, put-write, and options-overlay strategy indices, plus implied correlation and dispersion series."},kQe={"@id":"https://databento.com/about#organization"},RQe=[{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"dbn",fileFormat:"dbn",contentUrl:"{{ productUrl }}"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"csv",fileFormat:"csv",contentUrl:"{{ productUrl }}"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"json",fileFormat:"json",contentUrl:"{{ productUrl }}"}],NQe=[{"@type":"Dataset",name:"Cboe Global Indices Feed (CGIF)",description:"The Cboe Global Indices Feed (CGIF) disseminates index values, and the instrument definitions and statistics that accompany them, over Cboe Titanium. It carries Cboe's own benchmark, volatility, and strategy indices alongside third-party series licensed from MSCI, FTSE Russell, and Morningstar, plus cryptocurrency reference prices and intraday indicative values for ETFs.",publisher:{"@type":"Organization",name:"Cboe Global Markets",url:"https://www.cboe.com/indices/",sameAs:["https://en.wikipedia.org/wiki/Cboe_Global_Markets","https://www.wikidata.org/wiki/Q30635731"]},url:"https://www.cboe.com/data/global-indices-feed"}],DQe={"@context":"https://schema.org","@type":"Dataset","@id":"{{ productUrl }}",name:wQe,alternateName:CQe,url:_Qe,description:SQe,conditionsOfAccess:EQe,temporalCoverage:IQe,spatialCoverage:AQe,includedInDataCatalog:TQe,creator:kQe,distribution:RQe,isBasedOn:NQe},PQe="{{ productName }} ({{ displaySymbol }}) {{ secTypeLower }} data - Cboe EDGA Depth",OQe="{{ displaySymbol }} full order book depth from Cboe EDGA",MQe="{{ productUrl }}",LQe=`Browse {{ productName }} ({{ displaySymbol }}) market data. Get instant pricing estimates and make batch downloads of binary, CSV, and JSON flat files.
1096
1097Cboe EDGA Depth is a proprietary data feed that disseminates full order book depth from the Cboe EDGA Equities market. It delivers every quote and order at each price level, along with any event that updates the order book after an order is placed, such as trade executions, modifications, or cancellations.
1098
1099Historical data is available for usage-based rates or with any Databento US Equities subscription. Visit our pricing page for more details or to upgrade your plan.
1100
1101Asset classes: Equities
1102
1103Origin: Directly captured at Equinix NY4 (Secaucus, NJ) with an FPGA-based network card and hardware timestamping. Synchronized to UTC with PTP.
1104
1105Supported data encodings: DBN, CSV, JSON ([Learn more](https://databento.com/docs/api-reference-historical/basics/encodings))
1106
1107Supported market data schemas: MBO, MBP-1, MBP-10, TBBO, Trades, BBO-1s, BBO-1m, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Statistics, Status ([Learn more](https://databento.com/docs/schemas-and-data-formats))
1108
1109Resolution: Immediate publication, nanosecond-resolution timestamps`,jQe="Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",FQe="United States",BQe={"@type":"DataCatalog","@id":"https://databento.com/datasets/EDGA.PITCH",name:"Databento - Cboe EDGA Depth",url:"https://databento.com/datasets/EDGA.PITCH",provider:{"@id":"https://databento.com/about#organization"},description:`Cboe EDGA Depth is a proprietary data feed that disseminates full order book depth from the Cboe EDGA Equities market. It delivers every quote and order at each price level, along with any event that updates the order book after an order is placed, such as trade executions, modifications, or cancellations.
1110
1111Historical data is available for usage-based rates or with any Databento US Equities subscription. Visit our pricing page for more details or to upgrade your plan.`},UQe={"@id":"https://databento.com/about#organization"},$Qe=[{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"dbn",fileFormat:"dbn",contentUrl:"{{ productUrl }}"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"csv",fileFormat:"csv",contentUrl:"{{ productUrl }}"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"json",fileFormat:"json",contentUrl:"{{ productUrl }}"}],qQe={"@context":"https://schema.org","@type":"Dataset","@id":"{{ productUrl }}",name:PQe,alternateName:OQe,url:MQe,description:LQe,conditionsOfAccess:jQe,spatialCoverage:FQe,includedInDataCatalog:BQe,creator:UQe,distribution:$Qe},HQe="{{ productName }} ({{ displaySymbol }}) {{ secTypeLower }} data - Cboe EDGX Depth",zQe="{{ displaySymbol }} full order book depth from Cboe EDGX",VQe="{{ productUrl }}",GQe=`Browse {{ productName }} ({{ displaySymbol }}) market data. Get instant pricing estimates and make batch downloads of binary, CSV, and JSON flat files.
1112
1113Cboe EDGX Depth is a proprietary data feed that disseminates full order book depth from the Cboe EDGX Equities market. It delivers every quote and order at each price level, along with any event that updates the order book after an order is placed, including trade executions, modifications, or cancellations. With L3 granularity, it provides data not found in SIP feeds—such as explicit trade aggressor side and odd lots—for accurate modeling of quote lifetimes and queue composition.
1114
1115This dataset covers all securities traded or routed through the EDGX exchange, including those listed on the Nasdaq, NYSE, NYSE American, NYSE Arca, and other Cboe exchanges under Reg NMS. As of July 2025, Cboe E

1115DGX represented 4.88% of the average daily volume (ADV) across all exchange-listed US equities and is the most active of Cboe’s four equities venues.
1116
1117EDGX is also one of the few US equities venues to open early at 4:00 AM ET, making it particularly valuable for firms active in the pre-market session and for price discovery ahead of the broader market.
1118
1119Relative to its exchange license fees for real-time data, Cboe EDGX Depth is the most cost-effective full order book feed after Nasdaq TotalView-ITCH. It's an ideal supplement for teams already using TotalView to expand their MBO coverage across high-volume venues.
1120
1121Real-time Cboe EDGX data is included with a Plus or Unlimited subscription through our Databento US Equities service. Historical data is available for usage-based rates or with any subscription. Visit our [pricing page](https://databento.com/pricing#us-equities) for more details or to upgrade your plan.
1122
1123Asset classes: Equities
1124
1125Origin: Directly captured at Equinix NY4 (Secaucus, NJ) with an FPGA-based network card and hardware timestamping. Synchronized to UTC with PTP.
1126
1127Supported data encodings: DBN, CSV, JSON ([Learn more](https://databento.com/docs/api-reference-historical/basics/encodings))
1128
1129Supported market data schemas: MBO, MBP-1, MBP-10, TBBO, Trades, BBO-1s, BBO-1m, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Statistics, Status ([Learn more](https://databento.com/docs/schemas-and-data-formats))
1130
1131Resolution: Immediate publication, nanosecond-resolution timestamps`,WQe="Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",YQe="United States",XQe={"@type":"DataCatalog","@id":"https://databento.com/datasets/EDGX.PITCH",name:"Databento - Cboe EDGX Depth",url:"https://databento.com/datasets/EDGX.PITCH",provider:{"@id":"https://databento.com/about#organization"},description:`Cboe EDGX Depth is a proprietary data feed that disseminates full order book depth from the Cboe EDGX Equities market. It delivers every quote and order at each price level, along with any event that updates the order book after an order is placed, including trade executions, modifications, or cancellations. With L3 granularity, it provides data not found in SIP feeds—such as explicit trade aggressor side and odd lots—for accurate modeling of quote lifetimes and queue composition.
1132
1133This dataset covers all securities traded or routed through the EDGX exchange, including those listed on the Nasdaq, NYSE, NYSE American, NYSE Arca, and other Cboe exchanges under Reg NMS. As of July 2025, Cboe EDGX represented 4.88% of the average daily volume (ADV) across all exchange-listed US equities and is the most active of Cboe’s four equities venues.
1134
1135EDGX is also one of the few US equities venues to open early at 4:00 AM ET, making it particularly valuable for firms active in the pre-market session and for price discovery ahead of the broader market.
1136
1137Relative to its exchange license fees for real-time data, Cboe EDGX Depth is the most cost-effective full order book feed after Nasdaq TotalView-ITCH. It's an ideal supplement for teams already using TotalView to expand their MBO coverage across high-volume venues.
1138
1139Real-time Cboe EDGX data is included with a Plus or Unlimited subscription through our Databento US Equities service. Historical data is available for usage-based rates or with any subscription. Visit our [pricing page](https://databento.com/pricing#us-equities) for more details or to upgrade your plan.`},KQe={"@id":"https://databento.com/about#organization"},ZQe=[{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"dbn",fileFormat:"dbn",contentUrl:"{{ productUrl }}"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"csv",fileFormat:"csv",contentUrl:"{{ productUrl }}"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"json",fileFormat:"json",contentUrl:"{{ productUrl }}"}],JQe={"@context":"https://schema.org","@type":"Dataset","@id":"{{ productUrl }}",name:HQe,alternateName:zQe,url:VQe,description:GQe,conditionsOfAccess:WQe,spatialCoverage:YQe,includedInDataCatalog:XQe,creator:KQe,distribution:ZQe},QQe="{{ productName }} ({{ displaySymbol }}) {{ secTypeLower }} data - MIAX Pearl Depth of Market",eet="{{ displaySymbol }} full order book depth from MIAX Pearl Equities",tet="{{ productUrl }}",net=`Browse {{ productName }} ({{ displaySymbol }}) market data. Get instant pricing estimates and make batch downloads of binary, CSV, and JSON flat files.
1140

1141MIAX Pearl Depth of Market (DoM) is a proprietary data feed that disseminates full order book depth from the MIAX Pearl Equities market. It delivers every quote and order at each price level, along with any event that updates the order book after an order is placed, such as trade executions, modifications, or cancellations.
1142
1143Launched in 2020 as the 15th U.S. equities exchange, MIAX Pearl Equities offers trading in US cash equities with price-time allocation and maker-taking pricing. It achieved a record volume of 49.9 billion shares in 2024, marking 6.2% year-over-year growth. As of January 2025, this exchange represented approximately 1.35% of the average daily volume (ADV) across all US exchange-listed securities.
1144
1145With L3 granularity, MIAX Pearl DoM captures information beyond the L1, top-of-book data available through SIP feeds, including explicit trade aggressor side and odd lots. This enables users to accurately model order book imbalances, trade directionality, queue dynamics, and more.
1146
1147Historical data is available for usage-based rates or with any Databento US Equities subscription. Explore [pricing](/catalog/us-equities#pricing) for more details or to upgrade your plan.
1148
1149Asset classes: Equities
1150
1151Origin: Directly captured at Equinix NY4 (Secaucus, NJ) with an FPGA-based network card and hardware timestamping. Synchronized to UTC with PTP.
1152
1153Supported data encodings: DBN, CSV, JSON ([Learn more](https://databento.com/docs/api-reference-historical/basics/encodings))
1154
1155Supported market data schemas: MBO, MBP-1, MBP-10, TBBO, Trades, BBO-1s, BBO-1m, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Imbalance, Statistics, Status ([Learn more](https://databento.com/docs/schemas-and-data-formats))
1156
1157Resolution: Immediate publication, nanosecond-resolution timestamps`,ret="Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",aet="United States",set={"@type":"DataCatalog","@id":"https://databento.com/datasets/EPRL.DOM",name:"Databento - MIAX Pearl Depth of Market",url:"https://databento.com/datasets/EPRL.DOM",provider:{"@id":"https://databento.com/about#organization"},description:`MIAX Pearl Depth of Market (DoM) is a proprietary data feed that disseminates full order book depth from the MIAX Pearl Equities market. It delivers every quote and order at each price level, along with any event that updates the order book after an order is placed, such as trade executions, modifications, or cancellations.
1158
1159Launched in 2020 as the 15th U.S. equities exchange, MIAX Pearl Equities offers trading in US cash equities with price-time allocation and maker-taking pricing. It achieved a record volume of 49.9 billion shares in 2024, marking 6.2% year-over-year growth. As of January 2025, this exchange represented approximately 1.35% of the average daily volume (ADV) across all US exchange-listed securities.
1160
1161With L3 granularity, MIAX Pearl DoM captures information beyond the L1, top-of-book data available through SIP feeds, including explicit trade aggressor side and odd lots. This enables users to accurately model order book imbalances, trade directionality, queue dynamics, and more.
1162
1163Historical data is available for usage-based rates or with any Databento US Equities subscription. Explore [pricing](/catalog/us-equities#pricing) for more details or to upgrade your plan.`},iet={"@id":"https://databento.com/about#organization"},oet=[{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"dbn",fileFormat:"dbn",contentUrl:"{{ productUrl }}"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"csv",fileFormat:"csv",contentUrl:"{{ productUrl }}"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"json",fileFormat:"json",contentUrl:"{{ productUrl }}"}],cet={"@context":"https://schema.org","@type":"Dataset","@id":"{{ productUrl }}",name:QQe,alternateName:eet,url:tet,description:net,conditionsOfAccess:ret,spatialCoverage:aet,includedInDataCatalog:set,creator:iet,distribution:oet},uet="{{ productName }} ({{ displaySymbol }}) {{ secTypeLower }} data - Databento US Equities Mini",det="{{ displaySymbol }} cost-effective real-time top-of-book BBO and trades",fet="{{ productUrl }}",pet=`Browse {{ productName }} ({{ displaySymbol }}) market data. Get instant pricing estimates and make batch downloads of binary, CSV, and JSON flat files.
1164
1165The Databento US Equities Mini dataset is our most cost-effective solution for real-time, top-of-book US equities data. It provides accurate best bid and offer (BBO) quotes, liquidity, and trade volume data derived from a proprietary blend of direct feeds sourced from several NMS exchanges and ATSs. Databento US Equities Mini combines these feeds into a single composite dataset to deliver a synthetic "mini" NBBO, eliminating the need for users to manually aggregate BBOs from individual venues.
1166
1167Its constituent feeds are anonymized to comply with derived data licensing terms from their respective sources. This approach allows us to offer real-time Databento US Equities Mini data without requiring license fees or exch

1167ange paperwork, making it the only solution in the industry that supports commercial applications—such as external redistribution and non-display trading—without licensing restrictions.
1168
1169This dataset is optimized for a variety of real-time use cases, including display platforms, redistribution, brokerages, and analytics tools that need real-time BBO or last sale data—all without incurring additional licensing costs like per-user fees. Its entry-level pricing makes it an ideal starting point for equities data and an excellent choice for those integrating Databento's services for the first time. For users looking for an upgrade over this dataset, our next closest offerings are:
1170- [Nasdaq Basic with NLS Plus](/catalog/us-equities#XNAS.BASIC), which is recommended if your application requires broader L1, top-of-book (MBP-1) coverage. Exchange license fees start at $1,613.50 per month.
1171- [Nasdaq TotalView-ITCH](/catalog/us-equities#XNAS.ITCH), which is recommended if your application requires L2 (MBP-10) or L3 (MBO) data and longer history. Exchange license fees start at $1,690.50 per month.
1172
1173Live Databento US Equities Mini data is included with any Standard, Plus, or Unlimited subscription through our Databento US Equities service. Historical data is available for usage-based rates or with any subscription. Explore [pricing](/catalog/us-equities#pricing) for more details or to upgrade your plan.
1174
1175Asset classes: Equities
1176
1177Origin: Directly captured at Equinix NY4 (Secaucus, NJ) with an FPGA-based network card and hardware timestamping. Synchronized to UTC with PTP.
1178
1179Supported data encodings: DBN, CSV, JSON ([Learn more](https://databento.com/docs/api-reference-historical/basics/encodings))
1180
1181Supported market data schemas: MBP-1, TBBO, Trades, BBO-1s, BBO-1m, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition ([Learn more](https://databento.com/docs/schemas-and-data-formats))
1182
1183Resolution: Immediate publication, nanosecond-resolution timestamps`,het="Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",met="United States",get={"@type":"DataCatalog","@id":"https://databento.com/datasets/EQUS.MINI",name:"Databento - Databento US Equities Mini",url:"https://databento.com/datasets/EQUS.MINI",provider:{"@id":"https://databento.com/about#organization"},description:`The Databento US Equities Mini dataset is our most cost-effective solution for real-time, top-of-book US equities data. It provides accurate best bid and offer (BBO) quotes, liquidity, and trade volume data derived from a proprietary blend of direct feeds sourced from several NMS exchanges and ATSs. Databento US Equities Mini combines these feeds into a single composite dataset to deliver a synthetic "mini" NBBO, eliminating the need for users to manually aggregate BBOs from individual venues.
1184
1185Its constituent feeds are anonymized to comply with derived data licensing terms from their respective sources. This approach allows us to offer real-time Databento US Equities Mini data without requiring license fees or exch

1185ange paperwork, making it the only solution in the industry that supports commercial applications—such as external redistribution and non-display trading—without licensing restrictions.
1186
1187This dataset is optimized for a variety of real-time use cases, including display platforms, redistribution, brokerages, and analytics tools that need real-time BBO or last sale data—all without incurring additional licensing costs like per-user fees. Its entry-level pricing makes it an ideal starting point for equities data and an excellent choice for those integrating Databento's services for the first time. For users looking for an upgrade over this dataset, our next closest offerings are:
1188- [Nasdaq Basic with NLS Plus](/catalog/us-equities#XNAS.BASIC), which is recommended if your application requires broader L1, top-of-book (MBP-1) coverage. Exchange license fees start at $1,613.50 per month.
1189- [Nasdaq TotalView-ITCH](/catalog/us-equities#XNAS.ITCH), which is recommended if your application requires L2 (MBP-10) or L3 (MBO) data and longer history. Exchange license fees start at $1,690.50 per month.
1190
1191Live Databento US Equities Mini data is included with any Standard, Plus, or Unlimited subscription through our Databento US Equities service. Historical data is available for usage-based rates or with any subscription. Explore [pricing](/catalog/us-equities#pricing) for more details or to upgrade your plan.`},vet={"@id":"https://databento.com/about#organization"},yet=[{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"dbn",fileFormat:"dbn",contentUrl:"{{ productUrl }}"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"csv",fileFormat:"csv",contentUrl:"{{ productUrl }}"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"json",fileFormat:"json",contentUrl:"{{ productUrl }}"}],bet={"@context":"https://schema.org","@type":"Dataset","@id":"{{ productUrl }}",name:uet,alternateName:det,url:fet,description:pet,conditionsOfAccess:het,spatialCoverage:met,includedInDataCatalog:get,creator:vet,distribution:yet},xet="{{ productName }} ({{ displaySymbol }}) {{ secTypeLower }} data - Databento US Equities Summary",wet="{{ displaySymbol }} real-time tick data across all US equities venues",Cet="{{ productUrl }}",_et=`Browse {{ productName }} ({{ displaySymbol }}) market data. Get instant pricing estimates and make batch downloads of binary, CSV, and JSON flat files.
1192
1193Databento Equities Summary includes the prop feeds of the 3 US stock exchanges offered by Databento US Equities Basic (IEX, NYSE National, and NYSE Texas), plus Nasdaq top of book, NYSE top of book, and all ATSes reporting to the 3 FINRA TRFs.
1194
1195Asset class: Equities
1196
1197Origin: Directly captured at Equinix NY4 (Secaucus, NJ) with an FPGA-based network card and hardware timestamping. Synchronized to UTC with PTP.
1198
1199Supported data encodings: DBN, CSV, JSON ([Learn more](https://databento.com/docs/api-reference-historical/basics/encodings))
1200
1201Supported market data schemas: MBO, MBP-1, MBP-10, TBBO, Trades, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Imbalance ([Learn more](https://databento.com/docs/schemas-and-data-formats))
1202
1203Resolution: Immediate publication, nanosecond-resolution timestamps`,Eet="Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",Iet="United States",Aet={"@type":"DataCatalog","@id":"https://databento.com/datasets/EQUS.SUMMARY",name:"Databento - Databento US Equities Summary",url:"https://databento.com/datasets/EQUS.SUMMARY",provider:{"@id":"https://databento.com/about#organization"},description:"Databento US Equities Summary includes the prop feeds of the 3 US stock exchanges offered by Databento US Equities Basic (IEX, NYSE National, and NYSE Texas), plus Nasdaq top of book, NYSE top of book, and all ATSes reporting to the 3 FINRA TRFs."},Tet={"@id":"https://databento.com/about#organization"},ket=[{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"dbn",fileFormat:"dbn",contentUrl:"{{ productUrl }}"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"csv",fileFormat:"csv",contentUrl:"{{ productUrl }}"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"json",fileFormat:"json",contentUrl:"{{ productUrl }}"}],Ret={"@context":"https://schema.org","@type":"Dataset","@id":"{{ productUrl }}",name:xet,alternateName:wet,url:Cet,description:_et,conditionsOfAccess:Eet,spatialCoverage:Iet,includedInDataCatalog:Aet,creator:Tet,distribution:ket},Net="{{ productName }} index history ({{ displaySymbol }})",Det="{{ displaySymbol }} real-time and historical FTSE Russell index values",Pet="{{ productUrl }}",Oet=`Browse {{ productName }} ({{ displaySymbol }}) index data. Get instant pricing estimates and make batch downloads of binary, CSV, and JSON flat files.
1204
1205Cboe Global Indices FTSE Russell carries FTSE Russell's UK and US benchmark series over the Cboe Global Indices Feed (CGIF), including the FTSE 100 and the Russell 1000 and Russell 2000, along with their growth and value variants.
1206
1207Asset class: Indices
1208
1209Supported data encodings: DBN, CSV, JSON ([Learn more](https://databento.com/docs/api-reference-historical/basics/encodings))
1210
1211Supported market data schemas: MBP-1, BBO-1s, BBO-1m, Trades, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Statistics, Status ([Learn more](https://databento.com/docs/schemas-and-data-formats))
1212
1213Resolution: Immediate publication, nanosecond-resolution timestamps`,Met="Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",Let="2026-01-04/..",jet="Worldwide",Fet={"@type":"DataCatalog","@id":"https://databento.com/datasets/FTSE.CGIF",name:"Databento - Cboe Global Indices FTSE Russell",url:"https://databento.com/datasets/FTSE.CGIF",provider:{"@id":"https://databento.com/about#organization"},description:"Cboe Global Indices FTSE Russell provides live and historical values for FTSE Russell's UK and US benchmark index series, including the FTSE 100 and the Russell 1000 and 2000."},Bet={"@id":"https://databento.com/about#organization"}

