What Data Does Crustdata Cover and How Is It Sourced?

Updated

Crustdata is a real-time B2B data provider that covers people and companies, sourced by indexing web pages and resolving them into a single live graph. According to its site, the graph contains 1B+ people and 60M+ companies (one page section also cites "200M+ companies," so treat the company count as an approximate, potentially broader figure). The data is exposed through a REST API or MCP, and is intended for sales, recruiting, and investment workflows run by AI agents.

What Crustdata covers

Dimension Coverage stated on the site
People 1B+ people
Companies 60M+ companies (a separate section states 200M+ companies)
Data model One live graph of people and companies
Access methods REST API, MCP
Core operations Search, Enrich, Watch

The company count discrepancy is worth noting if you're sizing the dataset against a specific target market: the homepage headline says 60M+, while a graphic on the same page says 200M+. The site does not explain the difference, so verify the current figure with Crustdata before relying on either number for planning.

How the data is sourced

Crustdata states that it "indexes every web page on the internet and parses it into one live graph of people and companies." In practice, that means the source is public web content, not a purchased static database. The value comes from two steps:

  1. Indexing — collecting web pages at scale.
  2. Resolution — parsing those pages and merging the results into a unified graph, so a person or company appears as one entity rather than scattered fragments.

Because the graph is described as live, records reflect recent changes rather than a periodic snapshot. The site illustrates this with an example: a person who "left 6 days ago after 3 years" and is "now weighing offers," alongside recent activity such as open-source commits. That level of recency is the main differentiator Crustdata claims over static data vendors.

What you can do with it

The site names three operations:

  • Search — find people or companies matching criteria.
  • Enrich — add graph data to records you already have.
  • Watch — monitor entities for changes over time.

These are available via API or MCP, which is what makes the data usable inside AI agents rather than only in a dashboard.

How to evaluate fit

  • If you need recent job changes or activity signals, the live-graph approach is the relevant feature to test — ask for a sample on your target segment and check how fresh the timestamps are.
  • If you need a fixed, auditable snapshot for compliance or historical analysis, a live graph may not match that requirement; confirm whether historical states are retained.
  • If company count matters for coverage, resolve the 60M vs. 200M question directly with the vendor.
  • If you're building on agents, confirm API and MCP access terms, rate limits, and pricing at crustdata.com/pricing, since the site does not publish those details on the pages reviewed here.

The site includes customer comments from Transpose Platform, The Firm, and CoffeeSpace praising data depth and match quality, but these are vendor-published testimonials rather than independent evaluations — treat them as directional, and validate with your own sample data.