SignalHarness Agent Trace Retry Analyzer 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).
Analyzes a submitted agent trace JSON to identify retry patterns, failures, and actionable diagnostics for agent execution flows.
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Returns a JSON object containing an analysis_json field with diagnostics about the submitted trace, a list of warnings (e.g. data verification advisories), an evidence_scope indicator (e.g. 'caller_supplied_data'), a replay flag, the service_id, and a full execution receipt with payment metadata, latency, request/execution IDs, and a result SHA-256 hash.
POSThttps://signalharness.ai/api/agent/services/agent_trace_retry_analyze/invokeChoose this endpoint when you have a raw agent execution trace or retry log in JSON format and need automated diagnostic analysis — particularly when debugging why an agent repeatedly failed or retried a step. It is purpose-built for agent observability use cases on the SignalHarness platform, priced at $0.01 USDC per call via x402, making it cost-effective for frequent debugging cycles.
| 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": "agent_trace_retry_analyze",
"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": "agent_trace_retry_analyze",
"executionId": "example-execution",
"startedAtMs": 0,
"amountAtomic": "10000",
"resultSha256": "1fcdc22b8c7b75b2a2d47a8f28b69938dfa0fc3bd7dd2c42d4887725fc8b146a",
"serviceVersion": "1.0.0",
"settlementReference": "0x0000000000000000000000000000000000000000000000000000000000000000"
},
"artifacts": [],
"requestId": "example-request",
"executionId": "example-execution"
}
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