1213,Uet=[{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"dbn",fileFormat:"dbn",contentUrl:"{{ productUrl }}"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"csv",fileFormat:"csv",contentUrl:"{{ productUrl }}"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"json",fileFormat:"json",contentUrl:"{{ productUrl }}"}],$et=[{"@type":"Dataset",name:"Cboe Global Indices Feed (CGIF)",description:"The Cboe Global Indices Feed (CGIF) disseminates index values, and the instrument definitions and statistics that accompany them, over Cboe Titanium. It carries Cboe's own benchmark, volatility, and strategy indices alongside third-party series licensed from MSCI, FTSE Russell, and Morningstar, plus cryptocurrency reference prices and intraday indicative values for ETFs.",publisher:{"@type":"Organization",name:"Cboe Global Markets",url:"https://www.cboe.com/indices/",sameAs:["https://en.wikipedia.org/wiki/Cboe_Global_Markets","https://www.wikidata.org/wiki/Q30635731"]},url:"https://www.cboe.com/data/global-indices-feed"}],qet={"@context":"https://schema.org","@type":"Dataset","@id":"{{ productUrl }}",name:Net,alternateName:Det,url:Pet,description:Oet,conditionsOfAccess:Met,temporalCoverage:Let,spatialCoverage:jet,includedInDataCatalog:Fet,creator:Bet,distribution:Uet,isBasedOn:$et},Het="{{ productName }} tick data ({{ displaySymbol }}) - CME Globex MDP 3.0",zet="{{ displaySymbol }} real-time and historical intraday {{ secTypeLower }} data",Vet="{{ productUrl }}",Get=`Browse {{ productName }} ({{ displaySymbol }}) market data. Get instant pricing estimates and make batch downloads of binary, CSV, and JSON flat files.
1214
1215  The CME Group Market Data Platform (MDP) 3.0 disseminates event-based bid, ask, trade, and statistical data for CME Group markets and also provides recovery and support services for market data processing. MDP 3.0 includes the introduction of Simple Binary Encoding (SBE) and Event Driven Messaging to the CME Group Market Data Platform. Simple Binary Encoding (SBE) is based on simple primitive encoding, and is optimized for low bandwidth, low latency, and direct data access. Since March 2017, MDP 3.0 has changed from providing aggregated depth at every price level (like CME's legacy FAST feed) to providing full granularity of every order event for every instrument's direct book.
1216MDP 3.0 is the sole data feed for all instruments traded on CME Globex, including futures, options, spreads and combinations.
1217Note: We classify exchange-traded spreads between futures outrights as futures, and option combinations as options.
1218
1219  
1220
1221  Origin: Directly captured at Aurora DC3 with an FPGA-based network card and hardware timestamping. Synchronized to UTC with PTP
1222
1223  Supported data encodings:
1224  DBN, CSV, JSON [Learn more](https://databento.com/docs/api-reference-historical/basics/encodings)
1225
1226  Supported market data schemas:
1227  MBO, MBP-1, MBP-10, TBBO, Trades, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Statistics [Learn more](https://databento.com/docs/schemas-and-data-formats)
1228
1229  Resolution:
1230  Immediate publication, nanosecond-resolution timestamps
1231  `,Wet="Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",Yet="2010-06-06/..",Xet={"@type":"DataCatalog","@id":"https://databento.com/datasets/GLBX.MDP3",name:"Databento - CME Globex MDP 3.0",url:"https://databento.com/datasets/GLBX.MDP3",provider:{"@id":"https://databento.com/about#organization"},description:`The CME Group Market Data Platform (MDP) 3.0 disseminates event-based bid, ask, trade, and statistical data for CME Group markets and also provides recovery and support services for market data processing. MDP 3.0 includes the introduction of Simple Binary Encoding (SBE) and Event Driven Messaging to the CME Group Market Data Platform. Simple Binary Encoding (SBE) is based on simple primitive encoding, and is optimized for low bandwidth, low latency, and direct data access. Since March 2017, MDP 3.0 has changed from providing aggregated depth at every price level (like CME's legacy FAST feed) to providing full granularity of every order event for every instrument's direct book.
1232MDP 3.0 is the sole data feed for all instruments traded on CME Globex, including futures, options, spreads and combinations.
1233Note: We classify exchange-traded spreads between futures outrights as futures, and option combinations as options.`},Ket={"@id":"https://databento.com/about#organization"},Zet=[{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"dbn",fileFormat:"dbn",contentUrl:"{{ productUrl }}"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"csv",fileFormat:"csv",contentUrl:"{{ productUrl }}"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"json",fileFormat:"json",contentUrl:"{{ productUrl }}"}],Jet=[{"@type":"Dataset",name:"CME Globex MDP 3.0",description:`The CME Group Market Data Platform (MDP) 3.0 disseminates event-based bid, ask, trade, and statistical data for CME Group markets and also provides recovery and support services for market data processing. MDP 3.0 includes the introduction of Simple Binary Encoding (SBE) and Event Driven Messaging to the CME Group Market Data Platform. Simple Binary Encoding (SBE) is based on simple primitive encoding, and is optimized for low bandwidth, low latency, and direct data access. Since March 2017, MDP 3.0 has changed from providing aggregated depth at every price level (like CME's legacy FAST feed) to providing full granularity of every order event for every instrument's direct book.
1234MDP 3.0 is the sole data feed for all instruments traded on CME Globex, including futures, options, spreads and combinations.
1235Note: We classify exchange-traded spreads between futures outrights as futures, and option combinations as options.`,publisher:{"@type":"Organization",name:"Chicago Mercantile Exchange (CME)",url:"https://www.cmegroup.com",sameAs:"https://wikipedia.org/wiki/CME_Group"},url:"https://www.cmegroup.com/market-data/browse-data.html",sameAs:["https://www.cmegroup.com/confluence/display/EPICSANDBOX/CME+MDP+3.0+Market+Data","https://www.cmegroup.com/market-data/distributor/market-data-platform.html"],includedInDataCatalog:{"@type":"DataCatalog","@id":"https://databento.com#data-catalog",name:"Databento",url:"https://databento.com",provider:{"@id":"https://databento.com/about#organization"}}}],Qet={"@context":"https://schema.org","@type":"Dataset","@id":"{{ productUrl }}",name:Het,alternateName:zet,url:Vet,description:Get,conditionsOfAccess:Wet,temporalCoverage:Yet,includedInDataCatalog:Xet,creator:Ket,distribution:Zet,isBasedOn:Jet},ett="{{ productName }} ({{ displaySymbol }}) {{ secTypeLower }} data - IEX TOPS",ttt="{{ displaySymbol }} top of book and trades data from IEX TOPS",ntt="{{ productUrl }}",rtt=`Browse {{ productName }} ({{ displaySymbol }}) market data. Get instant pricing estimates and make batch downloads of binary, CSV, and JSON flat files.
1236
1237IEX TOPS is a data feed provided by the IEX Group, a US equities exchange. It includes top-of-book data, executions (trades), and status information. No license agreement is required for commercial use, and there are zero license fees for distribution, display, and non-display applications. This feed is ideal for web apps, brokerages, systematic trading, and cloud-based environments.
1238
1239Asset classes: Equities
1240
1241Origin: Directly captured at Equinix NY4 (Secaucus, NJ) with an FPGA-based network card and hardware timestamping. Synchronized to UTC with PTP.
1242
1243Supported data encodings: DBN, CSV, JSON ([Learn more](https://databento.com/docs/api-reference-historical/basics/encodings))
1244
1245Supported market data schemas: MBP-1, MBP-10, TBBO, Trades, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition ([Learn more](https://databento.com/docs/schemas-and-data-formats))
1246
1247Resolution: Immediate publication, nanosecond-resolution timestamps`,att="Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",stt="United States",itt={"@type":"DataCatalog","@id":"https://databento.com/datasets/IEXG.TOPS",name:"Databento - IEX TOPS",url:"https://databento.com/datasets/IEXG.TOPS",provider:{"@id":"https://databento.com/about#organization"},description:"IEX TOPS is a data feed provided by the IEX Group, a US equities exchange. It includes top-of-book data, executions (trades), and status information. No license agreement is required for commercial use, and there are zero license fees for distribution, display, and non-display applications. This feed is ideal for web apps, brokerages, systematic trading, and cloud-based environments."},ott={"@id":"https://databento.com/about#organization"},ltt=[{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"dbn",fileFormat:"dbn",contentUrl:"{{ productUrl }}"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"csv",fileFormat:"csv",contentUrl:"{{ productUrl }}"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"json",fileFormat:"json",contentUrl:"{{ productUrl }}"}],ctt={"@context":"https://schema.org","@type":"Dataset","@id":"{{ productUrl }}",name:ett,alternateName:ttt,url:ntt,description:rtt,conditionsOfAccess:att,spatialCoverage:stt,includedInDataCatalog:itt,creator:ott,distribution:ltt},utt="ICE {{ productName }} ({{ displaySymbol }}) - Real-time and Historical Data",dtt="{{ displaySymbol }} {{ secTypeLower }} contracts - historical and live prices",ftt="{{ productUrl }}",ptt=`Browse {{ productName }} ({{ displaySymbol }}) market data. Get instant pricing estimates and make batch downloads of binary, CSV, and JSON flat files.
1248
1249ICE Europe Commodities iMpact is the primary data feed for ICE Europe Commodities and covers 50% of worldwide crude and refined oil futures trading, as well as other options and futures contracts like natural gas, power, coal, emissions, and soft commodities. This dataset includes all commodities on ICE Europe Commodities—all listed outrights, spreads, options, and options combinations across every expiration month. Interest rates and financial products are not included at this time and will be part of a separate dataset.
1250
1251Asset class: Futures, Options
1252
1253Origin: Captured at Aurora DC3 with an FPGA-based network card and hardware timestamping. Synchronized to UTC with PTP
1254
1255Supported data encodings: DBN, CSV, JSON ([Learn more](https://databento.com/docs/api-reference-historical/basics/encodings))
1256
1257Supported market data schemas: MBO, MBP-1, MBP-10, TBBO, Trades, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Statistics ([Learn more](https://databento.com/docs/schemas-and-data-formats))
1258
1259Resolution: Immediate publication, nanosecond-resolution timestamps`,htt="Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",mtt="2018-12-23/..",gtt="Worldwide",vtt={"@type":"DataCatalog","@id":"https://databento.com/datasets/IFEU.IMPACT",name:"Databento - ICE Europe Commodities iMpact",url:"https://databento.com/datasets/IFEU.IMPACT",provider:{"@id":"https://databento.com/about#organization"},description:"ICE Europe Commodities iMpact is the primary data feed for ICE Europe Commodities and covers 50% of worldwide crude and refined oil futures trading, as well as other options and futures contracts like natural gas, power, coal, emissions, and soft commodities. This dataset includes all commodities on ICE Europe Commodities—all listed outrights, spreads, options, and options combinations across every expiration month. Interest rates and financial products are not included at this time and will be part of a separate dataset."},ytt={"@id":"https://databento.com/about#organization"},btt=[{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"dbn",fileFormat:"dbn",contentUrl:"{{ productUrl }}"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"csv",fileFormat:"csv",contentUrl:"{{ productUrl }}"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"json",fileFormat:"json",contentUrl:"{{ productUrl }}"}],xtt=[{"@type":"Dataset",name:"ICE Europe Commodities iMpact",description:"ICE Europe Commodities iMpact is the primary data feed for ICE Europe Commodities, home to 50% of world's crude and refined oil futures trading, as well as other options and futures contracts like natural gas, power, coal, emissions, and soft commodities. This dataset includes all commodities on ICE Europe Commodities—all listed outrights, spreads, options, and options combinations across every expiration month. Interest rates and financial products are not included at this time and will be part of a separate dataset.",publisher:{"@type":"Organization",name:"ICE Europe Commodities",url:"https://www.ice.com/futures-europe",sameAs:["https://www.wikidata.org/wiki/Q93355979","https://en.wikipedia.org/wiki/Intercontinental_Exchange"],description:"ICE Europe Commodities is home to futures and options contracts for crude oil, interest rates, equity derivatives, natural gas, power, coal, emissions and soft commodities."},url:"https://www.ice.com/products/Futures-Options",includedInDataCatalog:{"@type":"DataCatalog","@id":"https://databento.com#data-catalog",name:"Databento",url:"https://databento.com",provider:{"@id":"https://databento.com/about#organization"}}}],wtt={"@context":"https://schema.org","@type":"Dataset","@id":"{{ productUrl }}",name:utt,alternateName:dtt,url:ftt,description:ptt,conditionsOfAccess:htt,temporalCoverage:mtt,spatialCoverage:gtt,includedInDataCatalog:vtt,creator:ytt,distribution:btt,isBasedOn:xtt},Ctt="ICE {{ productName }} ({{ displaySymbol }}) - Real-time and Historical Data",_tt="{{ displaySymbol }} {{ secTypeLower }} contracts - historical and live prices",Stt="{{ productUrl }}",Ett=`Browse {{ productName }} ({{ displaySymbol }}) market data. Get instant pricing estimates and make batch downloads of binary, CSV, and JSON flat files.
1260
1261ICE Europe Financials is sourced from ICE’s proprietary iMpact feed and delivers all financial futures and options listed on ICE Futures Europe. It captures full order book depth for derivatives used to manage risk across European yield curves and major equity benchmarks.
1262
1263This dataset covers a broad range of interest rate products, such as short-term interest rate futures (STIRs), benchmark contracts like Euribor, SONIA, and SOFR, Swapnote contracts, and government bond futures, including Long, Medium, and Short Term Gilts. It also offers equity index derivatives like FTSE 100 futures and London Stock Exchange options.
1264
1265ICE Europe Financials provides all listed outrights, spreads, options, and option combinations across every expiration month. 

1265Commodity derivatives from ICE Futures Europe are available in the ICE Europe Commodities dataset.
1266
1267Asset class: Futures, Options
1268
1269Origin: Captured at Aurora DC3 with an FPGA-based network card and hardware timestamping. Synchronized to UTC with PTP
1270
1271Supported data encodings: DBN, CSV, JSON ([Learn more](https://databento.com/docs/api-reference-historical/basics/encodings))
1272
1273Supported market data schemas: MBO, MBP-1, MBP-10, TBBO, Trades, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Statistics ([Learn more](https://databento.com/docs/schemas-and-data-formats))
1274
1275Resolution: Immediate publication, nanosecond-resolution timestamps`,Itt="Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",Att="2024-12-10/..",Ttt="Worldwide",ktt={"@type":"DataCatalog","@id":"https://databento.com/datasets/IFLL.IMPACT",name:"Databento - ICE Europe Financials iMpact",url:"https://databento.com/datasets/IFLL.IMPACT",provider:{"@id":"https://databento.com/about#organization"},description:"ICE Europe Financials covers European interest rate and equity index derivatives, including futures and options on STIRs, Euribor, SONIA, gilts, and FTSE 100. This service provides prices, statistics, and reference data with L1, L2, and L3 granularity."},Rtt={"@id":"https://databento.com/about#organization"},Ntt=[{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"dbn",fileFormat:"dbn",contentUrl:"{{ productUrl }}"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"csv",fileFormat:"csv",contentUrl:"{{ productUrl }}"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"json",fileFormat:"json",contentUrl:"{{ productUrl }}"}],Dtt=[{"@type":"Dataset",name:"ICE Europe Financials iMpact",description:"ICE Europe Financials covers European interest rate and equity index derivatives, including futures and options on STIRs, Euribor, SONIA, gilts, and FTSE 100. This service provides prices, statistics, and reference data with L1, L2, and L3 granularity.",publisher:{"@type":"Organization",name:" ICE Futures Europe",url:"https://www.ice.com/futures-europe",sameAs:["https://www.wikidata.org/wiki/Q93355979","https://en.wikipedia.org/wiki/Intercontinental_Exchange"]},url:"https://www.ice.com/products/Futures-Options",includedInDataCatalog:{"@type":"DataCatalog","@id":"https://databento.com#data-catalog",name:"Databento",url:"https://databento.com",provider:{"@id":"https://databento.com/about#organization"}}}],Ptt={"@context":"https://schema.org","@type":"Dataset","@id":"{{ productUrl }}",name:Ctt,alternateName:_tt,url:Stt,description:Ett,conditionsOfAccess:Itt,temporalCoverage:Att,spatialCoverage:Ttt,includedInDataCatalog:ktt,creator:Rtt,distribution:Ntt,isBasedOn:Dtt},Ott="ICE US {{ productName }} ({{ displaySymbol }}) - Real-time and Historical Data",Mtt="{{ displaySymbol }} {{ secTypeLower }} contracts - historical and live prices",Ltt="{{ productUrl }}",jtt=`Browse {{ productName }} ({{ displaySymbol }}) market data. Get instant pricing estimates and make batch downloads of binary, CSV, and JSON flat files.
1276
1277ICE Futures US iMpact is the primary data feed for ICE Futures US and covers the majority of trading in agricultural commodities, including sugar, coffee, cotton, and cocoa futures and options. This comprehensive market data feed also includes financial products such as equity indexes, currencies, and US Treasury futures contracts. The dataset provides complete market depth information across all listed outrights, spreads, options, and options combinations for every expiration month. ICE Futures US represents one of the most significant exchanges for US-based agricultural and financial derivatives, offering essential price discovery and risk management tools for global market participants.
1278
1279Asset class: Futures, Options
1280
1281Origin: Captured at Aurora DC3 with an FPGA-based network card and hardware timestamping. Synchronized to UTC with PTP
1282
1283Supported data encodings: DBN, CSV, JSON ([Learn more](https://databento.com/docs/api-reference-historical/basics/encodings))
1284
1285Supported market data schemas: MBO, MBP-1, MBP-10, TBBO, Trades, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Statistics ([Learn more](https://databento.com/docs/schemas-and-data-formats))
1286
1287Resolution: Immediate publication, nanosecond-resolution timestamps`,Ftt="Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",Btt="2018-12-23/..",Utt="Worldwide",$tt={"@type":"DataCatalog","@id":"https://databento.com/datasets/IFUS.IMPACT",name:"Databento - ICE Futures US iMpact",url:"https://databento.com/datasets/IFUS.IMPACT",provider:{"@id":"https://databento.com/about#organization"},description:"ICE Futures US iMpact is the primary data feed for ICE Futures US and covers the majority of trading in agricultural commodities, including sugar, coffee, cotton, and cocoa futures and options. This comprehensive market data feed also includes financial products such as equity indexes, currencies, and US Treasury futures contracts. The dataset provides complete market depth information across all listed outrights, spreads, options, and options combinations for every expiration month. ICE Futures US represents one of the most significant exchanges for US-based agricultural and financial derivatives, offering essential price discovery and risk management tools for global market participants."},qtt={"@id":"https://databento.com/about#organization"},Htt=[{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"dbn",fileFormat:"dbn",contentUrl:"{{ productUrl }}"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"csv",fileFormat:"csv",contentUrl:"{{ productUrl }}"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"json",fileFormat:"json",contentUrl:"{{ productUrl }}"}],ztt=[{"@type":"Dataset",name:"ICE Futures US iMpact",description:"ICE Futures US iMpact is the primary data feed for ICE Futures US and covers the majority of trading in agricultural commodities, including sugar, coffee, cotton, and cocoa futures and options. This comprehensive market data feed also includes financial products such as equity indexes, currencies, and US Treasury futures contracts. The dataset provides complete market depth information across all listed outrights, spreads, options, and options combinations for every expiration month. ICE Futures US represents one of the most significant exchanges for US-based agricultural and financial derivatives, offering essential price discovery and risk management tools for global market participants.",publisher:{"@type":"Organization",name:"ICE Futures US",url:"https://www.ice.com/futures-us",sameAs:["https://www.wikidata.org/wiki/Q1519402?wprov=acrw1_0","https://en.wikipedia.org/wiki/Intercontinental_Exchange","https://www.marketswiki.com/wiki/ICE_Futures_U.S."],description:"Intercontinental Exchange conducts global futures and options markets in soft commodity, foreign exchange, interest rates, currencies, metals and equity index markets through its U.S. futures exchange, ICE U.S., formerly the New York Board of Trade (NYBOT). The NYBOT was acquired by ICE in January 2007."},url:"https://www.ice.com/products/Futures-Options",includedInDataCatalog:{"@type":"DataCatalog","@id":"https://databento.com#data-catalog",name:"Databento",url:"https://databento.com",provider:{"@id":"https://databento.com/about#organization"}}}],Vtt={"@context":"https://schema.org","@type":"Dataset","@id":"{{ productUrl }}",name:Ott,alternateName:Mtt,url:Ltt,description:jtt,conditionsOfAccess:Ftt,temporalCoverage:Btt,spatialCoverage:Utt,includedInDataCatalog:$tt,creator:qtt,distribution:Htt,isBasedOn:ztt},Gtt="{{ productName }} intraday indicative value ({{ displaySymbol }})",Wtt="{{ displaySymbol }} real-time and historical iNAV, IIV, and IOPV values",Ytt="{{ productUrl }}",Xtt=`Browse {{ productName }} ({{ displaySymbol }}) index data. Get instant pricing estimates and make batch downloads of binary, CSV, and JSON flat files.
1288
1289Cboe Global Indices INAV carries intraday indicative values (iNAV, IIV, IOPV) over the Cboe Global Indices Feed (CGIF) - real-time fair value estimates for more than 200 ETFs, ETPs, and structured products.
1290
1291Asset class: Indices
1292
1293Supported data encodings: DBN, CSV, JSON ([Learn more](https://databento.com/docs/api-reference-historical/basics/encodings))
1294
1295Supported market data schemas: MBP-1, BBO-1s, BBO-1m, Trades, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Statistics, Status ([Learn more](https://databento.com/docs/schemas-and-data-formats))
1296
1297Resolution: Immediate publication, nanosecond-resolution timestamps`,Ktt="Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",Ztt="2026-01-04/..",Jtt="United States",Qtt={"@type":"DataCatalog","@id":"https://databento.com/datasets/INAV.CGIF",name:"Databento - Cboe Global Indices INAV",url:"https://databento.com/datasets/INAV.CGIF",provider:{"@id":"https://databento.com/about#organization"},description:"Cboe Global Indices INAV provides live and historical intraday indicative values (iNAV, IIV, IOPV), the real-time fair value estimates published for ETFs, ETPs, and structured products."},ent={"@id":"https://databento.com/about#organization"},tnt=[{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"dbn",fileFormat:"dbn",contentUrl:"{{ productUrl }}"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"csv",fileFormat:"csv",contentUrl:"{{ productUrl }}"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"json",fileFormat:"json",contentUrl:"{{ productUrl }}"}],nnt=[{"@type":"Dataset",name:"Cboe Global Indices Feed (CGIF)",description:"The Cboe Global Indices Feed (CGIF) disseminates index values, and the instrument definitions and statistics that accompany them, over Cboe Titanium. It carries Cboe's own benchmark, volatility, and strategy indices alongside third-party series licensed from MSCI, FTSE Russell, and Morningstar, plus cryptocurrency reference prices and intraday indicative values for ETFs.",publisher:{"@type":"Organization",name:"Cboe Global Markets",url:"https://www.cboe.com/indices/",sameAs:["https://en.wikipedia.org/wiki/Cboe_Global_Markets","https://www.wikidata.org/wiki/Q30635731"]},url:"https://www.cboe.com/data/global-indices-feed"}],rnt={"@context":"https://schema.org","@type":"Dataset","@id":"{{ productUrl }}",name:Gtt,alternateName:Wtt,url:Ytt,description:Xtt,conditionsOfAccess:Ktt,temporalCoverage:Ztt,spatialCoverage:Jtt,includedInDataCatalog:Qtt,creator:ent,distribution:tnt,isBasedOn:nnt},ant="{{ productName }} index history ({{ displaySymbol }})",snt="{{ displaySymbol }} real-time and historical index values",int="{{ productUrl }}",ont=`Browse {{ productName }} ({{ displaySymbol }}) index data. Get instant pricing estimates and make batch downloads of binary, CSV, and JSON flat files.
1298
1299Cboe Global Indices MAIN carries the flagship benchmarks distributed over the Cboe Global Indices Feed (CGIF), including the S&P 500 Index (SPX) and the Cboe Volatility Index (VIX), plus the related volatility and skew measures used across the derivatives market.
1300
1301Asset class: Indices
1302
1303Supported data encodings: DBN, CSV, JSON ([Learn more](https://databento.com/docs/api-reference-historical/basics/encodings))
1304
1305Supported market data schemas: MBP-1, BBO-1s, BBO-1m, Trades, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Statistics, Status ([Learn more](https://databento.com/docs/schemas-and-data-formats))
1306
1307Resolution: Immediate publication, nanosecond-resolution timestamps`,lnt="Acce

