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Saved February 14, 2026
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ExoPriors Scry offers a powerful research tool that allows users to query a vast corpus of over 3 billion documents using natural language. It combines SQL and vector searches, enabling deep exploration of topics across academic, social, and news sources without needing to write complex queries. Users can set alerts for new findings and leverage various operations to refine their research.
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ExoPriors Scry offers a powerful research tool designed to navigate vast amounts of information related to the intelligence explosion. Users can pose complex questions in natural language, and the system translates those inquiries into SQL and vector queries without requiring any technical knowledge from the user. The underlying corpus includes over 3 billion documents and more than 110 million embeddings, making it a rich resource for researchers.
The corpus draws from a wide array of sources, including academic papers from arXiv and bioRxiv, social media posts from platforms like Twitter and Reddit, and various forums. This diverse collection allows for in-depth analysis across different communities and topics. Users can explore cross-corpus idea diffusion, blind spot mapping, and engagement anomaly detection. For example, one can track how quickly different communities react to major AI developments or identify underrated academic work based on forum engagement.
Scry also provides tools for ongoing monitoring of queries, allowing users to set alerts for new information that fits specific criteria. Its primitive operations enable users to perform advanced searches and analyses, such as debiasing topics or tracking changes in intellectual trajectories over time. Public access is free, while paid options start at $5 for 24 hours of private use. Overall, ExoPriors Scry aims to enhance research capability by making extensive data easily accessible and actionable.
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