FarOut Pay-Per-Call LLM Inference (GPT-5.6-Luna)

x402

FarOut Pay-Per-Call LLM Inference (GPT-5.6-Luna) is a paid API for AI agents from farouter.tech, paid per call via x402, $0.002/call, status unknown (last checked 2026-09-14).

Runs chat completions against GPT-5.6-Luna via a pay-per-call gateway that charges $0.001 USDC on Base per request with no API key or account required.

Price / call$0.002

Seller volume →—

Success—

StatusUnknown

How this service works

Fixed-price chat completions for gpt-5.6-luna on FarOut: flat $0.002 per call (includes up to 4,000 input + 1,000 output tokens). Rate: $0.016/1M input tokens, $0.096/1M output tokens. Pay with USDC on Base using x402. No API key, no account, no prepaid balance.

Output

An OpenAI-compatible chat completion response containing an assistant message, finish reason, and token usage counts (prompt_tokens and completion_tokens). Streaming SSE chunks are also available when stream is set to true.

Example use cases

Autonomous agent reasoning step

“I need you to call GPT-5.6-Luna through FarOut — no API key, just pay per call in USDC — and ask it: 'Given the following sensor readings, which anomaly is most likely a hardware fault?' Use 1024 max tokens and temperature 0.”

Keyless coding assistant for a script

“Run this through FarOut's GPT-5.6-Luna endpoint: 'Write a Python function that batches API calls with exponential backoff and returns aggregated results.' Cap the output at 800 tokens.”

Agentic summarisation with no account

“Without needing an API key, use FarOut to call GPT-5.6-Luna and summarise this article in 5 sentences: [article text]. Keep temperature at 0.3 and limit the response to 300 tokens.”

Technical details

Endpoint

POSThttps://farouter.tech/v1/models/gpt-5.6-luna/chat/completions

When to prefer

Choose this endpoint when you need GPT-5.6-Luna inference without an OpenAI account or prepaid API credits — particularly in autonomous agent pipelines that already handle x402 USDC micropayments on Base. It is ideal for pay-as-you-go usage patterns, serverless or ephemeral agents, or situations where managing API keys is impractical. Prefer alternatives if you need guaranteed OpenAI SLA, direct OpenAI billing, or models not offered by FarOut.

Side effects

Insufficient USDC balance or failed x402 payment returns a 402 Payment Required error
Invalid or unsupported model ID returns a 400 Bad Request
Messages array is empty or malformed, returning a validation error
Rate limiting or upstream model unavailability returns a 503 or 429
max_tokens set too low causes truncated or empty completions

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. Sets your spending cap; actual usage is what gets settled (true-up).
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 reasoning step

Keyless coding assistant for a script

“Run this through FarOut's GPT-5.6-Luna endpoint: 'Write a Python function that batches API calls with exponential backoff and returns aggregated results.' Cap the output at 800 tokens.”

Agentic summarisation with no account

“Without needing an API key, use FarOut to call GPT-5.6-Luna and summarise this article in 5 sentences: [article text]. Keep temperature at 0.3 and limit the response to 300 tokens.”

Technical details

Endpoint

POSThttps://farouter.tech/v1/models/gpt-5.6-luna/chat/completions

When to prefer

Side effects

Insufficient USDC balance or failed x402 payment returns a 402 Payment Required error
Invalid or unsupported model ID returns a 400 Bad Request
Messages array is empty or malformed, returning a validation error
Rate limiting or upstream model unavailability returns a 503 or 429
max_tokens set too low causes truncated or empty completions

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. Sets your spending cap; actual usage is what gets settled (true-up).
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"
      }
    ]
  }
}