# convrgent.ai Subtext Decoder (BLAH Decode)

> convrgent.ai Subtext Decoder (BLAH Decode) is a paid API for AI agents from convrgent.ai, paid per call via x402, $0.5/call, status unknown (last checked 2026-09-15).

Analyzes conversation text to surface hidden objections, unspoken concerns, power moves, buying signals, and emotional undercurrents beneath what was literally said.

## Facts

- Endpoint: POST https://convrgent.ai/api/blah/decode
- Price: $0.5/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-5f854a70
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_JMKhV_450IsQfzhjTSDaz

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-5f854a70 -d '<json body>'
```

Example prompt: Read between the lines of this message from my prospect: 'That sounds interesting, we'll need to loop in a few more people before moving forward' — what hidden objections, power moves, or buying signals are underneath what they're actually saying?

## When to prefer this

Choose this endpoint when you need to understand what a person truly means beyond their literal words — especially in sales, negotiation, customer success, or relationship contexts. It is the foundational intelligence layer that enhances any downstream personality-matched response, pitch generation, or communication adaptation on the convrgent.ai platform.

## Known failure modes

- Empty or too-short input text may return insufficient signal for meaningful analysis
- Highly ambiguous or context-free text may yield low-confidence subtext readings
- Input exceeding token limits may be truncated or rejected
- Non-conversational or purely factual text may return minimal subtext findings

## How this service works

Subtext analysis — reads between the lines to detect hidden objections, unspoken concerns, power moves, testing behavior, buying signals, and emotional undercurrent. Input intelligence that makes every other BLAH endpoint more effective.

## Output

Returns a structured subtext analysis including detected hidden objections, unspoken concerns, power moves or dominance signals, testing behavior, buying signals, and emotional undercurrent present in the input conversation or message.

## 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": [
      "message",
      "context"
     ],
     "properties": {
      "context": {
       "type": "object",
       "properties": {
        "domain": {
         "type": "string"
        },
        "stakes": {
         "enum": [
          "low",
          "medium",
          "high"
         ],
         "type": "string"
        },
        "relationship": {
         "type": "string"
        }
       }
      },
      "history": {
       "type": "array",
       "items": {
        "type": "object"
       }
      },
      "message": {
       "type": "string"
      },
      "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",
  "subtext": [
   {
    "reading": "They're stalling — 'circle back' and 'align internally' are delay signals",
    "evidence": "'circle back' and 'reviewing internally' are classic deflection phrases",
    "confidence": 0.82
   },
   {
    "reading": "They have concerns but aren't ready to voice them directly",
    "evidence": "'a few things we'd like to align on' suggests unspoken objections",
    "confidence": 0.75
   }
  ],
  "hidden_signals": {
   "concerns": [
    "Internal alignment challenges — may need buy-in from others"
   ],
   "objections": [
    "Price or scope concerns not yet surfaced"
   ],
   "power_moves": [
    "'Reviewing internally' creates distance and shifts control"
   ],
   "buying_signals": [
    "'Definitely' and 'appreciate' show genuine interest"
   ],
   "testing_behavior": []
  },
  "literal_meaning": "They acknowledge the proposal and plan to review it internally before following up",
  "emotional_undercurrent": "Cautious interest with political awareness",
  "response_considerations": [
   "Offer to help with internal alignment",
   "Don't push for immediate commitment"
  ],
  "recommended_interpretation": "They're interested but face internal hurdles. The delay is about politics, not rejection."
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/convrgent-ai-5f854a70/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)