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Metaverse Image Recognition Auditor MCP
x402
Metaverse Image Recognition Auditor MCP is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $1.312769/call, status unknown (last checked 2026-10-13).
Audits or validates image recognition results in metaverse contexts, returning a boolean pass/fail judgment based on a prompt describing the image or scenario.
Price / call$1.312769
Success—
StatusUnknown
How this service works
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Output
A JSON object containing a single boolean 'result' field — true if the image recognition audit passes, false if it fails. No additional detail or confidence score is returned.
Example use cases
Metaverse asset label verification
“I need to audit whether this metaverse image is correctly recognized — the scene is 'a dragon avatar holding a sword in a fantasy realm'. Does it pass image recognition validation?”
Virtual world content moderation check
“Can you run an image recognition audit on this virtual environment description: 'players gathered around a neon-lit marketplace in a cyberpunk metaverse'? I need to know if it passes or fails.”
AI-generated scene recognition audit
“Audit this AI-generated metaverse image description for me — 'a floating island with a castle and rainbow bridge in a colorful virtual world' — and tell me if the image recognition result is valid.”
Technical details
Endpoint
POSThttps://api.m2mcent.com/metaverse-image-recognition-auditor-mcp-559/api/execute?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a simple pass/fail image recognition audit specifically scoped to metaverse or virtual world imagery, and your pipeline does not require a confidence score or detailed label breakdown — just a boolean verdict.
Side effects
- Missing or empty 'prompt' field returns a validation error
- Ambiguous or very short prompts may produce unreliable boolean results
- Network timeout or payment failure via x402 protocol halts execution
- The endpoint returns only a boolean with no explanation for the pass/fail decision, limiting debuggability
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| promptrequired | string |
Output
Schema · Response
| Field | Type | Description |
|---|---|---|
| resultrequired | boolean |
Tags
x402
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