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convrgent.ai — Relationship Evolution Analysis
x402
convrgent.ai — Relationship Evolution Analysis is a paid API for AI agents from convrgent.ai, paid per call via x402, $3/call, status unknown (last checked 2026-09-15).
Analyzes how a relationship has changed over time, identifying trust trajectory, inflection points, and patterns like honeymoon fade, slow build, or rupture-repair cycles.
Price / call$3
Success—
StatusUnknown
How this service works
Relationship evolution — how a relationship changed over time. Trust trajectory, temporal analysis, inflection points, pattern recognition (honeymoon fade, slow build, rupture repair), relationship health tracking, trend forecasting.
Output
Returns a temporal relationship analysis including a trust trajectory curve, identified inflection points with timestamps, pattern labels (e.g. honeymoon fade, slow build, rupture-repair), an overall relationship health trend, and a short forecast of where the relationship is headed based on observed patterns.
Example use cases
Manager evaluating team member retention risk
“Analyze my conversations with Alex over the past year and show me the trust trajectory. I'm concerned about morale — have we experienced any rupture-repair cycles, and is the overall relationship trending toward disconnection or strengthening?”
Founder tracking investor partnership health
“Look at my email thread and video calls with our lead investor over the last 9 months. Map out the trust trajectory, flag any inflection points where the dynamic shifted, and tell me what pattern describes how this relationship has evolved.”
Therapist monitoring client progress through sessions
“Review my session notes with this client spanning the last 6 months and show me their relationship health trend. Identify any major turning points in our therapeutic connection and forecast whether the trust trajectory suggests we're moving toward deeper engagement or hitting a plateau.”
Technical details
Endpoint
POSThttps://convrgent.ai/api/kyh/multi/evolutionWhen to prefer
Use this endpoint when you need to understand how a relationship has changed over time rather than just its current state. Unlike the real-time health scoring endpoint (which gives a snapshot), this endpoint performs longitudinal analysis across multiple time periods to surface trends, inflection points, and predictive trajectory. Ideal for detecting drift, reconciliation events, or relationship phase transitions.
Side effects
- Insufficient conversation history — too few messages to establish temporal patterns
- Missing time metadata on messages — cannot perform temporal analysis without timestamps
- Single data point only — evolution analysis requires at least two time periods
- Ambiguous participant identity — multi-party conversations confuse two-person relationship mapping
- Malformed input payload — incorrect schema for conversation history entries
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"trend": "positive-growth",
"pattern": "slow-build",
"timespan": "4 months",
"current_state": {
"trust": 70,
"trajectory": "ascending"
},
"inflection_points": [
{
"event": "...",
"timestamp": "..."
}
],
"agent_recommendation": "..."
}
}Tags
x402
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