Documentation

The AI Agent can now fully automate extract and load workflows. It identifies data sources and templates, estimates volumes, and schedules extractions and loading automatically. Complex data workflows are now faster, easier, and fully managed within the platform.

Now, instead of pulling entire tables, you can write your custom SQL query directly in the flat data extraction flow. This gives you more control to pre-filter or group your data before extraction, speeding up the process and reducing unnecessary load. Simply select Enter SQL query option, write your custom SQL query, validate it, and you’re ready to go.

Note: This feature is currently available only for Snowflake and Google BigQuery flat data ingestions.

Send emails directly from the AI Agent to quickly share discovered insights, reports, or updates — all without switching tools.

The Usage page now provides a clearer view of how credits are used. Each tool call and action is detailed, with examples showing typical usage patterns.

The Agent will re-run the query on live data and email you the results at the frequency you define. This transforms one-off analyses into automated reporting flows — no need to repeat requests manually.