Model Access Gateway – GPT-6 Luna Chat Completions (x402, USDC)

x402

Model Access Gateway – GPT-6 Luna Chat Completions (x402, USDC) is a paid API for AI agents from modelaccessgateway.com, paid per call via x402, $0.0014/call, status unknown (last checked 2026-10-16).

Runs OpenAI-compatible chat completions against the gpt-6-luna model, paid per call in USDC via x402 with no account or API key required.

Price / call$0.0014

Seller volume →—

Success—

StatusUnknown

How this service works

LLM inference API: OpenAI-compatible chat completions for 136 AI models (Claude, GPT, Gemini, Grok, DeepSeek, Qwen, Kimi, GLM), paid per call in USDC on Base with x402. No account, no API key, automatic refund if the model fails.

Output

Returns a standard OpenAI-format chat.completion JSON object containing the assistant's reply message, finish reason (e.g. 'stop'), prompt/completion/total token counts, model name, and a unique completion ID. Supports streaming via server-sent events when stream=true. Automatic refund is issued if the model call fails.

Example use cases

Autonomous agent reasoning step

“I need my agent to call GPT-6 Luna through the pay-per-call gateway to reason through this decision: system prompt is 'You are a logical reasoning engine', user message is 'Given these three options, pick the most cost-efficient: A) cloud VM, B) serverless, C) bare metal — with a 5-request-per-hour workload.' Keep max tokens at 512 and temperature at 0.2.”

Serverless chatbot without account signup

“Build me a one-off chatbot reply using the Model Access Gateway — no API key, just pay per call in USDC. System prompt: 'You are a friendly customer support agent for a SaaS tool.' User message: 'How do I reset my password?' Temperature 1.0, max 200 tokens.”

Structured JSON output from LLM

“Call GPT-6 Luna via the pay-per-call gateway and have it return structured JSON: system prompt 'Respond only with valid JSON', user message 'List the top 3 programming languages for data science with a short reason for each.' Set max_tokens to 1024 and response_format to JSON object mode.”

Technical details

Endpoint

POSThttps://modelaccessgateway.com/llm/gpt-6-luna?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need OpenAI-compatible chat completions without an API key or subscription, want to pay micropayments per call in USDC on Base using the x402 protocol, need an automatic refund guarantee if the model fails, or are building an autonomous agent that must self-fund LLM calls via crypto wallet. Prefer it over direct OpenAI or other providers when account-free, pay-per-use stablecoin billing is a hard requirement.

Side effects

Payment rejected or insufficient USDC balance — x402 payment handshake fails before inference runs
Model unavailable or upstream provider error — endpoint returns an error but triggers automatic refund
Invalid messages array (empty or missing required role field) — 400 validation error
max_tokens exceeds 16384 — schema validation error
Temperature outside 0–2 range — validation error
Network timeout on long completions — especially relevant for streaming responses
Malformed response_format object — may cause model to ignore formatting instructions

Input

Schema · Request body

Field	Type	Description
model	string	Optional: fixed by the route (openai/gpt-6-luna)
tools	array
stream	boolean	true: server-sent events after payment
messages	array
max_tokens	integer	Optional, default 4096
temperature	number
response_format	object

Output

Schema · Response

{
  "type": "json",
  "example": {
    "id": "chatcmpl-7f3c2a91",
    "model": "openai/gpt-6-luna",
    "usage": {
      "total_tokens": 10,
      "prompt_tokens": 9,
      "completion_tokens": 1
    },
    "object": "chat.completion",
    "choices": [
      {
        "index": 0,
        "message": {
          "role": "assistant",
          "content": "OK"
        },
        "finish_reason": "stop"
      }
    ],
    "created": 1791979200
  }
}

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