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. Pick the path that matches who you are.

Choose your path

Core concepts

The terms and metrics you’ll meet — censorship rate, bias score, transparency, policy drift.

Quick start

Make your first API call and read your first censorship metric in five minutes.

Use cases

How researchers, journalists, and developers actually use GPTfake data.

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 — Reports
Compare models — Head-to-head comparisons
Contact us — [email protected]

Developers

Want to build with our data?

Get an API key — API overview
Install an SDK — Python or JavaScript
Explore endpoints — API reference
Set up webhooks — policy-change alerts

Quick API access

Install the 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": "2026-06-16T06:00:00Z",
  "trend": "increasing"
}

Explore the data

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

Illustrative figures for orientation — see live, dated data per model and how we test. Last updated June 2026.

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?

FAQ — common questions
Support — troubleshooting & contact
Email — [email protected]