81trust / 100

Content Fact

by Random fact in AI models & inference

x402 APIPassing, checked 2 h ago

One curious but true fact, in English or Spanish, filtered by topic: science, computing, history or nature. Takes parameters, returns an id so you can avoid repeats across a session, and accepts a seed for a reproducible answer.

GET https://flat-rate-llm.kikoribera03.workers.dev/v1/content/fact

Last 30 days

All checks passedSome failedAll failedNot checked
Uptime
100%
Response time
48 ms typical, 48 ms slowest 5%
Last check
2 h ago
Next check
any minute now

How to call it

# See the payment challenge (nothing is charged)
curl -i -X GET "https://flat-rate-llm.kikoribera03.workers.dev/v1/content/fact?language=en&topic=computing"
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%2Fflat-rate-llm.kikoribera03.workers.dev%2Fv1%2Fcontent%2Ffact
const res = await pay("https://flat-rate-llm.kikoribera03.workers.dev/v1/content/fact?language=en&topic=computing");
console.log(await res.json());

Example input

{
  "language": "en",
  "topic": "computing"
}

Example output

{
  "fact": "The first computer bug was literal: a moth trapped in a relay of the Harvard Mark II in 1947.",
  "id": "f4",
  "language": "en",
  "topic": "computing",
  "total": 3
}

Security scan

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

Recent checks

WhenResultHTTPTimePrice
2 h agoPassed402655 ms$0.005
7 h agoPassed40248 ms$0.005