SignalHarness Search Query Term Extractor is a paid API for AI agents from signalharness.ai, paid per call via x402, $0.005/call, status unknown (last checked 2026-09-13).
Extracts structured search query terms from a caller-supplied JSON request, returning parsed analysis for use in search or discovery workflows.
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Returns a JSON object containing extracted query terms and analysis in an `analysis_json` field, a `service_id`, status, optional warnings (e.g. to verify caller-supplied data), and a signed receipt with payment metadata including amount, network, and result hash for auditability.
POSThttps://signalharness.ai/api/agent/services/search_query_term_extract/invokeChoose this endpoint when you need to extract and structure search query terms from a raw or unstructured JSON payload as part of an agent workflow, particularly when operating in a pay-per-call x402 USDC environment on Base. It is well-suited for pipelines where query decomposition is a discrete, billable step before passing terms to a downstream search or retrieval system.
| 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_query_term_extract",
"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_query_term_extract",
"executionId": "example-execution",
"startedAtMs": 0,
"amountAtomic": "5000",
"resultSha256": "a76a6527f8842591c73b9b021bd0c4303487e20e4f3cad2afd684a3476d9fe41",
"serviceVersion": "1.0.0",
"settlementReference": "0x0000000000000000000000000000000000000000000000000000000000000000"
},
"artifacts": [],
"requestId": "example-request",
"executionId": "example-execution"
}
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