Excel/CSV Deep Analysis

Upload a spreadsheet via WhatsApp and the agent analyzes it — finds patterns, anomalies, and generates insights.

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Conversation Example

[Sends sales_data_q1.xlsx] Analyze this sales data. Find the best performing products, seasonal trends, and any anomalies.

xlsx_read

Reading the spreadsheet... 2,847 rows, 12 columns.

shell → Python (pandas + matplotlib) + publish_file

Sales Analysis — Q1 2026 Top Products: 1. Widget Pro — $142K (32% of revenue) 2. SaaS License — $98K (22%) 3. Support Plans — $67K (15%) Trends: - January dip (-12%) — typical post-holiday - February surge (+34%) — driven by Widget Pro launch - March steady (+8%) Anomalies Found: - Row 1,247: $0 sale with 50 units — likely data entry error - Row 2,103: 10x average order value — verify if bulk order or typo - Region "APAC-2" has 0 sales in March — possible reporting gap Chart: https://agent.example.com/files/q1-sales-chart.png Full report: https://agent.example.com/files/q1-analysis.pdf

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