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Documentation Index

Fetch the complete documentation index at: https://parabola.io/docs/llms.txt

Use this file to discover all available pages before exploring further.

In this lesson, you’ll learn the four categories of data exports in Parabola and see how to add send steps to your flow by prompting or searching the canvas.

Building challenge

Your reconciled inventory data is ready — now export it as a CSV and build a visualization to see how many SKUs have discrepancies at a glance.
1

Copy and paste this prompt into Parabola to export your report as a CSV

Export a CSV file at the end of the flow. Title the CSV file "Inventory Reconciliation Report".
2

Add a Visualization step and configure it as a column chart

  • Search for the Visualize step and drag it onto the canvas below your Generate CSV file step
  • Grab an arrow from your previous data transformation step and connect it to your Visualize step so data is flowing in
  • Open the step and change the chart type to Column chart. Title the chart “SKUs by Discrepancy Status” and set the X-axis to Discrepancy Status
  • To configure the Y-axis, click Add Series and set SKU as the Y-axis
  • Keep the aggregation method as Count, and give both your X and Y axes a title
3

Click "Run flow" in the top right to officially run your flow

The steps added to your canvas and their exact documentation may differ from what you see below — every AI response is unique. The important thing is that your resulting data set matches what you see here.
Send data canvas viewCSV export stepVisualization X-axis configVisualization Y-axis config
Last modified on May 4, 2026