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SignalHarness Model Output Compare
x402
SignalHarness Model Output Compare is a paid API for AI agents from signalharness.ai, paid per call via x402, $0.015/call, status unknown (last checked 2026-09-13).
Compares and analyzes caller-supplied model outputs, returning structured analysis and validation results for AI-generated content.
Price / call$0.015
Success—
StatusUnknown
How this service works
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Output
Returns a structured JSON analysis of the submitted model output(s), including an analysis_json field with findings, a list of warnings (e.g. to verify caller-supplied data), an evidence_scope field indicating data provenance, a status field indicating success or failure, and a full payment receipt with execution metadata, latency, and a SHA-256 hash of the result.
Example use cases
A/B testing two LLM providers
“I ran the same prompt through GPT-4 and Claude and got different answers. Can you compare these two outputs and tell me which one is more reliable? Here's the JSON with both responses.”
Validating model output before shipping
“Before I use this AI-generated response in production, can you analyze this model output JSON and flag any issues or inconsistencies I should know about?”
Auditing model regression after fine-tuning
“I fine-tuned my model last week and want to compare its new outputs against the baseline — can you analyze these two output JSONs and summarize what changed?”
Technical details
Endpoint
POSThttps://signalharness.ai/api/agent/services/model_output_compare/invokeWhen to prefer
Choose this endpoint when you need a pay-per-call, agent-native comparison or validation of AI model outputs without standing up your own evaluation infrastructure. It is well-suited for lightweight, on-demand quality checks between model responses, especially in agentic pipelines that already use x402/Base USDC micropayments. Prefer alternatives if you need human-in-the-loop evaluation, large-scale batch benchmarking, or domain-specific scoring rubrics not supported by this service.
Side effects
- Malformed or invalid JSON in request_json causes validation failure
- Caller-supplied data that cannot be parsed may return incomplete analysis
- Result warnings may indicate low confidence due to caller-supplied data scope
- Network or payment settlement failures may result in no receipt being issued
- Empty or too-short request_json (below minLength of 2) will be rejected
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": "model_output_compare",
"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": "model_output_compare",
"executionId": "example-execution",
"startedAtMs": 0,
"amountAtomic": "15000",
"resultSha256": "73660f33a70cec7e6e7fe190425c34f9cb9956f70616e7511b422ea6154fca27",
"serviceVersion": "1.0.0",
"settlementReference": "0x0000000000000000000000000000000000000000000000000000000000000000"
},
"artifacts": [],
"requestId": "example-request",
"executionId": "example-execution"
}
}Tags
x402
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