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Documentation Index

Fetch the complete documentation index at: https://sourcetable.com/docs/llms.txt

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

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

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.

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

Example datasets

CategoryExamples
DemographicsCensus data, population by region, age distribution
EconomicsGDP, inflation, unemployment, trade data
FinanceStock prices, exchange rates, commodity prices
HealthDisease statistics, hospital data, vaccination rates
ClimateTemperature records, emissions data, weather patterns
EducationSchool performance, enrollment data, literacy rates
SportsPlayer statistics, team records, game results
TechnologyGitHub stats, programming language trends, internet usage

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.

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)