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SignalHarness RAG Chunk Quality Analyzer
x402
SignalHarness RAG Chunk Quality Analyzer is a paid API for AI agents from signalharness.ai, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-15).
Analyzes the quality of RAG (Retrieval-Augmented Generation) chunks submitted as JSON, returning warnings and quality diagnostics to help optimize retrieval pipelines.
Price / call$0.01
Success—
StatusUnknown
How this service works
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Output
Returns a JSON object containing a quality analysis result with an 'analysis_json' field holding the diagnostic output, a list of 'warnings' about the submitted chunk data, an 'evidence_scope' indicator (e.g. 'caller_supplied_data'), and a full receipt with payment details, execution metadata, latency, and a SHA-256 result hash for verification.
Example use cases
Diagnose poor retrieval in chatbot
“My RAG-based chatbot keeps giving irrelevant answers. Can you analyze the quality of these document chunks I'm using and tell me what's wrong with them? Here's the chunk data as JSON.”
Validate chunks before vector indexing
“Before I index these text chunks into my vector database, can you run a quality check on them and flag any chunks that might cause retrieval problems?”
Optimize chunking strategy for legal docs
“I'm splitting legal documents into chunks for a retrieval system — can you analyze this sample of chunks as JSON and tell me if there are quality issues I should address before going to production?”
Technical details
Endpoint
POSThttps://signalharness.ai/api/agent/services/rag_chunk_quality_analyze/invokeWhen to prefer
Choose this endpoint when you need a quick, automated quality signal on RAG chunks before indexing them into a vector store, or when debugging a retrieval pipeline with poor recall or relevance. At $0.01 USDC per call it is cost-effective for per-chunk or per-batch validation. Prefer this over manual review when operating at scale or within an agentic workflow that needs programmatic quality gates.
Side effects
- Malformed or invalid JSON in request_json field returns an error
- Payload exceeding 65,536 characters is rejected
- Empty or too-short input (minLength 2) is rejected
- Service may return warnings rather than hard errors for low-quality but parseable chunks
- Payment failure via x402 protocol prevents execution
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": "rag_chunk_quality_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": "rag_chunk_quality_analyze",
"executionId": "example-execution",
"startedAtMs": 0,
"amountAtomic": "10000",
"resultSha256": "f7f31387f65b9f2df73808d21904147c3086544a43843a06db5530153a93a335",
"serviceVersion": "1.0.0",
"settlementReference": "0x0000000000000000000000000000000000000000000000000000000000000000"
},
"artifacts": [],
"requestId": "example-request",
"executionId": "example-execution"
}
}Tags
x402
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