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SignalHarness BM25 Search Result Ranker
x402
SignalHarness BM25 Search Result Ranker 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).
Ranks a set of search results using BM25 relevance scoring against a caller-supplied query and document corpus
Price / call$0.015
Success—
StatusUnknown
How this service works
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Output
Returns a JSON object containing BM25-ranked search results with analysis JSON, a status field, warnings about caller-supplied data, and a full payment receipt including amount, network, service version, and execution metadata on Base (USDC).
Example use cases
Re-rank API discovery results
“I searched for 'payment processing APIs' and got back 20 results — can you re-rank them using BM25 so the most relevant ones to that exact phrase appear at the top?”
Sort product search results by relevance
“I have a list of 50 product descriptions and a user's search query 'wireless noise cancelling headphones under $100' — rank them by BM25 relevance score so I can show the best matches first.”
Rank internal knowledge base articles
“Given this user question 'how do I reset my two-factor authentication?' and these 15 knowledge base articles, use BM25 to rank which articles are most relevant to show first.”
Technical details
Endpoint
POSThttps://signalharness.ai/api/agent/services/search_result_bm25_rank/invokeWhen to prefer
Choose this endpoint when you need a lightweight, pay-per-call BM25 keyword relevance ranker without setting up your own search infrastructure. Ideal for agents that need to re-rank or sort a small-to-medium set of candidate documents or search results on demand, and want a verifiable on-chain receipt of the computation. Prefer this over embedding-based semantic search when exact keyword matching and term frequency matter most.
Side effects
- Malformed request_json input returns a validation error
- request_json exceeds 65536 character limit
- Caller-supplied data cannot be parsed as valid JSON
- Insufficient USDC balance to cover $0.015 per-call fee
- Service temporarily unavailable returns non-200 status
- BM25 ranking fails if document corpus is empty or missing required fields
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| request_json | string |
Output
Schema · Response
{
"type": "json",
"example": {
"replay": false,
"result": {
"warnings": [
"Verify the caller-supplied data before relying on this result."
],
"service_id": "search_result_bm25_rank",
"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_bm25_rank",
"executionId": "example-execution",
"startedAtMs": 0,
"amountAtomic": "15000",
"resultSha256": "864f795ae6129627c4a8e62adf2b9ff21d145ee4a81aa39c84595540fb21f21f",
"serviceVersion": "1.0.0",
"settlementReference": "0x0000000000000000000000000000000000000000000000000000000000000000"
},
"artifacts": [],
"requestId": "example-request",
"executionId": "example-execution"
}
}Tags
x402
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