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1<meta name="next-size-adjust" content=""/><title>About Convrgent — Personality Intelligence for AI Agents</title><meta name="description" content="Built on 11 personality frameworks and decades of research. Heuristic engines, no LLM dependency. Learn how Convrgent makes every AI agent relationship-aware."/><link rel="canonical" href="https://convrgent.ai/about"/><meta property="og:title" content="About Convrgent — Personality Intelligence for AI Agents"/><meta property="og:description" content="Built on 11 personality frameworks and decades of research. Heuristic engines, no LLM dependency."/><meta property="og:url" content="https://convrgent.ai/about"/><meta property="og:image" content="https://convrgent.ai/opengraph-image.png"/><meta property="og:image:width" content="1200"/><meta property="og:image:height" content="630"/><meta property="og:type" content="website"/><meta name="twitter:card" content="summary_large_image"/><meta name="twitter:title" content="About Convrgent"/><meta name="twitter:description" content="Built on 11 personality frameworks. Heuristic engines, no LLM dependency."/><meta name="twitter:image" content="https://convrgent.ai/opengraph-image.png"/><link rel="icon" href="/favicon.ico" type="image/x-icon" sizes="32x32"/><link rel="icon" href="/icon.svg" type="image/svg+xml"/><link rel="icon" href="/favicon.ico" sizes="32x32"/><link rel="icon" href="/icon-512.png" sizes="512x512" type="image/png"/><link rel="apple-touch-icon" href="/apple-icon.png"/>
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1<div style="background:#0d0b14;min-height:100vh;color:#f1f0f3"><nav style="position:fixed;top:0;left:0;right:0;z-index:100;padding:16px 40px;display:flex;align-items:center;justify-content:space-between;background:rgba(13, 11, 20, 0.5);backdrop-filter:blur(20px);-webkit-backdrop-filter:blur(20px);border-bottom:1px solid transparent;transition:all 0.3s"><a style="display:flex;align-items:center;gap:10px;text-decoration:none" href="/"><svg width="28" height="22" viewBox="0 0 28 22" fill="none"><path d="M14 22L4 4L0 8L14 22Z" fill="url(#alg1)"></path><path d="M14 22L24 4L28 8L14 22Z" fill="url(#alg2)"></path><path d="M14 22L8 0L14 6L20 0L14 22Z" fill="url(#alg3)" opacity="0.7"></path><defs><linearGradient id="alg1" x1="0" y1="4" x2="14" y2="22" gradientUnits="userSpaceOnUse"><stop stop-color="#c084fc"></stop><stop offset="1" stop-color="#a855f7"></stop></linearGradient><linearGradient id="alg2" x1="28" y1="4" x2="14" y2="22" gradientUnits="userSpaceOnUse"><stop stop-color="#a855f7"></stop><stop offset="1" stop-color="#7c3aed"></stop></linearGradient><linearGradient id="alg3" x1="14" y1="0" x2="14" y2="22" gradientUnits="userSpaceOnUse"><stop stop-color="#e9d5ff"></stop><stop offset="1" stop-color="#a855f7"></stop></linearGradient></defs></svg><span style="font-family:&#x27;Outfit&#x27;, system-ui, sans-serif;font-size:18px;font-weight:500;color:#f1f0f3;letter-spacing:1px">convrgent</span></a><div style="display:flex;gap:32px;align-items:center"><a style="font-family:&#x27;Outfit&#x27;, system-ui, sans-serif;font-size:14px;font-weight:400;color:#9891a5;text-decoration:none;transition:color 0.2s" href="/products">Products</a><a style="font-family:&#x27;Outfit&#x27;, system-ui, sans-serif;font-size:14px;font-weight:400;color:#9891a5;text-decoration:none;transition:color 0.2s" href="/docs">API Docs</a></div></nav><main><section style="padding:100px 0;padding-top:160px"><div style="width:90%;max-width:900px;margin:0 auto;padding:0 20px;box-sizing:border-box"><div style="opacity:0;transform:translateY(24px);transition:opacity 0.6s ease-out, transform 0.6s ease-out"><div style="display:inline-block;font-family:&#x27;JetBrains Mono&#x27;, &#x27;Space Mono&#x27;, monospace;font-size:12px;color:#a855f7;background:rgba(168, 85, 247, 0.15);border:1px solid rgba(168, 85, 247, 0.3);border-radius:20px;padding:6px 16px;margin-bottom:32px;letter-spacing:1.5px;text-transform:uppercase">About</div><h1 style="font-family:&#x27;Outfit&#x27;, system-ui, sans-serif;font-size:clamp(36px, 5vw, 56px);font-weight:700;color:#f1f0f3;line-height:1.15;margin:0 0 16px">About Convrgent</h1><p style="font-family:&#x27;Outfit&#x27;, system-ui, sans-serif;font-size:clamp(17px, 1.5vw, 21px);color:#c084fc;line-height:1.6;margin:0 0 48px;max-width:700px">Personality intelligence infrastructure for the agentic economy</p><p style="font-family:&#x27;Outfit&#x27;, system-ui, sans-serif;font-size:17px;color:#9891a5;line-height:1.8;margin:0 0 20px">Convrgent was founded by Viktor — a solo founder building at the intersection of personality science and the agentic internet. The thesis is simple: AI agents that understand human personality outperform those that don&#x27;t. They communicate better, sell better, coach better, and build trust faster. Every interaction between an AI agent and a human is a relationship — and relationships improve when you understand the person on the other side.</p><p style="font-family:&#x27;Outfit&#x27;, system-ui, sans-serif;font-size:17px;color:#9891a5;line-height:1.8;margin:0 0 20px">We&#x27;re building the intelligence layer that makes every AI agent relationship-aware. Our engines combine deterministic heuristic scoring with LLM verification — fast pattern matching first, then a language model reviews and refines the result. When an agent calls a Convrgent endpoint, it gets back structured personality intelligence — cognitive type, communication preferences, decision-making style, emotional patterns, cultural context — benchmarked against academic datasets, with every result verified. That reliability is the foundation everything else is built on.
