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The Catalogue is the inventory of governed datasets in your workspace — the same datasets your AI tools can query over MCP. It’s a read-only browse: each dataset is a card showing its friendly title, the exact technical name (e.g. silver_sales or silver_availability), a one-line description of what it holds, its layer, how many columns it documents, and how many rows it currently holds for your workspace. The Catalogue keeps itself up to date. As data lands from your connected sources, new datasets register here automatically — there’s no setup step, and what you see is always what your AI tools can reach. The plain-language descriptions do double duty: they help your team browse, and your AI tools read the same descriptions when deciding which dataset answers a question.

Layers

Every dataset sits in one of four layers, describing how far it’s been refined from raw source data toward analysis-ready. The catalogue orders the most query-ready first:

Find a dataset

Search the Catalogue by title, technical name, or description, and filter the results by layer to focus on a single layer, such as the query-ready silver and gold tables. Clearing the filters brings back the full list.

Open a dataset

Click a dataset card (or press Space with one focused) to open its detail view. The Columns tab lists every column in the dataset with its type and a plain-language meaning, the same descriptions your AI tools read when deciding which dataset answers a question. Press Escape to close it.

Who can see a dataset

By default every dataset is Open: everyone in your workspace can find and query it. An admin can open a dataset’s Access tab and switch it to Restricted, then grant it to specific roles, so only those members (and admins, who always have access) can see it. This controls visibility inside the Console and what each person’s AI tools can reach.
The Catalogue is where you confirm what’s available to ask about. To see which systems feed these datasets and how fresh they are, head to Sources.