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SignalHarness LLM Response JSON Extractor
x402
SignalHarness LLM Response JSON Extractor 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).
Extracts and returns structured JSON from a caller-supplied LLM response string, validating and parsing the embedded JSON payload.
Price / call$0.005
Success—
StatusUnknown
How this service works
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Output
Returns a parsed JSON object under 'analysis_json', along with any warnings about the caller-supplied data, a service receipt with payment and execution metadata, and a status field indicating success or failure.
Example use cases
Parsing structured LLM tool-call output
“The model returned a long message with a JSON block in it describing a function call — can you pull out just the JSON from this text: '{"function": "search", "arguments": {"query": "latest AI news", "limit": 5}}'?”
Extracting entity data from AI-generated text
“I have an LLM response that's supposed to contain a JSON object with customer details, but it's mixed in with explanation text. Can you extract the JSON from this: 'Here are the details: {"customerId": "C-1234", "name": "Bob Smith", "status": "active"}'?”
Validating and cleaning AI pipeline output
“Our AI pipeline returned this string and I need to make sure the JSON inside it is valid and get it back as clean data — can you extract the JSON from: '{"orderId": "ORD-9981", "total": 129.99, "items": ["widget", "gadget"]}'?”
Technical details
Endpoint
POSThttps://signalharness.ai/api/agent/services/llm_response_json_extract/invokeWhen to prefer
Choose this endpoint when you need a reliable, pay-per-call microservice to extract structured JSON from raw LLM output strings, especially in agentic pipelines where model responses may mix natural language with JSON and you need the JSON isolated and validated programmatically without standing up your own parsing infrastructure.
Side effects
- Input string contains no valid JSON — returns error or empty result
- Malformed JSON in input that cannot be parsed — may return warnings
- Input exceeds 65536 character limit — request rejected
- Ambiguous or multiple JSON blocks in input — only one may be extracted
- Payment failure via x402 — request not processed
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": "llm_response_json_extract",
"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": "llm_response_json_extract",
"executionId": "example-execution",
"startedAtMs": 0,
"amountAtomic": "5000",
"resultSha256": "f9953c34d43ae0b16888cccb775f420eac797ad5a5e518633a9ac9cb76d2813c",
"serviceVersion": "1.0.0",
"settlementReference": "0x0000000000000000000000000000000000000000000000000000000000000000"
},
"artifacts": [],
"requestId": "example-request",
"executionId": "example-execution"
}
}Tags
x402
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