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MapleAI GPT API (x402 Pay-Per-Request)
x402
MapleAI GPT API (x402 Pay-Per-Request) is a paid API for AI agents from base.mapleai.shop, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-02).
Generates text responses from one of four GPT models (GPT-5.6 Sol, GPT-5.6 Terra, GPT-6 Luna, GPT-6 Sol) via an OpenAI-compatible endpoint, billed at $0.01 USDC per request on Base.
Price / call$0.01
Success—
StatusUnknown
How this service works
OpenAI-compatible Responses API (alpha), translated to chat completions upstream
Output
A JSON object containing a response ID, object type, status ('completed'), an output array, and an 'output_text' field with the model's generated text reply.
Example use cases
One-off GPT query for research
“Ask MapleAI's GPT-6 Sol to summarize the main arguments for and against universal basic income in under 300 tokens — I just need a quick answer without signing up for a subscription.”
Agent drafting personalized emails
“Use MapleAI with the GPT-5.6 Terra model to write a professional follow-up email after a job interview at a fintech startup, keeping the response under 200 tokens.”
Reasoning task for coding assistant
“Send this Python error to MapleAI's GPT-6 Luna and ask it to diagnose and fix the bug — limit the response to 400 tokens: 'TypeError: unsupported operand type(s) for +: int and str on line 42.'”
Technical details
Endpoint
POSThttps://base.mapleai.shop/api/v1/responses?utm_source=zero.xyzWhen to prefer
Prefer this endpoint when you want OpenAI-compatible GPT inference on a pay-per-request basis using USDC on Base, with no subscription required. Ideal for agents or pipelines that need sporadic or low-volume GPT calls and want to avoid flat-rate API key billing. Also preferred when you want to choose among multiple GPT model tiers (5.6 vs 6, Sol vs Terra vs Luna) within a single endpoint.
Side effects
- Payment failure if USDC balance is insufficient or x402 payment is rejected
- Invalid model ID returns an error — must use a valid ID from GET /v1/models
- Prompt too long or max_output_tokens out of range causes validation error
- Network timeout if the model takes too long to respond
- Rate limiting or quota errors if the endpoint is overloaded
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| input | string | |
| model | string | Model ID from GET /v1/models |
| max_output_tokens | integer |
Output
Schema · Response
{
"type": "json",
"example": {
"id": "resp_example",
"object": "response",
"output": [],
"status": "completed",
"output_text": "Hello!"
}
}Tags
x402
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