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AI Data Analysis Assistant for Chrome

Extract a table, read a chart and pull trends off a dashboard without exporting to a spreadsheet. Analysis on whatever page you are on.

Why data analysis slows you down today

Data presented in web dashboards, reports, and tables requires manual export and reformatting before you can analyze it.

Identifying trends and patterns across multiple data visualizations on a page requires domain expertise and careful observation.

Comparing metrics from different web-based reporting tools means copying numbers into a spreadsheet for side-by-side analysis.

Understanding what the data means and what actions to take from it requires interpretation skills that go beyond just reading numbers.

How Prophet changes data analysis

Extracts and interprets data from tables, charts, and dashboards visible on any webpage without requiring data export.

Identifies trends, outliers, and patterns in data presented on web pages and explains their significance in plain language.

Compares data points across different sections of a page or across multiple tabs to surface meaningful differences.

Generates summaries and actionable insights from analytics dashboards, financial reports, and data-heavy web pages.

What Prophet actually does for data analysis

Prophet is not a chat box that reads pasted text. It works against the live page through Chrome, using the same browser tools every time. Here is the sequence for data analysis, and the tools it calls at each stage.

1. Reads tables as tables

Because Prophet uses the accessibility tree, an HTML table arrives with its row and column structure intact instead of as a flattened image.

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2. Walks paginated results

It can click through pagination and collect every page of a report into one dataset before analysing it.

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3. Compares across dashboards

Open two analytics tabs and Prophet will reconcile the figures and tell you where the definitions differ.

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Prompts to try for data analysis

Open the Prophet side panel on a page where you would normally do data analysis by hand, then paste one of these in.

Extract all the data from this table and calculate the average, median, and growth rate for each column.

What trends do you see in this analytics dashboard, and what might be causing the dip in Q3?

Compare the revenue figures on this page with the targets shown in the previous tab.

Summarize the key takeaways from this quarterly report and highlight any metrics that need attention.

Convert this data table into a format I can paste into a spreadsheet.

Choosing a tool for this

If you are still deciding which extension to use for data analysis, these compare the options rather than describing one of them.

Ready to Try Prophet for Data Analysis Assistant?

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