Data source

Data from Data.gov, delivered clean.

2 datasets pulled from Data.gov's releases, checked field by field and shipped the way you want them — daily, weekly, or hourly, your call.

  • 2 datasets
  • 2 industrys
  • Real rows on request

Agricultural Farm Machinery

1
Agricultural Farm Machinery United States - federal agencies plus state · Continuously harvested catalog spanning decad…

Data.gov - Agriculture-Tagged Datasets Collection

Drug Retail

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Drug Retail United States and beyond - federal · Catalogue aggregating agency publication hist…

Data.gov Catalog — Education-Tagged Federal Datasets

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Name any Data.gov dataset and we send real rows from it — not a screenshot of rows. 1,744 datasets. Pick your catch.

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Straight answers about Data.gov data

How many datasets does the Data.gov catalog index?

552,271 datasets sat in the full catalog at the August 2026 cataloging pass, drawn from federal agencies plus state, county, city, tribal, university and non-profit publishers. The education-tagged query alone reports over 10,000 matching records spread across 120 indexed organizations, and the agriculture-tagged slice cuts the same catalog by keyword.

Does Data.gov store the underlying data itself?

No. Every entry is standardized descriptive metadata - title, publisher, keywords, coverage and a distribution list - pointing at files the publishing agency hosts on its own systems. Datadory delivers both layers together: the directory entries you screen against and the referenced tables resolved beneath them, so the pointer layer never becomes your problem.

Why is an education collection filed under Drug Retail?

Cataloging artifact, stated plainly: industry placement followed the keyword query, not the content. The education-tagged record's actual contributors are the Department of Education, NCES, Census, NOAA and state publishers. Its sibling, the agriculture-tagged collection, sits in Agricultural & Farm Machinery for the same reason. The catalog beneath both spans every major agency.

What can you build with these two collections?

Discovery products, mostly: agency-source directories for researchers, dataset-search features inside analytics tools, monitoring of newly surfaced program and subsidy datasets, and candidate-feed shortlists before pipeline work begins. Paired with the referenced publisher tables, the same records support citation tracing and market-sizing denominators across every major US federal agency.