​
What You’ll Get

  • Chat with your data: Ask questions like “What were our top sales this quarter?” in natural language
  • Automatic insights: The agent writes SQL, runs it, analyzes results, and creates charts
  • Smart learning: Save good examples as “Golden Assets” so the agent gets more consistent over time
  • Quality control: Test the agent with known answers before rolling it out
Chat interface showing a natural language question and resulting chartChat interface showing a natural language question and resulting chart

​
Who This Is For

  • Business users who want to explore data without writing SQL
  • Product teams building data features into their apps
  • Developers creating AI agents that need to work with databases

​
Supported Data Sources

Connect to any SQL database: Postgres, BigQuery, Snowflake, Redshift, MySQL, and more. We also support business APIs like Stripe, HubSpot, and PostHog on request.

​
Quick Setup (5 minutes)

​
Step 1: Connect Your Data

Choose which tables the agent can access from your database.
Data catalog interface showing table selectionData catalog interface showing table selection

​
Step 2: Mark Key Columns

Select columns with human-friendly values (like “product_name” or “region”) that users might want to filter by. Skip technical IDs and timestamps.
Column selection interface with checkboxesColumn selection interface with checkboxes

​
Step 3: Start Asking Questions

Use the chat interface to ask about your data. The agent will show you each step: generating SQL, running it, and analyzing results.
Full conversation showing question, SQL, results, and analysisFull conversation showing question, SQL, results, and analysis

​
Step 4: Save What Works

When the agent gets something right (or when you fix it), save it as a Golden Asset so it performs consistently on similar questions.
Save to Golden Assets dialogSave to Golden Assets dialog

​
Step 5: Test Before Launch

Create evaluation test sets with known correct answers, then run tests to make sure the agent performs well at scale.
Evaluations dashboardEvaluations dashboard

​
Next Steps

  • Try the admin chat to see the full reasoning behind each answer
  • Create your first Golden Assets from successful conversations
  • Set up evaluations with a few ground-truth examples
  • For developers: See the Technical Guide for embedding options and API details