Split text into overlapping chunks for RAG ingestion
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.
Answeringour last check, 2026-09-24
1 of 1checks answered this week
952 msmedian answer time
$0.001listed price per call
$0.001price it asked us
Paid test badge: not yet. The checks above are free: we call the tool without paying and read the payment request it sends back. The Verified badge needs paid calls whose answers match the promised output, and nobody can buy a badge.
Endpoint
POST https://agent402.tools/api/text-chunk
| Category | Market data |
|---|---|
| Provider host | agent402.tools |
| Networks | algorand:wGHE2Pwdvd7S12BL5FaOP20EGYesN73ktiC1qzkkit8=, eip155:10, eip155:1329, eip155:137, eip155:143, eip155:42161, eip155:42220, eip155:43114, eip155:4663, eip155:8453, solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp, stellar:pubnet |
| Payment schemes | exact, upto |
| Self-reported calls, 30 days | 3 from 1 payers (the provider's figure, not ours) |
Our checks, last 30 days
| Day | Result | HTTP | Asked | Time |
|---|---|---|---|---|
| 2026-09-24 | valid payment request | 402 | $0.001 | 952 ms |
Example input (from the provider)
{
"body": {
"overlap": 20,
"size": 120,
"text": "The x402 protocol lets an agent pay for a single request. A server answers with payment terms, the agent signs a stablecoin authorization, and the request is retried with the payment attached. Payment settles on chain, so the server needs no account and the agent needs no subscription. The x402 protocol prices each request on its own, and payment terms travel with the request itself.",
"unit": "chars"
},
"bodyType": "json",
"method": "POST",
"type": "http"
}
Promised output schema (from the provider)
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"input": {
"additionalProperties": false,
"properties": {
"body": {
"properties": {
"model": {
"description": "tokenizer model when unit=tokens (default gpt-4o)",
"type": "string"
},
"overlap": {
"description": "overlap between chunks (default 0)",
"type": "number"
},
"size": {
"description": "chunk size (default 800)",
"type": "number"
},
"text": {
"description": "Text to split into chunks (max 500KB)",
"type": "string"
},
"unit": {
"description": "chars (default) | tokens",
"type": "string"
}
},
"required": [
"text"
]
},
"bodyType": {
"enum": [
"json",
"form-data",
"text"
],
"type": "string"
},
"method": {
"enum": [
"POST"
],
"type": "string"
},
"type": {
"const": "http",
"type": "string"
}
},
"required": [
"type",
"method",
"bodyType",
"body"
],
"type": "object"
},
"output": {
"properties": {
"example": {
"properties": {
"chunks": {
"items": {
"type": "string"
},
"type": "array"
},
"count": {
"type": "integer"
},
"overlap": {
"type": "integer"
},
"size": {
"type": "integer"
},
"unit": {
"type": "string"
}
},
"required": [
"unit",
"size",
"overlap",
"count",
"chunks"
],
"type": "object"
},
"type": {
"type": "string"
}
},
"required": [
"type"
],
"type": "object"
}
},
"required": [
"input"
],
"type": "object"
}