Agent402 / tools / v1-chat-metered

Chat completions - metered (pay what the call costs)

$0.001 per call · USDC via x402 · POST /v1/metered/chat/completions

OpenAI-compatible chat completions billed per request from what the call costs: the 402 quotes exact-BPE input plus your max_tokens at the model's list price, times 1.15, from $0.001 up to a $2 per-call cap. Any model from the flat tiers (GET /v1/models). Pay the quote over x402 exact, or authorize it as a ceiling over upto and settle actual usage. Set max_tokens to what you need: it is what you pay for.

TRY IN PLAYGROUND →

Input

FieldTypeDescription
model *stringModel id - OpenRouter form (openai/gpt-4o-mini) or bare OpenAI form (gpt-4o-mini). GET /v1/models lists the allowlist per tier.
messages *arrayOpenAI chat messages: [{role, content}] - text and image_url content blocks supported
max_tokensnumberOutput token cap (clamped to the tier maximum)
zdrbooleanOptional - true routes only to zero-data-retention providers (also accepted as provider.zdr). Same price; a model with no ZDR provider errors upstream and walks the failover chain.
cache_controlanyOptional - prompt caching preference. Default ON ({type:"ephemeral"}, 5-minute TTL): repeated prefixes across your turns are served from the provider cache (same price to you). Send false to disable. ttl:"1h" is not offered.
reasoningobjectOptional - reasoning control for reasoning models: {effort: "none"|"minimal"|"low"|"medium"|"high"|"xhigh"|"max", max_tokens?: int, exclude?: bool, enabled?: bool}. Reasoning tokens count against max_tokens. When omitted, reasoning-by-default models get a low effort on the budget tiers (so the cap is not spent thinking) and the model default on premium. OpenAI's reasoning_effort string is accepted too.
max_completion_tokensintegerOptional - alias of max_tokens (newer OpenAI SDKs send this).
toolsarrayOptional - OpenAI function tools {type:"function", function:{...}}. The pro and premium routes also accept the bounded server tools {type:"openrouter:web_search"}, {type:"openrouter:web_fetch"} and {type:"openrouter:datetime"}, which OpenRouter executes in an agent loop; GET /v1/models lists the per-tier step and per-tool limits. Those limits and the loop budget are server-owned - stop_server_tools_when and max_tool_calls are refused. A request carrying a server tool is never served from the prompt cache.

Example output

{
  "id": "gen-…",
  "object": "chat.completion",
  "created": 1750000000,
  "model": "openai/gpt-4o-mini",
  "choices": [
    {
      "index": 0,
      "message": {
        "role": "assistant",
        "content": "OK"
      },
      "finish_reason": "stop"
    }
  ],
  "usage": {
    "prompt_tokens": 12,
    "completion_tokens": 1,
    "total_tokens": 13
  }
}

Try it - see the 402 challenge (free)

curl -i -X POST https://agent402.tools/v1/metered/chat/completions \
  -H "Content-Type: application/json" \
  -d '{"model":"openai/gpt-4o-mini","messages":[{"role":"user","content":"Reply with exactly: OK"}],"max_tokens":5}'

The response is HTTP 402 Payment Required with exact payment requirements. Any x402 v2 client pays automatically and retries:

Paid call (JavaScript agent)

import { wrapFetchWithPayment } from "@x402/fetch";
import { x402Client } from "@x402/core/client";
import { registerExactEvmScheme } from "@x402/evm/exact/client";
import { privateKeyToAccount } from "viem/accounts";

const client = new x402Client();
registerExactEvmScheme(client, { signer: privateKeyToAccount(KEY) });
const payFetch = wrapFetchWithPayment(fetch, client);

const res = await payFetch("https://agent402.tools/v1/metered/chat/completions", {
  method: "POST",
  headers: { "Content-Type": "application/json" },
  body: JSON.stringify({
    "model": "openai/gpt-4o-mini",
    "messages": [
      {
        "role": "user",
        "content": "Reply with exactly: OK"
      }
    ],
    "max_tokens": 5
  }),
});
Wallet-only. This tool reaches the network/browser/storage, so it is paid in USDC via x402 (no proof-of-work tier).

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