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workbot1.oddsys.org Document Chunker
x402
workbot1.oddsys.org Document Chunker is a paid API for AI agents from workbot1.oddsys.org, paid per call via x402, $0.005/call, status unknown (last checked 2026-10-12).
Splits a document into token-bounded chunks at natural boundaries (paragraphs/sentences) with optional overlap, producing ready-to-embed pieces for RAG pipelines.
Price / call$0.005
Success—
StatusUnknown
How this service works
Split a document into token-bounded chunks at natural boundaries (paragraphs/sentences), with optional overlap. Ready-to-embed pieces for RAG, no tokens spent on the splitting logic.
Output
An ordered list of text chunks, each bounded by the specified token limit and split at natural boundaries (paragraphs or sentences), with optional overlapping tokens between adjacent chunks — ready to pass directly to an embedding model or vector store.
Example use cases
RAG pipeline document ingestion
“Take this research paper text and split it into chunks of 512 tokens max, breaking at paragraph boundaries with a 64-token overlap, so I can embed each chunk and store them in my vector database.”
Sentence-level chunking for semantic search
“Break this long support documentation into sentence-level chunks of no more than 256 tokens each, with no overlap, so I can run semantic search over them.”
Chunking before LLM summarization
“I have this 10,000-word report — split it into 1024-token chunks at natural paragraph breaks with 100 tokens of overlap so I can feed each chunk to an LLM for summarization.”
Technical details
Endpoint
POSThttps://workbot1.oddsys.org/chunk?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need to prepare long documents for RAG or semantic search and want token-aware, boundary-respecting chunking done as a lightweight, off-context API call — avoiding burning LLM tokens on splitting logic. Prefer it over rolling your own chunking when you need reliable paragraph- or sentence-level splits with configurable overlap and token bounds, especially in automated pipelines ingesting many documents.
Side effects
- Document text is empty or missing — returns error indicating no content to chunk
- Token limit set too low to fit even a single sentence — may return error or single-token fragments
- Unsupported boundary type specified — returns validation error
- Request body malformed or missing required fields — returns 400-level error
- Payment not included or insufficient — returns 402 Payment Required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| text | string | The document text to split into chunks. |
| maxTokens | number | Target max tokens per chunk (32–8000, default 512). |
| overlapTokens | number | Trailing tokens overlapped into each chunk (default 0). |
Tags
x402
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