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Convrgent AI Linguistic Style Mirror
x402
Convrgent AI Linguistic Style Mirror is a paid API for AI agents from convrgent.ai, paid per call via x402, $0.35/call, status unknown (last checked 2026-09-15).
Analyzes recent conversation messages and returns real-time communication style parameters (tone, formality, energy, directness, humor, pacing) plus an injectable mirror prompt for style-matching.
Price / call$0.35
Success—
StatusUnknown
How this service works
Real-time linguistic style matching — analyzes recent messages and returns precise communication parameters (tone, formality, energy, directness, humor, pacing) plus an injectable mirror prompt. Designed for frequent mid-conversation calls.
Output
Returns a structured set of communication style parameters including tone, formality level, energy, directness, humor, and pacing scores, plus a ready-to-inject mirror prompt that can be prepended to an LLM call to replicate the analyzed person's linguistic style.
Example use cases
Example prompt
“Analyze these last 10 messages from my prospect and give me the tone, formality, energy, directness, humor, and pacing breakdown — plus an injectable mirror prompt I can use to match their style in my next reply.”
Technical details
Endpoint
POSThttps://convrgent.ai/api/blah/mirrorWhen to prefer
Choose this endpoint when you need real-time, mid-conversation style calibration with structured numeric parameters and a directly injectable mirror prompt. Prefer over generic tone-detection APIs when you need the full 6-dimension communication profile (tone + formality + energy + directness + humor + pacing) in a single call optimized for frequent polling during live interactions.
Side effects
- Insufficient message history provided — too few messages to detect reliable style patterns
- Empty or null message input returns a 400 error
- Messages too short or generic to extract meaningful style signals
- Non-English or mixed-language inputs may reduce parameter accuracy
- Rate limiting on frequent mid-conversation calls may cause latency spikes
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"mode": "contextual",
"mirror_prompt": "Use a warm, casual tone. Keep sentences medium-length. Be collaborative â use 'we' and 'together'. Light on formality.",
"convergence_tips": [
"Mirror their collaborative 'we' framing",
"Use similar softeners"
],
"style_parameters": {
"tone": "warm-casual",
"humor": 0.2,
"energy": 0.6,
"formality": 0.35,
"directness": 0.6,
"response_pacing": "matched",
"sentence_length": "medium",
"vocabulary_level": "moderate",
"punctuation_style": "minimal",
"emotional_register": "measured"
},
"detected_patterns": [
"Collaborative framing ('loop in', 'together')",
"Hedging with softeners ('no rush', 'rough idea')",
"Uses exclamation marks for warmth"
],
"divergence_warnings": [
"Don't be overly formal",
"Avoid long paragraphs"
]
}
}Tags
x402
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