Getting Started with GPTfake
Get up and running with GPTfake in minutes. Access AI censorship monitoring data, explore our research, or integrate our API into your projects.
Choose Your Path
Researchers & Academics
Want to study AI censorship patterns? Start here:
- Explore Data - Monitoring Dashboard
- Access Datasets - Research Datasets
- Review Methods - Methodology
- Get API Access - API Documentation
Journalists & Writers
Looking for stories about AI behavior?
- Browse Findings - Latest Research
- Read Reports - Blog
- Access Data - API for Media
- Contact Us - info@gptfake.com
Developers
Want to build with our data?
- Get API Key - API Overview
- Install SDK - Python or JavaScript
- Explore Endpoints - API Reference
- Set Up Webhooks - Alerts & Notifications
Quick API Access
Install SDK
# Python
pip install gptfake
# JavaScript
npm install gptfake
First Request
from gptfake import GPTfakeClient
client = GPTfakeClient(api_key="your-api-key")
# Get ChatGPT censorship metrics
metrics = client.monitoring.get_metrics("chatgpt")
print(f"Censorship Rate: {metrics.censorship_rate}%")
print(f"Bias Score: {metrics.bias_score}")
Response
{
"model": "chatgpt",
"censorship_rate": 18.7,
"bias_score": -12,
"transparency_score": 62,
"last_updated": "2024-11-26T06:00:00Z",
"trend": "increasing"
}
Explore the Data
Model Comparison
| Model | Censorship | Bias | Transparency |
|---|---|---|---|
| ChatGPT | 18.7% | -12 | 62/100 |
| Claude | 22.4% | -8 | 85/100 |
| Gemini | 19.8% | -15 | 58/100 |
| Mistral | 11.2% | +3 | 45/100 |
| Qwen | 24.6% | +25 | 35/100 |
Topic Categories
- Political - Historical events, ideologies, leaders
- Ethical - Moral dilemmas, controversial topics
- Social - Identity, culture, religion
- Safety - Harm-adjacent queries
- Scientific - Controversial science topics
Next Steps
Need Help?
- Documentation - You're reading it
- Email - info@gptfake.com
- GitHub - github.com/gptfake