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Convrgent.ai Follow-Up Message Generator
x402
Convrgent.ai Follow-Up Message Generator is a paid API for AI agents from convrgent.ai, paid per call via x402, $1.5/call, status unknown (last checked 2026-09-15).
Generates an optimally timed and channel-appropriate follow-up message for sales prospects who have gone quiet, with personality-calibrated content when KYH profile data is available.
Price / call$1.5
Success—
StatusUnknown
How this service works
Follow-Up Message Generator — generate the optimal follow-up message with timing and channel recommendation for prospects who went quiet. Personality-calibrated when KYH data is available.
Output
Returns a ready-to-send follow-up message text tailored to the prospect's personality (if KYH vault data is available), along with a recommended send time and the best communication channel (email, LinkedIn, phone, etc.) for re-engagement.
Example use cases
Example prompt
“My prospect Jordan Chen went quiet after our demo call 12 days ago — generate the best follow-up message for them, and tell me the optimal timing and channel to send it. Jordan's KYH profile ID is in the vault if you need it for personality calibration.”
Technical details
Endpoint
POSThttps://convrgent.ai/api/kyb/followupWhen to prefer
Use this endpoint when a sales prospect has gone quiet and you need a crafted re-engagement message that accounts for the right timing and channel, especially when you have personality data from the convrgent.ai KYH vault to make the message more resonant. Prefer over generic CRM templates when personalization and psychological calibration matter.
Side effects
- KYH profile not found — message generated without personality calibration
- insufficient conversation history to assess silence context — generic follow-up returned
- invalid or missing prospect identifier — 400 error
- payment not processed — 402 error before generation
- rate limit exceeded — 429 error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"mode": "inferred",
"timing": {
"best_day": "Tuesday",
"best_time": "10:00 AM",
"reasoning": "Mid-morning minimizes decision fatigue for analytical types",
"send_in_days": 1
},
"message": "Hi â I came across a case study that reminded me of the workflow challenge you mentioned. No pressure, just thought it might be useful as you're evaluating options.",
"subject_line": "Quick thought on your automation workflow",
"tone_strategy": "Value-add, no direct ask â matches this buyer's need for processing time",
"channel_recommendation": "email â analytical buyers prefer written communication they can review at their pace"
}
}Tags
x402
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