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SignalHarness Search-to-Answer Evidence Report
x402
SignalHarness Search-to-Answer Evidence Report is a paid API for AI agents from signalharness.ai, paid per call via x402, $0.03/call, status unknown (last checked 2026-09-13).
Takes caller-supplied data as input, runs a search-to-answer analysis, and returns a structured evidence report with analysis JSON and sourcing warnings.
Price / call$0.03
Success—
StatusUnknown
How this service works
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Output
Returns a JSON object containing: an analysis_json field with the structured answer/evidence findings, an evidence_scope field indicating data provenance (e.g. 'caller_supplied_data'), a warnings array flagging reliability caveats, a status field ('succeeded'), and a signed receipt with payment metadata including the USDC amount, network (Base), request and execution IDs, and a SHA256 hash of the result for integrity verification.
Example use cases
Competitive landscape evidence report
“Can you pull together a search-to-answer evidence report on the competitive landscape for AI coding assistants — who the major players are, their pricing, and their key differentiators? Give me the structured analysis JSON.”
Regulatory risk research synthesis
“I need an evidence report on current FDA regulations around LDTs (lab-developed tests) — search for the latest developments and give me a structured answer with any caveats about source reliability.”
Due diligence fact-finding on a company
“Run a search-to-answer evidence analysis on Anthropic's funding history, key investors, and latest valuation round, and return the findings as a structured JSON report with sourcing warnings.”
Technical details
Endpoint
POSThttps://signalharness.ai/api/agent/services/search_to_answer_evidence_report/invokeWhen to prefer
Choose this endpoint when you need a structured, evidence-backed answer report in machine-readable JSON format, especially when you want sourcing transparency (evidence_scope and warnings fields) and a cryptographically verifiable result (SHA256 receipt). It is well-suited for research automation pipelines where auditability and structured output matter more than raw web scraping. Prefer it over generic LLM Q&A when you need a pay-per-call, receipt-verified evidence synthesis step in an agent workflow.
Side effects
- Malformed or too-short request_json (below minLength:2) causes validation failure
- Request JSON exceeding 65,536 characters is rejected
- Payment not settled on Base network results in 402 response
- Analysis may return warnings indicating caller-supplied data could not be independently verified
- Result may reflect only caller-supplied data scope rather than live web search if external access is unavailable
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_to_answer_evidence_report",
"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_to_answer_evidence_report",
"executionId": "example-execution",
"startedAtMs": 0,
"amountAtomic": "30000",
"resultSha256": "e09b24a889ee3424898e0f289fe50bb11eee990747a1264b52441dfb60796ca3",
"serviceVersion": "1.0.0",
"settlementReference": "0x0000000000000000000000000000000000000000000000000000000000000000"
},
"artifacts": [],
"requestId": "example-request",
"executionId": "example-execution"
}
}Tags
x402
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