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x402engine GPT-6 Luna LLM API
x402
x402engine GPT-6 Luna LLM API is a paid API for AI agents from x402engine.app, paid per call via x402, $0.003144/call, status unknown (last checked 2026-10-12).
Provides pay-per-call access to OpenAI's GPT-6 Luna model for chat, classification, and lightweight agentic tasks via HTTP 402 micropayments
Price / call$0.003144
Success—
StatusUnknown
How this service works
x402engine — GPT-6 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, positioned below GPT-6 Sol. It is suited for high-volume and latency-sensitive workloads such as chat, classification, and lightweight agentic...
Output
Returns an OpenAI-compatible chat completion JSON object with the model name ('openai/gpt-6-luna'), a choices array containing the assistant message with role and content, a finish_reason (e.g. 'stop'), and a top-level 'content' field with the response text. Supports streaming (SSE) and tool call responses.
Example use cases
High-volume customer support triage
“Use GPT-6 Luna to classify this support ticket as billing, technical, or general inquiry, then draft a short reply: 'I was charged twice for my subscription last week and can't log into my account.'”
Agentic tool-calling workflow
“Send this conversation to GPT-6 Luna with a get_weather function tool defined, user message is 'What's the weather like in Tokyo right now?' — let it decide whether to call the tool.”
Streaming chat completion for live UI
“Stream a GPT-6 Luna response to this user message so I can display it token-by-token: 'Explain how transformer attention works in simple terms, in about 3 paragraphs.'”
Technical details
Endpoint
POSThttps://x402engine.app/api/llm/gpt-6-luna?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need fast, cost-efficient LLM inference at scale with pay-per-call pricing (no subscription required), particularly for chat, text classification, or lightweight agentic tool-calling tasks. Prefer it over heavier GPT-6 Sol-tier models when latency and per-call cost are priorities. Best suited for high-volume agent pipelines where you want OpenAI-compatible API responses without managing API keys or subscriptions.
Side effects
- Payment not settled — 402 response if USDC micropayment fails or is insufficient
- Invalid messages array — missing required 'role' or 'content'/'tool_calls' fields returns validation error
- Unsupported model capability — requesting features not supported by GPT-6 Luna returns error
- Stream requested but client doesn't handle SSE — partial or broken response
- Tool call format malformed — incorrect function definition schema causes rejection
- Rate limiting or overload — service may return 429 or 503 during high demand
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"model": "openai/gpt-6-luna",
"choices": [
{
"index": 0,
"message": {
"role": "assistant",
"content": "Hello!"
},
"finish_reason": "stop"
}
],
"content": "Hello!"
}
}Tags
x402
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