Ask your data
Managers ask in plain language; the agent explores the database, writes and fixes SQL, charts the result, and answers with findings and a recommendation.

The problem
Every leadership question ("which region grew least this year?") becomes a request to the analyst and a days-long wait. The data exists, but getting to it requires SQL.
What it delivers
- Answer with verified figures
- Presentation-ready chart
- Actionable recommendation
Agent tools
ver_esquemaconsultar_sqlgraficarEach tool is a real Python function the agent chooses to call. Every call is shown on screen, so the process can be audited.
How it works
Not a chat that only replies: it works in a loop, picks the right tool, checks what it gets, and delivers.
- 1Receives the question in plain language.
- 2Explores the database schema to understand tables and fields.
- 3Writes the SQL query (read-only) and fixes it if it fails.
- 4Checks that the figures make sense before answering.
- 5Builds the right chart for the question.
- 6Answers with findings, figures, and a recommendation.
The agent in action
Real screenshots of the app. Click to enlarge.
Built with Anthropic Claude. Runs on your infrastructure, with a demo mode and a live reasoning mode.
More prototypes from this service
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