FarOut Pay-Per-Call LLM Inference via x402

x402

FarOut Pay-Per-Call LLM Inference via x402 is a paid API for AI agents from farouter.tech, paid per call via x402, $0.001/call, status unknown (last checked 2026-09-14).

Runs chat completions against frontier LLMs (GPT, Gemini, DeepSeek, GLM, Kimi, MiniMax) with per-request USDC micropayment on Base — no API key or account required

Price / call$0.001

Seller volume →—

Success—

StatusUnknown

How this service works

Fixed-price chat completions for gpt-5.4 on FarOut: flat $0.001 per call (includes up to 4,000 input + 1,000 output tokens). Rate: $0.090/1M input tokens, $0.540/1M output tokens. Pay with USDC on Base using x402. No API key, no account, no prepaid balance.

Output

Returns an OpenAI-compatible JSON response containing choices[].message.content with the assistant's reply, finish_reason (e.g. 'stop'), and a usage object with prompt_tokens and completion_tokens counts.

Example use cases

Autonomous agent LLM calls without accounts

“My on-chain agent needs to call a frontier LLM for every task it processes — use FarOut to send this message to Gemini 3.1 with no API key, paying per request in USDC: 'Summarize the following contract clause in plain English: ...' with up to 300 output tokens.”

Coding assistance via DeepSeek on demand

“I want to ask DeepSeek V4 to review this Python function for bugs and suggest improvements — use FarOut so I only pay for this one call in USDC, no subscription needed. Max 1024 tokens, temperature 0.2.”

Multi-model reasoning comparison

“Run the same question through both GLM 5.3 and Kimi K3 using FarOut's pay-per-call API and show me both answers — question is: 'What are the trade-offs between proof-of-work and proof-of-stake?', limit each to 400 tokens.”

Technical details

Endpoint

POSThttps://farouter.tech/v1/models/gpt-5.4/chat/completions

When to prefer

Choose this endpoint when your agent needs to call frontier LLMs without pre-registering an account or holding an API key — ideal for autonomous agents that need pay-as-you-go USDC micropayments per inference call. Prefer it over OpenAI or Anthropic direct APIs when you want keyless, on-chain-friendly access, or when you need to switch between multiple frontier models (GPT, Gemini, DeepSeek, GLM, Kimi, MiniMax) through a single OpenAI-compatible interface. Particularly well-suited for agent frameworks that already handle x402 payment headers.

Side effects

Payment rejected — insufficient USDC balance or x402 payment not attached; returns 402 Payment Required
Invalid model ID — model not found in /v1/models list; returns 400 or 404
max_tokens too large for selected model context window; returns 400 with token limit error
Messages array empty or malformed role/content; returns 400 validation error
Upstream model provider outage causing 502 or 503 from farouter.tech
Streaming SSE dropped mid-response if network connection interrupted

Input

Schema · Request body

Field	Type	Description
model	string	Model id from GET /v1/models, e.g. glm-5.3. No provider prefix.
stream	boolean	SSE streaming.
messages	array	Chat messages, [OI]-compatible {role, content}.
max_tokens	integer	Output token budget. Drives the quote directly.
temperature	number	Sampling temperature.
max_completion_tokens	integer	Alias of max_tokens (gpt-5.x models).

Output

Schema · Response

{
  "type": "json",
  "example": {
    "usage": {
      "prompt_tokens": 6,
      "completion_tokens": 8
    },
    "choices": [
      {
        "message": {
          "role": "assistant",
          "content": "Hello! How can I help?"
        },
        "finish_reason": "stop"
      }
    ]
  }
}

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How this service works

Output

Example use cases

Autonomous agent LLM calls without accounts

Coding assistance via DeepSeek on demand

Multi-model reasoning comparison

Technical details

Endpoint

POSThttps://farouter.tech/v1/models/gpt-5.4/chat/completions

When to prefer

Side effects

Payment rejected — insufficient USDC balance or x402 payment not attached; returns 402 Payment Required
Invalid model ID — model not found in /v1/models list; returns 400 or 404
max_tokens too large for selected model context window; returns 400 with token limit error
Messages array empty or malformed role/content; returns 400 validation error
Upstream model provider outage causing 502 or 503 from farouter.tech
Streaming SSE dropped mid-response if network connection interrupted

Input

Schema · Request body

Field	Type	Description
model	string	Model id from GET /v1/models, e.g. glm-5.3. No provider prefix.
stream	boolean	SSE streaming.
messages	array	Chat messages, [OI]-compatible {role, content}.
max_tokens	integer	Output token budget. Drives the quote directly.
temperature	number	Sampling temperature.
max_completion_tokens	integer	Alias of max_tokens (gpt-5.x models).

Output

Schema · Response

{
  "type": "json",
  "example": {
    "usage": {
      "prompt_tokens": 6,
      "completion_tokens": 8
    },
    "choices": [
      {
        "message": {
          "role": "assistant",
          "content": "Hello! How can I help?"
        },
        "finish_reason": "stop"
      }
    ]
  }
}