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SignalHarness Prompt Template Render & Validate
x402
SignalHarness Prompt Template Render & Validate is a paid API for AI agents from signalharness.ai, paid per call via x402, $0.005/call, status unknown (last checked 2026-09-15).
Renders and validates a prompt template from caller-supplied JSON, returning analysis and any warnings about the rendered result.
Price / call$0.005
Success—
StatusUnknown
How this service works
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Output
Returns a JSON object with a status field ('succeeded'), an analysis_json string containing structured analysis of the rendered template, a list of warnings (e.g. about caller-supplied data reliability), an evidence_scope field, and a full receipt including payment details, latency, service version, and a SHA-256 hash of the result.
Example use cases
Pre-flight check for LLM pipeline
“Before I deploy this prompt template to production, validate and render this JSON to check for any issues or warnings: '{"system": "You are a code reviewer.", "user": "Review this code: {{code}}"}'”
Debug broken agent prompt template
“My agent prompt template keeps behaving oddly — can you render and validate this JSON to see if there are structural problems: '{"role": "assistant", "instructions": "Summarize the following: {{input}}"}'?”
Validate dynamically generated template
“I just auto-generated this prompt template JSON from user input — please validate and render it to catch any warnings before passing it to the LLM: '{"task": "translate", "target_lang": "{{lang}}", "text": "{{content}}"}'”
Technical details
Endpoint
POSThttps://signalharness.ai/api/agent/services/prompt_template_render_validate/invokeWhen to prefer
Choose this endpoint when you need to validate and render a prompt template expressed as JSON before using it in an LLM pipeline or agent workflow, particularly when you want structured warnings and analysis rather than just a parse check. It is especially useful in agentic systems that dynamically generate prompt templates and need a pre-flight validation step to catch issues early.
Side effects
- Invalid or malformed request_json string causes parsing failure
- request_json exceeds 65536 character limit returns error
- Missing required request_json field returns validation error
- Caller-supplied data flagged with warnings rather than hard failure
- Network or payment settlement issues may cause receipt status anomalies
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_template_render_validate",
"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_template_render_validate",
"executionId": "example-execution",
"startedAtMs": 0,
"amountAtomic": "5000",
"resultSha256": "f4b52f3c4405d04c04df13f52a8b5abc443a1f21724f5d783ed644a3592363aa",
"serviceVersion": "1.0.0",
"settlementReference": "0x0000000000000000000000000000000000000000000000000000000000000000"
},
"artifacts": [],
"requestId": "example-request",
"executionId": "example-execution"
}
}Tags
x402
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