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Readability Score

by Readability score in Search & web

x402 APIPassing, checked 5 h ago

Compute Flesch-Kincaid Grade Level, Flesch Reading Ease, Gunning Fog Index, and Automated Readability Index from text. Returns all 4 scores plus word, sentence, and syllable counts.

POST https://agent402.tools/api/readability-score

Last 30 days

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Uptime
100%
Response time
207 ms typical, 207 ms slowest 5%
Last check
5 h ago
Next check
any minute now

How to call it

# See the payment challenge (nothing is charged)
curl -i -X POST "https://agent402.tools/api/readability-score" \
  -H "content-type: application/json" \
  -d '{"text":"The cat sat on the mat. It was a very good cat. The mat was red."}'
import { wrapFetchWithPayment } from "@x402/fetch";
import { x402Client } from "@x402/core/client";
import { ExactEvmScheme } from "@x402/evm/exact/client";
import { privateKeyToAccount } from "viem/accounts";

const client = new x402Client().register(
  "eip155:8453",
  new ExactEvmScheme(privateKeyToAccount(process.env.AGENT_KEY)),
);
const pay = wrapFetchWithPayment(fetch, client);

// Not sure it's safe to pay? Preflight it first for $0.005:
// GET https://toolvet.app/api/v1/check?url=https%3A%2F%2Fagent402.tools%2Fapi%2Freadability-score
const res = await pay("https://agent402.tools/api/readability-score", {
  method: "POST",
  headers: { "content-type": "application/json" },
  body: JSON.stringify({"text":"The cat sat on the mat. It was a very good cat. The mat was red."}),
});
console.log(await res.json());

Example input

{
  "text": "The cat sat on the mat. It was a very good cat. The mat was red."
}

Example output

{
  "automatedReadability": -2.84,
  "fleschKincaidGrade": -0.89,
  "fleschReadingEase": 104.59,
  "gunningFog": 3.2,
  "sentences": 3,
  "syllables": 17,
  "words": 16
}

Security scan

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

Recent checks

WhenResultHTTPTimePrice
5 h agoPassed402207 ms$0.001