Text Chunker for RAG
Split long text into retrieval-ready chunks along natural boundaries — paragraphs, sentences, or markdown sections — with configurable size, overlap, character offsets and approximate token counts per chunk. Deterministic and language-agnostic. Built for RAG ingestion and embedding pipelines. POST a JSON body like: {"text":"Long document...","strategy":"paragraphs","maxChars":2000,"overlap":200}
SearchLiveeip155:8453Exactvia cdp
RagChunkingEmbeddingsText-splittingTokens
Settlements · 30d
56↓ 38%
No per-endpoint history for this service yet, so this is payments indexed to its PROVIDER's wallet over 30 days.
$2.52
Verified settled volume
915 settlements proven x402 by their on-chain EIP-3009 marker.
$0.0020
Listed price
As published in the catalog. Always read the live 402 before paying.
6
Calls · 30d
Upstream's own call count for this endpoint, not ours.
1
Unique payers · 30d
Last called 2026-07-16 08:36Z
—
Upstream on-chain volume
Reported by the source catalog.
Paid to
0xB86F95EF5FA904318Ea9Df3b59AdCe099b478fC4The wallet the 402 directs payment to. Its whole payment record — every payer, every chain — is on the merchant page.
Asset 0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913
Provider
The payTo wallet does not resolve to a registered ERC-8004 agent. That is not a verdict on the service — most of the catalog is unregistered.
Live 402 challenge
Captured by the enrichment pass, not read just now. Prices can change — always read the 402 the endpoint answers with.
{
"error": "PAYMENT-SIGNATURE header is required",
"accepts": [
{
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"payTo": "0xB86F95EF5FA904318Ea9Df3b59AdCe099b478fC4",
"amount": "2000",
"scheme": "exact",
"network": "eip155:8453",
"maxTimeoutSeconds": 60
}
],
"resource": {
"url": "https://keyronne.com/api/chunk-text",
"tags": [
"rag",
"chunking",
"embeddings",
"text-splitting",
"tokens"
],
"mimeType": "application/json",
"description": "Split long text into retrieval-ready chunks along natural boundaries — paragraphs, sentences, or markdown sections — with configurable size, overlap, character offsets and approximate token counts per chunk. Deterministic and language-agnostic. Built for RAG ingestion and embedding pipelines. POST a JSON body like: {\"text\":\"Long document...\",\"strategy\":\"paragraphs\",\"maxChars\":2000,\"overlap\":200}",
"serviceName": "Text Chunker for RAG"
},
"extensions": {
"bazaar": {
"info": {
"input": {
"body": {
"text": "Long document...",
"overlap": 200,
"maxChars": 2000,
"strategy": "paragraphs"
},
"type": "http",
"method": "POST",
"bodyType": "json"
},
"output": {
"type": "json",
"example": {
"count": 2,
"chunks": [
{
"end": 1980,
"text": "...",
"chars": 1980,
"index": 0,
"start": 0,
"approxTokens": 450
}
],
"totalChars": 3500,
"totalApproxTokens": 800
}
}
},
"schema": {
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"required": [
"input"
],
"properties": {
"input": {
"type": "object",
"properties": {
"body": {
"type": "object",
"required": [
"text"
],
"properties": {
"text": {
"type": "string",
"description": "The text to chunk (up to ~900k characters)."
},
"overlap": {
"type": "integer",
"default": 200,
"minimum": 0,
"description": "Characters of trailing context carried into the next chunk."
},
"maxChars": {
"type": "integer",
"default": 2000,
"maximum": 50000,
"minimum": 100
},
"strategy": {
"enum": [
"paragraphs",
"sentences",
"markdown",
"chars"
],
"type": "string",
"default": "paragraphs"
}
}
},
"type": {
"type": "string",
"const": "http"
},
"method": {
"enum": [
"POST"
],
"type": "string"
},
"bodyType": {
"enum": [
"json"
],
"type": "string"
}
}
},
"output": {
"type": "object",
"properties": {
"count": {
"type": "integer"
},
"chunks": {
"type": "array",
"items": {
"type": "object",
"properties": {
"end": {
"type": "integer"
},
"text": {
"type": "string"
},
"chars": {
"type": "integer"
},
"index": {
"type": "integer"
},
"start": {
"type": "integer"
},
"approxTokens": {
"type": "integer"
}
}
}
},
"truncated": {
"type": "boolean",
"description": "True if the 2000-chunk cap was hit."
