Tools Llm Chat
by x402-gateway in AI models & inference
LLM Chat: Chat with a language model. OpenAI-compatible /v1/chat/completions interface. Supports 50+ models. Free models (auto, eco, premium) are $0 — paid models (gpt-5.2, claude-opus-5, deepseek-v4-pro, ...) are charged at cost. See /tools/llm_chat/models for the full model list and rates. Pay per call in USDC on Base via x402 — POST https://x402.freeq.one/tools/llm_chat.
https://x402.freeq.one/tools/llm_chat- Price
- $0.002
- per call in USDC
- Uptime
- 100%
- last 30 days
- Response time
- 405 ms
- 529 ms slowest 5%
- Last check
- Passed
- 2 h ago, next any minute now
Reliability
Status and outage history · Atom feed · Watch with other listings
How to call it
POST https://x402.freeq.one/tools/llm_chat
Each call costs $0.002 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
Built from the input schema. Replace the values with your own.
POST https://x402.freeq.one/tools/llm_chat
content-type: application/json
{
"max_tokens": 1,
"messages": [
{
"content": "example",
"role": "system"
}
],
"model": "example",
"temperature": 1
}Parameters
| Parameter | Type | Required | Description |
|---|---|---|---|
max_tokens | integer | No | Maximum tokens to generate (default 1024, max 4096). Lower values reduce cost for paid models. |
messages | array of object | No | Conversation messages array |
model | string | No | Model ID. Examples: auto/eco/premium (free, $0.002), openai/gpt-5.2, anthropic/claude-opus-5, google/gemini-3.1-pro, deepseek/deepseek-v4-pro. Short names accepted (gpt-5.2, claude-opus-5). See /tools for full list. |
temperature | number | No | Sampling temperature 0-2 (default 0.7) |
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 $0.002.
curl: see the payment challenge
# bash or zsh: see the payment challenge. Nothing is charged.
curl -sS -g -i -X POST 'https://x402.freeq.one/tools/llm_chat' \
-H 'content-type: application/json' \
--data-raw '{"max_tokens":1,"messages":[{"content":"example","role":"system"}],"model":"example","temperature":1}'
# 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://x402.freeq.one/tools/llm_chat' \
-H 'content-type: application/json' \
--data-raw '{"max_tokens":1,"messages":[{"content":"example","role":"system"}],"model":"example","temperature":1}' \
| grep -i '^payment-required:' | cut -d' ' -f2 | tr -d '\r' | base64 --decodeJavaScript: 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 $0.002 per call.
const client = new x402Client().setSpendControls({ maxAmountPerPayment: "$0.002" });
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 $0.002 per payment. GET https://toolvet.app/api/v1/check?url=https%3A%2F%2Fx402.freeq.one%2Ftools%2Fllm_chat&method=POST
const res = await pay("https://x402.freeq.one/tools/llm_chat", {
method: "POST",
headers: { "content-type": "application/json" },
body: JSON.stringify({
"max_tokens": 1,
"messages": [
{
"content": "example",
"role": "system"
}
],
"model": "example",
"temperature": 1
}),
});
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 $0.002 per call.
client = x402ClientSync().set_spend_controls({"max_amount_per_payment": "$0.002"})
register_exact_evm_client(client, EthAccountSigner(Account.from_key(os.environ["EVM_PRIVATE_KEY"])))
with x402_requests(client) as session:
res = session.post(
"https://x402.freeq.one/tools/llm_chat",
json={
"max_tokens": 1,
"messages": [
{
"content": "example",
"role": "system",
},
],
"model": "example",
"temperature": 1,
},
)
print(res.status_code, res.text)Security scan
No findings
We scan names, descriptions and tool definitions for hidden instructions and other prompt-injection patterns.
Recent checks
| When | Result | HTTP | Time | Price |
|---|---|---|---|---|
| 2 h ago | Passed | 402 | 350 ms | $0.002 |
| 7 h ago | Passed | 402 | 405 ms | $0.002 |
| 11 h ago | Passed | 402 | 491 ms | $0.002 |
| 16 h ago | Passed | 402 | 342 ms | $0.002 |
| 20 h ago | Passed | 402 | 500 ms | $0.002 |
Show 10 older checks
| 24 h ago | Passed | 402 | 342 ms | $0.002 |
| 28 h ago | Passed | 402 | 438 ms | $0.002 |
| 33 h ago | Passed | 402 | 385 ms | $0.002 |
| 37 h ago | Passed | 402 | 427 ms | $0.002 |
| 41 h ago | Passed | 402 | 433 ms | $0.002 |
| 45 h ago | Passed | 402 | 522 ms | $0.002 |
| 2 days ago | Passed | 402 | 529 ms | $0.002 |
| 2 days ago | Passed | 402 | 457 ms | $0.002 |
| 2 days ago | Passed | 402 | 381 ms | $0.002 |
| 3 days ago | Passed | 402 | 336 ms | $0.002 |
History
| 11 Oct 2026 | Price changed from $0.05 to $0.002 |