Question 1

Who is eligible?

Accepted Answer

Current students, verified by signing in with your university email. Find your school in the list above to get started.

Question 2

How many credits do I get, and do they expire?

Accepted Answer

5,000 Crustdata credits every year, added once your school email is verified. They don't expire, so you can use them across your degree.

Question 3

How do I claim them?

Accepted Answer

Open your university's page from the list above and sign in at app.crustdata.com with your student email. The credits apply automatically — no document uploads.

Question 4

What can I build with them?

Accepted Answer

Anything on Crustdata — sales, recruiting, and investment agents, market research, coursework, or your own startup. You get the API, the MCP server inside Claude, the CLI, and the skills.

Question 5

My university isn't listed, can I still join?

Accepted Answer

Yes. We're adding schools every week. Ask your entrepreneurship centre or careers team to request a program and we'll set one up.

Question 6

What actually happens when I move my sales team from traditional data providers to real-time signal monitoring?

Accepted Answer

When you move your sales team to real-time signal monitoring:

1. Webhooks are set up, notifying reps whenever a target fundraises, hires, or appears in the news

2. Reps shorten research time and personalize outreach

3. Reply rates increase due to personalized and relevant outreach

This shift from manual research to automated signal alerts helps reps focus on prospects showing current intent.

Question 7

What's better for powering AI agents - People Data Labs' monthly enrichment or Crustdata's live signal monitoring?

Accepted Answer

If your agents only need an occasional refresh of core firmographics, monthly enrichment works. But for AI SDRs, AI recruiters, and investment agents that automate workflows and trigger campaigns based on signals our live signal monitoring that offers real-time webhooks, 250+ company datapoints and 16+ verified global sources, provide the fresh, multi-signal context AI agents require to make decisions, without manual re-enrichment cycles.

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WashU students build on the real thing

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WashU students build on the real thing

WashU students build on the real thing

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