1</p><p style="font-family:&#x27;Outfit&#x27;, system-ui, sans-serif;font-size:17px;color:#9891a5;line-height:1.8;margin:0 0 20px">The vision is an agentic economy where AI agents don&#x27;t treat every human the same. Where a coaching agent adapts its style to your personality type. Where a sales agent frames its pitch based on your actual decision-making patterns. Where a negotiation agent understands your conflict style before the conversation starts. Convrgent provides the personality data layer that makes this possible — as a set of <a style="color:#c084fc;text-decoration:none;border-bottom:1px solid #7c3aed;transition:color 0.2s" href="/docs">45 API endpoints</a>, each powered by research-backed frameworks and available for instant pay-per-call access.</p></div></div></section><section style="padding:100px 0;background:#13111c"><div style="width:90%;max-width:900px;margin:0 auto;padding:0 20px;box-sizing:border-box"><div style="opacity:0;transform:translateY(24px);transition:opacity 0.6s ease-out, transform 0.6s ease-out"><div style="width:60px;height:2px;margin:0 auto;background:linear-gradient(90deg, transparent, #7c3aed, transparent)"></div><div style="height:48px"></div><h2 style="font-family:&#x27;Outfit&#x27;, system-ui, sans-serif;font-size:clamp(28px, 3vw, 40px);font-weight:600;color:#f1f0f3;margin:0 0 16px;line-height:1.2">What frameworks does Convrgent use?</h2><p style="font-family:&#x27;Outfit&#x27;, system-ui, sans-serif;font-size:17px;color:#9891a5;line-height:1.8;margin:0 0 20px">Convrgent&#x27;s intelligence layer draws on 11 personality and communication frameworks, each with distinct academic or empirical lineage. These aren&#x27;t buzzwords — they&#x27;re structured systems with documented research histories, ranging from peer-reviewed psychology to millennia-old metaphysical traditions. We chose these specific frameworks because together they capture personality from every angle: cognitive patterns, emotional motivations, energetic dispositions, cultural context, and communication style.</p><ul style="list-style:none;padding:0;display:flex;flex-direction:column;gap:24px;margin-top:40px"><li style="padding:24px 28px;background:#0d0b14;border:1px solid rgba(168, 85, 247, 0.12);border-radius:12px;border-left:3px solid #a855f7"><h3 style="font-family:&#x27;Outfit&#x27;, system-ui, sans-serif;font-size:18px;font-weight:600;color:#f1f0f3;margin:0 0 8px">16 Personality Types</h3><p style="font-family:&#x27;Outfit&#x27;, system-ui, sans-serif;font-size:15px;color:#9891a5;line-height:1.7;margin:0">Based on Carl Jung&#x27;s theory of psychological types (1921), developed by Isabel Briggs Myers and Katharine Cook Briggs. Four dichotomies produce 16 cognitive types, each with a distinct function stack governing perception and judgment. The most widely recognized personality framework worldwide, with over 50 million assessments administered annually.</p></li><li style="padding:24px 28px;background:#0d0b14;border:1px solid rgba(168, 85, 247, 0.12);border-radius:12px;border-left:3px solid #c084fc"><h3 style="font-family:&#x27;Outfit&#x27;, system-ui, sans-serif;font-size:18px;font-weight:600;color:#f1f0f3;margin:0 0 8px">Socionics</h3><p style="font-family:&#x27;Outfit&#x27;, system-ui, sans-serif;font-size:15px;color:#9891a5;line-height:1.7;margin:0">Founded by Lithuanian sociologist Aushra Augustinavichyute in the 1970s, Socionics extends Jung&#x27;s typology into a system of intertype relations. It maps how 16 types interact with each other — predicting communication friction, natural alliances, and supervisory dynamics. Particularly valuable for team composition and compatibility analysis.</p></li><li style="padding:24px 28px;background:#0d0b14;border:1px solid rgba(168, 85, 247, 0.12);border-radius:12px;border-left:3px solid #f0c040"><h3 style="font-family:&#x27;Outfit&#x27;, system-ui, sans-serif;font-size:18px;font-weight:600;color:#f1f0f3;margin:0 0 8px">Enneagram</h3><p style="font-family:&#x27;Outfit&#x27;, system-ui, sans-serif;font-size:15px;color:#9891a5;line-height:1.7;margin:0">
