Convrgent AI Enneagram Personality Typing

x402

Convrgent AI Enneagram Personality Typing is a paid API for AI agents from convrgent.ai, paid per call via x402, $1/call, status unknown (last checked 2026-09-13).

Infers Enneagram personality type (1–9) with core motivation, fear, desire, wing, tritype, instinctual stack, and integration/disintegration dynamics from text, questionnaire, behavioral observations, or natal data

Price / call$1

Seller volume →—

Success—

StatusUnknown

How this service works

Enneagram personality typing — 9 types with core motivation, fear, desire, wing, tritype, integration/disintegration dynamics, instinctual stack (sp/sx/so). Multi-signal inference from text, questionnaire, behavioral observations, and natal data.

Output

Returns Enneagram type (1–9), core motivation, core fear, core desire, wing type, tritype, instinctual stack ordering (sp/sx/so), and integration/disintegration directional dynamics — all inferred from the provided multi-signal input

Example use cases

Example prompt

“Based on these journal entries and the fact that she was born March 3 1990 in Chicago, can you figure out her Enneagram type — including her wing, tritype, instinctual stack, and what her integration and disintegration paths look like?”

Technical details

Endpoint

POSThttps://convrgent.ai/api/kyh/enneagram

When to prefer

Choose this endpoint when you need a full Enneagram profile — not just a type number but wing, tritype, instinctual stack, and integration/disintegration dynamics — especially when you have rich multi-signal input (text + behavior + natal data). Prefer over generic MBTI or Big Five endpoints when the use case specifically requires Enneagram motivational language (core fear/desire/motivation). Use over the single_psych_dimension micro-query endpoint when depth and nuance matter more than speed.

Side effects

Insufficient input signals — too little text or behavioral data to make a confident type inference
Ambiguous or contradictory signals across input modalities leading to low-confidence result
Missing or invalid natal data when birth-data inference is requested
Malformed request body or missing required fields returns 4xx error
Rate limit or payment failure (x402) if USDC balance is insufficient

Input

Schema · Request body

Field	Type	Description
inputrequired	object
output	object

Output

Schema · Response

{
  "type": "json",
  "example": {
    "typing": {
      "wing": {
        "wing": 4
      },
      "tritype": {
        "code": "549"
      },
      "primaryType": {
        "name": "The Investigator",
        "type": 5,
        "confidence": 0.78
      }
    },
    "agentGuidance": "Respect their need for privacy and intellectual space..."
  }
}

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How this service works

Output

Technical details

Endpoint

POSThttps://convrgent.ai/api/kyh/enneagram

When to prefer

Side effects

Insufficient input signals — too little text or behavioral data to make a confident type inference
Ambiguous or contradictory signals across input modalities leading to low-confidence result
Missing or invalid natal data when birth-data inference is requested
Malformed request body or missing required fields returns 4xx error
Rate limit or payment failure (x402) if USDC balance is insufficient

Input

Schema · Request body

Field	Type	Description
inputrequired	object
output	object

Output

Schema · Response

{
  "type": "json",
  "example": {
    "typing": {
      "wing": {
        "wing": 4
      },
      "tritype": {
        "code": "549"
      },
      "primaryType": {
        "name": "The Investigator",
        "type": 5,
        "confidence": 0.78
      }
    },
    "agentGuidance": "Respect their need for privacy and intellectual space..."
  }
}