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SignalHarness Search Result Metadata Rank
x402
SignalHarness Search Result Metadata Rank is a paid API for AI agents from signalharness.ai, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-15).
Ranks and analyzes metadata for search results using caller-supplied JSON data, returning structured analysis and evidence scope
Price / call$0.01
Success—
StatusUnknown
How this service works
Explore 330 pay-per-call x402 API services and 27 agent-native digital products, with Base USDC pricing, secure Polar checkout, and free discovery.
Output
Returns a JSON object containing a ranked analysis of the submitted search result metadata, including warnings about data reliability, an analysis_json field with the scored output, an evidence_scope field indicating the data provenance (e.g. caller_supplied_data), and a receipt with payment details, latency metrics, and a result hash for verification.
Example use cases
API marketplace result quality scoring
“I just got back 15 API listings from a discovery search and I want to know which ones have the best metadata — can you run them through the metadata rank scorer and tell me which services are most completely described?”
Agent tool selection prioritization
“I'm building an agent that needs to pick the best tool from a list of search results — can you rank these service listings by metadata completeness and reliability so my agent picks the highest-quality option first?”
Search result ordering for agent catalogs
“I have a JSON array of API service search results and I need to sort them so the most well-documented ones appear at the top — can you use the metadata rank endpoint to score each one and return them in ranked order?”
Technical details
Endpoint
POSThttps://signalharness.ai/api/agent/services/search_result_metadata_rank/invokeWhen to prefer
Choose this endpoint when you need to programmatically rank or score search result metadata — particularly for API discovery workflows where you want to surface the most complete and trustworthy service listings. Best suited for agent pipelines that need to order or filter API catalog results by metadata quality before presenting options to a user or making automated tool selections.
Side effects
- Malformed or non-JSON request_json string returns validation error
- request_json exceeding 65536 characters is rejected
- Caller-supplied data with missing fields may produce low-confidence or incomplete analysis
- Payment failure on the x402 protocol results in 402 response before execution
- Result marked with warnings if input data cannot be independently verified
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_metadata_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_metadata_rank",
"executionId": "example-execution",
"startedAtMs": 0,
"amountAtomic": "10000",
"resultSha256": "26f7163afcc22e74d82c61d707e9e7558c268af4510a33237873338be6e18e5f",
"serviceVersion": "1.0.0",
"settlementReference": "0x0000000000000000000000000000000000000000000000000000000000000000"
},
"artifacts": [],
"requestId": "example-request",
"executionId": "example-execution"
}
}Tags
x402
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