1Rooted in the work of Oscar Ichazo (Arica Institute) and Claudio Naranjo (Stanford), the Enneagram maps 9 core motivations with 18 wing variants, 3 instinctual subtypes (self-preservation, sexual, social), and integration/disintegration paths. It reveals why people do what they do — the motivational layer beneath observable behavior.</p></li><li style="padding:24px 28px;background:#0d0b14;border:1px solid rgba(168, 85, 247, 0.12);border-radius:12px;border-left:3px solid #10b981"><h3 style="font-family:&#x27;Outfit&#x27;, system-ui, sans-serif;font-size:18px;font-weight:600;color:#f1f0f3;margin:0 0 8px">OCEAN / Big Five</h3><p style="font-family:&#x27;Outfit&#x27;, system-ui, sans-serif;font-size:15px;color:#9891a5;line-height:1.7;margin:0">Developed by Costa and McCrae (1992), the Big Five is the most empirically validated personality model in academic psychology. Five dimensions — Openness, Conscientiousness, Extraversion, Agreeableness, Neuroticism — have been replicated across cultures, languages, and age groups. It forms the quantitative backbone of our psychological profiling engine.</p></li><li style="padding:24px 28px;background:#0d0b14;border:1px solid rgba(168, 85, 247, 0.12);border-radius:12px;border-left:3px solid #f97316"><h3 style="font-family:&#x27;Outfit&#x27;, system-ui, sans-serif;font-size:18px;font-weight:600;color:#f1f0f3;margin:0 0 8px">Human Design</h3><p style="font-family:&#x27;Outfit&#x27;, system-ui, sans-serif;font-size:15px;color:#9891a5;line-height:1.7;margin:0">Synthesized by Ra Uru Hu in 1987, Human Design combines the I Ching, astrology, the Kabbalah Tree of Life, and the Hindu-Brahmin chakra system into a single bodygraph. It maps energy types (Generator, Projector, Manifestor, Reflector), decision-making authority, and 64 gates across 9 centers. Requires precise birth time and location for accurate calculation.</p></li><li style="padding:24px 28px;background:#0d0b14;border:1px solid rgba(168, 85, 247, 0.12);border-radius:12px;border-left:3px solid #c084fc"><h3 style="font-family:&#x27;Outfit&#x27;, system-ui, sans-serif;font-size:18px;font-weight:600;color:#f1f0f3;margin:0 0 8px">Natal Chart (Western Astrology)</h3><p style="font-family:&#x27;Outfit&#x27;, system-ui, sans-serif;font-size:15px;color:#9891a5;line-height:1.7;margin:0">Calculated using the Swiss Ephemeris engine in Moshier ephemeris mode (0.1 arcsecond precision, no external data files). Planetary positions, house placements, aspects, Sun/Moon/Rising signs, and interpretive overlays. The chart provides dispositional tendencies — Venus and Mercury positions are particularly useful for communication and aesthetic preferences.</p></li><li style="padding:24px 28px;background:#0d0b14;border:1px solid rgba(168, 85, 247, 0.12);border-radius:12px;border-left:3px solid #f0c040"><h3 style="font-family:&#x27;Outfit&#x27;, system-ui, sans-serif;font-size:18px;font-weight:600;color:#f1f0f3;margin:0 0 8px">Chinese Astrology / BaZi</h3><p style="font-family:&#x27;Outfit&#x27;, system-ui, sans-serif;font-size:15px;color:#9891a5;line-height:1.7;margin:0">The Four Pillars of Destiny (BaZi) is a 2,000-year-old Chinese metaphysical system that maps a person&#x27;s energetic blueprint through Heavenly Stems and Earthly Branches. Day Master analysis reveals elemental balance and personality structure. Used across East Asia for business partnerships, career guidance, and relationship compatibility.</p></li><li style="padding:24px 28px;background:#0d0b14;border:1px solid rgba(168, 85, 247, 0.12);border-radius:12px;border-left:3px solid #10b981"><h3 style="font-family:&#x27;Outfit&#x27;, system-ui, sans-serif;font-size:18px;font-weight:600;color:#f1f0f3;margin:0 0 8px">Vedic Astrology / Jyotish</h3><p style="font-family:&#x27;Outfit&#x27;, system-ui, sans-serif;font-size:15px;color:#9891a5;line-height:1.7;margin:0">A 5,000-year-old Indian tradition using the sidereal zodiac (approximately 24 degrees offset from tropical). Our engine calculates Nakshatras (27 lunar mansions), Vimshottari Dasha (planetary period system), and key Yogas. Supports Lahiri, Krishnamurti, and Raman ayanamsa calculations for precision across different Jyotish schools.</p></li><li style="padding:24px 28px;background:#0d0b14;border:1px solid rgba(168, 85, 247, 0.12);border-radius:12px;border-left:3px solid #a855f7"><h3 style="font-family:&#x27;Outfit&#x27;, system-ui, sans-serif;font-size:18px;font-weight:600;color:#f1f0f3;margin:0 0 8px">Numerology</h3><p style="font-family:&#x27;Outfit&#x27;, system-ui, sans-serif;font-size:15px;color:#9891a5;line-height:1.7;margin:0">
