---
title: "What to upload for Data Interpreter Tasks"
last_updated: "2026-03-16T11:55:29.441Z"
category: "Getting Started"
canonical_url: "https://maybeclients.com/h/maybe-help-centre/what-to-upload-for-data-interpreter-tasks"
help_centre: "Maybe* Help Centre"
---

# What to upload for Data Interpreter Tasks

## What this article covers

This article guides you through how to use the data interpreter.

## When should I use this?

The Data Interpreter (also called Python Agent or Data Agent) is designed for data analysis, automation, and visual reporting. It can parse and manipulate structured data from files such as CSVs, Excel sheets, or JSON exports.


## Step-by-step instructions

Recommended File Types:

- .CSV or .XLSX reports (e.g., sales data, campaign performance, audit logs)
- Exported system data (from CRMs, finance tools, marketing dashboards)
- Tracking spreadsheets, cohort analyses, forecasts
- Inventory or pricing databases
- Structured JSON or XML, if applicable
Best Uses:

- Creating summaries and insights from spreadsheets
- Automating repetitive calculations or reports
- Generating charts and analysing trends
- Auditing and error checking in structured data
Tips:

- Use descriptive headers in your files to help the AI Agent interpret fields accurately.
- Include example data if you’re configuring a template for others to reuse.
- Avoid uploading PDFs or unstructured formats—use the Knowledge Base for those.


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