# Convrgent AEO Scan — Message Intent & Subtext Decoder

> Convrgent AEO Scan — Message Intent & Subtext Decoder is a paid API for AI agents from convrgent.ai, paid per call via x402, $0.25/call, status down (last checked 2026-09-15).

Decodes the psychological subtext and hidden intent behind a human's message given conversational context and domain

## Facts

- Endpoint: POST https://convrgent.ai/api/aeo/scan
- Price: $0.25/call
- Payment: x402
- Status: down
- Last checked: 2026-09-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/convrgent-ai-09c81784
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_u0iQow1hBsE6Qu2Ty4Mz8

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-09c81784 -d '<json body>'
```

Example prompt: Can you scan what this person is really trying to say? Their message is: 'I guess that works for now' — the domain is client services, stakes are high, and our relationship is a long-term B2B account. Decode the subtext for me.

## When to prefer this

Use this endpoint when you need to go beyond surface-level natural language understanding and decode psychological subtext, hidden intent, or unstated emotional signals in a human's message — especially in high-stakes relationship or sales contexts where understanding what someone really means is critical.

## Known failure modes

- Missing required 'message' field returns validation error
- Missing required 'context.domain' field causes request rejection
- Invalid 'stakes' enum value (must be low/medium/high) causes schema error
- Empty message string may return low-confidence or null interpretation
- Malformed history array items may be ignored or cause parse errors

## Output

Returns a psychological decoding of the human's message, revealing hidden intent, emotional subtext, unstated needs, and communication signals within the context of the specified domain, relationship, and stakes level.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "required": [
  "message",
  "context"
 ],
 "properties": {
  "context": {
   "type": "object",
   "required": [
    "domain"
   ],
   "properties": {
    "domain": {
     "type": "string"
    },
    "stakes": {
     "enum": [
      "low",
      "medium",
      "high"
     ],
     "type": "string"
    },
    "relationship": {
     "type": "string"
    }
   }
  },
  "history": {
   "type": "array",
   "items": {
    "type": "object",
    "properties": {
     "role": {
      "type": "string"
     },
     "text": {
      "type": "string"
     }
    }
   }
  },
  "message": {
   "type": "string",
   "description": "The human's message to decode"
  },
  "kyh_profile": {
   "type": "object",
   "description": "Optional KYH personality data"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/convrgent-ai-09c81784/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)