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Dev Text Chunker

by AgentTools in Onchain & crypto

x402 APIPassing, checked 3 h ago

Split text into retrieval-friendly chunks with a token budget and sentence-aware boundaries. Overlap between consecutive chunks preserves context across splits — the standard preparation step before embedding. Use this when an agent needs to rAG-ready chunks with token budgets and overlap.

GET https://agentstoolshub.com/api/v1/dev/text-chunker

Last 30 days

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Status and outage history · Atom feed

Uptime
100%
Response time
155 ms typical, 283 ms slowest 5%
Last check
3 h ago
Next check
any minute now

How to call it

GET https://agentstoolshub.com/api/v1/dev/text-chunker

Each call costs $0.005 in USDC on Base, paid with the request over x402.

Run a free test callOne unpaid request, the way an agent sends it. You see the payment challenge it gets back. Nothing is charged.

Example request

From the listing.

GET https://agentstoolshub.com/api/v1/dev/text-chunker?overlapTokens=15&targetTokens=60&text=Retrieval-augmented+generation+improves+factuality.+First%2C+documents+are+split+into+chunks.+Second%2C+chunks+are+embedded+into+vectors.+Third%2C+the+agent+retrieves+the+top+matches+for+a+query.+Overlap+keeps+ideas+that+straddle+boundaries+intact.+Finally%2C+the+model+answers+with+citations.

Parameters

ParameterTypeRequiredDescription
overlapTokensnumberNoOverlap tokens
targetTokensnumberNoTarget tokens per chunk
textstringYesText

Example response

The provider's example. We can't check it without paying.

Example response, 49 lines
{
  "result": {
    "answer": "2 chunks",
    "answerLabel": "≈65 tokens → chunks of ≤60 tokens, overlap 15",
    "artifacts": {
      "chunks": "[{\"index\":0,\"estTokens\":55,\"text\":\"Retrieval-augmented generation improves factuality. First, documents are split into chunks. Second, chunks are embedded into vectors. Third, the agent retrieves the top matches for a query. Overlap keeps ideas that straddle boundaries intact.\"},{\"index\":1,\"estTokens\":22,\"text\":\"Overlap keeps ideas that straddle boundaries intact. Finally, the model answers with citations.\"}]"
    },
    "details": [
      {
        "label": "Input (chars / est. tokens)",
        "value": "285 / ≈65"
      },
      {
        "label": "Avg chunk size",
        "value": "≈39 tokens"
      },
      {
        "label": "Boundary strategy",
        "value": "paragraph → sentence → word"
      }
    ],
    "steps": [
      "Split into 6 sentence units",
      "Pack units up to 60 estimated tokens",
      "Carry ≈15 tokens of overlap between consecutive chunks"
    ],
    "table": {
      "columns": [
        "Chunk",
        "Est. tokens",
        "Preview"
      ],
      "rows": [
        [
          0,
          55,
          "Retrieval-augmented generation improves factuality. First, d…"
        ],
        [
          1,
          22,
          "Overlap keeps ideas that straddle boundaries intact. Finally…"
        ]
      ]
    },
    "value": 2
  },
  "tool": "text-chunker"
}

Call it from code

The curl command shows the payment challenge. The JavaScript and Python versions pay and call, and never pay more than $0.005.

curl: see the payment challenge
# bash or zsh: see the payment challenge. Nothing is charged.
curl -sS -g -i 'https://agentstoolshub.com/api/v1/dev/text-chunker?overlapTokens=15&targetTokens=60&text=Retrieval-augmented+generation+improves+factuality.+First%2C+documents+are+split+into+chunks.+Second%2C+chunks+are+embedded+into+vectors.+Third%2C+the+agent+retrieves+the+top+matches+for+a+query.+Overlap+keeps+ideas+that+straddle+boundaries+intact.+Finally%2C+the+model+answers+with+citations.'

# x402 v2 sends the challenge base64-encoded in the PAYMENT-REQUIRED header (v1 sends it in the body).
# To read the header:
curl -sS -g -o /dev/null -D - 'https://agentstoolshub.com/api/v1/dev/text-chunker?overlapTokens=15&targetTokens=60&text=Retrieval-augmented+generation+improves+factuality.+First%2C+documents+are+split+into+chunks.+Second%2C+chunks+are+embedded+into+vectors.+Third%2C+the+agent+retrieves+the+top+matches+for+a+query.+Overlap+keeps+ideas+that+straddle+boundaries+intact.+Finally%2C+the+model+answers+with+citations.' \
  | grep -i '^payment-required:' | cut -d' ' -f2 | tr -d '\r' | base64 --decode
JavaScript: pay and call
// npm i @x402/fetch @x402/evm viem
import { wrapFetchWithPayment, x402Client } from "@x402/fetch";
import { registerExactEvmScheme } from "@x402/evm/exact/client";
import { privateKeyToAccount } from "viem/accounts";

// Pays at most $0.005 per call.
const client = new x402Client().setSpendControls({ maxAmountPerPayment: "$0.005" });
registerExactEvmScheme(client, { signer: privateKeyToAccount(process.env.EVM_PRIVATE_KEY) });
const pay = wrapFetchWithPayment(fetch, client);

// Not sure it's safe to pay? ToolVet checks it first for $0.005. Pay for that from a separate
// client: this one is capped at $0.005 per payment. GET https://toolvet.app/api/v1/check?url=https%3A%2F%2Fagentstoolshub.com%2Fapi%2Fv1%2Fdev%2Ftext-chunker
const res = await pay("https://agentstoolshub.com/api/v1/dev/text-chunker?overlapTokens=15&targetTokens=60&text=Retrieval-augmented+generation+improves+factuality.+First%2C+documents+are+split+into+chunks.+Second%2C+chunks+are+embedded+into+vectors.+Third%2C+the+agent+retrieves+the+top+matches+for+a+query.+Overlap+keeps+ideas+that+straddle+boundaries+intact.+Finally%2C+the+model+answers+with+citations.");
console.log(res.status, await res.text());
Python: pay and call
# pip install "x402[requests,evm]"
import os
from eth_account import Account
from x402 import x402ClientSync
from x402.http.clients import x402_requests
from x402.mechanisms.evm import EthAccountSigner
from x402.mechanisms.evm.exact.register import register_exact_evm_client

# Pays at most $0.005 per call.
client = x402ClientSync().set_spend_controls({"max_amount_per_payment": "$0.005"})
register_exact_evm_client(client, EthAccountSigner(Account.from_key(os.environ["EVM_PRIVATE_KEY"])))

with x402_requests(client) as session:
    res = session.get("https://agentstoolshub.com/api/v1/dev/text-chunker?overlapTokens=15&targetTokens=60&text=Retrieval-augmented+generation+improves+factuality.+First%2C+documents+are+split+into+chunks.+Second%2C+chunks+are+embedded+into+vectors.+Third%2C+the+agent+retrieves+the+top+matches+for+a+query.+Overlap+keeps+ideas+that+straddle+boundaries+intact.+Finally%2C+the+model+answers+with+citations.")
    print(res.status_code, res.text)

Security scan

  • No findings. We scan names, descriptions and tool definitions for hidden instructions and other prompt-injection patterns.

Recent checks

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