Drop-in API key

Uncensored open source ai api for developers

Get a single uncensored open source AI API key in seconds for a 100,000 token context window with prepaid credits that never expire.

No card needed for trial
Crypto top-ups only
100,000 token context

Try with trial credit View documentation

Test with one API call

curl https://api.uncensoredopensourceai.com/v1/chat/completions \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "uncensored",
    "messages": [{"role": "user", "content": "list python stdlib modules"}]
  }'

from openai import OpenAI

client = OpenAI(base_url="https://api.uncensoredopensourceai.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)

import OpenAI from "openai";

const client = new OpenAI({ baseURL: "https://api.uncensoredopensourceai.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);

per 1M input tokens: $0.15
Output tokens / 1M: $0.50
token context: 100,000
trial credit: $0.50
requests per minute: 300

Features

OpenAI compatible

Use standard SDKs by pointing to our base URL with your API key.

Streaming support

Receive tokens via SSE with usage data included in the final chunk.

JSON mode

Force structured output using the response_format parameter for reliable parsing.

Function calling

Enable tools and tool_choice for dynamic agent workflows.

Prepaid credits

Pay only for real token usage with no monthly subscription fees.

Privacy first

Prompts are not used for training and minimal data is stored.

Setup guide

Create account
Sign in with Google or email to get your API key instantly.
Top up crypto
Add USDT or USDC to unlock your prepaid credit balance.
Start coding
Send POST requests to the chat-completions endpoint with your model ID.

Common use cases

Roleplay applications

Run uncensored character interactions without corporate content filters blocking creative output.

Data extraction

Parse large documents using JSON mode for consistent structured data output.

Agent workflows

Integrate function calling to enable your LLM to interact with external tools.

Prototype testing

Test model behavior with a $0.50 trial credit before committing to larger usage.

What is uncensored open source AI and why it matters

The uncensored open source AI model refuses lawful adult, fictional, or controversial topics without corporate interference, providing a direct API for developers who need raw text generation.

Roleplay and Fiction

Generate character dialogues without personality constraints. Our model supports complex narratives without sudden refusals.

Security Research

Analyze prompt injection vectors freely. Test edge cases where standard models apply unnecessary safety filters.

Content Creation

Produce mature content for adult audiences. Upload scripts and receive unrestricted outputs instantly.

Common mistakes in the uncensored AI niche

Mistakes stem from confusing 'uncensored' with 'open source' or assuming all unrestricted models handle adult content identically. Many developers expect multi-model routing, yet this API serves only one open-weight model via a standard endpoint. Others overlook context limits or expect image generation, which we do not provide. Avoid these errors by verifying the model ID matches your integration, checking that 100k token windows fit your use case, and confirming crypto-only top-ups align with your budget before starting.

Migrate from OpenAI or LiteLLM in three steps

Switch to our uncensored API in minutes by updating your base URL and model ID. First, change your client’s base URL to HTTPS://api.uncensoredopensourceai.com/v1. Second, set the model to “uncensored”. Third, inject your new API key. Your existing code works without modification, though you may adjust max_tokens since our limit is 16,000 tokens per request.

Point your SDK to the new endpoint.
Update the model name.
Start generating text.

Developers ask: uncensored AI benchmarks and privacy

Our API skips complex multi-model routers, serving one uncensored large language model via standard OpenAI-compatible endpoints. Prompts are not used for training, and accounts require only an email address. We do not publish benchmark scores or leaderboard rankings because our single open-weight model prioritizes unrestricted functionality over specific academic metrics. You get a direct, private channel for lawful adult content without corporate refusals or hidden data scraping.

How our API differs from typical alternatives

Our API strips away multi-model routing and corporate fluff, delivering one unrestricted model via a standard OpenAI-compatible endpoint. You get direct access to an open-weight model tuned for lawful adult use, without hidden fees or complex configurations.

Who uses this uncensored AI and who it is not for

Developers building roleplay chatbots, creative writing tools, and privacy-focused LLM integrations use this uncensored AI.

It suits teams needing a single unrestricted endpoint with 100,000-token context windows. Avoid it if you require image generation, embeddings, or model routing. This is strictly a text API.

It is not for users needing SLAs, certifications, or multi-vendor abstraction.

FAQ

What is uncensored open source AI and how does it differ from commercial models?

It is an unrestricted large language model that answers without content refusals for lawful adult use. Unlike commercial options, it lacks embedded corporate ethics. Our API serves this single model via a standard endpoint without routing noise.

How do I connect my existing client to your uncensored AI API?

You update the base URL to HTTPS://api.uncensoredopensourceai.com/v1 and set the model ID to uncensored. This works with any OpenAI-compatible SDK. No complex configuration is needed to start sending requests immediately.

Does the API support streaming responses for real-time applications?

Yes, streaming is fully supported via Server-Sent Events (SSE). Token usage details are included in the final chunk. This allows you to build responsive chat interfaces without waiting for the entire completion.

What is the pricing structure for the uncensored LLM API?

Input tokens cost $0.15 per million and output tokens cost $0.50 per million. Errors and refusals incur no charge. Credits never expire, so you only pay for the actual tokens you consume.

How much context can the model process in a single request?

The context window supports 100,000 tokens for both prompt and completion combined. You can generate up to 16,000 output tokens per request. If max_tokens is unset, the limit defaults to 2,048 tokens.

Can I use the API for function calling and JSON mode?

Yes, the API supports tool usage and JSON mode via the response_format parameter. You can specify tool_choice and define custom functions. This enables structured data extraction and automated agent workflows.

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