1307ss to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",cnt="2026-01-04/..",unt="United States",dnt={"@type":"DataCatalog","@id":"https://databento.com/datasets/MAIN.CGIF",name:"Databento - Cboe Global Indices MAIN",url:"https://databento.com/datasets/MAIN.CGIF",provider:{"@id":"https://databento.com/about#organization"},description:"Cboe Global Indices MAIN provides live and historical index values for Cboe's flagship benchmark and volatility series, including the S&P 500 Index (SPX) and the Cboe Volatility Index (VIX)."},fnt={"@id":"https://databento.com/about#organization"},pnt=[{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"dbn",fileFormat:"dbn",contentUrl:"{{ productUrl }}"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"csv",fileFormat:"csv",contentUrl:"{{ productUrl }}"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"json",fileFormat:"json",contentUrl:"{{ productUrl }}"}],hnt=[{"@type":"Dataset",name:"Cboe Global Indices Feed (CGIF)",description:"The Cboe Global Indices Feed (CGIF) disseminates index values, and the instrument definitions and statistics that accompany them, over Cboe Titanium. It carries Cboe's own benchmark, volatility, and strategy indices alongside third-party series licensed from MSCI, FTSE Russell, and Morningstar, plus cryptocurrency reference prices and intraday indicative values for ETFs.",publisher:{"@type":"Organization",name:"Cboe Global Markets",url:"https://www.cboe.com/indices/",sameAs:["https://en.wikipedia.org/wiki/Cboe_Global_Markets","https://www.wikidata.org/wiki/Q30635731"]},url:"https://www.cboe.com/data/global-indices-feed"}],mnt={"@context":"https://schema.org","@type":"Dataset","@id":"{{ productUrl }}",name:ant,alternateName:snt,url:int,description:ont,conditionsOfAccess:lnt,temporalCoverage:cnt,spatialCoverage:unt,includedInDataCatalog:dnt,creator:fnt,distribution:pnt,isBasedOn:hnt},gnt="{{ productName }} ({{ displaySymbol }}) {{ secTypeLower }} data - MEMX MEMOIR Depth",vnt="{{ displaySymbol }} full order book depth from MEMX",ynt="{{ productUrl }}",bnt=`Browse {{ productName }} ({{ displaySymbol }}) market data. Get instant pricing estimates and make batch downloads of binary, CSV, and JSON flat files.
1308
1309MEMX MEMOIR Depth is a proprietary data feed that disseminates full order book depth from the Members Exchange (MEMX) Equities market. It delivers every quote and order at each price level, along with any event that updates the order book after an order is placed, such as trade executions, modifications, or cancellations. 
1310
1311MEMX launched as the 14th US equities exchange in 2020.  Founded by nine investment firms aiming to lower fees and simplify market structure, it operates without the tiered fee models or complex order priority behavior found on some legacy exchanges. MEMX's low cost and transparent pricing have made it popular with proprietary trading firms, market makers, and algorithmic traders. As of February 2025, MEMX accounted for approximately 2.15% of average daily volume (ADV) across all U.S. exchange-listed securities.
1312
1313With L3 granularity, MEMX MEMOIR Depth captures information beyond the L1, top-of-book data available through SIP feeds, including explicit trade aggressor side and odd lots. This enables users to accurately model order book imbalances, trade directionality, queue dynamics, and more. 
1314
1315Historical data is available for usage-based rates or with any Databento US Equities subscription. Explore [pricing](/catalog/us-equities#pricing) for more details or to upgrade your plan.
1316
1317Asset classes: Equities
1318
1319Origin: Directly captured at Equinix NY4 (Secaucus, NJ) with an FPGA-based network card and hardware timestamping. Synchronized to UTC with PTP.
1320
1321Supported data encodings: DBN, CSV, JSON ([Learn more](https://databento.com/docs/api-reference-historical/basics/encodings))
1322
1323Supported market data schemas: MBO, MBP-1, MBP-10, TBBO, Trades, BBO-1s, BBO-1m, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Statistics, Status ([Learn more](https://databento.com/docs/schemas-and-data-formats))
1324
1325Resolution: Immediate publication, nanosecond-resolution timestamps`,xnt="Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",wnt="United States",Cnt={"@type":"DataCatalog","@id":"https://databento.com/datasets/MEMX.MEMOIR",name:"Databento - MEMX MEMOIR Depth",url:"https://databento.com/datasets/MEMX.MEMOIR",provider:{"@id":"https://databento.com/about#organization"},description:`MEMX MEMOIR Depth is a proprietary data feed that disseminates full order book depth from the Members Exchange (MEMX) Equities market. It delivers every quote and order at each price level, along with any event that updates the order book after an order is placed, such as trade executions, modifications, or cancellations. 
1326
1327MEMX launched as the 14th US equities exchange in 2020.  Founded by nine investment firms aiming to lower fees and simplify market structure, it operates without the tiered fee models or complex order priority behavior found on some legacy exchanges. MEMX's low cost and transparent pricing have made it popular with proprietary trading firms, market makers, and algorithmic traders. As of February 2025, MEMX accounted for approximately 2.15% of average daily volume (ADV) across all U.S. exchange-listed securities.
1328
1329With L3 granularity, MEMX MEMOIR Depth captures information beyond the L1, top-of-book data available through SIP feeds, including explicit trade aggressor side and odd lots. This enables users to accurately model order book imbalances, trade directionality, queue dynamics, and more. 
1330
1331Historical data is available for usage-based rates or with any Databento US Equities subscription. Explore [pricing](/catalog/us-equities#pricing) for more details or to upgrade your plan.`},_nt={"@id":"https://databento.com/about#organization"},Snt=[{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"dbn",fileFormat:"dbn",contentUrl:"{{ productUrl }}"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"csv",fileFormat:"csv",contentUrl:"{{ productUrl }}"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"json",fileFormat:"json",contentUrl:"{{ productUrl }}"}],Ent={"@context":"https://schema.org","@type":"Dataset","@id":"{{ productUrl }}",name:gnt,alternateName:vnt,url:ynt,description:bnt,conditionsOfAccess:xnt,spatialCoverage:wnt,includedInDataCatalog:Cnt,creator:_nt,distribution:Snt},Int="{{ productName }} index history ({{ displaySymbol }})",Ant="{{ displaySymbol }} real-time and historical MSCI index values",Tnt="{{ productUrl }}",knt=`Browse {{ productName }} ({{ displaySymbol }}) index data. Get instant pricing estimates and make batch downloads of binary, CSV, and JSON flat files.
1332
1333Cboe Global Indices MSCI carries MSCI's global, regional, and emerging-market benchmark series over the Cboe Global Indices Feed (CGIF). These benchmarks are widely used for international portfolio construction, performance attribution, and reporting.
1334
1335Asset class: Indices
1336
1337Supported data encodings: DBN, CSV, JSON ([Learn more](https://databento.com/docs/api-reference-historical/basics/encodings))
1338
1339Supported market data schemas: MBP-1, BBO-1s, BBO-1m, Trades, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Statistics, Status ([Learn more](https://databento.com/docs/schemas-and-data-formats))
1340
1341Resolution: Immediate publication, nanosecond-resolution timestamps`,Rnt="Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",Nnt="2026-01-04/..",Dnt="Worldwide",P

1341nt={"@type":"DataCatalog","@id":"https://databento.com/datasets/MSCI.CGIF",name:"Databento - Cboe Global Indices MSCI",url:"https://databento.com/datasets/MSCI.CGIF",provider:{"@id":"https://databento.com/about#organization"},description:"Cboe Global Indices MSCI provides live and historical values for MSCI's global, regional, and emerging-market benchmark index series."},Ont={"@id":"https://databento.com/about#organization"},Mnt=[{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"dbn",fileFormat:"dbn",contentUrl:"{{ productUrl }}"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"csv",fileFormat:"csv",contentUrl:"{{ productUrl }}"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"json",fileFormat:"json",contentUrl:"{{ productUrl }}"}],Lnt=[{"@type":"Dataset",name:"Cboe Global Indices Feed (CGIF)",description:"The Cboe Global Indices Feed (CGIF) disseminates index values, and the instrument definitions and statistics that accompany them, over Cboe Titanium. It carries Cboe's own benchmark, volatility, and strategy indices alongside third-party series licensed from MSCI, FTSE Russell, and Morningstar, plus cryptocurrency reference prices and intraday indicative values for ETFs.",publisher:{"@type":"Organization",name:"Cboe Global Markets",url:"https://www.cboe.com/indices/",sameAs:["https://en.wikipedia.org/wiki/Cboe_Global_Markets","https://www.wikidata.org/wiki/Q30635731"]},url:"https://www.cboe.com/data/global-indices-feed"}],jnt={"@context":"https://schema.org","@type":"Dataset","@id":"{{ productUrl }}",name:Int,alternateName:Ant,url:Tnt,description:knt,conditionsOfAccess:Rnt,temporalCoverage:Nnt,spatialCoverage:Dnt,includedInDataCatalog:Pnt,creator:Ont,distribution:Mnt,isBasedOn:Lnt},Fnt="{{ productName }} index history ({{ displaySymbol }})",Bnt="{{ displaySymbol }} real-time and historical Morningstar index values",Unt="{{ productUrl }}",$nt=`Browse {{ productName }} ({{ displaySymbol }}) index data. Get instant pricing estimates and make batch downloads of binary, CSV, and JSON flat files.
1342
1343Cboe Global Indices Morningstar carries Morningstar's index series over the Cboe Global Indices Feed (CGIF), spanning broad market, sector, and style-box benchmarks used across the fund and ETF benchmarking industry.
1344
1345Asset class: Indices
1346
1347Supported data encodings: DBN, CSV, JSON ([Learn more](https://databento.com/docs/api-reference-historical/basics/encodings))
1348
1349Supported market data schemas: MBP-1, BBO-1s, BBO-1m, Trades, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Statistics, Status ([Learn more](https://databento.com/docs/schemas-and-data-formats))
1350
1351Resolution: Immediate publication, nanosecond-resolution timestamps`,qnt="Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",Hnt="2026-01-04/..",znt="United States",Vnt={"@type":"DataCatalog","@id":"https://databento.com/datasets/MSTAR.CGIF",name:"Databento - Cboe Global Indices Morningstar",url:"https://databento.com/datasets/MSTAR.CGIF",provider:{"@id":"https://databento.com/about#organization"},description:"Cboe Global Indices Morningstar provides live and historical values for Morningstar's broad market, sector, and style-box index series."},Gnt={"@id":"https://databento.com/about#organization"},Wnt=[{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"dbn",fileFormat:"dbn",contentUrl:"{{ productUrl }}"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"csv",fileFormat:"csv",contentUrl:"{{ productUrl }}"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"json",fileFormat:"json",contentUrl:"{{ productUrl }}"}],Ynt=[{"@type":"Dataset",name:"Cboe Global Indices Feed (CGIF)",description:"The Cboe Global Indices Feed (CGIF) disseminates index values, and the instrument definitions and statistics that accompany them, over Cboe Titanium. It carries Cboe's own benchmark, volatility, and strategy indices alongside third-party series licensed from MSCI, FTSE Russell, and Morningstar, plus cryptocurrency reference prices and intraday indicative values for ETFs.",publisher:{"@type":"Organization",name:"Cboe Global Markets",url:"https://www.cboe.com/indices/",sameAs:["https://en.wikipedia.org/wiki/Cboe_Global_Markets","https://www.wikidata.org/wiki/Q30635731"]},url:"https://www.cboe.com/data/global-indices-feed"}],Xnt={"@context":"https://schema.org","@type":"Dataset","@id":"{{ productUrl }}",name:Fnt,alternateName:Bnt,url:Unt,description:$nt,conditionsOfAccess:qnt,temporalCoverage:Hnt,spatialCoverage:znt,includedInDataCatalog:Vnt,creator:Gnt,distribution:Wnt,isBasedOn:Ynt},Knt="ICE {{ productName }} ({{ displaySymbol }}) - Real-time and Historical Data",Znt="{{ displaySymbol }} {{ secTypeLower }} contracts - historical and real-time prices",Jnt="{{ productUrl }}",Qnt=`Browse {{ productName }} ({{ displaySymbol }}) market data. Get instant pricing estimates and make batch downloads of binary, CSV, and JSON flat files.
1352
1353ICE Endex iMpact is the primary data feed for ICE Endex, the leading energy exchange in continental Europe. It covers a diverse range of energy products, including European gas, emissions, and power markets, providing valuable data for energy firms, EU ETS compliance entities, and financial participants to effectively manage price risk. This dataset includes all listed spot contracts, outrights, spreads, options, and options combinations on ICE Endex.
1354
1355Asset class: Futures, Options
1356
1357Origin: Captured at Aurora DC3 with an FPGA-based network card and hardware timestamping. Synchronized to UTC with PTP
1358
1359Supported data encodings: DBN, CSV, JSON ([Learn more](https://databento.com/docs/api-reference-historical/basics/encodings))
1360
1361Supported market data schemas: MBO, MBP-1, MBP-10, TBBO, Trades, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Statistics ([Learn more](https://databento.com/docs/schemas-and-data-formats))
1362
1363Resolution: Immediate publication, nanosecond-resolution timestamps`,ert="Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",trt="2018-12-23/..",nrt="Europe",rrt={"@type":"DataCatalog","@id":"https://databento.com/datasets/NDEX.IMPACT",name:"Databento - ICE Endex iMpact",url:"https://databento.com/datasets/NDEX.IMPACT",provider:{"@id":"https://databento.com/about#organization"},description:"ICE Endex iMpact is the primary data feed for ICE Endex, the leading energy exchange in continental Europe. It covers a diverse range of energy products, including European gas, emissions, and power markets, providing valuable data for energy firms, EU ETS compliance entities, and financial participants to effectively manage price risk. This dataset includes all listed spot contracts, outrights, spreads, options, and options combinations on ICE Endex."},art={"@id":"https://databento.com/about#organization"},srt=[{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"dbn",fileFormat:"dbn",contentUrl:"{{ productUrl }}"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"csv",fileFormat:"csv",contentUrl:"{{ productUrl }}"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"json",fileFormat:"json",contentUrl:"{{ productUrl }}"}],irt=[{"@type":"Dataset",name:"ICE Endex iMpact",description:"ICE Endex iMpact is the primary data feed for ICE Endex, the leading energy exchange in continental Europe. It covers a diverse range of energy products, including European gas, emissions, and power markets, providing valuable data for energy firms, EU ETS compliance entities, and financial participants to effectively manage price risk. This dataset does not include interest rates and financial products at this time.",publisher:{"@type":"Organization",name:"ICE Endex",url:"https://www.ice.com/endex",sameAs:["https://www.wikidata.org/wiki/Q93356837","https://en.wikipedia.org/wiki/Intercontinental_Exchange"],description:'As the leading energy exchange in continental Europe, ICE Endex provides liquid European gas, emissions and power markets that enable energy firms, EU ETS compliance entities and financial participants to effectively manage price risk. ICE Endex offers direct market access and a regulated futures and options platform, as well as gas balancing markets in the Netherlands and the U.K. (OCM) ICE Endex also operates a Central Limited Order Book ("CLOB") and block trading facility for equity derivatives.'},url:"https://www.ice.com/products/Futures-Options",includedInDataCatalog:{"@type":"DataCatalog","@id":"https://databento.com#data-catalog",name:"Databento",url:"https://databento.com",provider:{"@id":"https://databento.com/about#organization"}}}],ort={"@context":"https://schema.org","@type":"Dataset","@id":"{{ productUrl }}",name:Knt,alternateName:Znt,url:Jnt,description:Qnt,conditionsOfAccess:ert,temporalCoverage:trt,spatialCoverage:nrt,includedInDataCatalog:rrt,creator:art,distribution:srt,isBasedOn:irt},lrt="{{ productName }} ({{ displaySymbol }}) {{ secTypeLower }} data - Blue Ocean ATS MEMOIR Depth",crt="{{ displaySymbol }} after-hours and post-market trading data",urt="{{ productUrl }}",drt=`Browse {{ productName }} ({{ displaySymbol }}) market data. Get instant pricing estimates and make batch downloads of binary, CSV, and JSON flat files.
1364
1365Blue Ocean ATS MEMOIR Depth is a proprietary data feed that provides full order book updates, including every quote and order at each price level, from the Blue Ocean ATS (BOATS). This dataset covers all securities available on BOATS, including US-listed equities traded outside regular market hours.
1366

1367Blue Ocean is a leading venue supporting 24-hour US equity trading, operating from 8:00 PM to 4:00 AM EST/EDT. Its session aligns with Asian markets and extends into the early European session, making it a key source of price discovery and liquidity for global market participants.
1368
1369Trading during this window plays a critical role in bridging time zone gaps and enabling continuous risk management when primary US exchanges are closed. It allows participants to respond to global news and macro events as they occur, rather than waiting for the next US session. Market conditions during this period often differ from regular US hours, with lower displayed depth and wider bid-ask spreads.
1370
1371This dataset expands Databento's coverage of off-exchange liquidity, adding full depth-of-book visibility from a dedicated overnight venue. With L3 granularity, Blue Ocean ATS MEMOIR Depth captures information beyond top-of-book data, including explicit trade aggressor side and odd lots. This enables accurate modeling of trade directionality, queue dynamics, and more.
1372
1373Real-time Blue Ocean ATS MEMOIR Depth data is included with a Plus or Unlimited subscription through our Databento US Equities service.
1374Historical data is available for usage-based rates or with any subscription. Visit our [pricing section](/catalog/us-equities#pricing) for more details or to upgrade your plan.
1375
1376Asset classes: Equities
1377
1378Origin: Directly captured at Equinix NY4 (Secaucus, NJ) with an FPGA-based network card and hardware timestamping. Synchronized to UTC with PTP.
1379
1380Supported data encodings: DBN, CSV, JSON ([Learn more](https://databento.com/docs/api-reference-historical/basics/encodings))
1381
1382Supported market data schemas: MBO, MBP-1, MBP-10, TBBO, Trades, BBO-1s, BBO-1m, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Status ([Learn more](https://databento.com/docs/schemas-and-data-formats))
1383
1384Resolution: Immediate publication, nanosecond-resolution timestamps`,frt="Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",prt="United States",hrt={"@type":"DataCatalog","@id":"https://databento.com/datasets/OCEA.MEMOIR",name:"Databento - Blue Ocean ATS MEMOIR Depth",url:"https://databento.com/datasets/OCEA.MEMOIR",provider:{"@id":"https://databento.com/about#organization"},description:`Blue Ocean ATS MEMOIR Depth is a proprietary data feed that provides full order book updates, including every quote and order at each price level, from the Blue Ocean ATS (BOATS). This dataset covers all securities available on BOATS, including US-listed equities traded outside regular market hours.
1385
1386Blue Ocean is a leading venue supporting 24-hour US equity trading, operating from 8:00 PM to 4:00 AM EST/EDT. Its session aligns with Asian markets and extends into the early European session, making it a key source of price discovery and liquidity for global market participants.
1387
1388Trading during this window plays a critical role in bridging time zone gaps and enabling continuous risk management when primary US exchanges are closed. It allows participants to respond to global news and macro events as they occur, rather than waiting for the next US session. Market conditions during this period often differ from regular US hours, with lower displayed depth and wider bid-ask spreads.
1389
1390This dataset expands Databento's coverage of off-exchange liquidity, adding full depth-of-book visibility from a dedicated overnight venue. With L3 granularity, Blue Ocean ATS MEMOIR Depth captures information beyond top-of-book data, including explicit trade aggressor side and odd lots. This enables accurate modeling of trade directionality, queue dynamics, and more.
1391
1392Real-time Blue Ocean ATS MEMOIR Depth data is included with a Plus or Unlimited subscription through our Databento US Equities service.
1393Historical data is available for usage-based rates or with any subscription. Visit our [pricing section](/catalog/us-equities#pricing) for more details or to upgrade your plan.`},mrt={"@id":"https://databento.com/about#organization"},grt=[{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"dbn",fileFormat:"dbn",contentUrl:"{{ productUrl }}"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"csv",fileFormat:"csv",contentUrl:"{{ productUrl }}"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"json",fileFormat:"json",contentUrl:"{{ productUrl }}"}],vrt={"@context":"https://schema.org","@type":"Dataset","@id":"{{ productUrl }}",name:lrt,alternateName:crt,url:urt,description:drt,conditionsOfAccess:frt,spatialCoverage:prt,includedInDataCatalog:hrt,creator:mrt,distribution:grt},yrt="{{ productName }} ({{ displaySymbol }}) historical options data - OPRA",brt="{{ displaySymbol }} option chain data",xrt="{{ productUrl }}

