Keyword extraction

Top keywords and two-word phrases by frequency (stopwords removed). Cheap, deterministic signal for routing, tagging, and dedup.

Input

Field	Type	Description
text *	string	Text to analyze (max 500KB)
limit	number	Max keywords (default 15)

Example output

{
  "keywords": [
    {
      "term": "payment",
      "count": 9
    }
  ],
  "phrases": [
    {
      "term": "x402 protocol",
      "count": 4
    }
  ]
}

Try it - see the 402 challenge (free)

curl -i -X POST https://agent402.tools/api/keywords \
  -H "Content-Type: application/json" \
  -d '{"text":"Long article text…","limit":10}'

The response is HTTP 402 Payment Required with exact payment requirements. Any x402 v2 client pays automatically and retries:

Paid call (JavaScript agent)

import { wrapFetchWithPayment } from "@x402/fetch";
import { x402Client } from "@x402/core/client";
import { registerExactEvmScheme } from "@x402/evm/exact/client";
import { privateKeyToAccount } from "viem/accounts";

const client = new x402Client();
registerExactEvmScheme(client, { signer: privateKeyToAccount(KEY) });
const payFetch = wrapFetchWithPayment(fetch, client);

const res = await payFetch("https://agent402.tools/api/keywords", {
  method: "POST",
  headers: { "Content-Type": "application/json" },
  body: JSON.stringify({
    "text": "Long article text…",
    "limit": 10
  }),
});

No wallet? Pay with compute

This is a pure-CPU tool, so an agent without a wallet can pay with proof-of-work instead of USDC: fetch a challenge, solve the sha256 puzzle (16 leading zero bits - a fraction of a second of CPU, no money, no AI tokens), and resend with the X-Pow-Solution header.

import { createHash } from "node:crypto";
const lz = (b) => { let t = 0; for (const x of b) { if (!x) { t += 8; continue; } t += Math.clz32(x) - 24; break; } return t; };
const c = await (await fetch("https://agent402.tools/api/pow/challenge?slug=keywords")).json();
let n = 0;
while (lz(createHash("sha256").update(c.challenge + ":" + n).digest()) < c.difficulty) n++;
await fetch("https://agent402.tools/api/keywords", { method: "POST", headers: { "X-Pow-Solution": c.token + ":" + n, "Content-Type": "application/json" }, body: JSON.stringify({"text":"Long article text…","limit":10}) });

Part of these workflows

This tool is one step in 5 curated multi-tool workflows - agents can fetch the whole sequence as an MCP prompt or call https://agent402.tools/api/skill-packs/{slug}/prompt.

• Text hygiene - Turn a wall of dirty text - chat logs, scraped pages, user-generated content, log dumps - into something safe to store, search, and pipe into the next step. Measure first, redact PII before anything else touches the data, then dedupe, sort, extract entities, surface keywords, and grade the readability of what's left.
• RAG corpus prep - Take a raw document and turn it into a vector-DB-ready JSONL dataset, deterministically. Measures the corpus, token-counts it with the real OpenAI BPE, chunks at the right token boundary, attaches entities + keywords as metadata, emits NDJSON, then validates every record against a JSON Schema before you ingest it. Seven pure-CPU tools, free-tier eligible - the canonical 'prep my docs for embeddings' workflow done as deterministic tool calls instead of a hand-rolled Python script.
• Content grade - Grade a page's content quality - extract the readable content then analyze keyword density.
• Text analysis - Full text analysis - word/sentence stats, keyword extraction, and token count in one pass.
• Feed watch - Monitor an RSS/Atom feed in one call: parse the feed, read the top story in full, extract the keywords driving the cycle, and diff the item list against your last run to isolate what's new.

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