Monitor AI Model
Censorship Patterns
Track how ChatGPT, Claude, Gemini, Mistral, and Qwen handle sensitive topics. Daily automated testing reveals censorship rates, bias patterns, and policy changes that AI companies don't announce publicly.
Why GPTfake?
Independent AI transparency monitoring with open methodology and public data
Independent Monitoring
Unbiased daily testing of major AI models without corporate influence
- No corporate sponsorship
- Transparent methodology
- Reproducible results
- Community verification
Bias Detection
Systematic analysis of political, cultural, and ideological biases in AI responses
- Political spectrum scoring
- Topic-specific analysis
- Cross-model comparison
- Temporal tracking
Regional Analysis
Track how AI models respond differently based on user location
- 15+ regions monitored
- VPN-based testing
- Regulatory compliance
- Geographic fairness
Daily Updates
Automated testing runs every 24 hours with historical trend analysis
- 24-hour monitoring cycle
- Policy change alerts
- Historical archives
- Trend detection
Open Data API
Full access to monitoring data through RESTful API for researchers
- RESTful endpoints
- JSON/CSV exports
- Historical data
- Rate limit friendly
Research Publications
Peer-reviewed research and open datasets for academic use
- Academic partnerships
- Open datasets
- Methodology papers
- Citation support
What We Offer
Comprehensive tools and data for AI transparency research and monitoring
AI Monitoring
Daily automated testing of ChatGPT, Claude, Gemini, Mistral, and Qwen
- Censorship rate tracking
- Bias detection
- Regional variations
- Historical trends
Research
Academic-grade research on AI censorship patterns and transparency
- Longitudinal studies
- Policy analysis
- Comparative research
- Open datasets
API Access
RESTful API for accessing monitoring data and historical records
- Real-time metrics
- Historical data
- Bulk exports
- Webhook alerts
Analytics
Visual dashboards and trend analysis of AI behavior patterns
- Interactive charts
- Model comparisons
- Trend detection
- Custom reports
Policy Alerts
Real-time notifications when AI models change their behavior
- Policy change detection
- Email notifications
- RSS feeds
- Changelog tracking
Tools
Open source tools for independent AI transparency research
- Prompt library
- Testing framework
- Analysis scripts
- Data validation
Models We Monitor
Daily automated testing of major AI models reveals censorship patterns and bias trends
ChatGPT
OpenAIWorld's most popular LLM with moderate censorship levels and slight liberal bias
Claude
AnthropicConstitutional AI approach with highest transparency but more refusals
Gemini
GoogleStrongest regional variations in censorship behavior across geographies
Mistral
Mistral AIEuropean model with lowest overall censorship rates among major LLMs
Qwen
AlibabaChinese model with highest censorship rates, especially on political topics
Join the AI Transparency Movement
Access our open monitoring data, contribute to research, or build your own analysis tools. GPTfake provides free, public access to AI censorship data that helps researchers, journalists, and citizens understand how AI shapes information access.