1393",wrt=`Browse {{ productName }} ({{ displaySymbol }}) market data. Get instant pricing estimates and make batch downloads of binary, CSV, and JSON flat files.
1394
1395  Consolidated last sale, exchange BBO and national BBO across all US equity options exchanges. Includes single name stock options (e.g. TSLA), options on ETFs (e.g. SPY, QQQ), index options (e.g. VIX), and some indices (e.g. SPIKE and VSPKE).
1396This dataset is based on the newer, binary OPRA feed after the migration to SIAC's OPRA Pillar SIP in 2021.
1397OPRA is notable for the size of its data and we recommend users to anticipate several TBs of data per day for the full dataset in its highest granularity (MBP-1).
1398
1399  
1400
1401  Origin: Options Price Reporting Authority
1402
1403  Supported data encodings:
1404  DBN, JSON, CSV [Learn more](https://databento.com/docs/api-reference-historical/basics/encodings)
1405
1406  Supported market data schemas:
1407  MBP-1, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, TBBO, Trades, Statistics, Definition [Learn more](https://databento.com/docs/schemas-and-data-formats)
1408
1409  Resolution:
1410  Immediate publication, nanosecond-resolution timestamps
1411  `,Crt="Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",_rt="2023-03-28/..",Srt="United States",Ert={"@type":"DataCatalog","@id":"https://databento.com/datasets/OPRA.PILLAR",name:"Databento - OPRA",url:"https://databento.com/datasets/OPRA.PILLAR",provider:{"@id":"https://databento.com/about#organization"},description:`Consolidated last sale, exchange BBO and national BBO across all US equity options exchanges. Includes single name stock options (e.g. TSLA), options on ETFs (e.g. SPY, QQQ), index options (e.g. VIX), and some indices (e.g. SPIKE and VSPKE).
1412This dataset is based on the newer, binary OPRA feed after the migration to SIAC's OPRA Pillar SIP in 2021.
1413OPRA is notable for the size of its data and we recommend users to anticipate several TBs of data per day for the full dataset in its highest granularity (MBP-1).`},Irt={"@id":"https://databento.com/about#organization"},Art=[{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"dbn",fileFormat:"dbn",contentUrl:"{{ productUrl }}"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"csv",fileFormat:"csv",contentUrl:"{{ productUrl }}"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"json",fileFormat:"json",contentUrl:"{{ productUrl }}"}],Trt=[{"@type":"Dataset",name:"OPRA",description:`Consolidated last sale, exchange BBO and national BBO across all US equity options exchanges. Includes single name stock options (e.g. TSLA), options on ETFs (e.g. SPY, QQQ), index options (e.g. VIX), and some indices (e.g. SPIKE and VSPKE).
1414This dataset is based on the newer, binary OPRA feed after the migration to SIAC's OPRA Pillar SIP in 2021.
1415OPRA is notable for the size of its data and we recommend users to anticipate several TBs of data per day for the full dataset in its highest granularity (MBP-1).`,publisher:{"@type":"Organization",name:"OPRA (Options Price Reporting Authority)",url:"https://www.opraplan.com",sameAs:["https://en.wikipedia.org/wiki/Options_Price_Reporting_Authority","https://www.wikidata.org/wiki/Q7099028"]},url:"https://www.opraplan.com",includedInDataCatalog:{"@type":"DataCatalog","@id":"https://databento.com#data-catalog",name:"Databento",url:"https://databento.com",provider:{"@id":"https://databento.com/about#organization"}}}],krt={"@context":"https://schema.org","@type":"Dataset","@id":"{{ productUrl }}",name:yrt,alternateName:brt,url:xrt,description:wrt,conditionsOfAccess:Crt,temporalCoverage:_rt,spatialCoverage:Srt,includedInDataCatalog:Ert,creator:Irt,distribution:Art,isBasedOn:Trt},Rrt="{{ productName }} ({{ displaySymbol }}) {{ secTypeLower }} data - NYSE American Integrated",Nrt="{{ displaySymbol }} mid-cap market data",Drt="{{ productUrl }}",Prt=`Browse {{ productName }} ({{ displaySymbol }}) market data. Get instant pricing estimates and make batch downloads of binary, CSV, and JSON flat files.
1416
1417NYSE American Integrated is a proprietary data feed that disseminates full order book depth from the NYSE American market (formerly AMEX, the American Stock Exchange). It delivers every quote and order at each price level, along with any event that updates the order book after an order is placed, such as trade executions, modifications, or cancellations.
1418
1419NYSE American specializes in listing growing companies and is the leading exchange for small-cap stocks, as well as offering mid-cap insights. As of January 2025, it represented approximately 0.23% of the average daily volume (ADV) across all US exchange-listed securities.
1420
1421With L3 granularity, NYSE American Integrated captures information beyond the L1, top-of-book data available through SIP feeds, such as trade aggressor side, odd lots, and imbalances. This enables users to accurately model quote lifetimes, queue composition, and the auction process.
1422
1423Historical data is available for usage-based rates or with any Databento US Equities subscription. Visit our [pricing page](/catalog/us-equities#pricing) for more details or to upgrade your plan.
1424
1425**Real-time NYSE American Order Imbalances**
1426
1427Real-time imbalance data is included with a [Plus or Unlimited plan](/catalog/us-equities#pricing). It offers valuable insights into NYSE American's opening and closing auctions by providing details like imbalance quantity, paired quantity, imbalance reference price, and book clearing price.
1428
1429While this data can also be licensed through the full NYSE American Integrated feed, it requires $7,500/month in exchange fees. The NYSE American Order Imbalances feed offers a more cost-effective license starting at $1,000/month. Real-time data is streamed using the same dataset ID: \`XASE.PILLAR\`.
1430
1431Asset classes: Equities
1432
1433Origin: Directly captured at Equinix NY4 (Secaucus, NJ) with an FPGA-based network card and hardware timestamping. Synchronized to UTC with PTP.
1434
1435Supported data encodings: DBN, CSV, JSON ([Learn more](https://databento.com/docs/api-reference-historical/basics/encodings))
1436
1437Supported market data schemas: MBO, MBP-1, MBP-10, TBBO, Trades, BBO-1s, BBO-1m, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Imbalance, Statistics, Status ([Learn more](https://databento.com/docs/schemas-and-data-formats))
1438
1439Resolution: Immediate publication, nanosecond-resolution timestamps`,Ort="Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",Mrt="United States",Lrt={"@type":"DataCatalog","@id":"https://databento.com/datasets/XASE.PILLAR",name:"Databento - NYSE American Integrated",url:"https://databento.com/datasets/XASE.PILLAR",provider:{"@id":"https://databento.com/about#organization"},description:`NYSE American Integrated is a proprietary data feed that disseminates full order book depth from the NYSE American market (formerly AMEX, the American Stock Exchange). It delivers every quote and order at each price level, along with any event that updates the order book after an order is placed, such as trade executions, modifications, or cancellations.
1440
1441NYSE American specializes in listing growing companies and is the leading exchange for small-cap stocks, as well as offering mid-cap insights. As of January 2025, it represented approximately 0.23% of the average daily volume (ADV) across all US exchange-listed securities.
1442
1443With L3 granularity, NYSE American Integrated captures information beyond the L1, top-of-book data available through SIP feeds, such as trade aggressor side, odd lots, and imbalances. This enables users to accurately model quote lifetimes, queue composition, and the auction process.
1444
1445Historical data is available for usage-based rates or with any Databento US Equities subscription. Visit our [pricing page](/catalog/us-equities#pricing) for more details or to upgrade your plan.
1446
1447**Real-time NYSE American Order Imbalances**
1448
1449Real-time imbalance data is included with a [Plus or Unlimited plan](/catalog/us-equities#pricing). It offers valuable insights into NYSE American's opening and closing auctions by providing details like imbalance quantity, paired quantity, imbalance reference price, and book clearing price.
1450
1451While this data can also be licensed through the full NYSE American Integrated feed, it requires $7,500/month in exchange fees. The NYSE American Order Imbalances feed offers a more cost-effective license starting at $1,000/month. Real-time data is streamed using the same dataset ID: \`XASE.PILLAR\`.`},jrt={"@id":"https://databento.com/about#organization"},Frt=[{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"dbn",fileFormat:"dbn",contentUrl:"{{ productUrl }}"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"csv",fileFormat:"csv",contentUrl:"{{ productUrl }}"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"json",fileFormat:"json",contentUrl:"{{ productUrl }}"}],Brt={"@context":"https://schema.org","@type":"Dataset","@id":"{{ productUrl }}",name:Rrt,alternateName:Nrt,url:Drt,description:Prt,conditionsOfAccess:Ort,spatialCoverage:Mrt,includedInDataCatalog:Lrt,creator:jrt,distribution:Frt},Urt="{{ productName }} ({{ displaySymbol }}) {{ secTypeLower }} data - Nasdaq Texas TotalView-ITCH",$rt="{{ displaySymbol }}

1451 Nasdaq Texas equities data and APIs",qrt="{{ productUrl }}",Hrt=`Browse {{ productName }} ({{ displaySymbol }}) market data. Get instant pricing estimates and make batch downloads of binary, CSV, and JSON flat files.
1452
1453Nasdaq Texas TotalView-ITCH is a proprietary data feed that provides full order book depth and last sale information. It displays every quote and order at each price level on the NTX market (formerly the Boston Stock Exchange) and captures all order book activity, including trade executions, order modifications, cancellations, and other events that update the book's state. This L3 granularity offers data not found in SIP feeds—such as explicit trade aggressor side and odd lots—and enable accurate modeling of quote lifetimes and queue dynamics.
1454
1455This dataset covers all securities traded or routed through the NTX exchange platform, including those listed on the Nasdaq, NYSE, NYSE American, NYSE Arca, and Cboe exchanges under Reg NMS. As of March 2026, the Nasdaq Texas exchange represented 0.27% of the average daily volume (ADV).
1456
1457Nasdaq Texas attracts retail-focused brokers and traders with its inverted pricing model, offering rebates for liquidity removers and its Retail Price Improvement (RPI) program. It disseminates the Retail Price Improvement Indicator (RPII) to signal the availability of RPI orders, which are designed to improve upon the NBBO and promote better pricing opportunities for retail investors.
1458
1459Historical data is available for usage-based rates or with any Databento US Equities subscription. Explore [pricing](/catalog/us-equities#pricing) for more details or to upgrade your plan.
1460
1461Asset classes: Equities
1462
1463Origin: Directly captured at Equinix NY4 (Secaucus, NJ) with an FPGA-based network card and hardware timestamping. Synchronized to UTC with PTP.
1464
1465Supported data encodings: DBN, CSV, JSON ([Learn more](https://databento.com/docs/api-reference-historical/basics/encodings))
1466
1467Supported market data schemas: MBO, MBP-1, MBP-10, TBBO, Trades, BBO-1s, BBO-1m, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Imbalance, Statistics, Status ([Learn more](https://databento.com/docs/schemas-and-data-formats))
1468
1469Resolution: Immediate publication, nanosecond-resolution timestamps`,zrt="Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",Vrt="United States",Grt={"@type":"DataCatalog","@id":"https://databento.com/datasets/XBOS.ITCH",name:"Databento - Nasdaq Texas TotalView-ITCH",url:"https://databento.com/datasets/XBOS.ITCH",provider:{"@id":"https://databento.com/about#organization"},description:`Nasdaq Texas TotalView-ITCH is a proprietary data feed that provides full order book depth and last sale information. It displays every quote and order at each price level on the NTX market (formerly the Boston Stock Exchange) and captures all order book activity, including trade executions, order modifications, cancellations, and other events that update the book's state. This L3 granularity offers data not found in SIP feeds—such as explicit trade aggressor side and odd lots—and enable accurate modeling of quote lifetimes and queue dynamics.
1470
1471This dataset covers all securities traded or routed through the NTX exchange platform, including those listed on the Nasdaq, NYSE, NYSE American, NYSE Arca, and Cboe exchanges under Reg NMS. As of March 2026, the Nasdaq Texas exchange represented 0.27% of the average daily volume (ADV).
1472
1473Nasdaq Texas attracts retail-focused brokers and traders with its inverted pricing model, offering rebates for liquidity removers and its Retail Price Improvement (RPI) program. It disseminates the Retail Price Improvement Indicator (RPII) to signal the availability of RPI orders, which are designed to improve upon the NBBO and promote better pricing opportunities for retail investors.
1474
1475Historical data is available for usage-based rates or with any Databento US Equities subscription. Explore [pricing](/catalog/us-equities#pricing) for more details or to upgrade your plan.`},Wrt={"@id":"https://databento.com/about#organization"},Yrt=[{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"dbn",fileFormat:"dbn",contentUrl:"{{ productUrl }}"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"csv",fileFormat:"csv",contentUrl:"{{ productUrl }}"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"json",fileFormat:"json",contentUrl:"{{ productUrl }}"}],Xrt={"@context":"https://schema.org","@type":"Dataset","@id":"{{ productUrl }}",name:Urt,alternateName:$rt,url:qrt,description:Hrt,conditionsOfAccess:zrt,spatialCoverage:Vrt,includedInDataCatalog:Grt,creator:Wrt,distribution:Yrt},Krt="{{ productName }} ({{ displaySymbol }}) - Real-time and Historical Data",Zrt="CFE {{ displaySymbol }} {{ secTypeLower }} contracts - historical and live prices",Jrt="{{ productUrl }}",Qrt=`Browse {{ productName }} ({{ displaySymbol }}) market data. Get instant pricing estimates and make batch downloads of binary, CSV, and JSON flat files.
1476

1477Cboe Future Exchange (CFE) Market Data and APIs
1478
1479Asset class: Futures, Options
1480
1481Origin: Directly captured at Equinix NY4 (Secaucus, NJ) with an FPGA-based network card and hardware timestamping. Synchronized to UTC with PTP.
1482
1483Supported data encodings: DBN, CSV, JSON ([Learn more](https://databento.com/docs/api-reference-historical/basics/encodings))
1484
1485Supported market data schemas: MBO, MBP-1, MBP-10, TBBO, Trades, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Statistics ([Learn more](https://databento.com/docs/schemas-and-data-formats))
1486
1487Resolution: Immediate publication, nanosecond-resolution timestamps`,eat="Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",tat="2018-10-29/..",nat="Worldwide",rat={"@type":"DataCatalog","@id":"https://databento.com/datasets/XCBF.PITCH",name:"Databento - Cboe Future Exchange (CFE) Market Data and APIs",url:"https://databento.com/datasets/XCBF.PITCH",provider:{"@id":"https://databento.com/about#organization"},description:"Cboe Futures Exchange (CFE) is home to innovative futures products based on volatility, credit, cryptocurrency, and equity indices. It includes Volatility Index (VIX) Futures. This dataset provides full order book depth across all products, including options on futures."},aat={"@id":"https://databento.com/about#organization"},sat=[{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"dbn",fileFormat:"dbn",contentUrl:"{{ productUrl }}"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"csv",fileFormat:"csv",contentUrl:"{{ productUrl }}"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"json",fileFormat:"json",contentUrl:"{{ productUrl }}"}],iat=[{"@type":"Dataset",name:"Cboe U.S. Futures Multicast PITCH",description:"Daily archive of Cboe Futures Exchange depth of book real-time feed with execution information.Includes CFE Top (Level 1) with BBO quotes, last sale information, and Strategy BBO information (spreads). Includes CFE Book Depth (Level 2) with full depth of the market.",publisher:{"@type":"Organization",name:"Cboe",url:"https://www.cboe.com/markets/us/futures/",sameAs:["https://en.wikipedia.org/wiki/Cboe_Global_Markets","https://www.wikidata.org/wiki/Q107190278"]},url:"https://datashop.cboe.com/cboe-us-futures-multicast-pitch",sameAs:"https://www.cboe.com/market_data_services/us/futures/"}],oat={"@context":"https://schema.org","@type":"Dataset","@id":"{{ productUrl }}",name:Krt,alternateName:Zrt,url:Jrt,description:Qrt,conditionsOfAccess:eat,temporalCoverage:tat,spatialCoverage:nat,includedInDataCatalog:rat,creator:aat,distribution:sat,isBasedOn:iat},lat="{{ productName }} ({{ displaySymbol }}) {{ secTypeLower }} data - NYSE Texas Integrated",cat="{{ displaySymbol }} full order book depth from NYSE Texas",uat="{{ productUrl }}",dat=`Browse {{ productName }} ({{ displaySymbol }}) market data. Get instant pricing estimates and make batch downloads of binary, CSV, and JSON flat files.
1488
1489NYSE Texas Integrated is a proprietary data feed that provides full order book updates, including every quote and order at each price level, on the NYSE Texas market (formerly the Chicago Stock Exchange).
1490
1491NYSE Texas is the leading venue for option-contingent stock trades. large transactions are frequently facilitated through NYSE Texas's institutional broker network and executed on the market, with about $5 billion of option-related trades transacted daily. The exchange operates as a fully electronic equities platform designed to serve the exchange-traded derivatives community and leverages NYSE Pillar for order entry and execution. As of January 2025, it represented approximately 0.28% of the average daily volume (ADV) across all exchange-listed US securities.
1492
1493Unlike other NYSE venues that offer L3 granularity, real-time NYSE Texas Integrated data is free to license for all use cases, including both internal and external display, non-display, and distribution. This makes the dataset ideal for applications that are cost-sensitive to exchange license fees. For personal use cases, Databento users can receive instant approval for live data. However, commercial users must get exchange approval directly from NYSE before accessing live data.
1494
1495NYSE Texas Integrated captures information beyond the L1, top-of-book data available through SIP feeds, enabling accurate modeling of book imbalance, quote lifetimes, and queue dynamics. This data includes explicit trade aggressor side and odd lots.
1496
1497Real-time NYSE Texas Integrated data is included with a Plus or Unlimited subscription through our Databento US Equities service. Historical data is available for usage-based rates or with any subscription. Explore [pricing](/catalog/us-equities#pricing) for more details or to upgrade your plan.
1498
1499Asset classes: Equities
1500
1501Origin: Directly captured at Equinix NY4 (Secaucus, NJ) with an FPGA-based network card and hardware timestamping. Synchronized to UTC with PTP.
1502
1503Supported data encodings: DBN, CSV, JSON ([Learn more](https://databento.com/docs/api-reference-historical/basics/encodings))
1504
1505Supported market data schemas: MBO, MBP-1, MBP-10, TBBO, Trades, BBO-1s, BBO-1m, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Imbalance, Statistics, Status ([Learn more](https://databento.com/docs/schemas-and-data-formats))
1506
1507Resolution: Immediate publication, nanosecond-resolution timestamps`,fat="Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",pat="United States",hat={"@type":"DataCatalog","@id":"https://databento.com/datasets/XCHI.PILLAR",name:"Databento - NYSE Texas Integrated",url:"https://databento.com/datasets/XCHI.PILLAR",provider:{"@id":"https://databento.com/about#organization"},description:`NYSE Texas Integrated is a proprietary data feed that provides full order book updates, including every quote and order at each price level, on the NYSE Texas market (formerly the Chicago Stock Exchange).
1508
1509NYSE Texas is the leading venue for option-contingent stock trades. large transactions are frequently facilitated through NYSE Texas's institutional broker network and executed on the market, with about $5 billion of option-related trades transacted daily. The exchange operates as a fully electronic equities platform designed to serve the exchange-traded derivatives community and leverages NYSE Pillar for order entry and execution. As of January 2025, it represented approximately 0.28% of the average daily volume (ADV) across all exch

1509ange-listed US securities.
1510
1511Unlike other NYSE venues that offer L3 granularity, real-time NYSE Texas Integrated data is free to license for all use cases, including both internal and external display, non-display, and distribution. This makes the dataset ideal for applications that are cost-sensitive to exchange license fees. For personal use cases, Databento users can receive instant approval for live data. However, commercial users must get exchange approval directly from NYSE before accessing live data.
1512
1513NYSE Texas Integrated captures information beyond the L1, top-of-book data available through SIP feeds, enabling accurate modeling of book imbalance, quote lifetimes, and queue dynamics. This data includes explicit trade aggressor side and odd lots.
1514
1515Real-time NYSE Texas Integrated data is included with a Plus or Unlimited subscription through our Databento US Equities service. Historical data is available for usage-based rates or with any subscription. Explore [pricing](/catalog/us-equities#pricing) for more details or to upgrade your plan.`},mat={"@id":"https://databento.com/about#organization"},gat=[{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"dbn",fileFormat:"dbn",contentUrl:"{{ productUrl }}"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"csv",fileFormat:"csv",contentUrl:"{{ productUrl }}"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"json",fileFormat:"json",contentUrl:"{{ productUrl }}"}],vat={"@context":"https://schema.org","@type":"Dataset","@id":"{{ productUrl }}",name:lat,alternateName:cat,url:uat,description:dat,conditionsOfAccess:fat,spatialCoverage:pat,includedInDataCatalog:hat,creator:mat,distribution:gat},yat="{{ productName }} ({{ displaySymbol }}) {{ secTypeLower }} data - NYSE National Trades and BBO",bat="{{ displaySymbol }} NYSE National trades and BBO",xat="{{ productUrl }}",wat=`Browse {{ productName }} ({{ displaySymbol }}) market data. Get instant pricing estimates and make batch downloads of binary, CSV, and JSON flat files.
1516
1517NYSE National data is sourced from the NYSE National Trades and BBO feeds, which provide top-of-book quotes and last sale (trades) data for all NYSE National-traded securities. NYSE National (XCIS)—formerly the National Stock Exchange—is a fully electronic exchange built on NYSE Pillar technology, offering an inverted (taker-maker) pricing structure and featuring some of the highest rebates for liquidity takers. As of January 2025, it represented approximately 0.26% of the average daily volume (ADV).
1518
1519NYSE National BBO and Trades data is free to license for all use cases, including both internal and external display, non-display, and distribution. This makes the dataset ideal for web apps, brokerages, systematic trading, and cloud-based environments. For personal use cases, Databento users can receive instant approval for live data. However, commercial users must get exchange approval directly from NYSE before accessing live data.
1520
1521Real-time NYSE National BBO and Trades data is included with a Plus or Unlimited subscription through our Databento US Equities service. Historical data is available for usage-based rates or with any subscription. Explore [pricing](/catalog/us-equities#pricing) for more details or to upgrade your plan.
1522
1523Asset classes: Equities
1524
1525Origin: Directly captured at Equinix NY4 (Secaucus, NJ) with an FPGA-based network card and hardware timestamping. Synchronized to UTC with PTP.
1526
1527Supported data encodings: DBN, CSV, JSON ([Learn more](https://databento.com/docs/api-reference-historical/basics/encodings))
1528
1529Supported market data schemas: MBP-1, TBBO, Trades, BBO-1s, BBO-1m, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Imbalance, Statistics, Status ([Learn more](https://databento.com/docs/schemas-and-data-formats))
1530
1531Resolution: Immediate publication, nanosecond-resolution timestamps`,Cat="Acce

1531ss to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",_at="United States",Sat={"@type":"DataCatalog","@id":"https://databento.com/datasets/XCIS.TRADESBBO",name:"Databento - NYSE National Trades and BBO",url:"https://databento.com/datasets/XCIS.TRADESBBO",provider:{"@id":"https://databento.com/about#organization"},description:`NYSE National data is sourced from the NYSE National Trades and BBO feeds, which provide top-of-book quotes and last sale (trades) data for all NYSE National-traded securities. NYSE National (XCIS)—formerly the National Stock Exchange—is a fully electronic exchange built on NYSE Pillar technology, offering an inverted (taker-maker) pricing structure and featuring some of the highest rebates for liquidity takers. As of January 2025, it represented approximately 0.26% of the average daily volume (ADV).
1532
1533NYSE National BBO and Trades data is free to license for all use cases, including both internal and external display, non-display, and distribution. This makes the dataset ideal for web apps, brokerages, systematic trading, and cloud-based environments. For personal use cases, Databento users can receive instant approval for live data. However, commercial users must get exchange approval directly from NYSE before accessing live data.
1534
1535Real-time NYSE National BBO and Trades data is included with a Plus or Unlimited subscription through our Databento US Equities service. Historical data is available for usage-based rates or with any subscription. Explore [pricing](/catalog/us-equities#pricing) for more details or to upgrade your plan.`},Eat={"@id":"https://databento.com/about#organization"},Iat=[{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"dbn",fileFormat:"dbn",contentUrl:"{{ productUrl }}"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"csv",fileFormat:"csv",contentUrl:"{{ productUrl }}"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"json",fileFormat:"json",contentUrl:"{{ productUrl }}"}],Aat={"@context":"https://schema.org","@type":"Dataset","@id":"{{ productUrl }}",name:yat,alternateName:bat,url:xat,description:wat,conditionsOfAccess:Cat,spatialCoverage:_at,includedInDataCatalog:Sat,creator:Eat,distribution:Iat},Tat="{{ productName }} ({{ displaySymbol }}) - Real-time and Historical Data",kat="{{ displaySymbol }} {{ secTypeLower }} contracts - historical and live prices",Rat="{{ productUrl }}",Nat=`Browse {{ productName }} ({{ displaySymbol }}) market data. Get instant pricing estimates and make batch downloads of binary, CSV, and JSON flat files.
1536
1537EEX (European Energy Exchange) is the most liquid market in Europe for power derivatives and a major venue for trading natural gas and emissions. It provides full order book depth across all products, including energy futures as well as freight and agricultural contracts.
1538
1539Asset class: Futures, Options
1540
1541Origin: Directly captured at Equinix FR2 (Frankfurt, Germany) with an FPGA-based network card and hardware timestamping. Synchronized to UTC with PTP
1542
1543Supported data encodings: DBN, CSV, JSON ([Learn more](https://databento.com/docs/api-reference-historical/basics/encodings))
1544
1545Supported market data schemas: MBO, MBP-1, MBP-10, TBBO, Trades, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Statistics ([Learn more](https://databento.com/docs/schemas-and-data-formats))
1546
1547Resolution: Immediate publication, nanosecond-resolution timestamps`,Dat="Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",Pat="2025-03-10/..",Oat="Worldwide",Mat={"@type":"DataCatalog","@id":"https://databento.com/datasets/XEEE.EOBI",name:"Databento - EEX Market Data and APIs",url:"https://databento.com/datasets/XEEE.EOBI",provider:{"@id":"https://databento.com/about#organization"},description:"Most liquid power market in Europe and a major venue for trading gas and emissions. Full order book coverage of energy, freight, and agricultural futures."},Lat={"@id":"https://databento.com/about#organization"},jat=[{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"dbn",fileFormat:"dbn",contentUrl:"{{ productUrl }}"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"csv",fileFormat:"csv",contentUrl:"{{ productUrl }}"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"json",fileFormat:"json",contentUrl:"{{ productUrl }}"}],Fat=[{"@type":"Dataset",name:"EEX Market Data",description:"Trade and order book data for power, natural gas, environmentals, agriculturals, and freight products traded on the European Energy Exchange.",publisher:{"@type":"Organization",name:"European Energy Exchange (EEX)",url:"https://www.eex.com",sameAs:["https://www.wikidata.org/wiki/Q876111","https://en.wikipedia.org/wiki/European_Energy_Exchange"],description:"European Energy Exchange (EEX) AG is a central European electric power and related commodities exchange located in Leipzig, Germany. It develops, operates and connects secure, liquid and transparent markets for energy and related products, including power derivative contracts, emission allowances, agricultural and freight products."},url:"https://www.eex.com/en/market-data/eex-group-datasource",includedInDataCatalog:{"@type":"DataCatalog","@id":"https://databento.com#data-catalog",name:"Databento",url:"https://databento.com",provider:{"@id":"https://databento.com/about#organization"}}}],Bat={"@context":"https://schema.org","@type":"Dataset","@id":"{{ productUrl }}",name:Tat,alternateName:kat,url:Rat,description:Nat,conditionsOfAccess:Dat,temporalCoverage:Pat,spatialCoverage:Oat,includedInDataCatalog:Mat,creator:Lat,distribution:jat,isBasedOn:Fat},Uat="Eurex {{ productName }} ({{ displaySymbol }}) - Real-time and Historical Data",$at="{{ displaySymbol }} {{ secTypeLower }} contracts - historical and live prices",qat="{{ productUrl }}",Hat=`Browse {{ productName }} ({{ displaySymbol }}) market data. Get instant pricing estimates and make batch downloads of binary, CSV, and JSON flat files.
1548
1549The largest derivatives exchange in Europe, with full order book coverage of equity index and fixed income products, as well as single stock options.
1550
1551Asset class: Futures, Options
1552
1553Origin: Captured at Equinix FR2 with an FPGA-based network card and hardware timestamping. Synchronized to UTC with PTP.
1554
1555Supported data encodings: DBN, CSV, JSON ([Learn more](https://databento.com/docs/api-reference-historical/basics/encodings))
1556
1557Supported market data schemas: MBO, MBP-1, MBP-10, TBBO, Trades, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Statistics ([Learn more](https://databento.com/docs/schemas-and-data-formats))
1558
1559Resolution: Immediate publication, nanosecond-resolution timestamps`,zat="Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",Vat="2025-03-10/..",Gat="Worldwide",Wat={"@type":"DataCatalog","@id":"https://databento.com/datasets/XEUR.EOBI",name:"Databento - Eurex Market Data and APIs",url:"https://databento.com/datasets/XEUR.EOBI",provider:{"@id":"https://databento.com/about#organization"},description:"The largest derivatives exchange in Europe, with full order book coverage of equity index and fixed income products, as well as single stock options."}

