SignalHarness Search Result Recency Rank is a paid API for AI agents from signalharness.ai, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-13).
Ranks search results by recency, analyzing caller-supplied result data to order items from most to least recent.
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Returns a JSON analysis object containing the recency-ranked search results, a service_id confirming the operation, any warnings about caller-supplied data reliability, and a detailed receipt with payment confirmation, execution metadata, latency, and a SHA256 result hash for verification.
POSThttps://signalharness.ai/api/agent/services/search_result_recency_rank/invokeChoose this endpoint when you have a set of search results and need to programmatically re-order them by recency rather than relevance or other signals. It is particularly useful in agent pipelines that aggregate results from multiple sources and need a fast, pay-per-call recency normalization step without standing up your own ranking infrastructure. Best suited for single-call, low-latency ranking needs at $0.01 USDC per invocation.
| 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_recency_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_recency_rank",
"executionId": "example-execution",
"startedAtMs": 0,
"amountAtomic": "10000",
"resultSha256": "b856bd8ec6fa4ccb5f7ee6d736a0a1198d13f91db4c5272ac3b4313c7af39044",
"serviceVersion": "1.0.0",
"settlementReference": "0x0000000000000000000000000000000000000000000000000000000000000000"
},
"artifacts": [],
"requestId": "example-request",
"executionId": "example-execution"
}
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