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Uncensored LLM API

Cursor api key integration guide

Get a custom cursor API key for our OpenAI-compatible endpoint with a 100k token context window, ready for uncensored coding and creative work.

  • POST /v1/chat/completions
  • $0.15 per 1M input tokens
  • Crypto top-ups only
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Test with one request

curl https://api.keyapicursor.com/v1/chat/completions \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "uncensored",
    "messages": [{"role": "user", "content": "Fix syntax error in function parseData"}]
  }'
per 1M input tokens
$0.15
Output tokens / 1M
$0.50
token context
100,000
trial credit
$0.50
requests per minute
300

Core features

OpenAI Compatible

Drop-in base_url works with official SDKs and tools like Cursor.

Deep Context

Process 100,000 tokens per request for complex codebases without limits.

Streaming Support

Receive real-time SSE responses with token usage in the final chunk.

Function Calling

Supports tools, tool_choice, and strict JSON mode for reliable automation.

Simple Pricing

Transparent token rates with no monthly fees or hidden subscription costs.

Crypto Payments

Top up via USDT or USDC with bonus credits on larger deposits.

Setup process

  1. Create Account

    Sign in with Google or email to receive your API key instantly.

  2. Add to Cursor

    Paste the key into Cursor settings to enable the uncensored model.

  3. Start Generating

    Send requests to /v1/chat/completions and receive text responses immediately.

Common use cases

Uncensored Code Generation

Get raw, unfiltered code suggestions without content refusals for creative tasks.

Large Context Analysis

Upload entire project files into the 100k token window for context.

Automated Tool Use

Leverage function calling to automate workflows with precise JSON responses.

Dev Testing

Use the trial credit to test the API before adding crypto funds.

Common mistakes developers make when configuring uncensored models in Cursor

Why your custom key fails

Developers often assume any OpenAI-compatible endpoint works identically in Cursor. This is incorrect. Our uncensored LLM requires the base URL HTTPS://api.keyapicursor.com/v1 and model ID "uncensored". Sending requests to a different vendor’s endpoint without adjusting the base URL causes immediate 404 errors. Additionally, forgetting to update the base_url parameter in your SDK client breaks streaming. Always verify your provider settings under Settings → Providers before testing.

A checklist for choosing the right uncensored LLM provider

Verify compatibility first. Ensure the provider offers a standard chat-completions endpoint that accepts your existing cursor api key without requiring custom headers or middleware. Check the pricing model carefully. Uncensored providers often charge per token, so confirm whether refusals count against your quota. Confirm the context window size. A 100k window allows deeper code analysis, but verify the maximum output length per request. Ensure the base URL is stable and supports streaming via SSE for real-time coding assistance.

cursor API key: essential use cases for developers

The uncensored LLM API delivers direct, OpenAI-compatible responses for coding and creative tasks without standard content refusals.

Uncensored coding

Generate code without model-level blocks on controversial topics.

Custom API key

Use your own key with existing OpenAI SDKs.

Transparent pricing

Pay only for real tokens used in requests.

Fast integration

Point your Cursor config to our base URL immediately.

Worked cost examples: uncensored vs standard pricing

Predictable token arithmetic

Our uncensored API charges $0.15 per 1M input tokens and $0.50 per 1M output tokens.

A 10K prompt with 2K completion costs exactly $0.0035.

No hidden subscription fees or rate-limit overages apply.

Errors and refusals are free, ensuring you pay only for real output.

This transparent model simplifies budgeting for high-volume coding tasks.

Compare this against variable standard provider rates to see the savings.

Frequently Asked Questions About API Keys

Developers primarily want to know how to get a key and whether it works with their current setup. You can sign up instantly via Google or email to receive your token immediately. This uncensored LLM endpoint integrates directly into Cursor by pasting the key into Settings → Providers. There are no rate limits imposed by the provider, and prepaid credit covers usage transparently. The system supports streaming, JSON mode, and standard parameters.

Moving from another OpenAI-compatible provider in three steps

Switching your cursor api key to our uncensored LLM takes three minutes. First, generate a new key via Google or email login. Second, paste the base URL into Cursor settings. Third, set the model ID to uncensored. You retain full function calling and streaming support. Credit tops up via USDT or USDC with instant bonus credits.

Frequently asked questions

What is the cursor API key and how do I get one?

It is a credential for API access. Sign up with Google or email to receive it immediately.

Does the uncensored model support streaming responses?

Yes, it supports streaming via Server-Sent Events. You receive token usage details in the final chunk, allowing for real-time output display in your developer client without waiting for the full completion.

What are the rate limits for a single API key?

You get 300 requests per minute and eight simultaneous requests. If you need more concurrency, you must manage multiple keys, as each account is restricted to one active key at any time.

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 cost per token?

Input tokens cost fifteen cents per million. Output tokens cost fifty cents per million. Errors and refusals incur no charge, and your prepaid credit never expires regardless of when you used it.

Can I use JSON mode with the uncensored model?

Yes, you can set the response format to json_object. This ensures structured output suitable for programmatic parsing, working alongside standard parameters like temperature and top_p for consistent formatting results.

Get your key in seconds

Sign up, copy your key, update the base URL. That is all.

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