Building applications that need AI without content restrictions? Whether you are creating a chatbot, content generation pipeline, creative writing tool, or adult platform, the uncensored AI API from NinjaChat gives you programmatic access to 15+ unfiltered language models with a simple, OpenAI-compatible interface. This guide walks you through everything you need to get started.
Why Use an Uncensored API?
Standard AI APIs from OpenAI, Anthropic, and Google enforce the same content restrictions as their consumer products. If your application requires reliable, never-refusing AI responses — whether for creative tools, entertainment platforms, research applications, or any product where content censorship is a problem — you need an API that provides uncensored model access.
The NinjaChat API provides exactly this: multiple unfiltered models accessible through a single API key, with no content filtering on input or output. Your application gets direct, uncensored responses every time.
Getting Started
Step 1: Get Your API Key
Sign up at Get API Access and generate an API key from your dashboard. The free tier includes a generous monthly allowance to test and prototype your integration.
Step 2: Make Your First Request
The API uses an OpenAI-compatible format, so if you have worked with the OpenAI API before, the transition is seamless. Here is a basic example:
curl -X POST https://api.ninjachat.ai/v1/chat/completions \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "dolphin-mixtral",
"messages": [
{"role": "system", "content": "You are an uncensored AI assistant."},
{"role": "user", "content": "Your prompt here"}
],
"stream": false
}'The response format matches the OpenAI chat completions spec, making it a drop-in replacement for any application currently using the OpenAI SDK.
Step 3: Choose Your Model
The API provides access to all models available on the NinjaChat Models page. Popular choices for API integrations include:
- dolphin-mixtral: Fast, reliable, and great for general-purpose uncensored chat. Best balance of speed and quality.
- llama-3-uncensored-70b: Higher quality output for applications that need the best possible responses and can tolerate slightly higher latency.
- mistral-uncensored: Excellent for multilingual applications and European markets.
- nous-hermes-2: Strong instruction following, ideal for structured output and function calling use cases.
Streaming Responses
For real-time applications like chatbots, enable streaming by setting "stream": true in your request. The API returns server-sent events (SSE) with incremental token delivery, giving your users the same responsive feel as typing-in-progress indicators.
Streaming is essential for any user-facing application. It dramatically improves perceived performance and allows you to start displaying the response before the model has finished generating it.
Best Practices for Production
Error Handling
Implement exponential backoff for rate limit errors (HTTP 429). The API returns standard HTTP status codes and JSON error bodies that match the OpenAI error format, so existing error handling logic will work out of the box.
System Prompts
Use the system message to establish your application's personality and constraints. Even with uncensored models, a well-crafted system prompt improves response quality and consistency. Define the AI's role, tone, knowledge boundaries, and output format in the system message.
Context Management
Each model has a context window limit (typically 8K to 128K tokens depending on the model). For conversation-based applications, implement a sliding window or summarization strategy to keep the conversation history within the model's context limit. Trim older messages when approaching the limit rather than truncating mid-message.
Model Selection Strategy
Consider using different models for different tasks within your application. Route simple queries to faster, smaller models (dolphin-mixtral) and complex, quality-sensitive tasks to larger models (llama-3-uncensored-70b). This optimizes both cost and performance.
Use Case Examples
- Chatbot platforms: Build conversational bots that never refuse user prompts. Ideal for entertainment, companionship, and roleplay applications.
- Content generation: Automate the creation of articles, stories, product descriptions, and marketing copy without content filters blocking your pipeline.
- Creative tools: Power writing assistants, story generators, and interactive fiction engines with uncensored AI that handles any genre or theme.
- Research platforms: Build tools that analyze and discuss sensitive topics without the AI deflecting or refusing to engage.
Pricing and Limits
The API is billed per token with rates that vary by model. The free tier includes enough tokens for prototyping and light production use. For higher volumes, View Pricing to see per-model rates and plan options.
Ready to build with uncensored AI? Try NinjaChat to test models interactively, then grab your API key and start integrating. The combination of OpenAI-compatible format, multiple uncensored models, and straightforward pricing makes it the fastest way to add unfiltered AI to your application.