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Convrgent.ai Rapport Health Scorer
x402
Convrgent.ai Rapport Health Scorer is a paid API for AI agents from convrgent.ai, paid per call via x402, $0.25/call, status unknown (last checked 2026-09-15).
Scores the health of a conversation relationship in real time, returning trust trajectory, warmth signals, rapport breaks, engagement trend, and repair suggestions from conversation history.
Price / call$0.25
Success—
StatusUnknown
How this service works
Real-time relationship health scoring from conversation history. Trust trajectory, warmth signals, rapport breaks, engagement trend, and repair suggestions. Cheap enough to call every few turns.
Output
Returns a structured rapport health assessment including a numeric or categorical health score, trust trajectory (rising/falling/stable), warmth signal indicators, detected rapport breaks, engagement trend, and actionable repair suggestions — cheap enough to re-call every few conversation turns.
Example use cases
Example prompt
“Score the relationship health of my last 10 messages with this user — I want to see the trust trajectory, any warmth signals, whether there's been a rapport break, the engagement trend, and what repair steps I should take if things have gone cold.”
Technical details
Endpoint
POSThttps://convrgent.ai/api/blah/rapportWhen to prefer
Use this endpoint when you need a lightweight, real-time signal on conversation relationship quality — especially when running an AI agent that manages ongoing human interactions and needs to adapt tone or strategy based on how the relationship is trending. Prefer this over a full psychological profile endpoint when you only need conversational health signals, not deep personality modeling, and when cost per call matters (at $0.01 it's designed to be called frequently).
Side effects
- Empty or too-short conversation history — insufficient signal to score rapport
- Malformed conversation history format — returns validation error
- Payment not attached or insufficient USDC balance — 402 payment required
- Rate limiting if called excessively in rapid succession
- Ambiguous speaker attribution in transcript causing skewed scores
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"mode": "contextual",
"trend": "stable",
"signals": [
{
"turn": 2,
"type": "positive",
"signal": "Direct questions about specifics",
"evidence": "What's your uptime guarantee?"
},
{
"turn": 6,
"type": "neutral",
"signal": "Minimal response to pricing",
"evidence": "Send it over."
}
],
"trust_level": 0.55,
"warmth_level": 0.4,
"rapport_score": 0.58,
"rapport_breaks": [],
"engagement_level": 0.65,
"repair_suggestions": [
"Add a personal touch â ask about their current setup",
"Show curiosity about their evaluation criteria"
],
"trajectory_summary": "Transactional but not cold. The human is in evaluation mode â engaged but guarded. No rapport breaks, but also no warmth building. Opportunity to deepen before the formal quote."
}
}Tags
x402
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