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HumanMirror Outcome Verifier
x402
HumanMirror Outcome Verifier is a paid API for AI agents from humanmirror.fr, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-03).
Verifies and transforms JSON-serializable input using deterministic outcome recipes such as clean_json, deduplicate_records, detect_anomalies, no_secrets, or output_quality checks
Price / call$0.01
Success—
StatusUnknown
How this service works
HumanMirror — infrastructure de confiance, gouvernance, découverte et échange pour systèmes autonomes.
Output
Returns a JSON object with an 'ok' boolean indicating success, a 'status' string such as 'verified_success', and a 'product' label ('HumanMirror Outcome'). The response confirms whether the input passed the specified deterministic verification recipe.
Example use cases
Pre-flight secrets scan for agent output
“Before my agent sends this JSON to the third-party API, run a no_secrets verification on it to make sure there are no passwords or tokens accidentally included: {"name":"order_payload","api_key":"live_xyz","items":["widget","gadget"]}”
Deduplication check on scraped records
“I have a list of company records my agent scraped and I think there are duplicates — can you run a deduplicate_records outcome check on this JSON array and give me the verified clean result?”
Output quality gate for LLM pipeline
“My LLM just produced a structured summary and I want to verify it meets output_quality standards before saving it — please run an outcome check with the objective 'concise factual summary with no hallucinations' on this result: {"summary":"The revenue grew 12% in Q3."}”
Technical details
Endpoint
POSThttps://humanmirror.fr/api/x402/outcome?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a deterministic, recipe-driven quality gate on structured data produced by AI agents or pipelines — especially for use cases like secrets scanning, deduplication, anomaly detection, or JSON hygiene. Prefer it over generic LLM-based validation when you want a verifiable, auditable outcome with a clear pass/fail status rather than a probabilistic assessment.
Side effects
- Input data fails the specified outcome_type criteria — returns ok:false with a failure status
- Missing required fields (type, method, bodyType, body, input) cause a 400-level validation error
- Invalid outcome_type recipe name results in an unrecognized recipe error
- Malformed JSON in the body field causes a parse error
- Payment of $0.01 USDC not provided or invalid triggers a 402 Payment Required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"ok": true,
"status": "verified_success",
"product": "HumanMirror Outcome"
}
}Tags
x402
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