Agents help Data Analytics teams prepare reliable data for shared decisions.
Add 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.
Calculate deal counts and amounts for sales questions in chat.
Get answers from your data analysis chatbot when teammates ask about the sales pipeline, with the deal filters behind each figure.
Map 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.
Translate team ranking questions into schema-grounded SQL.
Get a ranking SQL query in your chat thread, ready for review. See how the measure and ties determine each position.
Turn 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.
Draft SQL using the report's time field and period.
Get a SQL query for a date or date range in your report chat, with the time field and boundaries explained in the same thread.
Draft SQL for data questions asked across teams.
Get a SQL query and a clear explanation in the same chat thread as your question, with results when you allow them.
Translate shared metric rules into reviewable SQL queries.
You get a SQL CASE query that groups your metric by the rules you provide, plus clear explanations in the same request thread.
Draft join paths for analysts' questions using the supplied schema.
Get a SQL query with the joins and filters your question needs, plus a short explanation in the same help thread.
Get usable source rows into CSV for analysis and identify skipped lines.
Your analysts get CSVs from new text exports in a shared folder. A companion report points to source lines that need fixing.
Preserve analysis tables and links in Word review drafts.
Your Markdown report becomes a Word document in your team's layout, with tables and links checked and the draft linked on your task.
Align weekly CSV columns and combine rows for analysis.
Get a downloadable CSV from your teams' weekly extracts when the files are usable. See what needs attention in a summary beside it.