If there were canonical sports stats data sources to include, it wouldn't be difficult. Email us at [email protected] if there's something specific you have in mind.
Currently, it's great for socioeconomic data on countries, as well as for high-res socioeconomic data for the US (county resolution). There's data from the World Bank, Dept of Health, Dept of Labor, Dept of Justice, and several other public sources, with all entities reconciled.
We're building a pipeline to make it so that ETL involves as little human time as possible, but it's in its early stages now.
The idea is that you'd use this via the python shell (and soon, from your R code or Javascript code), and not through the website. Looks like we need to make that clearer. The website stack is Postgres+Django+Python.
I had heard of these guys, but hadn't seen their site in months. Sounds like they're doing something pretty similar, which is exciting, because it means they've tested the business model.
Great, thanks! I knew of timetric, mentioned below, but not about these. I suppose there's a strong selection bias.
The business model probably should be B2B: I imagine the users would be companies that need to do business intelligence, journalists, universities, and research organizations.