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SignalHarness Agent Trace Timeline
x402
SignalHarness Agent Trace Timeline is a paid API for AI agents from signalharness.ai, paid per call via x402, $0.015/call, status unknown (last checked 2026-09-15).
Generates a structured timeline analysis of an agent execution trace from caller-supplied JSON data
Price / call$0.015
Success—
StatusUnknown
How this service works
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Output
Returns an analysis_json string containing the reconstructed trace timeline and structured findings, along with any warnings about caller-supplied data reliability, a status field, and a full payment receipt with execution metadata including latency, payment ID, and settlement reference on Base network.
Example use cases
Debugging a failed agent pipeline
“My agent run failed partway through — here's the full execution trace JSON. Can you reconstruct the timeline so I can see exactly where things went wrong and in what order each step happened?”
Auditing agent actions for compliance
“I need a chronological timeline of every action this agent took during yesterday's session. Here's the trace data — please analyze it and give me an ordered breakdown of what it did.”
Optimizing slow agent workflows
“Here's the trace JSON from our slow agent workflow. Can you generate a step-by-step timeline so I can identify which actions are taking the most time and where the bottlenecks are?”
Technical details
Endpoint
POSThttps://signalharness.ai/api/agent/services/agent_trace_timeline/invokeWhen to prefer
Choose this endpoint when you need to reconstruct a chronological execution timeline from raw agent trace JSON, particularly for debugging, auditing, or optimizing AI agent workflows. It is purpose-built for agent observability use cases and returns structured analysis with explicit data-provenance warnings, making it suitable when you need a documented audit trail rather than just log parsing.
Side effects
- Malformed or invalid request_json causes parsing failure
- request_json too short (under 2 chars) or too long (over 65536 chars) triggers validation error
- Caller-supplied data may be flagged with warnings if it cannot be verified
- Payment failure on Base network results in non-execution
- Empty or schema-invalid trace data returns a warning-annotated result rather than a deep analysis
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": "agent_trace_timeline",
"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_timeline",
"executionId": "example-execution",
"startedAtMs": 0,
"amountAtomic": "15000",
"resultSha256": "70c210e905b8d854ad13245867919e41163209bcf5ac253a115a12fbb6ac3c3b",
"serviceVersion": "1.0.0",
"settlementReference": "0x0000000000000000000000000000000000000000000000000000000000000000"
},
"artifacts": [],
"requestId": "example-request",
"executionId": "example-execution"
}
}Tags
x402
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