SignalHarness Search Result Overlap Compare is a paid API for AI agents from signalharness.ai, paid per call via x402, $0.015/call, status unknown (last checked 2026-09-15).
Compares two sets of search results to identify overlapping items, shared URLs, or duplicate entries across queries
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Returns a JSON analysis containing the overlapping items found between two search result sets, including matched entries, intersection metrics, and any warnings about data quality. The result includes a service_id, analysis_json with the comparison details, and an evidence_scope indicator.
POSThttps://signalharness.ai/api/agent/services/search_result_overlap_compare/invokeUse this endpoint when you need to programmatically compare two search result sets and identify shared or overlapping entries. Prefer this over manual deduplication when dealing with structured search result JSON from any source. Best suited for SEO analysis, research aggregation, or any workflow where understanding the intersection of two query result sets is valuable.
| Field | Type | Description |
|---|---|---|
| request_json | string |
{
"type": "json",
"example": {
"replay": false,
"result": {
"warnings": [
"Verify the caller-supplied data before relying on this result."
],
"service_id": "search_result_overlap_compare",
"analysis_json": "{\"example\":\"schema-valid caller-supplied data\"}",
"evidence_scope": "caller_supplied_data"
},
"status": "succeeded",
"receipt": {
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"usage": [],
"status": "succeeded",
"network": "eip155:8453",
"artifacts": [],
"endedAtMs": 0,
"latencyMs": 0,
"paymentId": "example-payment",
"receiptId": "example-receipt",
"requestId": "example-request",
"serviceId": "search_result_overlap_compare",
"executionId": "example-execution",
"startedAtMs": 0,
"amountAtomic": "15000",
"resultSha256": "8b8e6905287b63b3d71202536f19144e6c5080a18a547d13451f6dc0825c259d",
"serviceVersion": "1.0.0",
"settlementReference": "0x0000000000000000000000000000000000000000000000000000000000000000"
},
"artifacts": [],
"requestId": "example-request",
"executionId": "example-execution"
}
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