1Implements both Pythagorean and Chaldean systems. Life Path, Expression, Soul Urge, Birthday Number, Personal Year, and Personal Month calculations, plus karmic debt detection (13, 14, 16, 19). Numerology provides a fast, low-input signal — only a birth date and optionally a name are needed.</p></li><li style="padding:24px 28px;background:#0d0b14;border:1px solid rgba(168, 85, 247, 0.12);border-radius:12px;border-left:3px solid #f97316"><h3 style="font-family:&#x27;Outfit&#x27;, system-ui, sans-serif;font-size:18px;font-weight:600;color:#f1f0f3;margin:0 0 8px">Communication Style</h3><p style="font-family:&#x27;Outfit&#x27;, system-ui, sans-serif;font-size:15px;color:#9891a5;line-height:1.7;margin:0">Built on six communication science theories: Communication Accommodation Theory (CAT), Elaboration Likelihood Model (ELM), Nonviolent Communication (NVC), Motivational Interviewing (MI), Politeness Theory, and Emotional Intelligence frameworks. Analyzes tone, directness, formality, persuasion triggers, and trust-building patterns from text samples.</p></li><li style="padding:24px 28px;background:#0d0b14;border:1px solid rgba(168, 85, 247, 0.12);border-radius:12px;border-left:3px solid #c084fc"><h3 style="font-family:&#x27;Outfit&#x27;, system-ui, sans-serif;font-size:18px;font-weight:600;color:#f1f0f3;margin:0 0 8px">Psychological Dimensions</h3><p style="font-family:&#x27;Outfit&#x27;, system-ui, sans-serif;font-size:15px;color:#9891a5;line-height:1.7;margin:0">12 custom dimensions with OCEAN mapping, attachment style analysis (secure, anxious, avoidant, disorganized), risk tolerance, cognitive style, locus of control, and authority orientation. Each dimension uses weighted multi-signal scoring: text analysis (40%), behavioral observations (30%), natal data (20%), demographic context (10%).</p></li></ul><div style="margin-top:48px;padding:24px 28px;background:rgba(168, 85, 247, 0.06);border:1px solid rgba(168, 85, 247, 0.12);border-radius:12px"><p style="font-family:&#x27;Outfit&#x27;, system-ui, sans-serif;font-size:15px;color:#9891a5;line-height:1.7;margin:0"><strong style="color:#f1f0f3">Key research finding:</strong> A study by Matz, Kosinski, Nave, and Stillwell (2017), published in the <em>Proceedings of the National Academy of Sciences</em>, found that personality-matched messaging produced 40% more clicks and 50% more purchases compared to generic messaging. This is the empirical foundation for why personality intelligence matters in agent-human interactions.<!-- --> <a href="https://doi.org/10.1073/pnas.1710966114" target="_blank" rel="noopener noreferrer" style="color:#c084fc;text-decoration:none;border-bottom:1px solid #7c3aed;transition:color 0.2s">Read the paper (DOI: 10.1073/pnas.1710966114)</a></p></div></div></div></section><section style="padding:100px 0"><div style="width:90%;max-width:900px;margin:0 auto;padding:0 20px;box-sizing:border-box"><div style="opacity:0;transform:translateY(24px);transition:opacity 0.6s ease-out, transform 0.6s ease-out"><div style="width:60px;height:2px;margin:0 auto;background:linear-gradient(90deg, transparent, #7c3aed, transparent)"></div><div style="height:48px"></div><h2 style="font-family:&#x27;Outfit&#x27;, system-ui, sans-serif;font-size:clamp(28px, 3vw, 40px);font-weight:600;color:#f1f0f3;margin:0 0 16px;line-height:1.2">How do Convrgent&#x27;s engines work?</h2><p style="font-family:&#x27;Outfit&#x27;, system-ui, sans-serif;font-size:17px;color:#9891a5;line-height:1.8;margin:0 0 20px">Most personality tools on the market are thin wrappers around large language models — they send a prompt, get back prose, and call it analysis. Convrgent takes a fundamentally different approach: deterministic heuristic engines handle the fast, structured scoring, then an LLM verification layer reviews and refines the typing. The heuristic provides speed and consistency. The LLM provides the contextual understanding that word-counting can&#x27;t reach. Together, they produce results benchmarked at 73% MBTI exact match, 60% Socionics, and 84% Enneagram — significantly above what either approach achieves alone.</p><ol style="list-style:none;padding:0;display:flex;flex-direction:column;gap:32px;margin-top:40px"><li style="display:flex;gap:20px;align-items:flex-start"><div style="min-width:40px;height:40px;border-radius:10px;background:rgba(168, 85, 247, 0.15);border:1px solid rgba(168, 85, 247, 0.25);display:flex;align-items:center;justify-content:center;font-family:&#x27;JetBrains Mono&#x27;, &#x27;Space Mono&#x27;, monospace;font-size:14px;color:#a855f7;font-weight:600">1</div><div><h3 style="font-family:&#x27;Outfit&#x27;, system-ui, sans-serif;font-size:18px;font-weight:600;color:#f1f0f3;margin:0 0 8px">Heuristic-first, LLM-verified</h3><p style="font-family:&#x27;Outfit&#x27;, system-ui, sans-serif;font-size:15px;color:#9891a5;line-height:1.7;margin:0">Every text-based typing call runs through a deterministic heuristic engine first — TF-IDF learned weights trained on academic datasets, structural pattern matching, and multi-signal weighted scoring. Then a language model (Claude Sonnet) reviews the result against the actual text and confirms or adju
