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CortexCloud Chat Completions Gateway
x402
CortexCloud Chat Completions Gateway is a paid API for AI agents from api.cortexcloud.org, paid per call via x402, $0.005/call, status unknown (last checked 2026-09-14).
Provides an OpenAI-compatible chat completions endpoint that routes requests to any supported AI model, with per-call USDC micropayment billing via x402 on Base — no API keys or subscriptions required.
Price / call$0.005
Success—
StatusUnknown
How this service works
OpenAI-compatible AI and data API for agents. Pay per call in USDC on Base via x402 — no API keys, no subscriptions, no lock-in.
Output
Returns an OpenAI-compatible chat completion response object containing: a unique completion ID, an object type identifier, an array of response choices (each with a message and finish reason), and a usage object showing token counts for prompt and completion.
Example use cases
Keyless LLM inference for autonomous agents
“I'm building an AI agent pipeline that shouldn't hardcode any API keys — use CortexCloud to call gemini/gemini-2.0-flash with this system prompt and user message, paying per call from my USDC wallet on Base.”
Multi-model comparison without subscriptions
“I want to compare responses from a few different LLMs on the same prompt without signing up for each provider — run my question through CortexCloud using the model ID 'gemini/gemini-2.0-flash' and let it bill per call in USDC.”
Streamed chat response for real-time UI
“Call CortexCloud's chat completions endpoint with stream mode enabled for gemini/gemini-2.0-flash so I can display the AI's answer token by token as it arrives — use my Base USDC for the per-call payment.”
Technical details
Endpoint
GEThttps://api.cortexcloud.org/x402/v1/chat/completionsWhen to prefer
Choose this endpoint when an AI agent needs to call LLM chat completions without managing provider-specific API keys or subscription billing — especially in agentic, multi-model, or trustless environments where paying per-call in USDC on Base is preferable to monthly subscriptions. It is ideal for agent-to-agent commerce, serverless pipelines, or any scenario requiring OpenAI-compatible inference with crypto micropayments and no vendor lock-in.
Side effects
- Insufficient USDC balance for x402 payment — payment rejected before inference runs
- Invalid or unsupported model ID — model not found or not routable
- Malformed messages array — missing required fields causes 400 error
- Rate limiting or capacity issues on the underlying model provider
- Network timeout if the upstream model provider is slow or unavailable
- Stream connection dropped mid-response if client disconnects early
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| model | string | Model id, e.g. gemini/gemini-2.0-flash |
| stream | boolean | |
| messages | array | |
| max_tokens | integer | |
| temperature | number |
Output
Schema · Response
{
"type": "object",
"format": "application/json",
"example": {
"id": "chatcmpl-abc",
"usage": {
"prompt_tokens": 0,
"completion_tokens": 0
},
"object": "chat.completion",
"choices": []
}
}Tags
x402
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