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SignalHarness Agent Tool Call Sequence Analyzer
x402
SignalHarness Agent Tool Call Sequence Analyzer is a paid API for AI agents from signalharness.ai, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-13).
Analyzes a sequence of agent tool calls provided as JSON and returns structured analysis with warnings and evidence scope.
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 structured findings, a list of warnings (e.g. about caller-supplied data trust), the service_id, and an evidence_scope field indicating the data source. Also includes a full receipt with payment and execution metadata (network, latency, amount, result hash).
Example use cases
Debugging a broken agent workflow
“My agent ran a multi-step task and something went wrong midway — can you analyze this tool call sequence JSON and tell me what looks off or out of order?”
Auditing LLM tool use patterns
“I want to audit the sequence of tool calls our production agent made during last night's run — here's the JSON, can you analyze it and flag any warnings?”
Validating agent tool call ordering
“Before I deploy this agent pipeline, can you check this tool call sequence I captured from testing and tell me if the ordering looks correct and whether there are any issues I should know about?”
Technical details
Endpoint
POSThttps://signalharness.ai/api/agent/services/agent_tool_call_sequence_analyze/invokeWhen to prefer
Choose this endpoint when you need a pay-per-call, agent-native analysis of tool call sequences without standing up your own analysis infrastructure. Particularly useful for debugging multi-step agent workflows, auditing tool use patterns, or validating call ordering in an x402/Base USDC payment context.
Side effects
- Malformed or non-JSON request_json input may cause parsing errors
- Input exceeding 65536 characters will be rejected
- Ambiguous or incomplete tool call sequences may yield low-confidence analysis
- Payment failure via x402 will prevent execution
- Response may include warnings about unverified caller-supplied data
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_tool_call_sequence_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_tool_call_sequence_analyze",
"executionId": "example-execution",
"startedAtMs": 0,
"amountAtomic": "10000",
"resultSha256": "88456da2da9b5e20231cd59b03e0eda308544c3190d240f42e812e63c7766539",
"serviceVersion": "1.0.0",
"settlementReference": "0x0000000000000000000000000000000000000000000000000000000000000000"
},
"artifacts": [],
"requestId": "example-request",
"executionId": "example-execution"
}
}Tags
x402
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