1sts the typing. If the LLM is unavailable, the heuristic result returns instantly as fallback. This hybrid approach achieves 73% MBTI accuracy — up from 48% heuristic-only.</p></div></li><li style="display:flex;gap:20px;align-items:flex-start"><div style="min-width:40px;height:40px;border-radius:10px;background:rgba(168, 85, 247, 0.15);border:1px solid rgba(168, 85, 247, 0.25);display:flex;align-items:center;justify-content:center;font-family:&#x27;JetBrains Mono&#x27;, &#x27;Space Mono&#x27;, monospace;font-size:14px;color:#a855f7;font-weight:600">2</div><div><h3 style="font-family:&#x27;Outfit&#x27;, system-ui, sans-serif;font-size:18px;font-weight:600;color:#f1f0f3;margin:0 0 8px">Multi-signal weighted scoring</h3><p style="font-family:&#x27;Outfit&#x27;, system-ui, sans-serif;font-size:15px;color:#9891a5;line-height:1.7;margin:0">We use weighted scoring across multiple signal types: text analysis (40%), behavioral observations (30%), natal/birth data (20%), and demographic context (10%). Each signal contributes to the final profile proportionally to its reliability. Text — what people actually write — carries the most weight. Natal data adds dispositional tendencies. Observations from the calling agent provide behavioral context. Signal strength is reported on every response so agents know exactly how reliable the result is.</p></div></li><li style="display:flex;gap:20px;align-items:flex-start"><div style="min-width:40px;height:40px;border-radius:10px;background:rgba(168, 85, 247, 0.15);border:1px solid rgba(168, 85, 247, 0.25);display:flex;align-items:center;justify-content:center;font-family:&#x27;JetBrains Mono&#x27;, &#x27;Space Mono&#x27;, monospace;font-size:14px;color:#a855f7;font-weight:600">3</div><div><h3 style="font-family:&#x27;Outfit&#x27;, system-ui, sans-serif;font-size:18px;font-weight:600;color:#f1f0f3;margin:0 0 8px">Benchmarked against real data</h3><p style="font-family:&#x27;Outfit&#x27;, system-ui, sans-serif;font-size:15px;color:#9891a5;line-height:1.7;margin:0">Every engine is measured against academic datasets — Kaggle MBTI (1,735 labeled users), Pandora Big Five (5,000 Reddit users), and Pennebaker Essays. We track exact type match, per-dichotomy accuracy, Pearson correlation, and accumulation curves showing how accuracy improves with more text. These benchmarks run after every change. The numbers are the source of truth — if they don&#x27;t improve, the change doesn&#x27;t ship.</p></div></li><li style="display:flex;gap:20px;align-items:flex-start"><div style="min-width:40px;height:40px;border-radius:10px;background:rgba(168, 85, 247, 0.15);border:1px solid rgba(168, 85, 247, 0.25);display:flex;align-items:center;justify-content:center;font-family:&#x27;JetBrains Mono&#x27;, &#x27;Space Mono&#x27;, monospace;font-size:14px;color:#a855f7;font-weight:600">4</div><div><h3 style="font-family:&#x27;Outfit&#x27;, system-ui, sans-serif;font-size:18px;font-weight:600;color:#f1f0f3;margin:0 0 8px">Convergence across frameworks</h3><p style="font-family:&#x27;Outfit&#x27;, system-ui, sans-serif;font-size:15px;color:#9891a5;line-height:1.7;margin:0">The engines can run independently or converge. The Convergence endpoint maps 24 canonical personality traits across all 11 frameworks, surfacing agreements (when multiple frameworks point to the same trait) and tensions (when frameworks disagree). This cross-system synthesis is unique to Convrgent — no other API offers it. When frameworks converge on a trait, confidence goes up. When they diverge, that tension itself is informative.</p></div></li></ol><p style="font-family:&#x27;Outfit&#x27;, system-ui, sans-serif;font-size:17px;color:#9891a5;line-height:1.8;margin:0 0 20px;margin-top:40px">The result is an intelligence layer that agents can trust. Whether you&#x27;re building a <a style="color:#c084fc;text-decoration:none;border-bottom:1px solid #7c3aed;transition:color 0.2s" href="/kyh">personality profiler</a>, a <a style="color:#c084fc;text-decoration:none;border-bottom:1px solid #7c3aed;transition:color 0.2s" href="/blah">communication adapter</a>, or a <a style="color:#c084fc;text-decoration:none;border-bottom:1px solid #7c3aed;transition:color 0.2s" href="/kyb">buyer intelligence system</a>, the underlying engines give you consistent, fast, and auditable data. Explore the full <a style="color:#c084fc;text-decoration:none;border-bottom:1px solid #7c3aed;transition:color 0.2s" href="/docs">endpoint catalog</a> or try a <a style="color:#c084fc;text-decoration:none;border-bottom:1px solid #7c3aed;transition:color 0.2s" href="/chart">free birth chart</a> to see the engines in action.