1559,Yat={"@id":"https://databento.com/about#organization"},Xat=[{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"dbn",fileFormat:"dbn",contentUrl:"{{ productUrl }}"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"csv",fileFormat:"csv",contentUrl:"{{ productUrl }}"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"json",fileFormat:"json",contentUrl:"{{ productUrl }}"}],Kat=[{"@type":"Dataset",name:"Eurex EOBI Enhanced Orderbook Interface",description:"Provides the entire trade data and order book information showing every visible order and quote for all Eurex products. It delivers information on each individual order and quote side, along with executions and state information in an un-netted manner. The data is obtained from Frankfurt Floor Enhanced Order Book Interface (EOBI).",publisher:{"@type":"Organization",name:"Eurex Exchange",url:"https://www.eurex.com",sameAs:["https://www.wikidata.org/wiki/Q702192","https://en.wikipedia.org/wiki/Eurex"],description:"Eurex Exchange is a German derivatives exchange which primarily offers trading in European based derivatives. The products traded on this exchange vary from German and Swiss debt instruments to European stocks and various stock indexes."},url:"https://a7-dataplatform.deutsche-boerse.com/product/details/MARKET_EUREX_EOBI",includedInDataCatalog:{"@type":"DataCatalog","@id":"https://databento.com#data-catalog",name:"Databento",url:"https://databento.com",provider:{"@id":"https://databento.com/about#organization"}}}],Zat={"@context":"https://schema.org","@type":"Dataset","@id":"{{ productUrl }}",name:Uat,alternateName:$at,url:qat,description:Hat,conditionsOfAccess:zat,temporalCoverage:Vat,spatialCoverage:Gat,includedInDataCatalog:Wat,creator:Yat,distribution:Xat,isBasedOn:Kat},Jat="{{ productName }} ({{ displaySymbol }}) {{ secTypeLower }} data - Nasdaq Basic with NLS Plus",Qat="{{ displaySymbol }} historical and real-time quotes, low-latency data API",est="{{ productUrl }}",tst=`Browse {{ productName }} ({{ displaySymbol }}) market data. Get instant pricing estimates and make batch downloads of binary, CSV, and JSON flat files.
1560
1561Nasdaq Basic with NLS Plus is our most cost-effective solution for real-time US equities, offering the broadest coverage and added granularity—such as trade aggressor side—for a fraction of the cost of consolidated feed alternatives like SIP data.
1562
1563This proprietary, consolidated data feed disseminates top-of-book (L1) data from every Nasdaq-operated venue and covers all US stocks and ETFs, including those listed on the NYSE, NYSE Arca, NYSE American, and Cboe exchanges. As the premium tier of Nasdaq's Basic product, it combines Nasdaq Last Sale (NLS) Plus and Nasdaq BBO (QBBO) to provide:
1564- Best bid and offer (BBO) quotes for the Nasdaq stock market (XNAS), which are within 1% of the NBBO 99.22% of the time.
1565- Tick-by-tick price and size for orders executed on Nasdaq (XNAS), Nasdaq Texas (XBOS), and Nasdaq PSX (XPSX).
1566- All off-exchange trades reported to FINRA/Nasdaq's Carteret and Chicago Trade Reporting Facilities (TRFs), which aggregate data from most of the 30 ATSs and account for approximately 45% to 49% of the average daily volume (ADV) in all exchange-listed securities.
1567
1568With the addition of TRF data, Nasdaq Basic with NLS Plus captures the majority of the trading activity and liquidity within US equity markets. As of January 2025, this dataset represented 62.9% ADV, including both on-exchange and off-exchange trades.
1569
1570This dataset is an ideal choice for market participants who need an accurate BBO but don't directly execute trades or display quotes for FINRA broker-dealer obligations. It also features substantially lower exchange license fees for real-time data compared to Nasdaq TotalView-ITCH, with pricing designed for distribution use cases and per-user rates that are reduced by more than 65%.
1571
1572Real-time Nasdaq Basic with NLS Plus data is included with a Plus or Unlimited subscription through our Databento US Equities service. Historical data is available for usage-based rates or with any subscription. Explore [pricing](/catalog/us-equities#pricing) for more details or to upgrade your plan.
1573
1574Asset classes: Equities
1575
1576Origin: Directly captured at Equinix NY4 (Secaucus, NJ) with an FPGA-based network card and hardware timestamping. Synchronized to UTC with PTP.
1577
1578Supported data encodings: DBN, CSV, JSON ([Learn more](https://databento.com/docs/api-reference-historical/basics/encodings))
1579
1580Supported market data schemas: CMBP-1, TCBBO, Trades, CBBO-1s, CBBO-1m, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Statistics, Status ([Learn more](https://databento.com/docs/schemas-and-data-formats))
1581
1582Resolution: Immediate publication, nanosecond-resolution timestamps`,nst="Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",rst="United States",ast={"@type":"DataCatalog","@id":"https://databento.com/datasets/XNAS.BASIC",name:"Databento - Nasdaq Basic with NLS Plus",url:"https://databento.com/datasets/XNAS.BASIC",provider:{"@id":"https://databento.com/about#organization"},description:`Nasdaq Basic with NLS Plus is our most cost-effective solution for real-time US equities, offering the broadest coverage and added granularity—such as trade aggressor side—for a fraction of the cost of consolidated feed alternatives like SIP data.
1583
1584This proprietary, consolidated data feed disseminates top-of-book (L1) data from every Nasdaq-operated venue and covers all US stocks and ETFs, including those listed on the NYSE, NYSE Arca, NYSE American, and Cboe exchanges. As the premium tier of Nasdaq's Basic product, it combines Nasdaq Last Sale (NLS) Plus and Nasdaq BBO (QBBO) to provide:
1585- Best bid and offer (BBO) quotes for the Nasdaq stock market (XNAS), which are within 1% of the NBBO 99.22% of the time.
1586- Tick-by-tick price and size for orders executed on Nasdaq (XNAS), Nasdaq Texas (XBOS), and Nasdaq PSX (XPSX).
1587- All off-exchange trades reported to FINRA/Nasdaq's Carteret and Chicago Trade Reporting Facilities (TRFs), which aggregate data from most of the 30 ATSs and account for approximately 45% to 49% of the average daily volume (ADV) in all exch

1587ange-listed securities.
1588
1589With the addition of TRF data, Nasdaq Basic with NLS Plus captures the majority of the trading activity and liquidity within US equity markets. As of January 2025, this dataset represented 62.9% ADV, including both on-exchange and off-exchange trades.
1590
1591This dataset is an ideal choice for market participants who need an accurate BBO but don't directly execute trades or display quotes for FINRA broker-dealer obligations. It also features substantially lower exchange license fees for real-time data compared to Nasdaq TotalView-ITCH, with pricing designed for distribution use cases and per-user rates that are reduced by more than 65%.
1592
1593Real-time Nasdaq Basic with NLS Plus data is included with a Plus or Unlimited subscription through our Databento US Equities service. Historical data is available for usage-based rates or with any subscription. Explore [pricing](/catalog/us-equities#pricing) for more details or to upgrade your plan.`},sst={"@id":"https://databento.com/about#organization"},ist=[{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"dbn",fileFormat:"dbn",contentUrl:"{{ productUrl }}"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"csv",fileFormat:"csv",contentUrl:"{{ productUrl }}"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"json",fileFormat:"json",contentUrl:"{{ productUrl }}"}],ost={"@context":"https://schema.org","@type":"Dataset","@id":"{{ productUrl }}",name:Jat,alternateName:Qat,url:est,description:tst,conditionsOfAccess:nst,spatialCoverage:rst,includedInDataCatalog:ast,creator:sst,distribution:ist},lst="{{ productName }} {{ secTypeLower }} price history ({{ displaySymbol }})",cst="{{ displaySymbol }} real-time and historical stock and ETF data",ust="{{ productUrl }}",dst=`Browse {{ productName }} ({{ displaySymbol }}) stock data. Get instant pricing estimates and make batch downloads of binary, CSV, and JSON flat files.
1594
1595  Nasdaq TotalView-ITCH is the proprietary data feed that provides full order book depth for Nasdaq market participants.
1596
1597  Origin: Directly captured at Equinix NY4 (Secaucus, NJ) with an FPGA-based network card and hardware timestamping. Synchronized to UTC with PTP.
1598
1599  Supported data encodings:
1600  DBN, CSV, JSON [Learn more](https://databento.com/docs/api-reference-historical/basics/encodings)
1601
1602  Supported market data schemas:
1603 MBO, MBP-1, MBP-10, BBO-1s, BBO-1m, TBBO, Trades, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Statistics, Status, Imbalance [Learn more](https://databento.com/docs/schemas-and-data-formats)
1604
1605  Resolution:
1606  Immediate publication, nanosecond-resolution timestamps
1607`,fst="Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",pst="2018-05-01/..",hst="United States",mst={"@type":"DataCatalog","@id":"https://databento.com/datasets/XNAS.ITCH",name:"Databento - Nasdaq TotalView-ITCH",url:"https://databento.com/datasets/XNAS.ITCH",provider:{"@id":"https://databento.com/about#organization"},description:`Nasdaq TotalView-ITCH is a proprietary data feed that disseminates full order book depth and last sale data from the Nasdaq stock market (XNAS). It delivers every quote and order at each price level, along with any event that updates the order book after an order is placed, such as trade executions, modifications, or cancellations. Nasdaq is the most active US equity exchange by volume and represented 13.03% of the average daily volume (ADV) as of January 2025.
1608
1609With its L3 granularity, Nasdaq TotalView-ITCH captures information beyond the L1, top-of-book data available through SIP feeds and enables more accurate modeling of book imbalances, trade directionality, quote lifetimes, and more. This includes explicit trade aggressor side, odd lots, auction imbalance data, and the Net Order Imbalance Indicator (NOII) for the Nasdaq Opening and Closing Crosses and Nasdaq IPO/Halt Cross—the best predictor of Nasdaq opening and closing prices available. Other key advantages of Nasdaq TotalView-ITCH over SIP data include faster real-time dissemination and precise exchange-side timestamping directly from Nasdaq.
1610
1611Real-time Nasdaq TotalView-ITCH data is included with a Plus or Unlimited subscription through our Databento US Equities service. Historical data is available for usage-based rates or with any subscription. Visit our [pricing page](https://databento.com/pricing) for more details or to upgrade your plan.`},gst={"@id":"https://databento.com/about#organization"},vst=[{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"dbn",fileFormat:"dbn",contentUrl:"{{ productUrl }}"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"csv",fileFormat:"csv",contentUrl:"{{ productUrl }}"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"json",fileFormat:"json",contentUrl:"{{ productUrl }}"}],yst=[{"@type":"Dataset",name:"Nasdaq TotalView-ITCH",description:`Nasdaq TotalView-ITCH is the proprietary data feed that provides full order book depth for Nasdaq market participants.
1612This proprietary feed provides additional information about activity on the Nasdaq market that is not present on data sourced from the SIPs. Nasdaq TotalView-ITCH provides information about every order on the book, allowing you to model quote lifetimes, queue dynamics and depth at every price level - all of which are not possible with the SIPs. Moreover, Nasdaq TotalView-ITCH data generally disseminates faster in real-time, and provides more accurate and precise exchange-side timestamping.
1613TotalView-ITCH also disseminates the Net Order Imbalance Indicator (NOII) for the Nasdaq Opening and Closing Crosses and Nasdaq IPO/Halt Cross.
1614Databento captures and normalizes the Nasdaq TotalView-ITCH feed losslessly, and combines it with other US equities proprietary feeds to consolidate a faster, more granular, synthetic NBBO than the SIPs. This dataset and feed is not adjusted for corporate actions and delistings, allowing the user to perform simulation and backtests without look-ahead bias. In addition, we also aggregate top of book (TBBO) and bar aggregate (OHLCV) data from the original data.`,publisher:{"@type":"Organization",name:"National Association of Securities Dealers Automated Quotations (NASDAQ)",url:"https://www.nasdaq.com",sameAs:["https://wikipedia.org/wiki/Nasdaq","https://www.wikidata.org/wiki/Q82059"]},url:"https://www.nasdaq.com/solutions/nasdaq-totalview",sameAs:["https://www.wikidata.org/wiki/Q28009389","http://www.nasdaqtrader.com/Trader.aspx?id=Totalview2"],includedInDataCatalog:{"@type":"DataCatalog","@id":"https://databento.com#data-catalog",name:"Databento",url:"https://databento.com",provider:{"@id":"https://databento.com/about#organization"}}}],bst={"@context":"https://schema.org","@type":"Dataset","@id":"{{ productUrl }}",name:lst,alternateName:cst,url:ust,description:dst,conditionsOfAccess:fst,temporalCoverage:pst,spatialCoverage:hst,includedInDataCatalog:mst,creator:gst,distribution:vst,isBasedOn:yst},xst="{{ productName }} ({{ displaySymbol }}) {{ secTypeLower }} data - NYSE Integrated",wst="{{ displaySymbol }}

1614 NYSE trade and quote data (TAQ data)",Cst="{{ productUrl }}",_st=`Browse {{ productName }} ({{ displaySymbol }}) market data. Get instant pricing estimates and make batch downloads of binary, CSV, and JSON flat files.
1615
1616NYSE Integrated is a proprietary data feed that disseminates full order book depth from the New York Stock Exchange (XNYS). It delivers every quote and order at each price level, along with any event that updates the order book after an order is placed, such as trade executions, modifications, or cancellations.
1617
1618The NYSE is the primary listing venue for many blue-chip and large-cap stocks. Powered by its Pillar platform, it operates a hybrid market that combines electronic trading with floor-based auctions and is especially active at the US equity market open and close. As of January 2025, the NYSE represented approximately 6.31% of average daily volume (ADV) across all exchange-listed US securities.
1619
1620It's also the only exchange with Designated Market Maker (DMM) privileges, which allow floor brokers to submit Discretionary Orders (D-Quotes). Most D-Quotes are entered after 3:50 PM for the Closing Auction, where floor interest accounts for over 40% of total volume.
1621
1622With L3 granularity, NYSE Integrated captures information beyond the L1, top-of-book data available through SIP feeds, such as trade aggressor side, odd lots, and imbalances. This data enables users to accurately model quote lifetimes, queue composition, and the auction process.
1623
1624Historical data is available for usage-based rates or with any Databento US Equities subscription. Visit our [pricing page](/catalog/us-equities#pricing) for more details or to upgrade your plan.
1625
1626**Real-time NYSE Order Imbalances**
1627
1628Real-time imbalance data is included with a [Plus or Unlimited plan](/catalog/us-equities#pricing). It offers valuable insights into the NYSE's opening and closing auctions by providing details like imbalance quantity, paired quantity, imbalance reference price, and book clearing price.
1629
1630While this data can also be licensed through the full NYSE Integrated feed, it requires over $3

16300,000/month in exchange fees. The NYSE Order Imbalances feed offers a more cost-effective license starting at $2,500/month. Real-time data is streamed using the same dataset ID: \`XNYS.PILLAR\`
1631
1632Asset classes: Equities
1633
1634Origin: Directly captured at Equinix NY4 (Secaucus, NJ) with an FPGA-based network card and hardware timestamping. Synchronized to UTC with PTP.
1635
1636Supported data encodings: DBN, CSV, JSON ([Learn more](https://databento.com/docs/api-reference-historical/basics/encodings))
1637
1638Supported market data schemas: MBO, MBP-1, MBP-10, TBBO, Trades, BBO-1s, BBO-1m, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Imbalance, Statistics, Status ([Learn more](https://databento.com/docs/schemas-and-data-formats))
1639
1640Resolution: Immediate publication, nanosecond-resolution timestamps`,Sst="Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",Est="United States",Ist={"@type":"DataCatalog","@id":"https://databento.com/datasets/XNYS.PILLAR",name:"Databento - NYSE Integrated",url:"https://databento.com/datasets/XNYS.PILLAR",provider:{"@id":"https://databento.com/about#organization"},description:`NYSE Integrated is a proprietary data feed that disseminates full order book depth from the New York Stock Exchange (XNYS). It delivers every quote and order at each price level, along with any event that updates the order book after an order is placed, such as trade executions, modifications, or cancellations.
1641
1642The NYSE is the primary listing venue for many blue-chip and large-cap stocks. Powered by its Pillar platform, it operates a hybrid market that combines electronic trading with floor-based auctions and is especially active at the US equity market open and close. As of January 2025, the NYSE represented approximately 6.31% of average daily volume (ADV) across all exchange-listed US securities.
1643
1644It's also the only exchange with Designated Market Maker (DMM) privileges, which allow floor brokers to submit Discretionary Orders (D-Quotes). Most D-Quotes are entered after 3:50 PM for the Closing Auction, where floor interest accounts for over 40% of total volume.
1645
1646With L3 granularity, NYSE Integrated captures information beyond the L1, top-of-book data available through SIP feeds, such as trade aggressor side, odd lots, and imbalances. This data enables users to accurately model quote lifetimes, queue composition, and the auction process.
1647
1648Historical data is available for usage-based rates or with any Databento US Equities subscription. Visit our [pricing page](/catalog/us-equities#pricing) for more details or to upgrade your plan.
1649
1650**Real-time NYSE Order Imbalances**
1651
1652Real-time imbalance data is included with a [Plus or Unlimited plan](/catalog/us-equities#pricing). It offers valuable insights into the NYSE's opening and closing auctions by providing details like imbalance quantity, paired quantity, imbalance reference price, and book clearing price.
1653
1654While this data can also be licensed through the full NYSE Integrated feed, it requires over $3

16540,000/month in exchange fees. The NYSE Order Imbalances feed offers a more cost-effective license starting at $2,500/month. Real-time data is streamed using the same dataset ID: \`XNYS.PILLAR\``},Ast={"@id":"https://databento.com/about#organization"},Tst=[{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"dbn",fileFormat:"dbn",contentUrl:"{{ productUrl }}"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"csv",fileFormat:"csv",contentUrl:"{{ productUrl }}"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"json",fileFormat:"json",contentUrl:"{{ productUrl }}"}],kst={"@context":"https://schema.org","@type":"Dataset","@id":"{{ productUrl }}",name:xst,alternateName:wst,url:Cst,description:_st,conditionsOfAccess:Sst,spatialCoverage:Est,includedInDataCatalog:Ist,creator:Ast,distribution:Tst},Rst="{{ productName }} ({{ displaySymbol }}) {{ secTypeLower }} data - Nasdaq PSX TotalView-ITCH",Nst="{{ displaySymbol }} full order book depth from Nasdaq PSX",Dst="{{ productUrl }}",Pst=`Browse {{ productName }} ({{ displaySymbol }}) market data. Get instant pricing estimates and make batch downloads of binary, CSV, and JSON flat files.
1655
1656Nasdaq PSX TotalView-ITCH is a proprietary data feed that captures full order book depth and last sale information, including every quote and order at each price level, on the PSX market (formerly the Philadelphia Stock Exchange). It disseminates all order book activity, including trade executions, order modifications, cancellations, and other events that update the book's state. This L3 granularity offers data not found in SIP feeds—such as explicit trade aggressor side and odd lots—and enable accurate modeling of quote lifetimes and queue dynamics.
1657
1658This dataset covers all securities traded or routed through the PSX execution system, including those listed on the Nasdaq, NYSE, NYSE American, NYSE Arca, and Cboe exchanges under Reg NMS. As of January 2025, the Nasdaq PSX exchange represented 0.13% of the average daily volume (ADV).
1659
1660Nasdaq PSX incentivizes liquidity providers through its Price Setter Pro Rata model, which prioritizes larger displayed sizes, and its Qualified Market Maker Program, which rewards market makers for actively quoting at the NBBO. These mechanisms work together to drive price competition and support both passive trading and market-making strategies.
1661
1662Historical data is available for usage-based rates or with any Databento US Equities subscription. Explore [pricing](/catalog/us-equities#pricing) for more details or to upgrade your plan.
1663
1664Asset classes: Equities
1665
1666Origin: Directly captured at Equinix NY4 (Secaucus, NJ) with an FPGA-based network card and hardware timestamping. Synchronized to UTC with PTP.
1667
1668Supported data encodings: DBN, CSV, JSON ([Learn more](https://databento.com/docs/api-reference-historical/basics/encodings))
1669
1670Supported market data schemas: MBO, MBP-1, MBP-10, TBBO, Trades, BBO-1s, BBO-1m, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Imbalance, Statistics, Status ([Learn more](https://databento.com/docs/schemas-and-data-formats))
1671
1672Resolution: Immediate publication, nanosecond-resolution timestamps`,Ost="Access to this dataset can be obtained by signing up with Databento (https://databento.com/signup).",Mst="United States",Lst={"@type":"DataCatalog","@id":"https://databento.com/datasets/XPSX.ITCH",name:"Databento - Nasdaq PSX TotalView-ITCH",url:"https://databento.com/datasets/XPSX.ITCH",provider:{"@id":"https://databento.com/about#organization"},description:`Nasdaq PSX TotalView-ITCH is a proprietary data feed that captures full order book depth and last sale information, including every quote and order at each price level, on the PSX market (formerly the Philadelphia Stock Exchange). It disseminates all order book activity, including trade executions, order modifications, cancellations, and other events that update the book's state. This L3 granularity offers data not found in SIP feeds—such as explicit trade aggressor side and odd lots—and enable accurate modeling of quote lifetimes and queue dynamics.
1673
1674This dataset covers all securities traded or routed through the PSX execution system, including those listed on the Nasdaq, NYSE, NYSE American, NYSE Arca, and Cboe exchanges under Reg NMS. As of January 2025, the Nasdaq PSX exchange represented 0.13% of the average daily volume (ADV).
1675
1676Nasdaq PSX incentivizes liquidity providers through its Price Setter Pro Rata model, which prioritizes larger displayed sizes, and its Qualified Market Maker Program, which rewards market makers for actively quoting at the NBBO. These mechanisms work together to drive price competition and support both passive trading and market-making strategies.
1677
1678Historical data is available for usage-based rates or with any Databento US Equities subscription. Explore [pricing](/catalog/us-equities#pricing) for more details or to upgrade your plan.`}

