Publications
The publications endpoint returns GPTfake’s formal write-ups — papers and reports — with citation metadata and links to the datasets behind them. Use it to surface our research in your own tools or to build a “how to cite” workflow.
List publications
GET /research/publicationsQuery parameters:
| Param | Values | Default |
|---|---|---|
year | e.g. 2024 | all |
model | any model id | all |
topic | censorship, bias, transparency, policy | all |
curl "https://api.gptfake.com/v1/research/publications?year=2024" \
-H "Authorization: Bearer YOUR_API_KEY"Response:
{
"publications": [
{
"id": "pub_censorship_q4_2024",
"title": "AI Censorship Trends — Q4 2024",
"authors": ["GPTfake Research"],
"published": "2024-11-01",
"topic": "censorship",
"dataset_id": "ds_q4_2024",
"citation": "GPTfake (2024). AI Censorship Trends — Q4 2024.",
"url": "https://gptfake.com/reports"
}
]
}Get a single publication
GET /research/publications/{publication_id}The response includes the abstract, named authors, a ready-to-use citation string, the linked dataset_id, and a canonical url.
Next steps
- Export the backing dataset for a publication.
- Browse the underlying studies.
GPTfake