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Python Agent

The engine that plans, computes, and verifies custom analysis.

What it does

Preview coming soon

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

You ask

Reconcile these two payment schedules and flag any discrepancies.

Scalata

It computes the reconciliation, double-checks its own logic, and returns the flagged differences as a table.