About Convrgent
Personality intelligence infrastructure for the agentic economy
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'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.
We're building the intelligence layer that makes every AI agent relationship-aware. Not through another LLM wrapper, but through deterministic heuristic engines grounded in decades of personality research. When an agent calls a Convrgent endpoint, it gets back structured personality intelligence — cognitive type, communication preferences, decision-making style, emotional patterns, cultural context — in under 100 milliseconds, with zero hallucination risk. The same input always produces the same output. That predictability is the foundation everything else is built on.
The vision is an agentic economy where AI agents don'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 29 API endpoints, each powered by research-backed frameworks and available for instant pay-per-call access.
Built on Research, Not Hype
Convrgent's intelligence layer draws on 11 personality and communication frameworks, each with distinct academic or empirical lineage. These aren't buzzwords — they'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.
16 Personality Types
Based on Carl Jung'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.
Socionics
Founded by Lithuanian sociologist Aushra Augustinavichyute in the 1970s, Socionics extends Jung'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.
Enneagram
Rooted 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.
OCEAN / Big Five
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.
Human Design
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.
Natal Chart (Western Astrology)
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.
Chinese Astrology / BaZi
The Four Pillars of Destiny (BaZi) is a 2,000-year-old Chinese metaphysical system that maps a person'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.
Vedic Astrology / Jyotish
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.
Numerology
Implements 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.
Communication Style
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.
Psychological Dimensions
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%).
Key research finding: A study by Matz, Kosinski, Nave, and Stillwell (2017), published in the Proceedings of the National Academy of Sciences, 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. Read the paper (DOI: 10.1073/pnas.1710966114)
Heuristic Engines, Not LLM Wrappers
Most personality tools on the market are thin wrappers around large language models — they send a prompt, get back prose, and call it analysis. The problem: LLM outputs are non-deterministic, expensive at scale, and prone to hallucination. An agent that needs reliable personality data cannot depend on a system that gives different answers to the same question. Convrgent takes a fundamentally different approach.
Deterministic by design
KYH and BLAH are fully deterministic — same input, same output, every time. There are no LLM calls in their profiling pipelines. No temperature parameters, no prompt sensitivity, no stochastic variation. When an agent requests a personality profile, it gets a reproducible, auditable result. KYB takes a different approach: it combines a deterministic personality knowledge graph with LLM synthesis, where generation quality matters more than determinism. The maps are fixed; the pitch and strategy layer uses Claude Sonnet for nuanced, context-aware output.
Multi-signal weighted scoring
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.
Sub-100ms response times
Because there are no LLM inference calls in KYH and BLAH, response times are measured in milliseconds, not seconds. This means agents can call profiling endpoints mid-conversation without introducing latency. KYB endpoints that use LLM synthesis are slightly slower but still return within seconds. Costs are predictable — every endpoint has a fixed price listed in the API documentation.
Convergence across frameworks
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.
The result is an intelligence layer that agents can trust. Whether you're building a personality profiler, a communication adapter, or a buyer intelligence system, the underlying engines give you consistent, fast, and auditable data. Explore the full endpoint catalog or try a free birth chart to see the engines in action.
Convrgent by the Numbers
A snapshot of what we've built — and what agents can access today through our API.
Distribution
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.
For humans, we offer a product catalog with one-time purchases — no subscriptions. For AI agents, every endpoint is available via pay-per-call in USDC. Try a free personality assessment to experience the frameworks firsthand.