</p></div></div></section><section style="padding:100px 0;background:#13111c"><div style="width:90%;max-width:1000px;margin:0 auto;padding:0 20px;box-sizing:border-box"><div style="opacity:0;transform:translateY(24px);transition:opacity 0.6s ease-out, transform 0.6s ease-out"><div style="width:60px;height:2px;margin:0 auto;background:linear-gradient(90deg, transparent, #7c3aed, transparent)"></div><div style="height:48px"></div><h2 style="font-family:&#x27;Outfit&#x27;, system-ui, sans-serif;font-size:clamp(28px, 3vw, 40px);font-weight:600;color:#f1f0f3;margin:0 0 16px;line-height:1.2;text-align:center">Convrgent by the Numbers</h2><p style="font-family:&#x27;Outfit&#x27;, system-ui, sans-serif;font-size:17px;color:#9891a5;line-height:1.8;margin:0 auto 48px;text-align:center;max-width:600px">A snapshot of what we&#x27;ve built — and what agents can access today through <a style="color:#c084fc;text-decoration:none;border-bottom:1px solid #7c3aed;transition:color 0.2s" href="/docs">our API</a>.</p><div style="display:grid;grid-template-columns:repeat(auto-fit, minmax(260px, 1fr));gap:20px"><div style="padding:28px 24px;background:#0d0b14;border:1px solid rgba(168, 85, 247, 0.12);border-radius:12px;text-align:center"><div style="font-family:&#x27;Outfit&#x27;, system-ui, sans-serif;font-size:44px;font-weight:700;color:#a855f7;line-height:1">45</div><div style="font-family:&#x27;Outfit&#x27;, system-ui, sans-serif;font-size:16px;font-weight:600;color:#f1f0f3;margin-top:8px">API Endpoints</div><div style="font-family:&#x27;Outfit&#x27;, system-ui, sans-serif;font-size:13px;color:#5d576b;margin-top:6px;line-height:1.5">Single-human, multi-human, orchestration, communication, and buyer intelligence</div></div><div style="padding:28px 24px;background:#0d0b14;border:1px solid rgba(168, 85, 247, 0.12);border-radius:12px;text-align:center"><div style="font-family:&#x27;Outfit&#x27;, system-ui, sans-serif;font-size:44px;font-weight:700;color:#a855f7;line-height:1">11</div><div style="font-family:&#x27;Outfit&#x27;, system-ui, sans-serif;font-size:16px;font-weight:600;color:#f1f0f3;margin-top:8px">Personality Frameworks</div><div style="font-family:&#x27;Outfit&#x27;, system-ui, sans-serif;font-size:13px;color:#5d576b;margin-top:6px;line-height:1.5">From peer-reviewed psychology to millennia-old metaphysical systems</div></div><div style="padding:28px 24px;background:#0d0b14;border:1px solid rgba(168, 85, 247, 0.12);border-radius:12px;text-align:center"><div style="font-family:&#x27;Outfit&#x27;, system-ui, sans-serif;font-size:44px;font-weight:700;color:#a855f7;line-height:1">73%</div><div style="font-family:&#x27;Outfit&#x27;, system-ui, sans-serif;font-size:16px;font-weight:600;color:#f1f0f3;margin-top:8px">MBTI Accuracy</div><div style="font-family:&#x27;Outfit&#x27;, system-ui, sans-serif;font-size:13px;color:#5d576b;margin-top:6px;line-height:1.5">Benchmarked exact type match — heuristic + LLM verification on Kaggle dataset</div></div><div style="padding:28px 24px;background:#0d0b14;border:1px solid rgba(168, 85, 247, 0.12);border-radius:12px;text-align:center"><div style="font-family:&#x27;Outfit&#x27;, system-ui, sans-serif;font-size:44px;font-weight:700;color:#a855f7;line-height:1">84%</div><div style="font-family:&#x27;Outfit&#x27;, system-ui, sans-serif;font-size:16px;font-weight:600;color:#f1f0f3;margin-top:8px">Enneagram Accuracy</div><div style="font-family:&#x27;Outfit&#x27;, system-ui, sans-serif;font-size:13px;color:#5d576b;margin-top:6px;line-height:1.5">Acceptable type match — OCEAN-derived scoring + LLM verification</div></div><div style="padding:28px 24px;background:#0d0b14;border:1px solid rgba(168, 85, 247, 0.12);border-radius:12px;text-align:center"><div style="font-family:&#x27;Outfit&#x27;, system-ui, sans-serif;font-size:44px;font-weight:700;color:#a855f7;line-height:1">3</div><div style="font-family:&#x27;Outfit&#x27;, system-ui, sans-serif;font-size:16px;font-weight:600;color:#f1f0f3;margin-top:8px">Blockchain Integrations</div><div