Use Cases

Each use case walks through a realistic scenario end to end, including why each step matters.

They share one idea. A bundle carries its data together with what the data means and how it got that way: column meanings, metric definitions, the source of every file, and every change since. An agent needs that context because it cannot ask you. A person needs it for the same reason six months later.

Use case	For you if...
Agents That Answer Correctly	You want an AI assistant to query your data and get numbers you can trace back to the source
Agent Workspaces	You are building an agent that collects data over many sessions and needs to remember what it has
Sharing a Dataset	You prepare data for other people, or you analyze data someone else prepared
Scheduled Collection	You pull from SFTP, S3, APIs, or databases on a schedule and want every run on record