What AI Agents Can Do

Once connected over MCP, an AI assistant gets a focused set of capabilities over your cloud workspace, grouped into five areas.

Understand your workspace

The agent can read your plan, credit balance, and its own access level — so it can answer "how many credits do I have left?" and warn you before starting anything expensive.

Work with your data

• Browse tables — list all result tables, grouped by the automation that produced them.
• Inspect — read a table's schema, row count, and a small sample.
• Query without limits — filter, aggregate, group, and sort tables server-side. The full table is never loaded into the AI's context, so a 100,000-row table is as easy to analyze as a 100-row one.
• Export — generate CSV, JSON, or Excel downloads, or send a table straight to Google Sheets.

Clean your data

With a full-access token, agents can tidy tables the way you would by hand:

• Rename columns or change their type
• Delete irrelevant columns
• Merge 2–5 columns into one (street + city + zip → Address)

Operate your automations

• List automations and their run history (available to every token, including read-only)
• Check a run's live progress
• Start or stop a run (full access)

This is what makes "re-run my competitor price scrape and put results in Sheets" a one-sentence job.

Start new extractions

Agents can create zero-configuration extractions — product data, emails, social links, phone numbers, and Google Maps places — from a list of URLs or from a column of an existing table. This is powerful enough to get its own page.

Access levels

Choose read-only when you want an analyst; choose full access when you want an operator. Details in Security.