SignalHarness RRF Merge Search Results is a paid API for AI agents from signalharness.ai, paid per call via x402, $0.015/call, status unknown (last checked 2026-09-13).
Merges multiple ranked search result lists into a single unified ranking using Reciprocal Rank Fusion (RRF)
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A JSON object containing the merged, re-ranked results produced by Reciprocal Rank Fusion across all input ranked lists, along with a service receipt including payment confirmation, execution metadata, and a SHA256 result hash for verification. Warnings may be included if input data could not be fully verified.
POSThttps://signalharness.ai/api/agent/services/search_result_rrf_merge/invokeUse this endpoint when you have multiple ranked result lists from heterogeneous retrieval systems (e.g., BM25 + dense vector search) and need to merge them into a single coherent ranking without training a learned ranker. Ideal for hybrid search pipelines, RAG systems, or any scenario where results from different sources must be reconciled into one ordered list using a parameter-free, robust fusion method.
| 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_rrf_merge",
"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_rrf_merge",
"executionId": "example-execution",
"startedAtMs": 0,
"amountAtomic": "15000",
"resultSha256": "bb185871b0f0937c9a6619ee9411914c6c7c8e1b4b2c44d705432861da7aff1d",
"serviceVersion": "1.0.0",
"settlementReference": "0x0000000000000000000000000000000000000000000000000000000000000000"
},
"artifacts": [],
"requestId": "example-request",
"executionId": "example-execution"
}
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