Python Agent
The engine that plans, computes, and verifies custom analysis.
What it does
The calculation engine behind the scenes: it turns a described analysis into a real, computed result — planning the work against your actual data, running the numbers, checking its own work, and returning the answer, often as a spreadsheet. Other agents lean on it whenever a request needs bespoke number-crunching, so every result rests on a reviewed, reliable foundation.
Whenever a request needs real number-crunching rather than a canned report, the Python Agent is what runs underneath. It plans the analysis against your actual columns, computes the result, and reviews its own work before returning it — which is why the other agents lean on it for anything bespoke.
What it can do
- Plan a custom analysis against your real data
- Compute bespoke results beyond standard reports
- Check its own work for correctness
- Return answers as clean, downloadable output
Example
“Reconcile these two payment schedules and flag any discrepancies.”
It computes the reconciliation, double-checks its own logic, and returns the flagged differences as a table.