1678,jst={"@id":"https://databento.com/about#organization"},Fst=[{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"dbn",fileFormat:"dbn",contentUrl:"{{ productUrl }}"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"csv",fileFormat:"csv",contentUrl:"{{ productUrl }}"},{"@type":"DataDownload",requiresSubscription:!1,encodingFormat:"json",fileFormat:"json",contentUrl:"{{ productUrl }}"}],Bst={"@context":"https://schema.org","@type":"Dataset","@id":"{{ productUrl }}",name:Rst,alternateName:Nst,url:Dst,description:Pst,conditionsOfAccess:Ost,spatialCoverage:Mst,includedInDataCatalog:Lst,creator:jst,distribution:Fst},Ust={Equities:"stocks",ETF:"etf"},$st=(t,e,n)=>{if(t!=="XNAS.ITCH")return;const r=e&&Ust[e];if(!r)return;const a=encodeURIComponent(n.toLowerCase());return`https://www.nasdaq.com/market-activity/${r}/${a}`};class DV extends C0{static _DATASETS_BASE_URL="https://databento.com/catalog";static _PRODUCT_DATASET_DATA_ATTRIBUTE_ID="product-dataset-schema-markup";static _PRODUCT_DATASET_SCHEMA_MARKUP_MAPPING={"MAIN.CGIF":mnt,"CGI.CGIF":DQe,"MSCI.CGIF":jnt,"FTSE.CGIF":qet,"MSTAR.CGIF":Xnt,"CCCY.CGIF":xQe,"INAV.CGIF":rnt,"GLBX.MDP3":Qet,"IEXG.TOPS":ctt,"IFEU.IMPACT":wtt,"IFLL.IMPACT":Ptt,"IFUS.IMPACT":Vtt,"NDEX.IMPACT":ort,"OPRA.PILLAR":krt,"XCBF.PITCH":oat,"XEEE.EOBI":Bat,"XEUR.EOBI":Zat,"XNAS.ITCH":bst,"ARCX.PILLAR":qJe,"BATS.PITCH":JJe,"BATY.PITCH":lQe,"EDGA.PITCH":qQe,"EDGX.PITCH":JQe,"EPRL.DOM":cet,"EQUS.MINI":bet,"EQUS.SUMMARY":Ret,"MEMX.MEMOIR":Ent,"OCEA.MEMOIR":vrt,"XASE.PILLAR":Brt,"XBOS.ITCH":Xrt,"XCHI.PILLAR":vat,"XCIS.TRADESBBO":Aat,"XNAS.BASIC":ost,"XNYS.PILLAR":kst,"XPSX.ITCH":Bst};static setSchemaMarkup(e,n){const r=this._getSchemaMarkupForProduct(e);if(r){const a=this._replaceTemplate(this._withGeneratedFields(r,e,n),e,n);C0._setSchemaMarkup(a,this._PRODUCT_DATASET_DATA_ATTRIBUTE_ID)}}static removeSchemaMarkup(){C0._removeSchemaMarkup(this._PRODUCT_DATASET_DATA_ATTRIBUTE_ID)}static _withGeneratedFields(e,n,r){const a=this._buildAbout(n,r);return{...e,...kre(n),...a?{about:a}:{}}}static _buildAbout(e,n){const r=NJe(e);if(r.length!==1||r[0]!=="Equities")return;const{assetClass:a,displaySymbol:s,instrumentName:o}=n;if(!o||!s)return;const l=$st(e,a,s),c=l?{sameAs:l}:{};if(a==="Equities")return{"@type":"Corporation",name:o,tickerSymbol:s,...c};if(a==="ETF")return{"@type":"InvestmentFund",name:o,identifier:{"@type":"PropertyValue",propertyID:"tickerSymbol",value:s},...c}}static _getSchemaMarkupForProduct(e){const n=this._PRODUCT_DATASET_SCHEMA_MARKUP_MAPPING[e];return n||console.warn(`databento-seo: JSON schema markup (product) file is not found for ${e}`),n}static _replaceTemplate(e,n,r){const{serviceId:a,assetClass:s,instrumentName:o,displaySymbol:l}=r,c=DJe.joinURLParts(this._DATASETS_BASE_URL,a,n,s||"",l||""),d=E=>E.replace(/\\/g,"\\\\").replace(/"/g,'\\"').replace(/\n/g,"\\n").replace(/\r/g,"\\r").replace(/\t/g,"\\t").replace(/\f/g,"\\f").replace(/\x08/g,"\\b"),f=s&&Are[s],p=f?.title||"",g=f?.lower||"",y={"{{ productUrl }}":d(QM(c)),"{{ productName }}":d(o),"{{ displaySymbol }}":d(l||""),"{{ secTypeLower }} ":g?`${g} `:"","{{ secTypeLower }}":g,"{{ secType }} ":p?`${p} `:"","{{ secType }}":p},x=new RegExp(Object.keys(y).join("|"),"g"),b=JSON.stringify(e)?.replace(x,E=>y[E]),_=b?.match(/{{\s.+?\s}}/g);return _&&console.warn(`databento-seo: Missing replacement values in JSON schema markup (product) template for ${n}: ${_}`),b}}const qst=t=>{if(t)return t==="etf"?t.toUpperCase():t.toLowerCase()==="stocks"?"Equities":t.charAt(0).toUpperCase()+t.slice(1)},ybt=(t,e)=>{if(t)return e?e==="opra"&&t==="Options"?"Equity options":(e==="cme"||e==="ifeu"||e==="ifll"||e==="xeee"||e==="xeur"||e==="ndex"||e==="ifus"||e==="xcbf")&&t==="Options"?"Options on futures":t:t},Hst=(t,e)=>{if(t)return e?e==="OPRA.PILLAR"&&t==="Options"?"Equity options":t==="Options"?"Options on futures":t:t},Nre=70,bbt=45,xbt=15,wbt=30,Vb="Databento",Dre="Databento provides real-time and historical market data APIs. Access data for equities, futures, options, and more with one integration. Sign up for $125 in free credits.",Gb={[lo]:"Market data APIs and solutions for every firm",[Fc]:"Login",[Gv]:"Reset password",[sP]:"Reset password auth",[TY]:"Create new password",[kY]:"Confirm email",[Ci]:"Sign up",[RY]:"Sign up",[Wv]:"Invitation",[NY]:"Contact",[Sh]:"Confirm email",[iP]:"Confirm email",[Eh]:"Contact",[wf]:"Payment",[DY]:"Payment",[PY]:"Invite invalid",[oP]:"About us",[lP]:"Careers",[cP]:"Contact us",[MC]:"Batch download",[vl]:"Pricing",[Hf]:"Data catalog",[uP]:"Data usage",[dP]:"API keys",[fP]:"Download center",[MY]:"Team",[LY]:"Billing",[Of]:"Live data",[LC

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1684
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1686Exhibit A to Schedule 4`},2:{title:"Documents to complete",subTitle:"CME Information License Agreement"}}},{id:2,headerTitle:"Activate live data",headerSubTitle:"About 1 minute left",showIf:[{step:1,form:1,option:"2",value:!0,tab:"1"}],title:"Upload!",completed:!1,needsUpload:!0,required:!0,simpleLayout:!0,noGoingBack:!0,documentsProvided:["CME Information License Agreement (ILA)"],tabs:{1:{label:"Upload existing license",targetStep:1},2:{label:"Get a new license",targetStep:2}}},{...cs,noGoingBack:!0,documentsProvided:["CME Information License Agreement (ILA)"]},{...us,noGoingBack:!0,documentsProvided:["CME Information License Agreement (ILA)"]},{id:4,headerTitle:"Activate live data",simpleLayout:!0,newLicenseAgreementDone:!0,completed:!1,forms:[],required:!0,showIf:[{step:1,form:1,option:"2",value:!0}]},{id:12999,completed:!1,headerTitle:"Activate live data",headerSubTitle:"About 2 minutes left",forms:[{id:2,title:"How many devices will you access the data on?",prompt:`Your fees are higher if you access the data on more [devices](${jV}).                 Professional users are billed higher for [non-display devices](${Jp}).                 Non-professional users are billed the same for each non-display or [dis

1686play device](${Jp}).
1687
1688Please be accurate, as we’re required to report this info to CME each month.`,options:{1:{label:"Display",value:!0,multiselect:!0,inputNumber:null,inputType:"number",max:1e4,licenseData:"displayDevices",placeholder:"0"},2:{label:"Non-display",value:!0,multiselect:!0,inputNumber:null,inputType:"number",max:1e4,licenseData:"nonDisplayDevices",placeholder:"0"}},required:!0},{id:3,title:"Specify your effective start date.",prompt:"Most users prefer to start immediately. However, your fees will not be prorated if you start live access in the middle of the month since Databento reports on a monthly frequency.",options:{1:{label:"Immediately",value:!1,licenseData:"startDate"},2:{label:"Start of next calendar month",value:!1,licenseData:"startDate"}},required:!0}],required:!0}]},"OPRA.PILLAR":{fullId:"OPRA.PILLAR",id:"OPRA",name:"PILLAR",short_name:"OPRA",long_name:"OPRA Pillar",dataset_id:"OPRA.PILLAR",assetClasses:"Options",useCase:"Personal use · Commercial use",approval:"Instant approval available",pricing:"Starting at $1.25/mo",billed_on:["pricePerSub","status"],uploadFileNames:"license agreement(s)",active:!1,forms:[],billing_terms:ua["OPRA.PILLAR"],start_options:["Immediately","Start of next calendar month"],cover_page_footer:"About 3 minutes",tabId:"2",licenseTemplate:[{id:1,title:"Do you need an Information License Agreement (ILA)?",headerTitle:"Activate live data",completed:!0,skip:!0,simpleLayout:!0,forms:[{id:1,prompt:`Databento can report eligible users under its ILA. If you qualify, the following benefits apply:
1689
1690 - No need for a separate license agreement with OPRA.
1691 - Immediate access to data without exchange approval.
1692 - Less compliance and reporting burden.
1693 - Lower license fees.
1694
1695If you’re ineligible, you'll need to upload existing ones or execute new license agreements before you can gain access to OPRA live data.`,options:{1:{label:"Eligible to be reported under Databento’s ILA",subLabel:"Immediate approval, less compliance and reporting burden",value:!1},2:{label:"Report directly to venue(s)",subLabel:"Start new ones or upload existing ones",value:!0}},optionVariant:"price-card",optionsDirection:"row",flowChart:{hyperlinks:{nonPro:C7,nonProText:"Refer to Schedule 4 for Non Professionals to determine non-professional status.",nonProLinkText:"View Schedule 4 ->"},chartType:"24hr-dist"},required:!0},{id:45,showIf:[{step:1,form:1,option:"2",value:!0}],emptyContent:!0}],required:!0},{id:2,headerTitle:"Activate live data",headerSubTitle:"About 1 minute left",showIf:[{step:1,form:1,option:"2",value:!0,tab:"1"}],title:"Upload!",completed:!1,needsUpload:!0,required:!0,simpleLayout:!0,noGoingBack:!0,documentsProvided:["OPRA Subscriber Agreement"],tabs:{1:{label:"Upload existing license",targetStep:1},2:{label:"Get a new license",targetStep:2}}},{...cs,noGoingBack:!0,documentsProvided:["OPRA Subscriber Agreement"]},{...us,noGoingBack:!0,documentsProvided:["OPRA Subscriber Agreement"]},{id:4,headerTitle:"Activate live data",simpleLayout:!0,newLicenseAgreementDone:!0,completed:!1,forms:[],required:!0,showIf:[{step:1,form:1,option:"2",value:!0}]}]},"XCBF.PITCH":{fullId:"XCBF.PITCH",id:"XCBF",name:"PITCH",short_name:"CFE",long_name:"Cboe Futures Exchange",dataset_id:"XCBF.PITCH",assetClasses:"Futures · Options",useCase:"Personal use · Commercial use",approval:"Instant approval available",pricing:"Starting at $1.25/mo",billed_on:["pricePerSub","status"],uploadFileNames:"license agreement(s)",active:!1,forms:[],billing_terms:ua["XCBF.PITCH"],start_options:["Immediately","Start of next calendar month"],cover_page_footer:"About 3 minutes",tabId:"2",licenseTemplate:[{id:1,title:"Do you need an Information License Agreement (ILA)?",headerTitle:"Activate live data",completed:!0,skip:!0,simpleLayout:!0,forms:[{id:1,prompt:`Databento can report eligible users under its ILA. If you qualify, the following benefits apply:
1696
1697 - No need for a separate license agreement with CFE.
1698 - Immediate access to data without exchange approval.
1699 - Less compliance and reporting burden.
1700 - Lower license fees.
1701
1702If you’re ineligible, you'll need to upload existing ones or execute new license agreements before you can gain access to CFE live data.`,options:{1:{label:"Eligible to be reported under Databento’s ILA",subLabel:"Immediate approval, less compliance and reporting burden",value:!1},2:{label:"Report directly to venue(s)",subLabel:"Start new ones or upload existing ones",value:!0}},optionVariant:"price-card",optionsDirection:"row",flowChart:{hyperlinks:{nonPro:C7,nonProText:"Refer to Schedule 4 for Non Professionals to determine non-professional status.",nonProLinkText:"View Schedule 4 ->"},chartType:"24hr-dist"},required:!0},{id:45,showIf:[{step:1,form:1,option:"2",value:!0}],emptyContent:!0}],required:!0},{id:2,headerTitle:"Activate live data",headerSubTitle:"About 1 minute left",showIf:[{step:1,form:1,option:"2",value:!0,tab:"1"}],title:"Upload!",completed:!1,needsUpload:!0,required:!0,simpleLayout:!0,noGoingBack:!0,documentsProvided:["Cboe Global Markets Global Data Agreement"],tabs:{1:{label:"Upload existing license",targetStep:1},2:{label:"Get a new license",targetStep:2}}},{...cs,noGoingBack:!0,documentsProvided:["Cboe Global Markets Global Data Agreement"]},{...us,noGoingBack:!0,documentsProvided:["Cboe Global Markets Global Data Agreement"]},{id:4,headerTitle:"Activate live data",simpleLayout:!0,newLicenseAgreementDone:!0,completed:!1,forms:[],required:!0,showIf:[{step:1,form:1,option:"2",value:!0}]}]},"XNAS.ITCH":{fullId:"XNAS.ITCH",id:"XNAS",name:"ITCH",assetClasses:"Equities",short_name:"Nasdaq TotalView-ITCH",long_name:"Nasdaq TotalView-ITCH",useCase:"Commercial use only",approval:"Venue approval required",pricing:"Starting at $2,051/mo",billed_on:[],active:!1,uploadFileNames:"license agreement",dataset_id:"XNAS.ITCH",forms:[],billing_terms:ua["XNAS.ITCH"],start_options:["Immediately","Start of next calendar month"],cover_page_footer:"About 2 minutes",tabId:"2",licenseTemplate:[{id:1,headerTitle:"Activate live data",title:"Report directly to Nasdaq",comercialPricetag:"<COMMERCIAL_PRICE>",simpleLayout:!0,completed:!1,stepVariant:"must-upload",forms:[{id:1,prompt:"Start a new license agreement or upload an existing one.",optionsDirection:"column",required:!0}],required:!0,footer:{title:"Documents to complete",subTitle:` - Nasdaq Global Data Agreement
1703 - Online Data Feed Request Form
1704 - System Application`}},{id:2,headerTitle:"Activate live data",headerSubTitle:"About 1 minute left",title:"Upload! XNAS.ITCH",completed:!1,needsUpload:!0,required:!0,simpleLayout:!0,tabs:{1:{label:"Upload existing license",targetStep:1},2:{label:"Get a new license",targetStep:2}}},{...cs,showIf:void 0},{...us,showIf:void 0}]},"EDGX.PITCH":{fullId:"EDGX.PITCH",id:"EDGX",name:"PITCH",assetClasses:"Equities",short_name:"Cboe EDGX Depth",long_name:"Cboe EDGX Depth",useCase:"Commercial use only",approval:"Venue approval required",pricing:"Starting at $1,500/mo",billed_on:[],active:!1,uploadFileNames:"license agreement",dataset_id:"EDGX.PITCH",forms:[],billing_terms:ua["EDGX.PITCH"],start_options:["Immediately","Start of next calendar month"],cover_page_footer:"About 2 minutes",tabId:"2",licenseTemplate:[{id:1,headerTitle:"Activate live data",title:"Report directly to Cboe",comercialPricetag:"<COMMERCIAL_PRICE>",simpleLayout:!0,completed:!1,stepVariant:"must-upload",forms:[{id:1,prompt:"Start a new license agreement or upload an existing one.",optionsDirection:"column",required:!0}],required:!0,footer:{title:"Documents to complete",subTitle:` - Online Data Feed Request Form
1705 - Data Order Form and System Description
1706 - Cboe Global Data Agreement`}},{id:2,headerTitle:"Activate live data",headerSubTitle:"About 1 minute left",title:"Upload! EDGX.PITCH",completed:!1,needsUpload:!0,required:!0,simpleLayout:!0,tabs:{1:{label:"Upload existing license",targetStep:1},2:{label:"Get a new license",targetStep:2}}},{...cs,showIf:void 0},{...us,showIf:void 0}]},"XNYS.PILLAR":{fullId:"XNYS.PILLAR",id:"XNYS",name:"PILLAR",assetClasses:"Equities",short_name:"NYSE Order Imbalances",long_name:"NYSE Order Imbalances",useCase:"Commercial use only",approval:"Venue approval required",pricing:"Starting at $2,500/mo",billed_on:[],active:!1,uploadFileNames:"license agreement",dataset_id:"XNYS.PILLAR",forms:[],billing_terms:ua["XNYS.PILLAR"],start_options:["Immediately","Start of next calendar month"],cover_page_footer:"About 2 minutes",tabId:"2",licenseTemplate:[{id:1,headerTitle:"Activate live data",title:"Report directly to NYSE",comercialPricetag:"<COMMERCIAL_PRICE>",simpleLayout:!0,completed:!1,stepVariant:"must-upload",forms:[{id:1,prompt:"Start a new license agreement or upload an existing one.",optionsDirection:"column",required:!0}],required:!0,footer:{title:"Documents to complete",subTitle:` - NYSE Professional Subscriber Agreement
1707 - NYSE Exhibit A
1708 - NYSE Exhibit B`}},{id:2,headerTitle:"Activate live data",headerSubTitle:"About 1 minute left",title:"Upload! XNYS.PILLAR",completed:!1,needsUpload:!0,required:!0,simpleLayout:!0,tabs:{1:{label:"Upload existing license",targetStep:1},2:{label:"Get a new license",targetStep:2}}},{...cs,showIf:void 0},{...us,showIf:void 0}]},"ARCX.PILLAR":{fullId:"ARCX.PILLAR",id:"ARCX",name:"PILLAR",assetClasses:"Equities",short_name:"NYSE Arca Order Imbalances",long_name:"NYSE Arca Order Imbalances",useCase:"Commercial use only",approval:"Venue approval required",pricing:"Starting at $1,000/mo",billed_on:[],active:!1,uploadFileNames:"license agreement",dataset_id:"ARCX.PILLAR",forms:[],billing_terms:ua["ARCX.PILLAR"],start_options:["Immediately","Start of next calendar month"],cover_page_footer:"About 2 minutes",tabId:"2",licenseTemplate:[{id:1,headerTitle:"Activate live data",title:"Report directly to NYSE",comercialPricetag:"<COMMERCIAL_PRICE>",simpleLayout:!0,completed:!1,stepVariant:"must-upload",forms:[{id:1,prompt:"Start a new license agreement or upload an existing one.",optionsDirection:"column",required:!0}],required:!0,footer:{title:"Documents to complete",subTitle:` - NYSE Professional Subscriber Agreement
1709 - NYSE Exhibit A
1710 - NYSE Exhibit B`}},{id:2,headerTitle:"Activate live data",headerSubTitle:"About 1 minute left",title:"Upload! ARCX.PILLAR",completed:!1,needsUpload:!0,required:!0,simpleLayout:!0,tabs:{1:{label:"Upload existing license",targetStep:1},2:{label:"Get a new license",targetStep:2}}},{...cs,showIf:void 0},{...us,showIf:void 0}]},"XASE.PILLAR":{fullId:"XASE.PILLAR",id:"XASE",name:"PILLAR",assetClasses:"Equities",short_name:"NYSE American Order Imbalances",long_name:"NYSE American Order Imbalances",useCase:"Commercial use only",approval:"Venue approval required",pricing:"Starting at $1,000/mo",billed_on:[],active:!1,uploadFileNames:"license agreement",dataset_id:"XA

