# GPUOps AI Inference Proxy

> GPUOps AI Inference Proxy is a paid API for AI agents from ai.gpuops.io, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-14).

OpenAI-compatible chat completions API supporting 63 models, billed per-call via USDC micropayments on Base

## Facts

- Endpoint: POST https://ai.gpuops.io/v1/chat/completions
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-14
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/gpuops-ai-inference-proxy-64978e39
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_n54Rp0rv19udWQ7JYhgi-

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability gpuops-ai-inference-proxy-64978e39 -d '<json body>'
```

Example prompt: Using GPUOps, send this message to the mistral-7b-instruct model and get a reply: 'Summarize the key benefits of renewable energy in 3 bullet points' — allow up to 512 tokens and use a temperature of 0.7.

## When to prefer this

Choose this endpoint when you need pay-per-call LLM inference without a subscription commitment, especially in agentic or automated pipelines that already handle USDC/Base payments. Ideal when you want access to a broad selection of 63 models through a single OpenAI-compatible interface, or when your application needs to pay for inference programmatically using x402 crypto micropayments rather than managing API keys and billing accounts.

## Known failure modes

- Insufficient USDC balance causes payment failure with 402 response
- Invalid or unsupported model name returns 400 or 404 error
- Exceeding max_tokens limit may truncate output or return error
- Malformed messages array structure causes 400 bad request
- Network timeout if model inference takes too long for complex prompts
- Rate limiting if too many concurrent requests are sent

## How this service works

OpenAI-compatible AI inference API with 63 models. x402 pay-per-call with USDC on Base.

## Output

Returns an OpenAI-compatible chat completion response object containing the assistant's generated message content, model used, finish reason, and token usage statistics (prompt tokens, completion tokens, total tokens).

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "model": {
   "type": "string"
  },
  "messages": {
   "type": "array"
  },
  "max_tokens": {
   "type": "integer"
  },
  "temperature": {
   "type": "number"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/gpuops-ai-inference-proxy-64978e39/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from ai.gpuops.io](https://www.zero.xyz/host/ai.gpuops.io/llms.txt)