81trust / 100

Llm Gpt 5 2

by x402engine.app in AI models & inference

x402 APIPassing, checked 2 h ago

OpenAI's latest flagship model — top-tier reasoning, coding, and multimodal capabilities

POST
https://x402engine.app/api/llm/gpt-5.2
Price
$0.035
per call in USDC
Uptime
100%
last 30 days
Response time
288 ms
413 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://x402engine.app/api/llm/gpt-5.2

Each call costs $0.035179 in USDC on Base, 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://x402engine.app/api/llm/gpt-5.2
content-type: application/json

{
  "max_tokens": 1024,
  "messages": [
    {
      "content": "Hello",
      "role": "user"
    }
  ]
}

Parameters

ParameterTypeRequiredDescription
include_reasoningbooleanNoModel-supported include_reasoning; see /docs/llm-capabilities.md.
max_completion_tokensintegerNoAlias for total output budget; bounded by model maxOutputTokens.
max_tokensintegerNoTotal output budget, including reasoning. Use this or max_completion_tokens.
messagesarray of objectYesText or model-supported multimodal messages; assistant tool calls may have null content
pluginsarray of objectNoOptional native PDF parser only; automatically enabled for file inputs.
reasoningobjectNoModel-supported reasoning; see /docs/llm-capabilities.md.
reasoning_effortstringNoModel-supported reasoning_effort; see /docs/llm-capabilities.md.
response_formatobjectNoModel-supported response_format; see /docs/llm-capabilities.md.
seedintegerNoModel-supported seed; see /docs/llm-capabilities.md.
streambooleanNoReturn live OpenAI-compatible SSE after payment settlement.
stream_optionsobjectNoOptional include_usage boolean; usage is always requested upstream.
tool_choicestring or objectNoModel-supported tool_choice; see /docs/llm-capabilities.md.
toolsarray of objectNoClient-executed function definitions; return results using role=tool and tool_call_id.

Example response

The listing has no example response.

Call it from code

The curl command shows the payment challenge. The JavaScript and Python versions pay and call, and never pay more than $0.035179.

curl: see the payment challenge
# bash or zsh: see the payment challenge. Nothing is charged.
curl -sS -g -i -X POST 'https://x402engine.app/api/llm/gpt-5.2' \
  -H 'content-type: application/json' \
  --data-raw '{"max_tokens":1024,"messages":[{"content":"Hello","role":"user"}]}'

# 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://x402engine.app/api/llm/gpt-5.2' \
  -H 'content-type: application/json' \
  --data-raw '{"max_tokens":1024,"messages":[{"content":"Hello","role":"user"}]}' \
  | 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 $0.035179 per call.
const client = new x402Client().setSpendControls({ maxAmountPerPayment: "$0.035179" });
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 $0.035179 per payment. GET https://toolvet.app/api/v1/check?url=https%3A%2F%2Fx402engine.app%2Fapi%2Fllm%2Fgpt-5.2&method=POST
const res = await pay("https://x402engine.app/api/llm/gpt-5.2", {
  method: "POST",
  headers: { "content-type": "application/json" },
  body: JSON.stringify({
    "max_tokens": 1024,
    "messages": [
      {
        "content": "Hello",
        "role": "user"
      }
    ]
  }),
});
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 $0.035179 per call.
client = x402ClientSync().set_spend_controls({"max_amount_per_payment": "$0.035179"})
register_exact_evm_client(client, EthAccountSigner(Account.from_key(os.environ["EVM_PRIVATE_KEY"])))

with x402_requests(client) as session:
    res = session.post(
        "https://x402engine.app/api/llm/gpt-5.2",
        json={
            "max_tokens": 1024,
            "messages": [
                {
                    "content": "Hello",
                    "role": "user",
                },
            ],
        },
    )
    print(res.status_code, res.text)

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24 h agoPassed402355 ms$0.035
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