Switch your client in three lines

Base URL and Authentication

Connect your existing client to https://api.groknsfw.top/v1 by updating the base URL. Authentication uses a Bearer token sent in the Authorization header. Generate your key via Google or email on the dashboard; no phone number is required. The key is displayed once at creation, so save it securely. Errors and refusals do not consume credit, ensuring you only pay for actual token usage.

First Request

Send a standard chat completion request to test connectivity. The endpoint accepts a model ID of uncensored and returns text responses. Use the following cURL command to verify your API key and base URL configuration.

Copycurl https://api.groknsfw.top/v1/chat/completions \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "uncensored",
    "messages": [{"role": "user", "content": "Write a blunt product review of a cheap VPN."}]
  }'

Python SDK Integration

Use the official OpenAI Python library to interact with the endpoint. Initialize the client with your key and the custom base URL. Set the model to uncensored to access the uncensored large language model. This approach allows you to reuse existing codebases designed for other providers.

Copyfrom openai import OpenAI

client = OpenAI(base_url="https://api.groknsfw.top/v1", api_key="YOUR_KEY")

resp = client.chat.completions.create(
    model="uncensored",
    messages=[{"role": "user", "content": "Summarise this thread without softening it."}],
)
print(resp.choices[0].message.content)

Node.js SDK Setup

Initialize the OpenAI Node.js client with the baseURL pointing to our service. Pass your API key in the apiKey field. Call the chat completions endpoint with the uncensored model. This method works seamlessly with standard OpenAI-compatible clients for high-volume NSFW workflows.

Copyimport OpenAI from "openai";

const client = new OpenAI({ baseURL: "https://api.groknsfw.top/v1", apiKey: process.env.API_KEY });

const resp = await client.chat.completions.create({
  model: "uncensored",
  messages: [{ role: "user", content: "Draft a villain monologue for my game." }],
});
console.log(resp.choices[0].message.content);

Streaming Responses

Enable streaming by setting stream: true in your request. The API returns Server-Sent Events (SSE) for real-time token delivery. Token usage details are included in the final chunk of the stream. This reduces perceived latency for interactive NSFW applications.

Copystream = client.chat.completions.create(
    model="uncensored",
    messages=[{"role": "user", "content": "Tell the story in second person."}],
    stream=True,
)
for chunk in stream:
    if chunk.choices and chunk.choices[0].delta.content:
        print(chunk.choices[0].delta.content, end="", flush=True)

Limits and Errors

Each key supports 300 requests per minute and 8 concurrent requests. The request body limit is 8 MB, and the context window is 64,000 tokens. Handle HTTP 401 for invalid keys, 402 for insufficient credit, and 429 for rate limits. Errors are free, so failed requests do not deplete your prepaid balance.