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SignalHarness Prompt Section Normalize
x402
SignalHarness Prompt Section Normalize is a paid API for AI agents from signalharness.ai, paid per call via x402, $0.005/call, status unknown (last checked 2026-09-14).
Normalizes and standardizes a JSON-encoded prompt section structure into a canonical, schema-valid format
Price / call$0.005
Success—
StatusUnknown
How this service works
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Output
Returns a JSON object containing the normalized analysis_json with the canonical prompt section data, any warnings about caller-supplied data reliability, service metadata including the service_id, and a cryptographic receipt with payment confirmation, execution timing, result hash, and settlement reference on Base network.
Example use cases
Standardize agent prompt templates
“I have a bunch of prompt sections with inconsistent formatting — can you normalize this one into the canonical schema: '{"sec":"instructions","txt":"Always respond in bullet points","type":"sys"}'?”
Validate prompt section before pipeline ingestion
“Before I feed this prompt section into my processing pipeline, can you normalize and validate it for me? The raw JSON is: '{"section":"user_query","body":"What is the weather today?","role":"user"}'”
Clean up malformed prompt JSON from user input
“A user submitted this prompt section and it looks a bit off — can you normalize it into the standard format so I can use it safely? Here it is: '{"prompt_part":"summarize the article","context":"news","mode":"assistant"}'”
Technical details
Endpoint
POSThttps://signalharness.ai/api/agent/services/prompt_section_normalize/invokeWhen to prefer
Choose this endpoint when you need to programmatically normalize or canonicalize prompt section JSON structures into a consistent, schema-valid format — particularly within AI agent pipelines that require standardized prompt inputs. It is well-suited for pay-per-call, low-volume normalization tasks where you need a receipt and audit trail via the x402 payment protocol on Base USDC.
Side effects
- Invalid or malformed request_json string (not valid JSON) results in an error response
- request_json exceeds 65536 character limit causes rejection
- Empty or too-short request_json (minLength 2) returns validation error
- Payment failure on Base network prevents execution
- Service returns warnings when caller-supplied data cannot be fully verified
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": "prompt_section_normalize",
"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": "prompt_section_normalize",
"executionId": "example-execution",
"startedAtMs": 0,
"amountAtomic": "5000",
"resultSha256": "c943b09e535cb18540a02f5be07494af5b279fffd20721778172f44f8314b3d0",
"serviceVersion": "1.0.0",
"settlementReference": "0x0000000000000000000000000000000000000000000000000000000000000000"
},
"artifacts": [],
"requestId": "example-request",
"executionId": "example-execution"
}
}Tags
x402
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