style="font-family:&#x27;Outfit&#x27;, system-ui, sans-serif;font-size:13px;color:#5d576b;margin-top:6px;line-height:1.5">Base (ERC-8004), Solana, IPFS for agent identity</div></div><div style="padding:28px 24px;background:#0d0b14;border:1px solid rgba(168, 85, 247, 0.12);border-radius:12px;text-align:center"><div style="font-family:&#x27;Outfit&#x27;, system-ui, sans-serif;font-size:44px;font-weight:700;color:#a855f7;line-height:1">~2s</div><div style="font-family:&#x27;Outfit&#x27;, system-ui, sans-serif;font-size:16px;font-weight:600;color:#f1f0f3;margin-top:8px">Response Time</div><div style="font-family:&#x27;Outfit&#x27;, system-ui, sans-serif;font-size:13px;color:#5d576b;margin-top:6px;line-height:1.5">Heuristic scoring + LLM verification — falls back to &lt;100ms on timeout</div></div></div></div></div></section><section style="padding:100px 0"><div style="width:90%;max-width:900px;margin:0 auto;padding:0 20px;box-sizing:border-box"><div style="opacity:0;transform:translateY(24px);transition:opacity 0.6s ease-out, transform 0.6s ease-out"><div style="width:60px;height:2px;margin:0 auto;background:linear-gradient(90deg, transparent, #7c3aed, transparent)"></div><div style="height:48px"></div><h2 style="font-family:&#x27;Outfit&#x27;, system-ui, sans-serif;font-size:clamp(28px, 3vw, 40px);font-weight:600;color:#f1f0f3;margin:0 0 16px;line-height:1.2">Distribution</h2><p style="font-family:&#x27;Outfit&#x27;, system-ui, sans-serif;font-size:17px;color:#9891a5;line-height:1.8;margin:0 0 20px">Convrgent is built for agent-native distribution. Rather than relying on a single marketplace or developer portal, we meet agents where they already are — across every major discovery protocol in the agentic ecosystem.</p><div style="display:flex;flex-direction:column;gap:16px;margin-top:32px"><div style="display:flex;gap:16px;align-items:flex-start;padding:16px 20px;background:#13111c;border:1px solid rgba(168, 85, 247, 0.12);border-radius:10px"><div style="min-width:8px;height:8px;border-radius:50%;background:#a855f7;margin-top:8px"></div><div><span style="font-family:&#x27;Outfit&#x27;, system-ui, sans-serif;font-size:16px;font-weight:600;color:#f1f0f3">x402 Protocol</span><span style="font-family:&#x27;Outfit&#x27;, system-ui, sans-serif;font-size:14px;color:#9891a5;margin-left:8px"> — <!-- -->All 45 endpoints are auto-discoverable and pay-per-call via the x402 payment protocol. Agents pay in USDC on Base or Solana — no API keys, no subscriptions, no accounts.</span></div></div><div style="display:flex;gap:16px;align-items:flex-start;padding:16px 20px;background:#13111c;border:1px solid rgba(168, 85, 247, 0.12);border-radius:10px"><div style="min-width:8px;height:8px;border-radius:50%;background:#a855f7;margin-top:8px"></div><div><span style="font-family:&#x27;Outfit&#x27;, system-ui, sans-serif;font-size:16px;font-weight:600;color:#f1f0f3"><a href="https://www.x402scan.com/server/711909c3-c215-4cf1-976d-cd1e854730b3" target="_blank" rel="noopener noreferrer" style="color:#c084fc;text-decoration:none;border-bottom:1px solid #7c3aed;transition:color 0.2s;font-size:16px">Coinbase Bazaar</a></span><span style="font-family:&#x27;Outfit&#x27;, system-ui, sans-serif;font-size:14px;color:#9891a5;margin-left:8px"> — <!-- -->Listed on x402scan and submitted to CDP Bazaar for automatic agent discovery.</span></div></div><div style="display:flex;gap:16px;align-items:flex-start;padding:16px 20px;background:#13111c;border:1px solid rgba(168, 85, 247, 0.12);border-radius:10px"><div style="min-width:8px;height:8px;border-radius:50%;background:#a855f7;margin-top:8px"></div><div><span style="font-family:&#x27;Outfit&#x27;, system-ui, sans-serif;font-size:16px;font-weight:600;color:#f1f0f3"><a href="https://clawmart.com" target="_blank" rel="noopener noreferrer" style="color:#c084fc;text-decoration:none;border-bottom:1px solid #7c3aed;transition:color 0.2s;font-size:16px">
