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The data finder tool searches the web for publicly available datasets matching your description and imports them directly into your spreadsheet.

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How it works

Select Public Dataset mode from the AI chat, or just ask:
  • “Find a dataset of US census data by zip code”
  • “Get historical S&P 500 data for the last 20 years”
  • “Find a public dataset of global CO2 emissions by country”
  • “Import World Bank GDP data for all countries”
The AI uses the data_finder tool to locate relevant public datasets, download them, and structure them into your spreadsheet.

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Data sources

The data finder searches across public data repositories including:
  • Government open data portals (data.gov, EU Open Data, etc.)
  • Academic and research datasets
  • Financial data APIs
  • International organizations (World Bank, UN, WHO, IMF)
  • Open source dataset collections
  • Public APIs with freely available data

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Example datasets

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Workflow

1

Describe the data you need

Be specific about the topic, geographic scope, time period, and granularity.
2

AI finds and imports

The data finder locates a matching dataset and imports it into your spreadsheet.
3

Analyze

Use AI analysis, charts, pivot tables, or formulas to explore the data.

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Tips

  • Be specific — “US median household income by state for 2020-2024” gets better results than “income data”
  • Specify format — “as a table with columns for country, year, and GDP” helps the AI structure the output
  • Combine datasets — import multiple datasets and ask the AI to merge them (e.g., GDP + population to calculate per-capita GDP)