You've done it. Opened a browser tab, highlighted a table, pasted it into a spreadsheet. Then another tab, another table, another paste. By the time the data's clean, you've lost the question.

Most data lives online.

Product reviews on a competitor's page. A public dataset buried on a government portal. A leaderboard, a pricing table, a stats page your team keeps screenshotting. It's all sitting there behind a URL. You've been hand-carrying it into your sheets.

What changed

Give Anna the link. She reads the page, finds the data, pulls it down, saves it as a dataset tab. That's the step.

Step	Before	With Anna
Find the page	Open it in a browser	Open it in a browser
Get the data out	Copy, paste, format, repeat	Paste the URL into chat
Get it into Anna	Export to CSV, upload, wait	Already there
Ask your question	15 minutes later	Now

The copy-paste round trip is gone.

What she can pull

Anything structured on a public page.

Reviews on a product page — then run sentiment on them in the next breath.
Open datasets from government or research portals.
Pricing tables, leaderboards, Wikipedia tables, benchmark results.
Public APIs that return JSON or CSV.

Whatever Anna pulls lands as a dataset tab. You can see what she got, query it, chart it, combine it with your other sources. Nothing hidden.

What she won't pull

Anything behind a login. If it needs a password, OAuth, or a subscription, Anna stays out. That work belongs with connected sources — Shopify, HubSpot, Google Sheets, the rest of the list in the data picker. The URL fetch is for the open web.

The point

The data was already online. You just had to go get it.

Now you don't.