75trust / 100

Ai Chat

by manylives.me in AI models & inference

x402 APIPassing, checked 1 h ago

Chat completion from an open AI model (Llama 3.3 70B by default; Llama 3.1 8B for speed), no account or API key: send messages (or a prompt), get the model's reply. Up to 24,000 characters in and 1,024 tokens out per call.

POST https://manylives.me/paid/ai/chat

Last 30 days

All checks passedSome failedAll failedNot checked
Uptime
100%
Response time
445 ms typical, 664 ms slowest 5%
Last check
1 h ago
Next check
any minute now

How to call it

# bash or zsh: see the payment challenge (nothing is charged)
curl -g -i -X POST 'https://manylives.me/paid/ai/chat' \
  -H 'content-type: application/json' \
  --data-raw '{"prompt":"In one sentence, what is a hit rate?"}'
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%2Fmanylives.me%2Fpaid%2Fai%2Fchat
const res = await pay("https://manylives.me/paid/ai/chat", {
  method: "POST",
  headers: { "content-type": "application/json" },
  body: "{\"prompt\":\"In one sentence, what is a hit rate?\"}",
});
console.log(await res.json());

Example input

{
  "prompt": "In one sentence, what is a hit rate?"
}

Example output

{
  "model": "llama-3.3-70b",
  "reply": "…",
  "usage": {
    "input_chars": 120,
    "max_tokens": 512
  }
}

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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1 h agoPassed402664 ms$0.005
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