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Bounty Engineer Structured Record Merge
x402
Bounty Engineer Structured Record Merge is a paid API for AI agents from bounty-engineer-x402-prod.onrender.com, paid per call via x402, $0.015/call, status unknown (last checked 2026-10-12).
Merges multiple structured data records by finding field-level consensus across sources and flagging conflicts where values disagree.
Price / call$0.015
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 merged record containing only fields where the required minimum number of sources agree, along with a list of conflicting fields where sources disagreed, a provenance map showing which sources contributed each field value, the total field count merged, conflict count, and any limitations of the merge approach.
Example use cases
Company profile deduplication across data providers
“I pulled company data from three different enrichment APIs and they're slightly inconsistent — can you merge these records into one clean version, show me which fields conflict, and only include values that appear in at least 2 of the 3 sources?”
Person record reconciliation from CRM imports
“I have 4 versions of the same contact record from different CRM imports. Merge them into one authoritative record, tell me which fields had conflicting values, and require at least 2 sources to agree before accepting a value.”
Product catalog consolidation from multiple feeds
“I've got product data from 2 supplier feeds that describe the same SKU differently. Merge these 2 records and flag every field where the values don't match so I can resolve them manually.”
Technical details
Endpoint
POSThttps://bounty-engineer-x402-prod.onrender.com/v1/structured-record-merge?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have 2–20 structured records representing the same real-world entity from different sources and need a programmatic, provenance-tracked consensus merge with explicit conflict reporting. It is especially valuable when you need to know not just the merged result but which sources agreed and where they disagreed, making it suitable for data quality pipelines, entity resolution workflows, and agent-driven deduplication tasks.
Side effects
- Fewer than 2 records provided — merge cannot proceed
- More than 20 records submitted — exceeds maxItems limit
- min_sources set higher than the number of supplied records — no fields can merge
- All fields conflict across sources — merged record is empty
- Payment of 0.015 USDC not fulfilled — 402 response returned
- Malformed record structure — schema validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| records | array | |
| min_sources | integer |
Output
Schema · Response
{
"type": "json",
"example": {
"ok": true,
"mode": "structured_record_merge",
"merged": {
"name": "Acme",
"country": "GR"
},
"decision": "merged",
"conflicts": [],
"provenance": {
"name": [
"a",
"b"
],
"country": [
"a",
"b",
"c"
]
},
"limitations": [
"Merge uses exact value agreement across caller-supplied records. It does not decide which disagreeing source is factually correct."
],
"min_sources": 2,
"source_count": 3,
"conflict_count": 0,
"merged_field_count": 2
}
}Tags
x402
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