1710SE.PILLAR",forms:[],billing_terms:ua["XASE.PILLAR"],start_options:["Immediately","Start of next calendar month"],cover_page_footer:"About 2 minutes",tabId:"2",licenseTemplate:[{id:1,headerTitle:"Activate live data",title:"Report directly to NYSE",comercialPricetag:"<COMMERCIAL_PRICE>",simpleLayout:!0,completed:!1,stepVariant:"must-upload",forms:[{id:1,prompt:"Start a new license agreement or upload an existing one.",optionsDirection:"column",required:!0}],required:!0,footer:{title:"Documents to complete",subTitle:` - NYSE Professional Subscriber Agreement
1711 - NYSE Exhibit A
1712 - NYSE Exhibit B`}},{id:2,headerTitle:"Activate live data",headerSubTitle:"About 1 minute left",title:"Upload! XASE.PILLAR",completed:!1,needsUpload:!0,required:!0,simpleLayout:!0,tabs:{1:{label:"Upload existing license",targetStep:1},2:{label:"Get a new license",targetStep:2}}},{...cs,showIf:void 0},{...us,showIf:void 0}]},"IFLL.IMPACT":{fullId:"IFLL.IMPACT",id:"IFLL",name:"IMPACT",short_name:"ICE Europe Financials",long_name:"ICE Europe Financials",dataset_id:"IFLL.IMPACT",assetClasses:"Futures · Options",useCase:"Personal use · Commercial use",approval:"Instant approval available",pricing:"Starting at $875/mo",billed_on:["devices","connections"],uploadFileNames:"license agreement(s)",active:!1,forms:[],billing_terms:ua["IFLL.IMPACT"],start_options:["Immediately","Start of next calendar month"],cover_page_footer:"About 3 minutes",tabId:"2",licenseTemplate:[{id:1,title:"Do you need an Information License Agreement (ILA)?",headerTitle:"Activate live data",completed:!0,skip:!0,simpleLayout:!0,forms:[{id:1,options:{1:{label:"Eligible to be reported under Databento’s ILA",subLabel:"Immediate approval, less compliance and reporting burden",value:!1},2:{label:"Report directly to venue(s)",subLabel:"Start new ones or upload existing ones",value:!0}},optionVariant:"price-card",optionsDirection:"row",required:!0},{id:45,showIf:[{step:1,form:1,option:"2",value:!0}],emptyContent:!0}],required:!0},{id:2,headerTitle:"Activate live data",headerSubTitle:"About 1 minute left",showIf:[{step:1,form:1,option:"2",value:!0,tab:"1"}],title:"Upload!",completed:!1,needsUpload:!0,required:!0,simpleLayout:!0,noGoingBack:!0,documentsProvided:["ICE Subscriber Agreement"],tabs:{1:{label:"Upload existing license",targetStep:1},2:{label:"Get a new license",targetStep:2}}},{...cs,noGoingBack:!0,documentsProvided:["ICE Subscriber Agreement"]},{...us,noGoingBack:!0,documentsProvided:["ICE Subscriber Agreement"]},{id:4,headerTitle:"Activate live data",simpleLayout:!0,newLicenseAgreementDone:!0,completed:!1,forms:[],required:!0,showIf:[{step:1,form:1,option:"2",value:!0}]}]},"IFUS.IMPACT":{fullId:"IFUS.IMPACT",id:"IFUS",name:"IMPACT",short_name:"ICE Futures Europe",long_name:"ICE Futures Europe",dataset_id:"IFUS.IMPACT",assetClasses:"Futures · Options",useCase:"Personal use · Commercial use",approval:"Instant approval available",pricing:"Starting at $875/mo",billed_on:["devices","connections"],uploadFileNames:"license agreement(s)",active:!1,forms:[],billing_terms:ua["IFUS.IMPACT"],start_options:["Immediately","Start of next calendar month"],cover_page_footer:"About 3 minutes",tabId:"2",licenseTemplate:[{id:1,title:"Do you need an Information License Agreement (ILA)?",headerTitle:"Activate live data",completed:!0,skip:!0,simpleLayout:!0,forms:[{id:1,options:{1:{label:"Eligible to be reported under Databento’s ILA",subLabel:"Immediate approval, less compliance and reporting burden",value:!1},2:{label:"Report directly to venue(s)",subLabel:"Start new ones or upload existing ones",value:!0}},optionVariant:"price-card",optionsDirection:"row",required:!0},{id:45,showIf:[{step:1,form:1,option:"2",value:!0}],emptyContent:!0}],required:!0},{id:2,headerTitle:"Activate live data",headerSubTitle:"About 1 minute left",showIf:[{step:1,form:1,option:"2",value:!0,tab:"1"}],title:"Upload!",completed:!1,needsUpload:!0,required:!0,simpleLayout:!0,noGoingBack:!0,documentsProvided:["ICE Subscriber Agreement"],tabs:{1:{label:"Upload existing license",targetStep:1},2:{label:"Get a new license",targetStep:2}}},{...cs,noGoingBack:!0,documentsProvided:["ICE Subscriber Agreement"]},{...us,noGoingBack:!0,documentsProvided:["ICE Subscriber Agreement"]},{id:4,headerTitle:"Activate live data",simpleLayout:!0,newLicenseAgreementDone:!0,completed:!1,forms:[],required:!0,showIf:[{step:1,form:1,option:"2",value:!0}]}]},"IFEU.IMPACT":{fullId:"IFEU.IMPACT",id:"IFEU",name:"IMPACT",short_name:"ICE Europe Commodities",long_name:"ICE Europe Commodities",dataset_id:"IFEU.IMPACT",assetClasses:"Futures · Options",useCase:"Personal use · Commercial use",approval:"Instant approval available",pricing:"Starting at $875/mo",billed_on:["devices","connections"],uploadFileNames:"license agreement(s)",active:!1,forms:[],billing_terms:ua["IFEU.IMPACT"],start_options:["Immediately","Start of next calendar month"],cover_page_footer:"About 3 minutes",tabId:"2",licenseTemplate:[{id:1,title:"Do you need an Information License Agreement (ILA)?",headerTitle:"Activate live data",completed:!0,skip:!0,simpleLayout:!0,forms:[{id:1,options:{1:{label:"Eligible to be reported under Databento’s ILA",subLabel:"Immediate approval, less compliance and reporting burden",value:!1},2:{label:"Report directly to venue(s)",subLabel:"Start new ones or upload existing ones",value:!0}},optionVariant:"price-card",optionsDirection:"row",required:!0},{id:45,showIf:[{step:1,form:1,option:"2",value:!0}],emptyContent:!0}],required:!0},{id:2,headerTitle:"Activate live data",headerSubTitle:"About 1 minute left",showIf:[{step:1,form:1,option:"2",value:!0,tab:"1"}],title:"Upload!",completed:!1,needsUpload:!0,required:!0,simpleLayout:!0,noGoingBack:!0,documentsProvided:["ICE Subscriber Agreement"],tabs:{1:{label:"Upload existing license",targetStep:1},2:{label:"Get a new license",targetStep:2}}},{...cs,noGoingBack:!0,documentsProvided:["ICE Subscriber Agreement"]},{...us,noGoingBack:!0,documentsProvided:["ICE Subscriber Agreement"]},{id:4,headerTitle:"Activate live data",simpleLayout:!0,newLicenseAgreementDone:!0,completed:!1,forms:[],required:!0,showIf:[{step:1,form:1,option:"2",value:!0}]}]},"NDEX.IMPACT":{fullId:"NDEX.IMPACT",id:"NDEX",name:"IMPACT",short_name:"ICE Endex",long_name:"ICE Endex",dataset_id:"NDEX.IMPACT",assetClasses:"Futures · Options",useCase:"Personal use · Commercial use",approval:"Instant approval available",pricing:"Starting at $875/mo",billed_on:["devices","connections"],uploadFileNames:"license agreement(s)",active:!1,forms:[],billing_terms:ua["NDEX.IMPACT"],start_options:["Immediately","Start of next calendar month"],cover_page_footer:"About 3 minutes",tabId:"2",licenseTemplate:[{id:1,title:"Do you need an Information License Agreement (ILA)?",headerTitle:"Activate live data",completed:!0,skip:!0,simpleLayout:!0,forms:[{id:1,options:{1:{label:"Eligible to be reported under Databento’s ILA",subLabel:"Immediate approval, less compliance and reporting burden",value:!1},2:{label:"Report directly to venue(s)",subLabel:"Start new ones or upload existing ones",value:!0}},optionVariant:"price-card",optionsDirection:"row",required:!0},{id:45,showIf:[{step:1,form:1,option:"2",value:!0}],emptyContent:!0}],required:!0},{id:2,headerTitle:"Activate live data",headerSubTitle:"About 1 minute left",showIf:[{step:1,form:1,option:"2",value:!0,tab:"1"}],title:"Upload!",completed:!1,needsUpload:!0,required:!0,simpleLayout:!0,noGoingBack:!0,documentsProvided:["ICE Subscriber Agreement"],tabs:{1:{label:"Upload existing license",targetStep:1},2:{label:"Get a new license",targetStep:2}}},{...cs,noGoingBack:!0,documentsProvided:["ICE Subscriber Agreement"]},{...us,noGoingBack:!0,documentsProvided:["ICE Subscriber Agreement"]},{id:4,headerTitle:"Activate live data",simpleLayout:!0,newLicenseAgreementDone:!0,completed:!1,forms:[],required:!0,showIf:[{step:1,form:1,option:"2",value:!0}]}]},"EQUS.MINI":{fullId:"EQUS.MINI",id:"EQUS",name:"MINI",assetClasses:"Equities",short_name:"US Equities",long_name:"Databento US Equities",useCase:"Commercial use only",approval:"Included",pricing:"No license fees",billed_on:[],active:!1,uploadFileNames:"license agreement",dataset_id:"EQUS.MINI",forms:[],billing_terms:ua["EQUS.MINI"],start_options:["Immediately","Start of next calendar month"],cover_page_footer:"About 2 minutes",licenseTemplate:[]},"EQUS.SUMMARY":{fullId:"EQUS.SUMMARY",id:"EQUS",name:"SUMMARY",assetClasses:"Equities",short_name:"US Equities",long_name:"Databento US Equities",useCase:"Commercial use only",approval:"Included",pricing:"No license fees",billed_on:[],active:!1,uploadFileNames:"license agreement",dataset_id:"EQUS.SUMMARY",forms:[],billing_terms:ua["EQUS.SUMMARY"],start_options:["Immediately","Start of next calendar month"],cover_page_footer:"About 2 minutes",licenseTemplate:[]},"XNAS.BASIC":{fullId:"XNAS.BASIC",id:"XNAS",name:"BASIC",assetClasses:"Equities",short_name:"Nasdaq Basic with NLS Plus",long_name:"Nasdaq Basic with NLS Plus",useCase:"Commercial use only",approval:"Venue approval required",pricing:"Starting at $2,051/mo",billed_on:[],active:!1,uploadFileNames:"license agreement",dataset_id:"XNAS.BASIC",forms:[],billing_terms:ua["XNAS.BASIC"],start_options:["Immediately","Start of next calendar month"],cover_page_footer:"About 2 minutes",tabId:"2",licenseTemplate:[{id:1,headerTitle:"Licensing",title:"Report directly to Nasdaq",comercialPricetag:"<COMMERCIAL_PRICE>",simpleLayout:!0,completed:!1,stepVariant:"must-upload",forms:[{id:1,prompt:"Start a new license agreement or upload an existing one.",optionsDirection:"column",required:!0}],required:!0,footer:{title:"Documents to complete",subTitle:` - Nasdaq Global Data Agreement
1713 - Online Data Feed Request Form
1714 - System Application`}},{id:2,headerTitle:"Activate live data",headerSubTitle:"About 1 minute left",title:"Upload!",completed:!1,needsUpload:!0,required:!0,simpleLayout:!0,tabs:{1:{label:"Upload existing license",targetStep:1},2:{label:"Get a new license",targetStep:2}}},{...cs,showIf:void 0},{...us,showIf:void 0},{id:5,completed:!1,headerTitle:"Activate live data",headerSubTitle:"About 3 minutes left",showIf:[{step:1,form:1,option:"1",value:!0}],forms:[{id:2,title:"How many devices will you access the data on?",prompt:"There are no fees for any number of display or non-display devices in this dataset bundle. However, this information is still needed for reporting purposes.",options:{1:{label:"Display",value:!0,multiselect:!0,inputNumber:null,inputType:"number",max:9999999,licenseData:"displayDevices",placeholder:"0"},2:{label:"Non-display",value:!0,multiselect:!0,inputNumber:null,inputType:"number",max:9999999,licenseData:"nonDisplayDevices",placeholder:"0"}},required:!0},{id:3,title:"Specify your effective start date.",prompt:"If you don’t specify an effective start date, you’ll be given access immediately upon submission of this form. Most users prefer to start immediately since there are no license fees for this dataset bundle.",options:{1:{label:"Immediately",value:!1,licenseData:"startDate"},2:{label:"Start of next calendar month",value:!1,licenseData:"startDate"}},required:!0}],required:!0},{id:6,completed:!1,headerTitle:"Activate live data",headerSubTitle:"About 2 minutes left",showIf:[{step:1,form:1,option:"1",value:!0}],forms:[{id:2,title:"Specify your personal and employer data",prompt:`To qualify as a [non-professional](${mit}#page=3) subscriber for NYSE, the subscriber must provide the following information:`,skipAllPrompt:"Not currently employed",skipAllValue:!1,inputs:{2:{label:"Employer name",value:"<Company 

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1715 - NYSE Exhibit A
1716 - NYSE Exhibit B`}},{id:2,headerTitle:"Activate live data",headerSubTitle:"About 1 minute left",title:"Upload! XCHI.PILLAR",completed:!1,needsUpload:!0,required:!0,simpleLayout:!0,tabs:{1:{label:"Upload existing license",targetStep:1},2:{label:"Get a new license",targetStep:2}}},{...cs,showIf:void 0},{...us,showIf:void 0}]},"XCIS.TRADESBBO":{fullId:"XCIS.TRADESBBO",id:"XCIS",name:"TRADESBBO",assetClasses:"Equities",short_name:"NYSE National Trades and BBO",long_name:"NYSE National Trades and BBO",useCase:"Commercial use only",approval:"Venue approval required",pricing:"Starting at $2,051/mo",billed_on:[],active:!1,uploadFileNames:"license agreement",dataset_id:"XCIS.TRADESBBO",forms:[],billing_terms:ua["XCIS.TRADESBBO"],start_options:["Immediately","Start of next calendar month"],cover_page_footer:"About 2 minutes",tabId:"2",licenseTemplate:[{id:1,headerTitle:"Activate live data",title:"Report directly to NYSE",comercialPricetag:"<COMMERCIAL_PRICE>",simpleLayout:!0,completed:!1,stepVariant:"must-upload",forms:[{id:1,prompt:"Start a new license agreement or upload an existing one.",optionsDirection:"column",required:!0}],required:!0,footer:{title:"Documents to complete",subTitle:` - NYSE Professional Subscriber Agreement
1717 - NYSE Exhibit A
1718 - NYSE Exhibit B`}},{id:2,headerTitle:"Activate live data",headerSubTitle:"About 1 minute left",title:"Upload! XCIS.TRADESBBO",completed:!1,needsUpload:!0,required:!0,simpleLayout:!0,tabs:{1:{label:"Upload existing license",targetStep:1},2:{label:"Get a new license",targetStep:2}}},{...cs,showIf:void 0},{...us,showIf:void 0}]},"XPSX.ITCH":{fullId:"XPSX.ITCH",id:"XPSX",name:"ITCH",assetClasses:"Equities",short_name:"Nasdaq PSX TotalView-ITCH",long_name:"Nasdaq PSX TotalView-ITCH",useCase:"Commercial use only",approval:"Venue approval required",pricing:"Starting at $2,051/mo",billed_on:[],active:!1,uploadFileNames:"license agreement",dataset_id:"XPSX.ITCH",forms:[],billing_terms:ua["XPSX.ITCH"],start_options:["Immediately","Start of next calendar month"],cover_page_footer:"About 2 minutes",tabId:"2",licenseTemplate:[{id:1,headerTitle:"Licensing",title:"Report directly to Nasdaq",comercialPricetag:"<COMMERCIAL_PRICE>",simpleLayout:!0,completed:!1,stepVariant:"must-upload",forms:[{id:1,prompt:"Start a new license agreement or upload an existing one.",optionsDirection:"column",required:!0}],required:!0,footer:{title:"Documents to complete",subTitle:` - Nasdaq Global Data Agreement
1719 - Online Data Feed Request Form
1720 - System Application`}},{id:2,headerTitle:"Activate live data",headerSubTitle:"About 1 minute left",title:"Upload!",completed:!1,needsUpload:!0,required:!0,simpleLayout:!0,tabs:{1:{label:"Upload existing license",targetStep:1},2:{label:"Get a new license",targetStep:2}}},{...cs,showIf:void 0},{...us,showIf:void 0}]},"XNYS.TRADES":{fullId:"XNYS.TRADES",id:"XNYS",name:"TRADES",assetClasses:"Equities",short_name:"NYSE trades",long_name:"NYSE trades",useCase:"Commercial use only",approval:"Venue approval required",pricing:"Starting at $2,051/mo",billed_on:[],active:!1,uploadFileNames:"license agreement",dataset_id:"XNYS.TRADES",forms:[],billing_terms:ua["XNYS.TRADES"],start_options:["Immediately","Start of next calendar month"],cover_page_footer:"About 2 minutes",tabId:"2",licenseTemplate:[{id:1,headerTitle:"Licensing",title:"Report directly to NYSE",comercialPricetag:"<COMMERCIAL_PRICE>",simpleLayout:!0,completed:!1,stepVariant:"must-upload",forms:[{id:1,prompt:"Start a new license agreement or upload an existing one.",optionsDirection:"column",required:!0}],required:!0,footer:{title:"Documents to complete",subTitle:` - NYSE Professional Subscriber Agreement 
1721 - NYSE Exhibit A 
1722 - NYSE Exhibit B`}},{id:2,headerTitle:"Activate live data",headerSubTitle:"About 1 minute left",title:"Upload!",completed:!1,needsUpload:!0,required:!0,simpleLayout:!0,tabs:{1:{label:"Upload existing license",targetStep:1},2:{label:"Get a new license",targetStep:2}}},{...cs,showIf:void 0},{...us,showIf:void 0}]},"XEEE.EOBI":{fullId:"XEEE.EOBI",id:"XEEE",name:"EOBI",assetClasses:"Futures · Options",short_name:"EEX",long_name:"EEX",useCase:"Commercial use only",approval:"Coming soon",pricing:"Starting at $2,051/mo",billed_on:[],active:!1,uploadFileNames:"license agreement",dataset_id:"XEEE.EOBI",forms:[],billing_terms:ua["GLBX.MDP3"],start_options:["Immediately","Start of next calendar month"],cover_page_footer:"About 2 minutes",tabId:"2",licenseTemplate:[{id:1,title:"Do you need an Information License Agreement (ILA)?",headerTitle:"Activate live data",completed:!0,skip:!0,simpleLayout:!0,forms:[{id:1,prompt:`Databento can report eligible users under its ILA. If you qual

1722ify, the following benefits apply:
1723
1724 - No need for a separate license agreement with CME.
1725 - Immediate access to data without exchange approval.
1726 - Less compliance and reporting burden.
1727 - Lower license fees.
1728
1729If you’re ineligible, you'll need to upload existing ones or execute new license agreements before you can gain access to CME live data.`,options:{1:{label:"Eligible to be reported under Databento’s ILA",subLabel:"Immediate approval, less compliance and reporting burden",value:!1},2:{label:"Report directly to venue(s)",subLabel:"Start new ones or upload existing ones",value:!0}},optionVariant:"price-card",optionsDirection:"row",flowChart:{hyperlinks:{nonPro:C7,nonProText:"Refer to Schedule 4 for Non Professionals to determine non-professional status.",nonProLinkText:"View Schedule 4 ->"},chartType:"24hr-dist"},required:!0},{id:45,subTitle:"Before gaining access to CME live data, you (the “Subscriber”) attest that you’ve read and will abide by the current and future terms for accessing market data set forth in:",links:[{id:M5["glbx-ila-schedule-5"],url:Jp,required:!1,type:"web",icon:"Documents",label:"CME - Schedule 5 to the ILA, Paragraphs 6 and 8",complete:!0,inputs:[]}],showIf:[{step:1,form:1,option:"1",value:!0}],options:{1:{label:"I’ve read and will abide by the current and future terms for accessing market data set forth above.",value:!1,multiselect:!0,licenseData:"glbxIlaSchedule5Confirmed",licenseDataValue:!0}},required:!0},{id:45,showIf:[{step:1,form:1,option:"2",value:!0}],emptyContent:!0}],required:!0,optionalFooter:{1:{title:"Documents to complete",subTitle:`Databento Live Attestation (CME)
1730Exhibit A to Schedule 4`},2:{title:"Documents to complete",subTitle:"CME Information License Agreement"}}},{id:2,headerTitle:"Activate live data",headerSubTitle:"About 1 minute left",showIf:[{step:1,form:1,option:"2",value:!0,tab:"1"}],title:"Upload!",completed:!1,needsUpload:!0,required:!0,simpleLayout:!0,noGoingBack:!0,documentsProvidedForServiceTiers:{Plus:["EEX DataSource Service Agreement"],Unlimited:["Deutsche Boerse MD+S Data Usage Declaration"]},tabs:{1:{label:"Upload existing license",targetStep:1},2:{label:"Get a new license",targetStep:2}}},{...cs,noGoingBack:!0,documentsProvidedForServiceTiers:{Plus:["EEX DataSource Service Agreement"],Unlimited:["Deutsche Boerse MD+S Data Usage Declaration"]}},{...us,noGoingBack:!0,documentsProvidedForServiceTiers:{Plus:["EEX DataSource Service Agreement"],Unlimited:["Deutsche Boerse MD+S Data Usage Declaration"]}},{id:4,headerTitle:"Activate live data",simpleLayout:!0,newLicenseAgreementDone:!0,completed:!1,forms:[],required:!0,showIf:[{step:1,form:1,option:"2",value:!0}]}]},"XEUR.EOBI":{fullId:"XEUR.EOBI",id:"XEUR",name:"EOBI",short_name:"Eurex",long_name:"Eurex",dataset_id:"XEUR.EOBI",assetClasses:"Futures · Options",useCase:"Personal use · Commercial use",approval:"Instant approval available",pricing:"Starting at $32.50/mo",billed_on:["displayDevices","nonDisplayDevices","status"],uploadFileNames:"license agreement(s)",active:!1,forms:[],billing_terms:ua["GLBX.MDP3"],start_options:["Immediately","Start of next calendar month"],cover_page_footer:"About 3 minutes",tabId:"2",licenseTemplate:[{id:1,title:"Do you need an Information License Agreement (ILA)?",headerTitle:"Activate live data",completed:!0,skip:!0,simpleLayout:!0,forms:[{id:1,prompt:`Databento can report eligible users under its ILA. If you qualify, the following benefits apply:
1731
1732 - No need for a separate license agreement with CME.
1733 - Immediate access to data without exchange approval.
1734 - Less compliance and reporting burden.
1735 - Lower license fees.
1736
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1738Exhibit A to Schedule 4`},2:{title:"Documents to complete",subTitle:"CME Information License Agreement"}}},{id:2,headerTitle:"Activate live data",headerSubTitle:"About 1 minute left",showIf:[{step:1,form:1,option:"2",value:!0,tab:"1"}],title:"Upload!",completed:!1,needsUpload:!0,required:!0,simpleLayout:!0,noGoingBack:!0,documentsProvided:["Deutsche Börse AG Market Data Dissemination Agreement (MDDA)","Deutsche Börse AG MD+S Interactive Data Usage Declaration"],tabs:{1:{label:"Upload existing license",targetStep:1},2:{label:"Get a new license",targetStep:2}}},{...cs,noGoingBack:!0,documentsProvided:["Deutsche Börse AG Market Data Dissemination Agreement (MDDA)","Deutsche Börse AG MD+S Interactive Data Usage Declaration"]},{...us,noGoingBack:!0,documentsProvided:["Deutsche Börse AG Market Data Dissemination Agreement (MDDA)","Deutsche Börse AG MD+S Interactive Data Usage Declaration"]},{id:4,headerTitle:"Activate live data",simpleLayout:!0,newLicenseAgreementDone:!0,completed:!1,forms:[],required:!0,showIf:[{step:1,form:1,option:"2",value:!0}]},{id:12999,completed:!1,headerTitle:"Activate live data",headerSubTitle:"About 2 minutes left",forms:[{id:2,title:"How many devices will you access the data on?",prompt:`Your fees are higher if you access the data on more [devices](${jV}).                 Professional users are billed higher for [non-display devices](${Jp}).                 Non-professional users are billed the same for each non-display or [dis

