Chat

Perceptron provides an OpenAI-compatible chat completions API. No subscription or credit card needed. You pay per token using credits purchased with USDT.

The API also supports streaming. You can use the OpenAI SDK or other LLM inference libraries pointed at Perceptron as a drop-in replacement for the OpenAI API.

Base URL

https://perceptron.cloud/api/v1

Authentication

Include your API key in the Authorization header:

Authorization: Bearer YOUR_API_KEY

Generate an API key from the Keys page in the Perceptron app.

Available Models

curl https://perceptron.cloud/api/models

Common options:

Model	Context
Deepseek V4 Flash	1M
Kimi K2.6	1M

Chat Completions

POST /api/v1/chat/completions

Request

{
  "model": "moonshotai/kimi-k2.6",
  "messages": [
    {
      "role": "user",
      "content": "What is the capital of Japan?"
    }
  ]
}

Response

{
  "id": "chatcmpl-abc123",
  "object": "chat.completion",
  "created": 1700000000,
  "model": "moonshotai/kimi-k2.6",
  "choices": [{
    "index": 0,
    "message": {
      "role": "assistant",
      "content": "The Capital of Japan is Tokyo."
    },
    "finish_reason": "stop"
  }],
  "usage": {
    "prompt_tokens": 10,
    "completion_tokens": 10,
    "total_tokens": 20
  }
}

Streaming

Set "stream": true to receive a Server-Sent Events (SSE) stream. Each event contains a delta:

data: {"id":"chatcmpl-abc123","object":"chat.completion.chunk","choices":[{"delta":{"content":"Hello"},"index":0}]}

data: [DONE]

curl Example

curl https://perceptron.cloud/api/v1/chat/completions \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "qwen3-coder-next",
    "messages": [{"role": "user", "content": "Hello!"}],
    "stream": true
  }'

Python Example

import requests
import json

response = requests.post(
  url="https://perceptron.cloud/api/v1/chat/completions",
  headers={
    "Authorization": "Bearer <PERCEPTRON_API_KEY>",
    "HTTP-Referer": "<YOUR_SITE_URL>", # Optional site URL for rankings on Perceptron Store.
    "X-Perceptron-Title": "<YOUR_SITE_NAME>", # Optional site title for rankings on Perceptron Store.
  },
  data=json.dumps({
    "model": "deepseek/deepseek-v4-pro",
    "messages": [
      {
        "role": "user",
        "content": "What is the purpose of life?"
      }
    ]
  })
)

Pricing

Chat inference is billed from your credits balance. See Billing for more details.