# Convrgent AI Linguistic Style Mirror

> 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.

## Facts

- Endpoint: POST https://convrgent.ai/api/blah/mirror
- Price: $0.35/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/convrgent-ai-ca729222
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_4x-syV6VFY5PB1pgfS2cT

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability convrgent-ai-ca729222 -d '<json body>'
```

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.

## When to prefer this

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.

## Known failure modes

- 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

## 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.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "$schema": "https://json-schema.org/draft/2020-12/schema",
 "required": [
  "input"
 ],
 "properties": {
  "input": {
   "type": "object",
   "required": [
    "type",
    "bodyType",
    "body",
    "method"
   ],
   "properties": {
    "body": {
     "required": [
      "messages"
     ],
     "properties": {
      "channel": {
       "enum": [
        "chat",
        "email",
        "voice-transcript",
        "social"
       ],
       "type": "string"
      },
      "messages": {
       "type": "array",
       "items": {
        "type": "string"
       },
       "maxItems": 10,
       "minItems": 1
      },
      "kyh_profile": {
       "type": "object"
      }
     }
    },
    "type": {
     "type": "string",
     "const": "http"
    },
    "method": {
     "enum": [
      "POST"
     ],
     "type": "string"
    },
    "bodyType": {
     "enum": [
      "json",
      "form-data",
      "text"
     ],
     "type": "string"
    }
   },
   "additionalProperties": false
  },
  "output": {
   "type": "object",
   "required": [
    "type"
   ],
   "properties": {
    "type": {
     "type": "string"
    },
    "example": {
     "type": "object"
    }
   }
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "type": "json",
 "example": {
  "mode": "contextual",
  "mirror_prompt": "Use a warm, casual tone. Keep sentences medium-length. Be collaborative — 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"
  ]
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/convrgent-ai-ca729222/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from convrgent.ai](https://www.zero.xyz/host/convrgent.ai/llms.txt)