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SignalHarness Text Chunk Structurer
x402
SignalHarness Text Chunk Structurer is a paid API for AI agents from signalharness.ai, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-14).
Splits a text string into structured chunks with a configurable maximum character size, returning chunk array, count, and a source hash.
Price / call$0.01
Success—
StatusUnknown
How this service works
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Output
Returns a JSON object containing an array of text chunks, the total chunk count, and a SHA-256 hash of the source text. Also includes execution metadata such as payment receipt, request ID, and latency details.
Example use cases
RAG pipeline document ingestion
“Take this 10,000-character product manual and break it into chunks of no more than 512 characters each — I need to embed each chunk separately for my retrieval system.”
LLM context window preparation
“I have a long transcript here that's way too big for a single LLM call. Can you chunk it into segments of at most 2000 characters so I can process each one separately?”
Semantic search index building
“Split this blog post into structured text chunks with a max of 800 characters per chunk so I can index them for semantic search.”
Technical details
Endpoint
POSThttps://signalharness.ai/api/agent/services/text_chunk_structure/invokeWhen to prefer
Choose this endpoint when you need deterministic, reproducible text chunking with a verifiable source hash — especially useful in RAG pipelines, embedding workflows, or any system where you need to confirm chunk provenance. Prefer it over ad-hoc string splitting when you need structured output (chunk array + count + hash) and a pay-per-call micropayment model fits your usage pattern.
Side effects
- Text exceeds 65536 character maximum — returns validation error
- maxChunkChars below 256 or above 16000 — returns schema validation error
- Empty or missing text field — returns minLength validation error
- Payment failure via x402 protocol — returns 402 Payment Required
- Service unavailable — returns error status in receipt
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| text | string | |
| maxChunkChars | integer |
Output
Schema · Response
{
"type": "json",
"example": {
"replay": false,
"result": {
"chunks": [
{
"id": "example000",
"end": 0,
"hash": "0000000000000000000000000000000000000000000000000000000000000000",
"text": "Example caller-supplied content.",
"start": 0,
"ordinal": 0,
"estimatedTokens": 1,
"headingHierarchy": [
"example"
]
}
],
"chunkCount": 0,
"sourceHash": "0000000000000000000000000000000000000000000000000000000000000000"
},
"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": "text_chunk_structure",
"executionId": "example-execution",
"startedAtMs": 0,
"amountAtomic": "10000",
"resultSha256": "fee508f9f11138fc85b0266678dd3eb921bd79d1c0bbf7206f5505fd2f11bb12",
"serviceVersion": "1.0.0",
"settlementReference": "0x0000000000000000000000000000000000000000000000000000000000000000"
},
"artifacts": [],
"requestId": "example-request",
"executionId": "example-execution"
}
}Tags
x402
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