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Llm Premium

by LLM inference (Premium) in AI models & inference

x402 APIPassing, checked 2 h ago

LLM inference proxy (Premium tier) - o3 or o3-mini reasoning models. Supports vision (up to 2 image URLs) and structured output (response_format: json_object or json_schema). No API key needed; pay per call via x402. Input capped at 32k chars, output at 2048 tokens.

POST
https://agent402.tools/api/llm-premium
Price
$0.5
per call in USDC
Uptime
100%
last 30 days
Response time
262 ms
455 ms slowest 5%
Last check
Passed
2 h ago, next any minute now

Run a free test callHow to call it

Reliability

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Status and outage history · Atom feed · Watch with other listings

How to call it

POST https://agent402.tools/api/llm-premium

Each call costs $0.5 in USDC on Polygon, paid with the request over x402.

Run a free test callOne unpaid request, the way an agent sends it. You see the payment challenge it gets back. Nothing is charged.

Example request

From the listing.

POST https://agent402.tools/api/llm-premium
content-type: application/json

{
  "max_tokens": 64,
  "messages": [
    {
      "content": "Say hello in one sentence.",
      "role": "user"
    }
  ],
  "model": "o3-mini"
}

Parameters

ParameterTypeRequiredDescription
max_tokensnumberNoMax output tokens (default 1024, cap 2048)
messagesarrayYesArray of {role, content} objects. content can be a string or array of {type:'text',text} and {type:'image_url',image_url:{url,detail}} blocks
modelstringYesModel ID - o3 or o3-mini
response_formatobjectNoOptional: {type:"json_object"} or {type:"json_schema",json_schema:{name,schema}}
stopstringNoStop sequence(s)
temperaturenumberNoSampling temperature (0-2)
top_pnumberNoNucleus sampling (0-1)

Example response

The provider's example. We can't check it without paying.

{
  "choices": [
    {
      "finish_reason": "stop",
      "message": {
        "content": "Hello! How can I help you today?",
        "role": "assistant"
      }
    }
  ],
  "model": "o3-mini",
  "provider": "openai",
  "usage": {
    "completion_tokens": 8,
    "prompt_tokens": 12,
    "total_tokens": 20
  }
}

Call it from code

The curl command shows the payment challenge. The JavaScript and Python versions pay and call, and never pay more than $0.5.

curl: see the payment challenge
# bash or zsh: see the payment challenge. Nothing is charged.
curl -sS -g -i -X POST 'https://agent402.tools/api/llm-premium' \
  -H 'content-type: application/json' \
  --data-raw '{"max_tokens":64,"messages":[{"content":"Say hello in one sentence.","role":"user"}],"model":"o3-mini"}'

# x402 v2 sends the challenge base64-encoded in the PAYMENT-REQUIRED header (v1 sends it in the body).
# To read the header:
curl -sS -g -o /dev/null -D - -X POST 'https://agent402.tools/api/llm-premium' \
  -H 'content-type: application/json' \
  --data-raw '{"max_tokens":64,"messages":[{"content":"Say hello in one sentence.","role":"user"}],"model":"o3-mini"}' \
  | grep -i '^payment-required:' | cut -d' ' -f2 | tr -d '\r' | base64 --decode
JavaScript: pay and call
// npm i @x402/fetch @x402/evm viem
import { wrapFetchWithPayment, x402Client } from "@x402/fetch";
import { registerExactEvmScheme } from "@x402/evm/exact/client";
import { privateKeyToAccount } from "viem/accounts";

// Pays at most $0.5 per call.
const client = new x402Client().setSpendControls({ maxAmountPerPayment: "$0.5" });
registerExactEvmScheme(client, { signer: privateKeyToAccount(process.env.EVM_PRIVATE_KEY) });
const pay = wrapFetchWithPayment(fetch, client);

// Not sure it's safe to pay? ToolVet checks it first for $0.005. Pay for that from a separate
// client: this one is capped at $0.5 per payment. GET https://toolvet.app/api/v1/check?url=https%3A%2F%2Fagent402.tools%2Fapi%2Fllm-premium&method=POST
const res = await pay("https://agent402.tools/api/llm-premium", {
  method: "POST",
  headers: { "content-type": "application/json" },
  body: JSON.stringify({
    "max_tokens": 64,
    "messages": [
      {
        "content": "Say hello in one sentence.",
        "role": "user"
      }
    ],
    "model": "o3-mini"
  }),
});
console.log(res.status, await res.text());
Python: pay and call
# pip install "x402[requests,evm]"
import os
from eth_account import Account
from x402 import x402ClientSync
from x402.http.clients import x402_requests
from x402.mechanisms.evm import EthAccountSigner
from x402.mechanisms.evm.exact.register import register_exact_evm_client

# Pays at most $0.5 per call.
client = x402ClientSync().set_spend_controls({"max_amount_per_payment": "$0.5"})
register_exact_evm_client(client, EthAccountSigner(Account.from_key(os.environ["EVM_PRIVATE_KEY"])))

with x402_requests(client) as session:
    res = session.post(
        "https://agent402.tools/api/llm-premium",
        json={
            "max_tokens": 64,
            "messages": [
                {
                    "content": "Say hello in one sentence.",
                    "role": "user",
                },
            ],
            "model": "o3-mini",
        },
    )
    print(res.status_code, res.text)

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