What does 'no filter' really mean for your app?
A no filter LLM behaves differently than standard models. It does not apply broad safety classifiers that block NSFW topics, political controversy, or creative edge cases. Instead, it relies on the base model's training data and alignment tuning. This approach gives you raw, unpolished text that fits apps needing unrestricted generation.
Most gateways add a layer of moderation. They might block a word or two. Our uncensored AI skips that step. You get the model's true output. This matters for creative writers and adult content platforms.
However, no filter does not mean no limits. We still block sexual content involving minors. That is a hard rule. Everything else goes. You can generate dark, weird, or explicit text. The model will not refuse based on your topic alone.
Check 1: Verify the content policy on adult content
Check the specific boundaries of the uncensored AI policy. Some providers allow adult content but block violence. Others block both. You need to know exactly what gets refused.
Look for explicit statements about adult content. Does the provider block specific keywords? Or do they allow them? A true no filter API allows lawful adult themes. It only blocks illegal content or specific violations like minors.
- Ask if sexual content is allowed.
- Check if violence is restricted.
- Confirm if political topics are blocked.
Our policy is simple. No sexual content with minors. Everything else is fair game. This clarity helps you design your app's content filters correctly.
Check 2: Ensure no data training on your prompts
Data privacy is critical for many developers. You do not want your user prompts used to train the model. This is a common concern with free or cheap APIs.
Check the privacy policy. Does the provider store your data? Do they use it for training? A good provider keeps your data separate. They do not use your prompts to improve the model.
Our API uses your prompts only for the request. We do not train on them. This keeps your data private. You can use the API for sensitive content without worry.
Verify this in writing. Look for a clear statement in the terms of service. If it is not there, assume they might use your data.
Check 3: Confirm OpenAI compatibility for easy migration
OpenAI compatibility means you can switch providers easily. Use the same SDKs. Use the same code. Change only the base URL and API key.
This saves development time. You do not need to rewrite your entire app. Just update the endpoint. This is a huge advantage for developers.
- Check for POST /v1/chat/completions.
- Verify GET /v1/models support.
- Test with the official OpenAI SDK.
Our API is fully compatible. It works with any OpenAI client. You can migrate in minutes. This flexibility is key for production apps.
Check 4: Evaluate pricing models (token vs. subscription)
Token pricing is fair. You pay for what you use. Subscription models can be expensive if you do not use the full quota. Token pricing is better for variable usage.
Check the price per million tokens. Input tokens cost less than output tokens. This is standard. Compare the rates across providers.
Our pricing is transparent. $0.15 per million input tokens. $0.50 per million output tokens. No hidden fees. No subscription required. You pay only for what you use.
This model is ideal for apps with variable load. You save money when usage is low. You scale when usage is high.
Check 5: Check for hidden rate limits and quotas
Rate limits can kill your app. Check the requests per minute. Check the concurrent requests. Check the token limits per request.
Some providers have low limits. They might block you during peak times. Others have high limits. They scale with your needs.
- Check requests per minute per key.
- Check concurrent request limits.
- Check max output tokens per request.
Our limits are clear. 300 requests per minute. 8 concurrent requests. 16,000 tokens max output. These limits are generous for most apps. They support high-volume usage.
Check 6: Verify privacy and data retention policies
Data retention policies vary. Some providers keep your data for years. Others delete it immediately. Check how long your data is stored.
Look for a clear retention policy. Do they keep logs? Do they store prompts? A good provider deletes data quickly. This protects your users.
Our policy is strict. We do not use your prompts for training. We keep data minimal. This ensures privacy. You can trust us with sensitive content.
Verify this in the privacy policy. Look for specific details on data storage. If it is vague, ask for clarification.
Check 7: Test streaming and function calling support
Streaming improves user experience. It shows tokens as they are generated. Function calling allows the model to use tools. Both are essential for modern apps.
Check if the API supports streaming. Look for Server-Sent Events (SSE). Check if it supports function calling. This allows the model to call external tools.
- Verify SSE support for streaming.
- Check function calling documentation.
- Test JSON mode for structured output.
Our API supports both. Streaming works via SSE. Function calling is fully supported. JSON mode is available. This gives you full control over the output.
Check 8: Assess payment flexibility (Crypto options)
Crypto payments offer privacy and flexibility. They avoid bank fees. They allow anonymous payments. This is great for privacy-focused users.
Check which crypto currencies are accepted. USDT and USDC are common. Look for bonus credits for larger payments.
- Check accepted crypto currencies.
- Look for bonus credit tiers.
- Verify no subscription fees.
We accept USDT (TRC20) and USDC (Base). Bonus credits start at $50. This makes scaling easy. You pay with crypto. You get more credit.