1ClawMart</a></span><span style="font-family:&#x27;Outfit&#x27;, system-ui, sans-serif;font-size:14px;color:#9891a5;margin-left:8px"> — <!-- -->12 downloadable persona products on the OpenClaw marketplace, from individual personality coaching to full team intelligence stacks.</span></div></div><div style="display:flex;gap:16px;align-items:flex-start;padding:16px 20px;background:#13111c;border:1px solid rgba(168, 85, 247, 0.12);border-radius:10px"><div style="min-width:8px;height:8px;border-radius:50%;background:#a855f7;margin-top:8px"></div><div><span style="font-family:&#x27;Outfit&#x27;, system-ui, sans-serif;font-size:16px;font-weight:600;color:#f1f0f3"><a href="https://github.com/Convrgent" target="_blank" rel="noopener noreferrer" style="color:#c084fc;text-decoration:none;border-bottom:1px solid #7c3aed;transition:color 0.2s;font-size:16px">GitHub</a></span><span style="font-family:&#x27;Outfit&#x27;, system-ui, sans-serif;font-size:14px;color:#9891a5;margin-left:8px"> — <!-- -->Open development. Integration examples, documentation, and product updates.</span></div></div><div style="display:flex;gap:16px;align-items:flex-start;padding:16px 20px;background:#13111c;border:1px solid rgba(168, 85, 247, 0.12);border-radius:10px"><div style="min-width:8px;height:8px;border-radius:50%;background:#a855f7;margin-top:8px"></div><div><span style="font-family:&#x27;Outfit&#x27;, system-ui, sans-serif;font-size:16px;font-weight:600;color:#f1f0f3"><a href="https://x.com/Convrgent_ai" target="_blank" rel="noopener noreferrer" style="color:#c084fc;text-decoration:none;border-bottom:1px solid #7c3aed;transition:color 0.2s;font-size:16px">X / Twitter</a></span><span style="font-family:&#x27;Outfit&#x27;, system-ui, sans-serif;font-size:14px;color:#9891a5;margin-left:8px"> — <!-- -->Product announcements, agentic internet commentary, and founder updates.</span></div></div><div style="display:flex;gap:16px;align-items:flex-start;padding:16px 20px;background:#13111c;border:1px solid rgba(168, 85, 247, 0.12);border-radius:10px"><div style="min-width:8px;height:8px;border-radius:50%;background:#a855f7;margin-top:8px"></div><div><span style="font-family:&#x27;Outfit&#x27;, system-ui, sans-serif;font-size:16px;font-weight:600;color:#f1f0f3">MCP Server</span><span style="font-family:&#x27;Outfit&#x27;, system-ui, sans-serif;font-size:14px;color:#9891a5;margin-left:8px"> — <!-- -->Model Context Protocol server exposing all 45 endpoints as tools. Plug into Claude Desktop, OpenClaw, or any MCP-compatible client.</span></div></div><div style="display:flex;gap:16px;align-items:flex-start;padding:16px 20px;background:#13111c;border:1px solid rgba(168, 85, 247, 0.12);border-radius:10px"><div style="min-width:8px;height:8px;border-radius:50%;background:#a855f7;margin-top:8px"></div><div><span style="font-family:&#x27;Outfit&#x27;, system-ui, sans-serif;font-size:16px;font-weight:600;color:#f1f0f3">A2A Protocol</span><span style="font-family:&#x27;Outfit&#x27;, system-ui, sans-serif;font-size:14px;color:#9891a5;margin-left:8px"> — <!-- -->Agent-to-Agent discovery via the A2A JSON-RPC protocol. Agent card at /.well-known/agent.json with 45 skills.</span></div></div><div style="display:flex;gap:16px;align-items:flex-start;padding:16px 20px;background:#13111c;border:1px solid rgba(168, 85, 247, 0.12);border-radius:10px"><div style="min-width:8px;height:8px;border-radius:50%;background:#a855f7;margin-top:8px"></div><div><span style="font-family:&#x27;Outfit&#x27;, system-ui, sans-serif;font-size:16px;font-weight:600;color:#f1f0f3"><a href="https://www.8004scan.io/agents/base/27418" target="_blank" rel="noopener noreferrer" style="color:#c084fc;text-decoration:none;border-bottom:1px solid #7c3aed;transition:color 0.2s;font-size:16px">ERC-8004</a></span><span style="font-family:&#x27;Outfit&#x27;, system-ui, sans-serif;font-size:14px;color:#9891a5;margin-left:8px"> — <!-- -->On-chain agent identity on Base (Agent ID 27418) and Solana. Verifiable agent card stored on IPFS, referenced from the blockchain.</span></div></div></div><p style="font-family:&#x27;Outfit&#x27;, system-ui, sans-serif;font-size:17px;color:#9891a5;line-height:1.8;margin:0 0 20px;margin-top:40px">For humans, we offer a <a style="color:#c084fc;text-decoration:none;border-bottom:1px solid #7c3aed;transition:color 0.2s" href="/products">product catalog</a> with one-time purchases — no subscriptions. For AI agents, every endpoint is available via pay-per-call in USDC. Try a <a style="color:#c084fc;text-decoration:none;border-bottom:1px solid #7c3aed;transition:color 0.2s" href="/assessment">free personality assessment</a> to experience the frameworks firsthand.</p></div></div></section></main><footer style="padding:40px 0;border-top:1px solid rgba(168, 85, 247, 0.12);text-align:center"><p style="font-family:&#x27;Outfit&#x27;, system-ui, sans-serif;font-size:13px;color:#5d576b;margin:0">2026<!-- --> Convrgent. Personality intelligence for the agentic economy.</p></footer></div><!--$--><!--/$-->
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