AI-Agents for Data Analytics in Market Research working with PostgreSQL
PostgreSQL is a powerful, open-source database engine with a uniquely advanced query optimizer and dozens of built in features, making it an easy choice for production databases.
Keep analysis tables current with valid rows from team sheets.
Your reporting table gets valid new spreadsheet rows every 15 minutes, with import counts and row-specific fixes waiting in the sheet.
13 toolsAdd usable spreadsheet rows to the database and flag gaps.
Get valid Excel rows into PostgreSQL and a chat report showing how many went in and what needs fixing.
25 toolsMap requested report categories to schema fields and draft SQL.
Get a pivot SQL query back in the chat thread, with totals explained and columns matched to your database schema.
15 toolsTurn team count questions into SQL grounded in the database schema.
Get a SQL count query in the chat thread, with a clear note on what it counts and which conditions it uses.
15 toolsShare verified database rows for monthly analysis.
Get a dated CSV and row count in your shared folder every month, or an error note explaining why the export stopped.
11 toolsKeep data tables current from CSV files and flag failed loads.
Keep your PostgreSQL table current as CSV files arrive, with a row count or a clear reason when an import needs attention.
13 toolsTurn the latest reporting query results into a labeled workbook.
Your report preparer gets a fresh Excel workbook when the SQL reporting table changes. The rows follow your chosen query and headings.
6 tools