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1739
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1741client = db.Historical('YOUR_API_KEY')
1742
1743data = client.timeseries.get_range(
1744    dataset='GLBX.MDP3',
1745    schema='definition',
1746    symbols='ES.c.0',
1747    stype_in='continuous',
1748    start='2022-06-01',
1749    end='2022-12-31',
1750)
1751
1752df = data.to_df()
1753print(df.resample("1W").first()["symbol"])`,output:`ts_recv
17542022-06-05 00:00:00+00:00    ESM2
17552022-06-12 00:00:00+00:00    ESM2
17562022-06-19 00:00:00+00:00    ESM2
17572022-06-26 00:00:00+00:00    ESU2
17582022-07-03 00:00:00+00:00    ESU2
17592022-07-10 00:00:00+00:00    ESU2
17602022-07-17 00:00:00+00:00    ESU2
17612022-07-24 00:00:00+00:00    ESU2
17622022-07-31 00:00:00+00:00    ESU2
17632022-08-07 00:00:00+00:00    ESU2
17642022-08-14 00:00:00+00:00    ESU2
17652022-08-21 00:00:00+00:00    ESU2
17662022-08-28 00:00:00+00:00    ESU2
17672022-09-04 00:00:00+00:00    ESU2
17682022-09-11 00:00:00+00:00    ESU2
17692022-09-18 00:00:00+00:00    ESU2
17702022-09-25 00:00:00+00:00    ESZ2
17712022-10-02 00:00:00+00:00    ESZ2
17722022-10-09 00:00:00+00:00    ESZ2
17732022-10-16 00:00:00+00:00    ESZ2
17742022-10-23 00:00:00+00:00    ESZ2
17752022-10-30 00:00:00+00:00    ESZ2
17762022-11-06 00:00:00+00:00    ESZ2
17772022-11-13 00:00:00+00:00    ESZ2
17782022-11-20 00:00:00+00:00    ESZ2
17792022-11-27 00:00:00+00:00    ESZ2
17802022-12-04 00:00:00+00:00    ESZ2
17812022-12-11 00:00:00+00:00    ESZ2
17822022-12-18 00:00:00+00:00    ESZ2
17832022-12-25 00:00:00+00:00    ESH3
17842023-01-01 00:00:00+00:00    ESH3
1785Freq: W-SUN, Name: symbol, dtype: object`}}},uS="GLBX.MDP3",dS="2023-01-09T00:00",fS="2023-01-09T20:00",pS=100,hS=`ts_recv,             ts_event,            ts_in_delta, publisher_id, instrument_id, order_id,       action, side, flags, price,       size, sequence
17861673222400000000000, 1673208004685666247, 0,           1,            18433,         60119950026635, A,      B,    40,    5000000000,  44,   53798
17871673222400000000000, 1673208004685666247, 0,           1,            18433,         60120979501379, A,      B,    40,    5000000000,  4,    53798
17881673222400000000000, 1673208004685666247, 0,           1,            18433,         60121897269583, A,      B,    40,    5000000000,  60,   53798
17891673222400000000000, 1673208004685666247, 0,           1,            18433,         60120857762230, A,      B,    40,    4750000000,  66,   53798
17901673222400000000000, 1673208004685666247, 0,           1,            18433,         60120857765738, A,      B,    40,    4750000000,  12,   53798
17911673222400000000000, 1673208004685666247, 0,           1,            18433,         60120857799990, A,      B,    40,    4750000000,  2,    53798
17921673222400000000000, 1673208004685666247, 0,           1,            18433,         60120945457223, A,      B,    40,    4250000000,  5,    53798
17931673222400000000000, 1673208004685666247, 0,           1,            23168,         60121881915137, A,      A,    40,    5500000000,  1,    54397
17941673222400000000000, 1673208004685666247, 0,           1,            23168,         60120415424685, A,      A,    40,    17875000000, 10,   54397
17951673222400000000000, 1673208004685666247, 0,           1,            25141,         60117432666701, A,      B,    40,    1250000000,  3,    53452
17961673222400000000000, 1673208004685666247, 0,           1,            30666,         60121146064512, A,      B,    40,    1250000000,  1,    53695
17971673222400000000000, 1673208004685666247, 0,           1,            30666,         60121146338191, A,      B,    40,    1250000000,  1,    53695
17981673222400000000000, 1673208004685666247, 0,           1,            30666,         60120469364227, A,      B,    40,    1000000000,  2,    53695
17991673222400000000000, 1673208004685666247, 0,           1,            30666,         60122709548814, A,      B,    40,    1000000000,  20,   53695
18001673222400000000000, 1673208004685666247, 0,           1,            30666,         60122845344209, A,      B,    40,    1000000000,  10,   53695
18011673222400000000000, 1673208004685666247, 0,           1,            30666,         60120502919201, A,      B,    40,    125000000,   7,    53695
18021673222400000000000, 1673208004685666247, 0,           1,            30666,         60122075781601, A,      A,    40,    4625000000,  1,    53695
18031673222400000000000, 1673208004685666247, 0,           1,            30666,         60119705884988, A,      A,    40,    10000000000, 2,    53695
18041673222400000000000, 1673208004685666247, 0,           1,            30666,         60119869949563, A,      A,    40,    13000000000, 34,   53695
18051673222400000000000, 1673208004685666247, 0,           1,            30666,         60118035286324, A,      A,    40,    18500000000, 10,   53695
18061673222400000000000, 1673208004685666247, 0,           1,            30666,         60118076173291, A,      A,    40,    20000000000, 2,    53695
18071673222400000000000, 1673208004685666247, 0,           1,            30666,         60120502919156, A,      A,    40,    25000000000, 16,   53695
18081673222400000000000, 1673208004685666247, 0,           1,            30666,         60117257772354, A,      A,    40,    30000000000, 4,    53695
18091673222400000000000, 1673208004685666247, 0,           1,            33925,         60122716733623, A,      B,    40,    15000000,    2,    52991
18101673222400000000000, 1673208004685666247, 0,           1,            41498,         60121828

1810038636, A,      A,    40,    125000000,   2,    54523
18111673222400000000000, 1673208004685666247, 0,           1,            45660,         60121235989489, A,      B,    40,    2500000000,  5,    54010
18121673222400000000000, 1673208004685666247, 0,           1,            45660,         60121916294936, A,      B,    40,    1500000000,  5,    54010
18131673222400000000000, 1673208004685666247, 0,           1,            45660,         60122376579489, A,      B,    40,    1500000000,  14,   54010
18141673222400000000000, 1673208004685666247, 0,           1,            45660,         60120580636752, A,      A,    40,    41000000000, 2,    54010
18151673222400000000000, 1673208004685666247, 0,           1,            46568,         60122758067058, A,      B,    40,    3000000000,  16,   54371
18161673222400000000000, 1673208004685666247, 0,           1,            47663,         60119273093209, A,      A,    40,    53000000000, 1,    54374
18171673222400000000000, 1673208004685666247, 0,           1,            49049,         60122815788484, A,      B,    40,    17125000000, 1,    53722
18181673222400000000000, 1673208004685666247, 0,           1,            49049,         60122755543285, A,      A,    40,    24000000000, 18,   53722
18191673222400000000000, 1673208004685666247, 0,           1,            49049,         60121782733627, A,      A,    40,    30000000000, 16,   53722
18201673222400000000000, 1673208004685666247, 0,           1,            49049,         60121548125915, A,      A,    40,    35000000000, 1,    53722
18211673222400000000000, 1673208004685666247, 0,           1,            49398,         60122832728618, A,      B,    40,    12000000000, 5,    53791
18221673222400000000000, 1673208004685666247, 0,           1,            49398,         60120475754127, A,      B,    40,    8500000000,  8,    53791
18231673222400000000000, 1673208004685666247, 0,           1,            49398,         60120458747715, A,      B,    40,    7000000000,  10,   53791
18241673222400000000000, 1673208004685666247, 0,           1,            49398,         60107956771828, A,      B,    40,    6250000000,  109,  53791
18251673222400000000000, 1673208004685666247, 0,           1,            49398,         60120474942778, A,      B,    40,    5000000000,  5,    53791
18261673222400000000000, 1673208004685666247, 0,           1,            49398,         60119212000673, A,      B,    40,    4000000000,  16,   53791
18271673222400000000000, 1673208004685666247, 0,           1,            49398,         60121193813976, A,      B,    40,    2750000000,  15,   53791
18281673222400000000000, 1673208004685666247, 0,           1,            49398,         60119266518012, A,      A,    40,    25000000000, 1,    53791
18291673222400000000000, 1673208004685666247, 0,           1,            49398,         60118375584679, A,      A,    40,    34000000000, 4,    53791
18301673222400000000000, 1673208004685666247, 0,           1,            50380,         60122045520433, A,      B,    40,    1000000000,  1,    54008
18311673222400000000000, 1673208004685666247, 0,           1,            50380,         60122075961601, A,      A,    40,    7375000000,  1,    54008
18321673222400000000000, 1673208004685666247, 0,           1,            50755,         60117398153924, A,      B,    40,    1550000000,  27,   53538
18331673222400000000000, 1673208004685666247, 0,           1,            54062,         60121972345982, A,      B,    40,    5000000000,  20,   53812
18341673222400000000000, 1673208004685666247, 0,           1,            54062,         60122557284147, A,      B,    40,    5000000000,  5,    53812
18351673222400000000000, 1673208004685666247, 0,           1,            54062,         60121302325697, A,      B,    40,    4625000000,  48,   53812
18361673222400000000000, 1673208004685666247, 0,           1,            54062,         60121302547536, A,      B,    40,    4625000000,  12,   53812
18371673222400000000000, 1673208004685666247, 0,           1,            54062,         60114363083757, A,      B,    40,    4500000000,  11,   53812
18381673222400000000000, 1673208004685666247, 0,           1,            54062,         60113060086382, A,      B,    40,    4375000000,  50,   53812
18391673222400000000000, 1673208004685666247, 0,           1,            54062,         60122324912536, A,      B,    40,    4250000000,  100,  53812
18401673222400000000000, 1673208004685666247, 0,           1,            54062,         60116827557710, A,      B,    40,    4000000000,  2,    53812
18411673222400000000000, 1673208004685666247, 0,           1,            54062,         60119212250001, A,      B,    40,    2250000000,  16,   53812
18421673222400000000000, 1673208004685666247, 0,           1,            54232,         60122063059516, A,      B,    40,    16500000000, 24,   53902
18431673222400000000000, 1673208004685666247, 0,           1,            54232,         60115633971035, A,      B,    40,    7750000000,  211,  53902
18441673222400000000000, 1673208004685666247, 0,           1,            54232,         60120279014100, A,      B,    40,    5000000000,  60,   53902
18451673222400000000000, 1673208004685666247, 0,           1,            54232,         60116312280142, A,      A,    40,    26500000000, 31,   53902
18461673222400000000000, 1673208004685666247, 0,           1,            54232,         60118605865077, A,      A,    40,    26500000000, 4,    53902
18471673222400000000000, 1673208004685666247, 0,           1,            54232,         60118607773571, A,      A,    40,    26500000000, 4,    53902
18481673222400000000000, 1673208004685666247, 0,           1,            54232,         60118608965374, A,      A,    40,    26500000000, 5,    53902
18491673222400000000000, 1673208004685666247, 0,           1,            54232,         60119126408537, A,      A,    40,    26500000000, 4,    53902
18501673222400000000000, 1673208004685666247, 0,           1,            58401,         60121182588198, A,      B,    40,    3000000000,  1,    54420
18511673222400000000000, 1673208004685666247, 0,           1,            58401,         60122845929822, A,      B,    40,    3000000000,  2,    54420
18521673222400000000000, 1673208004685666247, 0,           1,            58401,         60122620048651, A,      A,    40,    21000000000, 4,    54420
18531673222400000000000, 1673208004685666247, 0,           1,            58401,         60122458029367, A,      A,    40,    32500000000, 2,    54420
18541673222400000000000, 1673208004685666247, 0,           1,            58996,         60117414052313, A,      B,    40,    8600000000,  15,   53497
18551673222400000000000, 1673208004685666247, 0,           1,            58996,         60116855740985, A,      B,    40,    2300000000,  3,    53497
18561673222400000000000, 1673208004685666247, 0,           1,            61106,         60122524319620, A,      B,    40,    2000000000,  20,   53932
18571673222400000000000, 1673208004685666247, 0,           1,            63973,         60122376753901, A,      B,    40,    2000000000,  7,    54011
18581673222400000000000, 1673208004685666247, 0,           1,            63973,         60120617882029, A,      B,    40,    1000000000,  1,    54011
18591673222400000000000, 1673208004685666247, 0,           1,            63973,         60122715426281, A,      A,    40,    22000000000, 1,    54011
18601673222400000000000, 1673208004685666247, 0,           1,            63973,         60122715455402, A,      A,    40,    22000000000, 1,    54011
18611673222400000000000, 1673208004685666247, 0,           1,            65641,         60122812305012, A,      B,    40,    1625000000,  1,    53693
18621673222400000000000, 1673208004685666247, 0,           1,            65641,         60121503738295, A,      B,    40,    1500000000,  10,   53693
18631673222400000000000, 1673208004685666247, 0,           1,            65641,         60116814650332, A,      B,    40,    1000000000,  1,    53693
18641673222400000000000, 1673208004685666247, 0,           1,            65641,         60122667123396, A,      A,    40,    7500000000,  1,    53693
18651673222400000000000, 1673208004685666247, 0,           1,            65641,         60120502919266, A,      A,    40,    8750000000,  30,   53693
18661673222400000000000, 1673208004685666247, 0,           1,            65641,         60120722014005, A,      A,    40,    9125000000,  20,   53693
18671673222400000000000, 1673208004685666247, 0,           1,            65641,         60120773360566, A,      A,    40,    9500000000,  20,   53693
18681673222400000000000, 1673208004685666247, 0,           1,            65641,         60119847395513, A,      A,    40,    10000000000, 1,    53693
18691673222400000000000, 1673208004685666247, 0,           1,            65641,         60119913619471, A,      A,    40,    10000000000, 10,   53693
18701673222400000000000, 1673208004685666247, 0,           1,            65641,         60120824464941, A,      A,    40,    10000000000, 12,   53693
18711673222400000000000, 1673208004685666247, 0,           1,            65641,         60120693817511, A,      A,    40,    10125000000, 10,   53693
18721673222400000000000, 1673208004685666247, 0,           1,            65641,         60120823563265, A,      A,    40,    10250000000, 2,    53693
18731673222400000000000, 1673208004685666247, 0,           1,            65641,         60120668509587, A,      A,    40,    10375000000, 49,   53693
18741673222400000000000, 1673208004685666247, 0,           1,            65641,         60120668542138, A,      A,    40,    10375000000, 49,   53693
18751673222400000000000, 1673208004685666247, 0,           1,            65641,         60120668601614, A,      A,    40,    10375000000, 49,   53693
18761673222400000000000, 1673208004685666247, 0,           1,            65641,         60120668646765, A,      A,    40,    10375000000, 49,   53693
18771673222400000000000, 1673208004685666247, 0,           1,            65641,         60120668725293, A,      A,    40,    10375000000, 26,   53693
18781673222400000000000, 1673208004685666247, 0,           1,            65641,         60120708110608, A,      A,    40,    10500000000, 10,   53693
18791673222400000000000, 1673208004685666247, 0,           1,            65641,         60120700806766, A,      A,    40,    10625000000, 2,    53693
18801673222400000000000, 1673208004685666247, 0,           1,            65641,         60117395809753, A,      A,    40,    44000000000, 4,    53693
18811673222400000000000, 1673208004685666247, 0,           1,            66668,         60121080110800, A,      B,    40,    500000000,   5,    53669
18821673222400000000000, 1673208004685666247, 0,           1,            66668,         60122834279638, A,      A,    40,    7000000000,  2,    53669
18831673222400000000000, 1673208004685666247, 0,           1,            66668,         60122712466779, A,      A,    40,    8750000000,  1,    53669
18841673222400000000000, 1673208004685666247, 0,           1,            66668,         60122712517330, A,      A,    40,    9750000000,  1,    53669
18851673222400000000000, 1673208004685666247, 0,           1,            66668,         60122712643639, A,      A,    40,    10750000000, 1,    53669
1886`,clt={code:`import databento as db
1887client = db.Historical('YOUR_API_KEY')
1888
1889data = client.timeseries.get_range(
1890    dataset='${uS}',
1891    schema='mbo',
1892    start='${dS}',
1893    end='${fS}',
1894    limit=${pS},
1895)
1896
1897data.replay(print)`,output:hS},ult={code:`use std::num::NonZeroU64;
1898
1899use databento::{
1900    dbn::{MboMsg, Schema},
1901    historical::timeseries::GetRangeParams,
1902    HistoricalClient, Symbols,
1903};
1904use time::macros::datetime;
1905
1906#[tokio::main]
1907async fn main() -> anyhow::Result<()> {
1908    let mut client = HistoricalClient::builder().key("$YOUR_API_KEY")?.build()?;
1909    let mut decoder = client
1910        .timeseries()
1911        .get_range(
1912            &GetRangeParams::builder()
1913                .dataset("${uS}")
1914                .schema(Schema::Mbo)

1915                .symbols(Symbols::All)
1916                .date_time_range((
1917                    datetime!(${dS.replace("T"," ")} UTC),
1918                    datetime!(${fS.replace("T"," ")} UTC),
1919                ))
1920                .limit(NonZeroU64::new(${pS}))
1921                .build(),
1922        )
1923        .await?;
1924    while let Some(mbo) = decoder.decode_record::<MboMsg>().await? {
1925        println!("{mbo:?}");
1926    }
1927    Ok(())
1928}`,output:hS},dlt={code:`#include <databento/dbn.hpp>
1929#include <databento/historical.hpp>
1930#include <databento/symbol_map.hpp>
1931#include <iostream>
1932
1933using namespace databento;
1934
1935int main() {
1936  auto client =
1937      HistoricalBuilder{}.SetKey("$YOUR_API_KEY").Build();
1938  client.TimeseriesGetRange(
1939      "${uS}", {"${dS}", "${fS}"},
1940      kAllSymbols, Schema::Mbo, SType::RawSymbol,
1941      SType::InstrumentId, ${pS}, {}, [](const Record& record) {
1942        const auto& mbo_msg = record.Get<MboMsg>();
1943        std::cout << mbo_msg << '\\n';
1944        return KeepGoing::Continue;
1945      });
1946}`,output:hS},flt={code:`curl -X POST https://hist.databento.com/v0/timeseries.get_range \\
1947    -u YOUR_API_KEY: \\
1948    -d 'dataset=${uS}' \\
1949    -d 'schema=MBO' \\
1950    -d 'start=${dS}' \\
1951    -d 'end=${fS}' \\
1952    -d 'limit=${pS}'`,output:hS},plt={key:"full_exchange",title:"Full exchange order book replay",snippets:{python:clt,rust:ult,curl:flt,cpp:dlt}},hlt={code:`import databento as db
1953client = db.Historical('YOUR_API_KEY')
1954
1955data = client.timeseries.get_range(
1956    dataset='GLBX.MDP3',
1957    schema='definition',
1958    symbols='ES.FUT',
1959    stype_in='parent',
1960    start='2023-01-09',
1961    end='2023-01-10',
1962)
1963
1964df = data.to_df()
1965data = client.timeseries.get_range(
1966    dataset='GLBX.MDP3',
1967    schema='definition',
1968    symbols='ES.FUT',
1969    stype_in='parent',
1970    start='2023-01-09',
1971    end='2023-01-10',
1972)
1973
1974df = data.to_df()
1975data = client.timeseries.get_range(
1976    dataset='GLBX.MDP3',
1977    schema='definition',
1978    symbols='ES.FUT',
1979    stype_in='parent',
1980    start='2023-01-09',
1981    end='2023-01-10',
1982)
1983
1984df = data.to_df()
1985data = client.timeseries.get_range(
1986    dataset='GLBX.MDP3',
1987    schema='definition',
1988    symbols='ES.FUT',
1989    stype_in='parent',
1990    start='2023-01-09',
1991    end='2023-01-10',
1992)
1993
1994df = data.to_df()
1995
1996df.set_index("expiration", inplace=True)
1997df.sort_index(inplace=True)
1998print(df[["instrument_id", "symbol"]])`,output:`expiration                 instrument_id     symbol
19992023-03-17 13:30:00+00:00          20604  ESH3-ESU3
20002023-03-17 13:30:00+00:00          44442  ESH3-ESH4
20012023-03-17 13:30:00+00:00          16567  ESH3-ESZ3
20022023-03-17 13:30:00+00:00         206299       ESH3
20032023-03-17 13:30:00+00:00          16567  ESH3-ESZ3
2004...                                  ...        ...
20052025-12-19 14:30:00+00:00         294973       ESZ5
20062026-12-18 14:30:00+00:00          10252       ESZ6
20072026-12-18 14:30:00+00:00          10252       ESZ6
20082027-12-17 14:30:00+00:00          17740       ESZ7
20092027-12-17 14:30:00+00:00          17740       ESZ7
2010
2011[64 rows x 2 columns]`},mlt={key:"instrument_definitions",title:"Instrument definitions",snippets:{python:hlt}},glt={code:`import databento as db
2012client = db.Historical('YOUR_API_KEY')
2013
2014data = client.timeseries.get_range(
2015    dataset='GLBX.MDP3',
2016    schema='ohlcv-1m',
2017    symbols='ESH3',
2018    start='2023-01-09T00:00',
2019    end='2023-01-09T20:00',
2020)
2021
2022df = data.to_df()
2023df["pvt"] = (
2024    df[["open", "high", "close"]].mean(axis=1) * df["volume"]
2025)
2026df["vwap"] = df["pvt"].cumsum() / df["volume"].cumsum()
2027
2028print(df[["symbol", "vwap"]])`,output:`ts_event                    symbol       vwap

20292023-01-09 00:00:00+00:00   ESH3  3923.166667
20302023-01-09 00:01:00+00:00   ESH3  3923.106645
20312023-01-09 00:02:00+00:00   ESH3  3923.032401
20322023-01-09 00:03:00+00:00   ESH3  3923.002160
20332023-01-09 00:04:00+00:00   ESH3  3922.977669
2034...                          ...          ...
20352023-01-09 19:56:00+00:00   ESH3  3948.848767
20362023-01-09 19:57:00+00:00   ESH3  3948.798732
20372023-01-09 19:58:00+00:00   ESH3  3948.672098
20382023-01-09 19:59:00+00:00   ESH3  3948.453872
20392023-01-09 20:00:00+00:00   ESH3  3948.334908
2040
2041[1201 rows x 2 columns]`},vlt={key:"pandas_vwap",title:"Pandas VWAP",snippets:{python:glt}},ylt=[plt,llt,mlt,vlt],aae=({color:t,size:e,...n})=>qe(i.jsxs("svg",{xmlns:"http://www.w3.org/2000/svg",fill:"none",viewBox:"0 0 24 25",...n,children:[i.jsx("g",{clipPath:"url(#play-arrow_svg__a)",children:i.jsx("path",{fill:"currentColor",d:"M10.49 7.658c-.647-.426-1.49.06-1.49.858v7.968c0 .798.843 1.284 1.49.858l6.056-3.984c.605-.398.605-1.318 0-1.716z"})}),i.jsx("defs",{children:i.jsx("clipPath",{id:"play-arrow_svg__a",children:i.jsx("path",{fill:"#fff",d:"M0 .5h24v24H0z"})})})]}),{color:t,size:e,...n});aae.displayName="PlayArrow";const sae=({color:t,size:e,...n})=>qe(i.jsxs("svg",{xmlns:"http://www.w3.org/2000/svg",fill:"none",viewBox:"0 0 24 24",...n,children:[i.jsx("g",{clipPath:"url(#redo_svg__a)",children:i.jsx("path",{fill:"currentColor",d:"M15.53 8.469A4.995 4.995 0 0 0 7 12a4.995 4.995 0 0 0 9.831 1.25h-1.3a3.75 3.75 0 0 1-3.534 2.5A3.754 3.754 0 0 1 8.245 12a3.754 3.754 0 0 1 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i.jsx(kdt,{...s,...a,ref:n})},"DropdownMenuItem")),Ydt=v.forwardRef(ac(function(e,n){const{__scopeDropdownMenu:r,...a}=e,s=sc(r);return i.jsx(Rdt,{...s,...a,ref:n})},"DropdownMenuCheckboxItem")),Xdt=v.forwardRef(ac(function(e,n){const{__scopeDropdownMenu:r,...a}=e,s=sc(r);return i.jsx(Ndt,{...s,...a,ref:n})},"DropdownMenuRadioItem")),Kdt=v.forwardRef(ac(function(e,n){const{__scopeDropdownMenu:r,...a}=e,s=sc(r);return i.jsx(Ddt,{...s,...a,ref:n})},"DropdownMenuItemIndicator")),Zdt=v.forwardRef(ac(function(e,n){const{__scopeDropdownMenu:r,...a}=e,s=sc(r);return i.jsx(Pdt,{...s,...a,ref:n})},"DropdownMenuSeparator")),Jdt=v.forwardRef(ac(function(e,n){const{__scopeDropdownMenu:r,...a}=e,s=sc(r);return i.jsx(Odt,{...s,...a,ref:n})},"DropdownMenuSubTrigger")),Qdt=v.forwardRef(ac(function(e,n){const{__scopeDropdownMenu:r,...a}=e,s=sc(r);return 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