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SignalHarness Search Result Citation Map
x402
SignalHarness Search Result Citation Map 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).
Maps search results to structured citation references by analyzing caller-supplied search result data and returning a citation mapping with evidence metadata.
Price / call$0.01
Success—
StatusUnknown
How this service works
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Output
Returns a JSON object containing an analysis_json field with the citation mapping, an evidence_scope label indicating the data provenance (caller_supplied_data), any warnings about data verification, plus a signed receipt with payment confirmation, result SHA256 hash, latency metrics, and execution identifiers for auditability.
Example use cases
Academic research citation builder
“I ran a web search on CRISPR gene editing breakthroughs and got back a bunch of results — can you take this search result JSON and produce a structured citation map so I can cite my sources correctly in my paper?”
Journalism source attribution
“I have search results I gathered while investigating municipal budget cuts — can you map them into a citation reference structure so my editor can verify every source I used in the article?”
AI agent search grounding
“My agent just ran a search for recent court rulings on data privacy and I need those results mapped to citations so the downstream report generation step can include proper references — can you process the search result JSON for me?”
Technical details
Endpoint
POSThttps://signalharness.ai/api/agent/services/search_result_citation_map/invokeWhen to prefer
Choose this endpoint when you need to take raw search result data you already have and systematically extract and map citation references from it, particularly in agent workflows where downstream steps require structured source attribution. It is well-suited for research pipelines, journalism tools, or any agent that needs to ground generated content in traceable citations. Prefer it over generic extraction endpoints when you need a payment-receipted, auditable citation mapping with cryptographic result verification via SHA256.
Side effects
- Malformed or invalid request_json input causes rejection or schema validation failure
- Caller-supplied data that is too large (exceeds 65536 character limit) is rejected
- Unverified or attacker-controlled input may produce unreliable citation mappings (warned in response)
- Payment failure on the x402 protocol results in no execution
- Empty or minimal JSON input (under 2 characters) is rejected by minLength constraint
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_citation_map",
"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_citation_map",
"executionId": "example-execution",
"startedAtMs": 0,
"amountAtomic": "10000",
"resultSha256": "b8ba5de2e3e4772aa1b1279fac108bf757392f3c58ac3cee1583f58a7850dd9e",
"serviceVersion": "1.0.0",
"settlementReference": "0x0000000000000000000000000000000000000000000000000000000000000000"
},
"artifacts": [],
"requestId": "example-request",
"executionId": "example-execution"
}
}Tags
x402
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