Quickstart: Integrate the Uncensored Text API

Base URL and Authentication

Start by setting your base URL to https://api.contentmoderationapis.com/v1. This endpoint is compatible with official OpenAI SDKs and any OpenAI-compatible client. You will need an API key, which you can generate immediately after signing up with just an email and password on the Get API key page. The key is displayed once; save it securely. Each account allows one key, which can be regenerated at any time, revoking the old one. No card is required for the trial credit.

First Request

Send a POST request to /v1/chat/completions with your key in the Authorization header. Use the model ID uncensored to access the uncensored large language model. The model handles prompt refinement, script writing, and captioning without the restrictions typical of major providers. It is an open-weight model tuned for lawful adult use, excluding sexual content involving minors. Ensure your request body stays under 8 MB.

Copycurl https://api.contentmoderationapis.com/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 SDK to interact with the API. Set the base_url and api_key in your client initialization. This approach works seamlessly with existing codebases designed for OpenAI. The model supports tool calling and streaming. Configure the client to point to our base URL to route requests through our uncensored inference engine. This is ideal for post-processing text generated by other modalities or for refining prompts before sending them to image or video models.

Copyfrom openai import OpenAI

client = OpenAI(base_url="https://api.contentmoderationapis.com/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 Example

Initialize the OpenAI Node.js client with the custom base URL and your API key. The uncensored model responds to standard chat completions parameters. You can pass system prompts to guide the tone or format of the output. This is useful for generating structured data or consistent styles for captions and scripts. The API handles the text generation component of your pipeline, allowing you to focus on integrating the output into your image, video, or voice workflows.

Copyimport OpenAI from "openai";

const client = new OpenAI({ baseURL: "https://api.contentmoderationapis.com/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. This reduces perceived latency for users waiting for long-form content like scripts or detailed captions. Streaming works with both the raw HTTP client and the SDKs. Monitor the stream for errors or completion events to handle the final response. This method is efficient for large context windows up to 100,000 tokens.

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)

Rate Limits, Errors, and Quotas

The API enforces a limit of 300 requests per minute per key. If you exceed this, you will receive a 429 status code. Authentication errors return 401 for invalid keys, and 402 indicates insufficient prepaid credit. Requests are charged based on input tokens ($0.25 per 1M) and output tokens ($1.00 per 1M). Credits are prepaid, never expire, and require no subscription. The model does not offer image, audio, or video generation, nor does it provide embeddings or fine-tuning. Use this API strictly for text generation tasks in your content pipeline.