GET /api/lorem-ipsumGenerate placeholder lorem ipsum text. Supports paragraphs or sentences mode with configurable counts. Uses a fixed vocabulary and deterministic assembly.
| Field | Type | Description |
|---|---|---|
paragraphs | number | Number of paragraphs (default 3, mode=paragraphs) |
mode | string | paragraphs (default) or sentences |
sentences | number | Number of sentences (default 5, mode=sentences) |
{
"text": "Lorem ipsum dolor sit amet...",
"mode": "paragraphs",
"count": 2
}
curl -i "https://agent402.tools/api/lorem-ipsum?paragraphs=2&mode=paragraphs"
The response is HTTP 402 Payment Required with exact payment requirements. Any x402 v2 client pays automatically and retries:
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/lorem-ipsum?paragraphs=2&mode=paragraphs");
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=lorem-ipsum")).json();
let n = 0;
while (lz(createHash("sha256").update(c.challenge + ":" + n).digest()) < c.difficulty) n++;
await fetch("https://agent402.tools/api/lorem-ipsum", { method: "GET", headers: { "X-Pow-Solution": c.token + ":" + n } });
POST /api/slugifyTurn any text into a URL-safe slug (lowercase, hyphenated, diacritics stripped).
POST /api/caseConvert text between camelCase, PascalCase, snake_case, kebab-case, CONSTANT_CASE, Title Case, lower, UPPER.
POST /api/text-statsCharacters, words, sentences, paragraphs, average word length, reading time, and an LLM token estimate for any text.