Uncensored LLM API

Ollama Endpoint URL Alternative: Uncensored API

Connect your code to an uncensored LLM with a 100,000 token context window via our OpenAI-compatible ollama endpoint URL.

No subscription, prepaid tokens only
Crypto top-up with bonus credit
Streaming, tools, and JSON mode

Open account View documentation

$0.15per 1M input tokens

$0.50Output tokens / 1M

100,000token context

$0.50trial credit

300requests per minute

Test with one request

curl https://api.ollamaendpointurl.com/v1/chat/completions \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "uncensored",
    "messages": [{"role": "user", "content": "What is the default port for Ollama?"}]
  }'

from openai import OpenAI

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

Core features

OpenAI-Compatible

Drop-in replacement for existing clients with minimal base_url changes.

Large Context

Process massive documents with a 100,000 token input window.

Streaming Support

Receive real-time token usage data via standard Server-Sent Events.

Function Calling

Execute external tools with native support for structured responses.

JSON Mode

Enforce strict JSON output for reliable parsing in automation pipelines.

Crypto Payments

Top up instantly with USDT or USDC and get bonus credit.

Setup guide

Create Account
Sign up with Google or email to get your API key.
Add Credit
Top up with crypto to unlock bonus credit for your usage.
Make Requests
Point your client to our base URL and start generating text.

Common use cases

Content Generation

Produce uncensored creative writing and adult fiction without content filters.

Data Extraction

Parse complex documents reliably using strict JSON mode responses.

Automation Pipelines

Integrate large context windows into automated workflow scripts easily.

Research Tools

Run security research or controversial topics without arbitrary refusals.

Common Mistakes Ollama Users Make With Base URLs and Keys

Users often confuse the native /api/tags endpoint with the OpenAI-compatible /v1/chat/completions path. This mismatch breaks client libraries expecting standard schemas. Always verify your base URL structure before sending requests. Another error is ignoring the API key requirement when using custom endpoints. Ensure your authentication header is correctly configured to avoid unauthorized access errors during integration.

Migrate Your OpenAI-Compatible Client in Three Steps

Update your base URL and API key to switch providers instantly. First, generate a key via Google or email on our signup page. Second, set your client’s base URL to HTTPS://api.ollamaendpointurl.com/v1 and insert the new key. Third, send requests to POST /v1/chat/completions using the model ID "uncensored". This works with any standard OpenAI SDK. No code rewrites needed.

Ollama Endpoint URL: The Uncensored Alternative You Need

The Ollama endpoint URL you need is our hosted, OpenAI-compatible API that runs a single uncensored model for lawful adult use.

Direct Inference

Use POST /v1/chat/completions with 100,000 context window and 16,000 max output tokens. Streaming via SSE includes token usage in the final chunk.

Function Calling

Send tools and tool_choice parameters. Use JSON mode for strict output structures without extra parsing overhead.

Simple Pricing

Pay $0.15 per 1M input tokens and $0.50 per 1M output tokens. Errors are free. Top up with crypto only.

Worked Cost Examples: Token Arithmetic and Real Pricing

Your API cost depends entirely on token volume, not a monthly fee. Input tokens cost $0.15 per million, while output tokens run $0.50 per million. A typical 5,000-input and 1,000-output call consumes $0.00125 total. Errors incur zero charges, so you only pay for generated text. Prepaid credit never expires, ensuring your balance covers future high-volume inference without surprise billing.

Get a working API key in seconds to start generating text immediately.

Sign up via Google or email on the Get API key page; the key displays instantly.
Top up with crypto (USDT or USDC) to activate prepaid credit.
Point your OpenAI-compatible SDK to https://api.ollamaendpointurl.com/v1 with your new key.
Send a POST request to /v1/chat/completions using the uncensored model ID.

Your first token arrives as a streaming SSE response.

Who Uses This API: Ideal For Developers, Not For End Users

Automation engineers use this API to power backend inference pipelines, not casual chat users.

Integrate uncensored responses into custom apps via the OpenAI-compatible endpoint.
Handle high-volume token billing with prepaid crypto credit.

We do not offer a hosted chat website or UI for end users. This is a raw API for developers who need reliable, direct access to an uncensored LLM without subscription locks or complex gateway configurations.

FAQ

What is the ollama endpoint URL for your uncensored API?

It is HTTPS://api.ollamaendpointurl.com/v1. Point your OpenAI-compatible client there. Use the model id "uncensored" for requests. This works with standard SDKs. Configure your API key in the client headers for access.

Which payment methods do you accept?

Crypto only: USDT on TRC20 or USDC on Base, any whole amount from $20 to $500. Bonus credit applies from $50.

How much does the uncensored LLM API cost per token?

It costs $0.15 per 1M input tokens and $0.50 per 1M output tokens. Errors are free. Credit never expires. This prepaid model ensures exact billing. No monthly fees apply to your usage.

Does this API support function calling and streaming?

Yes. It supports streaming via SSE and function calling. You can also use JSON mode. Parameters like temperature and top_p are available. This fits standard OpenAI-compatible client workflows perfectly.

What is the context window limit for requests?

The context window is 100,000 tokens total. Max output is 16,000 tokens per request. Default output is 2,048 tokens. Requests are limited to 8 MB. This supports long documents efficiently.

Is the uncensored model trained on proprietary data from other vendors?

No. It is an open-weight model. We run it on our own servers. Prompts are not used for training. It answers without refusals for lawful adult use. It is independent.

Get your API key

Open account View documentation

Ollama Endpoint URL Alternative: Uncensored API

Test with one request

Core features

OpenAI-Compatible

Large Context

Streaming Support

Function Calling

JSON Mode

Crypto Payments

Setup guide

Create Account

Add Credit

Make Requests

Common use cases

Content Generation

Data Extraction

Automation Pipelines

Research Tools

Common Mistakes Ollama Users Make With Base URLs and Keys

Migrate Your OpenAI-Compatible Client in Three Steps

Ollama Endpoint URL: The Uncensored Alternative You Need

Direct Inference

Function Calling

Simple Pricing

Worked Cost Examples: Token Arithmetic and Real Pricing

From Signup to First Token Generated

Who Uses This API: Ideal For Developers, Not For End Users

FAQ

Get your API key