agent402.tools Text Chunker

x402

agent402.tools Text Chunker is a paid API for AI agents from agent402.tools, paid per call via x402, $0.001/call, status unknown (last checked 2026-09-15).

Splits input text into overlapping chunks by character count or LLM token count for RAG ingestion, returning chunks with their offsets.

Price / call$0.001

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StatusUnknown

How this service works

Split text into overlapping chunks for RAG ingestion - by characters (default) or by exact LLM tokens. Returns the chunks plus offsets. Deterministic, no model needed.

Output

An array of text chunks derived from the input, each with its content and character/token offsets indicating its position in the original text. Output is deterministic given the same inputs.

Example use cases

Example prompt

“Chunk this 10,000-word article into overlapping segments of 800 tokens each (using the gpt-4o tokenizer) with a 100-token overlap so I can load them into my vector database.”

Technical details

Endpoint

POSThttps://agent402.tools/api/text-chunk

When to prefer

Use this endpoint when you need deterministic, model-free text splitting for RAG or embedding pipelines, especially when you require precise token-level chunking using a specific LLM tokenizer (e.g. gpt-4o) or need overlapping windows for better retrieval recall. Prefer over ad-hoc string splitting when token accuracy matters.

Side effects

Text field missing or empty — API returns 400 error
Invalid unit value (not 'chars' or 'tokens') — API returns 400 error
Invalid or unsupported tokenizer model name — API returns 400/422 error
chunk size or overlap value is non-positive or overlap exceeds chunk size — may return 400 error or degenerate chunks
Payment not attached or insufficient — API returns 402 Payment Required

Input

Schema · Request body

Field	Type	Description
size	number	chunk size (default 800)
text	string	Text to split into chunks (max 500KB)
unit	string	chars (default) \| tokens
model	string	tokenizer model when unit=tokens (default gpt-4o)
overlap	number	overlap between chunks (default 0)

Output

Schema · Response

{
  "type": "json",
  "example": {
    "size": 120,
    "unit": "chars",
    "count": 4,
    "chunks": [
      "The x402 protocol lets an agent pay for a single request. A server answers with payment terms, the agent signs a stablec",
      "gent signs a stablecoin authorization, and the request is retried with the payment attached. Payment settles on chain, s"
    ],
    "overlap": 20
  }
}

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How this service works

Split text into overlapping chunks for RAG ingestion - by characters (default) or by exact LLM tokens. Returns the chunks plus offsets. Deterministic, no model needed.

Output

An array of text chunks derived from the input, each with its content and character/token offsets indicating its position in the original text. Output is deterministic given the same inputs.

Technical details

Endpoint

POSThttps://agent402.tools/api/text-chunk

When to prefer

Side effects

Text field missing or empty — API returns 400 error
Invalid unit value (not 'chars' or 'tokens') — API returns 400 error
Invalid or unsupported tokenizer model name — API returns 400/422 error
chunk size or overlap value is non-positive or overlap exceeds chunk size — may return 400 error or degenerate chunks
Payment not attached or insufficient — API returns 402 Payment Required

Input

Schema · Request body

Field	Type	Description
size	number	chunk size (default 800)
text	string	Text to split into chunks (max 500KB)
unit	string	chars (default) \| tokens
model	string	tokenizer model when unit=tokens (default gpt-4o)
overlap	number	overlap between chunks (default 0)

Output

Schema · Response

{
  "type": "json",
  "example": {
    "size": 120,
    "unit": "chars",
    "count": 4,
    "chunks": [
      "The x402 protocol lets an agent pay for a single request. A server answers with payment terms, the agent signs a stablec",
      "gent signs a stablecoin authorization, and the request is retried with the payment attached. Payment settles on chain, s"
    ],
    "overlap": 20
  }
}