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Bounty Engineer Data Quality Gate
x402
Bounty Engineer Data Quality Gate is a paid API for AI agents from bounty-engineer-x402-prod.onrender.com, paid per call via x402, $0.02/call, status unknown (last checked 2026-10-12).
Validates an array of records against a schema, detecting structural issues and duplicate keys, and returns a pass/reject decision with per-record issue details.
Price / call$0.02
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 'ok' boolean, a 'decision' field ('pass' or 'reject'), a list of per-record issues (each with index, issue code, and affected fields), total issue count, invalid record count, total record count, a SHA-256 hash of the records for integrity verification, a truncation flag, and a limitations notice clarifying the scope of checks performed.
Example use cases
Pre-insert duplicate ID check
“I'm about to write 120 order records to our database. Can you run them through the data quality gate checking uniqueness on 'order_id' and flag any duplicates or schema issues before we proceed?”
ETL pipeline validation step
“We're ingesting a batch of 80 product records from a third-party feed. Validate them against our product schema and check composite uniqueness on ['sku','warehouse_id'] — tell me which records fail and why.”
API payload pre-flight audit
“Here are 30 customer JSON objects I'm about to POST to a downstream service. Run a quality gate on them, check for duplicate 'customer_id' values, and give me a pass or reject decision with the specific issues listed.”
Technical details
Endpoint
POSThttps://bounty-engineer-x402-prod.onrender.com/v1/data-quality-gate?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a lightweight, per-call data quality gate for small-to-medium record batches (up to 200 records) that checks schema conformance and composite field uniqueness before downstream writes or API submissions. It is not suitable for identity verification, real-world accuracy checks, or batches exceeding 200 records. Prefer it over generic JSON validators when you need a structured pass/reject decision with per-record issue metadata and an integrity hash.
Side effects
- Records array exceeds 200 items — request rejected
- Records array is empty (minItems:1 not met) — validation error
- Schema field is malformed or unparseable — may return unexpected issue codes
- unique_by references fields not present in records — silently skipped or empty results
- Network or server error on Render hosting — 5xx response
- Payment of 0.02 USDC not provided or rejected — 402 Payment Required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| schema | — | |
| records | array | |
| unique_by | array |
Output
Schema · Response
{
"type": "json",
"example": {
"ok": true,
"mode": "data_quality_gate",
"issues": [
{
"index": 1,
"issues": [
{
"code": "duplicate_key",
"fields": [
"id"
],
"first_index": 0
}
]
}
],
"decision": "reject",
"issue_count": 1,
"limitations": [
"Checks supplied schema and composite uniqueness of top-level fields. No real-world accuracy or identity verification."
],
"record_count": 2,
"records_sha256": "fe545e38479d5ecce90ac6f4b7593e9016b0d1b214ded8b8042cf3b59a1ae097",
"issues_truncated": false,
"invalid_record_count": 1
}
}Tags
x402
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