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SignalHarness Agent Trace Latency Report
x402
SignalHarness Agent Trace Latency Report is a paid API for AI agents from signalharness.ai, paid per call via x402, $0.025/call, status unknown (last checked 2026-09-13).
Analyzes and reports latency metrics from agent trace data supplied by the caller, returning a structured analysis with warnings and evidence scope.
Price / call$0.025
Success—
StatusUnknown
How this service works
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Output
Returns a JSON object containing a structured latency analysis derived from the caller-supplied trace data, including an analysis_json field with findings, a list of warnings (e.g. reminders to verify caller-supplied data), the service_id, and an evidence_scope label ('caller_supplied_data'). Also includes a full execution receipt with payment details, timing metadata, a result SHA256 hash, and status information.
Example use cases
Diagnosing slow agent pipeline
“I've got trace data from a recent agent run that felt really slow — can you analyze this JSON and give me a latency report so I know where the bottleneck is?”
Performance audit before production deploy
“Before we push this agent workflow to production, can you run a latency analysis on this trace JSON from our staging environment and flag any timing concerns?”
Post-incident agent trace review
“We had an incident where our agent was timing out — here's the trace JSON from that run, can you generate a latency report so we can figure out what caused the delay?”
Technical details
Endpoint
POSThttps://signalharness.ai/api/agent/services/agent_trace_latency_report/invokeWhen to prefer
Choose this endpoint when you have agent execution trace data in JSON form and need a structured latency report or performance breakdown. It is purpose-built for AI agent observability workflows on the SignalHarness platform, priced at $0.025 USDC per call via x402, making it suitable for lightweight, frequent performance checks. Prefer it over generic logging or APM tools when operating within a USDC-native agent payment flow.
Side effects
- Invalid or malformed request_json causes a schema validation error
- Payload exceeds 65536 character limit, resulting in rejection
- Empty or too-short JSON string (minLength:2 not met) causes error
- Caller-supplied data that does not conform to expected trace format may produce warnings or degraded analysis
- Payment failure on x402 protocol results in no execution
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_latency_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": "agent_trace_latency_report",
"executionId": "example-execution",
"startedAtMs": 0,
"amountAtomic": "25000",
"resultSha256": "024952945ccbbd5e3dd4000f2143af64add309bb5408961c4b4596357bd2806b",
"serviceVersion": "1.0.0",
"settlementReference": "0x0000000000000000000000000000000000000000000000000000000000000000"
},
"artifacts": [],
"requestId": "example-request",
"executionId": "example-execution"
}
}Tags
x402
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