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Bounty Engineer Tool Output Quality Gate
x402
Bounty Engineer Tool Output Quality Gate is a paid API for AI agents from bounty-engineer-x402-prod.onrender.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-12).
Validates tool output quality by checking schema conformance, data freshness, required field presence, and empty-value ratios before an agent acts on the result.
Price / call$0.01
Success—
StatusUnknown
How this service works
Machine-buyable infrastructure for autonomous agents: API cost routing, margin optimization, funding-rate data, webpage extraction, result verification, spend controls, retry planning, state, tender search and GitHub bounty intelligence.
Output
Returns a JSON object with an overall 'ok' boolean, a 'decision' field (accept/reject), a list of 'issues' with codes like 'freshness_stale', freshness metadata including age_seconds and status, leaf-level statistics (total leaves, empty count, empty_ratio), schema validation results with any errors, a SHA-256 hash of the validated value, and a list of missing required paths.
Example use cases
Guard agent pipeline from stale data
“I just got a funding-rate result from an external tool observed at 2024-05-30T00:00:00Z — can you quality-gate it to make sure it's no older than 86400 seconds and that /rate and /symbol are both present before I use it?”
Schema conformance check on scraped webpage
“Run a quality check on this webpage extraction result against the expected schema, confirm all required paths /title and /body exist, and reject it if more than 20% of leaf fields are empty.”
Pre-action validation for bounty submission
“Before I submit this GitHub bounty data to the next step, gate it through the quality checker — required paths are /repo and /issue_number, max age is 3600 seconds from the observed_at timestamp, and don't allow any empty fields.”
Technical details
Endpoint
POSThttps://bounty-engineer-x402-prod.onrender.com/v1/tool-output-quality-gate?utm_source=zero.xyzWhen to prefer
Use this endpoint when an AI agent needs a cheap, fast, deterministic gate before acting on a tool's output — especially when staleness, missing fields, or schema conformance could cause downstream errors. Prefer it over ad-hoc agent-side checks when you need a SHA-256 audit trail of the validated value or when standardizing quality gates across a multi-tool pipeline. Not suitable for semantic or factual correctness verification.
Side effects
- Missing or malformed 'value' field causes validation to fail with schema errors
- 'observed_at' timestamp in wrong format results in freshness check failure
- 'required_paths' entries that don't match JSON Pointer format are silently skipped or error
- 'max_empty_ratio' outside 0–1 range rejected by input schema
- Freshness always flagged stale if 'observed_at' is absent
- Does not detect factual incorrectness — only structural and freshness issues
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| value | — | |
| schema | — | |
| observed_at | string | |
| required_paths | array | |
| max_age_seconds | integer | |
| max_empty_ratio | number |
Output
Schema · Response
{
"type": "json",
"example": {
"ok": true,
"mode": "tool_output_quality_gate",
"issues": [
{
"code": "freshness_stale",
"age_seconds": 965506
}
],
"decision": "reject",
"freshness": {
"status": "stale",
"age_seconds": 965506,
"max_age_seconds": 86400
},
"leaf_stats": {
"empty": 0,
"leaves": 3,
"empty_ratio": 0
},
"validation": {
"valid": true,
"errors": [],
"error_count": 0,
"errors_truncated": false
},
"limitations": [
"Quality checks structural completeness, declared freshness and schema conformance. It does not verify factual correctness."
],
"value_sha256": "160aba927402189461c7e3537f7d025926e02e60fb2aa04e926bba246540bfb8",
"missing_paths": [],
"required_paths": [
"/id",
"/price"
]
}
}Tags
x402
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