Browse datasets for ML models that predict real-world events, or create your own. Let agents find the sources, configure the pipeline, and keep it updated.
Will Chicago break its July heat record?
The dataset you need may already exist. Each one comes with a clean API, a documented schema, and updates itself so you do not have to maintain it.
Popular community datasets will appear here automatically as soon as they go live.
If you cannot find it, start with public data. Public data is free. Using it means turning the right sources into one clean dataset for models that predict real-world events. Agents set it up once, and Mostly Right keeps it updated as new data arrives.
Explore the platform →Agents search existing datasets and public sources, then compare their coverage, history, fields, and update cycle.
Agents fix names, types, units, and dates before joining the tables. They check the finished rows before the dataset goes live.
Use the full archive to train your model, then query fresh rows when it makes predictions.
Browse datasets built by the community and use them through one API. If the data is not there, create it with agents.