r/datasets • • 9h ago

resource How it works: selling your data to ai!

0 Upvotes

Hey all, welcome. Quick intro since this place is brand new.

I run Sanctus Data Labs. We help business owners sell their operating data to AI companies. I started this sub because the questions I get on calls are the same ones I see asked (badly answered) all over Reddit, and there's no good place to talk about this market honestly. So here's the primer.

What are AI companies actually buying? Who's buying? What's it worth? What do we say when we hear "I don't trust AI companies with my data."?

What's this sub for?

- Questions about selling or licensing business data, from owners, operators, finance people, whoever

- Sharing what you've been offered, ads you've seen, deals that went sideways (anonymize stuff obviously)

- Discussion of the buyers, the labs, the contracts, the privacy side

Ground rules

  1. Be useful. No low-effort spam or "DM me for a deal" posts.
  2. Disclose if you're a buyer, broker, or vendor. I'll go first: I'm a broker/buyer.
  3. Don't post anyone's actual data or identifying details.

If you want the long version, I wrote it up here: sanctusdatalabs.com/sell-business-data

Otherwise drop a question below. What's the one thing you'd want to know before selling your company's data?


r/datasets • • 23h ago

dataset Looking for European mortgage loan-level data for survival analysis (Master's thesis)

4 Upvotes

Hi everyone!

I'm a Master's student in Statistics at the University of Padua (Italy), currently developing my thesis on the application of Survival Analysis and Machine Learning to mortgage credit risk.

I'm looking for a European residential mortgage dataset with longitudinal loan-level observations, ideally containing:

- Loan characteristics (LTV, interest rate, loan amount, maturity, etc.).

- Repayment or performance histories.

- Default events and their timing.

- Early repayment/prepayment events, if available.

- Enough information to reconstruct loan durations and right-censoring.

My goal is to compare traditional survival models (such as Cox proportional hazards) with Survival Machine Learning methods, potentially including competing risks for default and prepayment.

I'm aware of the Freddie Mac Single-Family Loan-Level Dataset, but I would particularly like to explore European mortgage markets.

So far, I've investigated European DataWarehouse, De Nederlandsche Bank, and several academic studies using proprietary banking datasets. I've also contacted some institutions to enquire about academic access.

Does anyone know of other European mortgage datasets, research repositories, or academic collaborations that might be worth exploring?

I'm also interested in datasets that aren't publicly downloadable but might be accessible to university researchers under specific agreements.

Any suggestions, relevant papers, or contacts would be greatly appreciated.

Thanks in advance!


r/datasets • • 3h ago

question Source for streaming subscription prices per country (Netflix, Disney+, Max, Prime Video etc.)?

5 Upvotes

I'm building a streaming price comparison and need monthly subscription prices per plan, in local currency, for ~60-100 countries. Services: Netflix, Disney+, Max, Prime Video, Apple TV+, Hulu, Peacock, Paramount+, Crunchyroll, plus regional ones like Viaplay and SkyShowtime.

What I've found so far:
- tompec/netflix-prices on GitHub: great, but Netflix only
- Global App Store Price Index (OpenTheRank): 18 countries, one plan per service, App Store prices
- Subscription Land / geopriced: good coverage for a few services, but no API or reuse licence
- TMDB/JustWatch API: availability only, no subscription prices

Is there an open or licensable dataset/API that covers more services and countries? Or is scraping each service's own pricing pages the only realistic option?

Paid sources are fine too if the licence allows showing prices on a public site.