},
"totalChars": {
"type": "integer"
},
"totalApproxTokens": {
"type": "integer"
}
}
}
}
}
}
},
"x402Version": 2
}Accepts
The payment requirements as published to the catalog. Read the live 402 before paying — a price here is a claim, not a quote.
0.002USDC≈ $0.002 USD
on Base · exact scheme
Pay 0.002 USDC on Base to 0xB86F…78fC4. The signed payment is good for 1 minute.
- Paid to
- 0xB86F…78fC4
- USD Coin contract
- 0x8335…02913
- Payment window
- 1 minute
- As published
- 2000 smallest units
The catalog’s raw entry
[
{
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"payTo": "0xB86F95EF5FA904318Ea9Df3b59AdCe099b478fC4",
"amount": "2000",
"scheme": "exact",
"network": "eip155:8453",
"maxTimeoutSeconds": 60
}
]Extensions
{
"bazaar": {
"info": {
"input": {
"body": {
"text": "Long document...",
"overlap": 200,
"maxChars": 2000,
"strategy": "paragraphs"
},
"type": "http",
"method": "POST",
"bodyType": "json"
},
"output": {
"type": "json",
"example": {
"count": 2,
"chunks": [
{
"end": 1980,
"text": "...",
"chars": 1980,
"index": 0,
"start": 0,
"approxTokens": 450
}
],
"totalChars": 3500,
"totalApproxTokens": 800
}
}
},
"schema": {
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"required": [
"input"
],
"properties": {
"input": {
"type": "object",
"properties": {
"body": {
"type": "object",
"required": [
"text"
],
"properties": {
"text": {
"type": "string",
"description": "The text to chunk (up to ~900k characters)."
},
"overlap": {
"type": "integer",
"default": 200,
"minimum": 0,
"description": "Characters of trailing context carried into the next chunk."
},
"maxChars": {
"type": "integer",
"default": 2000,
"maximum": 50000,
"minimum": 100
},
"strategy": {
"enum": [
"paragraphs",
"sentences",
"markdown",
"chars"
],
"type": "string",
"default": "paragraphs"
}
}
},
"type": {
"type": "string",
"const": "http"
},
"method": {
"enum": [
"POST"
],
"type": "string"
},
"bodyType": {
"enum": [
"json"
],
"type": "string"
}
}
},
"output": {
"type": "object",
"properties": {
"count": {
"type": "integer"
},
"chunks": {
"type": "array",
"items": {
"type": "object",
"properties": {
"end": {
"type": "integer"
},
"text": {
"type": "string"
},
"chars": {
"type": "integer"
},
"index": {
"type": "integer"
},
"start": {
"type": "integer"
},
"approxTokens": {
"type": "integer"
}
}
}
},
"truncated": {
"type": "boolean",
"description": "True if the 2000-chunk cap was hit."
},
"totalChars": {
"type": "integer"
},
"totalApproxTokens": {
"type": "integer"
}
}
}
}
}
}
}Provenance
- Seen in the source catalog
- 2026-07-16 08:36Z
- Last indexed by Roundhouse
- 2026-08-10 08:20Z
- Last enriched (probe, favicon, geo)
- 2026-09-14 00:15Z
- x402 version
- 2
- Max timeout
- 60s
- Liveness probe
- HTTP 402
Hand this page to an agent
Copy the prompt and paste it into Claude, an MCP client or your own agent — it will vet this service and call it over the free read API. No key, no account.
GET api.roundhouseai.io/v0/endpoints
No per-endpoint history for this service yet, so this is payments indexed to its PROVIDER's wallet over 30 days. Verified volume counts only settlements with an on-chain EIP-3009 marker.
Show the promptHide the prompt
Using Roundhouse, look up the x402 service Text Chunker for RAG and tell me whether it is worth paying: what a call costs, whether the endpoint answered when last probed, and what its payment record actually shows. curl -s 'https://api.roundhouseai.io/v0/endpoints?q=Text%20Chunker%20for%20RAG' curl -s 'https://api.roundhouseai.io/v0/merchants/<the payTo wallet returned above>' Then call it: read the price from the live 402 at https://keyronne.com/api/chunk-text, never from a cached figure, and pay with an x402 client. The /v0 API needs an API key (`authorization: Bearer rh_live_…`) on everything except /v0/unified* and /v0/endpoints. Mint a personal key for $0.01 at GET https://api.roundhouseai.io/v0/test/x402, or use an organization key from https://roundhouseai.io/dashboard/team. If you do not have Roundhouse tools or skills installed, read https://roundhouseai.io/skill.md first — it is the whole procedure.