402utils Text Chunker (Token-Aware RAG Splitter) is a paid API for AI agents from 402utils.com, paid per call via x402, $0.002/call, status unknown (last checked 2026-09-14).
Splits input text into token-measured chunks with configurable size, overlap, and boundary strategy (sentence/paragraph/token) for RAG ingestion, returning each chunk's text, token count, and character offsets.
Split a long text into token-sized chunks for RAG ingestion. Chunks are measured in REAL tokens (tiktoken o200k_base/cl100k_base), honour a token overlap, and cut on sentence, paragraph or word boundaries (strategy). Returns each chunk text, its exact token count and char offsets. The natural composite of token-count; counts are OpenAI-style estimates (no Claude tokenizer exists). Provided text only; nothing is fetched. Over 1 MB is truncated.
A list of chunk objects, each containing: the chunk text string, its exact token count (measured via tiktoken), and the start/end character offsets within the original text. Input over 1 MB is silently truncated before processing.
POSThttps://402utils.com/v1/chunkChoose this endpoint when you need real, tiktoken-measured token counts (not character estimates) for RAG pipelines targeting OpenAI-compatible embedding or completion models. Prefer it over regex-based splitters when semantic boundary respect (sentence or paragraph cuts) and accurate overlap are required. Best for preprocessing before vector DB ingestion. Not suitable if you need Claude/Anthropic tokenizer estimates.
| Field | Type | Description |
|---|---|---|
| text | string | The text to chunk (max 1 MB UTF-8; larger is truncated). |
| overlap | integer | Token overlap between consecutive chunks (must be < maxTokens). |
| encoding | string | tiktoken encoding used to size chunks. |
| strategy | string | Boundary chunks cut on: sentence (semantic), paragraph (blank-line), or token (word). |
| maxTokens | integer | Maximum tokens per chunk. |
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