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Dataful

Converts scattered Indian government portal, bulletin and regulator data into cleaned, downloadable tables for preview and export.

Actively maintained

At a glanceswept Oct 24, 2026

≈ 1.6kvisits/mo

Little sign of use · estimate, read Oct 14, 2026

For
Researchers, students and analysts who need cleaned Indian public data from government sources
Activity
Actively maintainedrelease 6 days ago · site updated 4 days ago
Company
since 2016per their About page
Used for
  • Download standardised Indian government datasets for analysis
  • Preview district-level crime records across about 700 districts
  • Compare CSR project spending by state and company
Worth knowingcomputed from what we read · each with its source
  • Has an MCP server (1 in the registry)public registry →
The companyeach fact with its source · read Oct 16, 2026
How a program reaches itfound, not claimed · read Oct 16, 2026
  • MCP serverin.dataful/datafulverified in the MCP registry
  • Stateanswers, requires sign-inchecked 2026-10-16
  • Address to connectmcp.dataful.in/mcp

MCP server details →

This card as JSON, for your agent →

Each line is something a program found when it went looking: the registry entry, the server's own answer, a spec that parses. A missing line means we did not find it, not that it does not exist.

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beta

Three tools from the Atlas for the job you describe, each with what fits and what does not.

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Questions this page answers
  • What is Dataful?

    Converts scattered Indian government portal, bulletin and regulator data into cleaned, downloadable tables for preview and export.

  • Who is Dataful for?

    Researchers, students and analysts who need cleaned Indian public data from government sources

  • Do people use Dataful?

    Little sign of use: ≈ 1.6k visits/mo · estimate, 2026-10.

  • Is Dataful still maintained?

    Actively maintained: release 6 days ago · site updated 4 days ago.

How we read a tool

No votes, no reviews, no vendor claims. Every week a crawler reads each tool's own site and a few public registries, and the words on the card are bands over what it read.

  • Use: visits to the site (estimated), installs from npm and PyPI, presence in Chrome's usage report.
  • Activity: the newest release on GitHub, npm or PyPI; the newest dated page on the site; open roles on a public jobs board.
  • Price: the vendor's own pricing page, read with the date. A figure is printed only when it is on that page.
  • The line and the use cases are written by us from the homepage, one tool at a time, and refused when they repeat the vendor's marketing.

How AI assistants read each site — the reading vendors ask us about — is on each tool's own visibility page.

How we read every tool → · By INITE Atlas Desk