I do like all the data that Stessa provides for investors.

If you want to look at a cash flowing market like the midwest here in KC, I can show you some data points around this part of the country. 

With an in-house management team and data-driven decisions, a company like this provides peace of mind for truly passive investors.While finding properties on the open market can work, it often comes with uncertainties regarding condition, tenant quality, and maintenance history.

I generally rule out most single family homes as viable rentals, as prices are pretty high relative to rents, so aside from some downtown neighborhoods, typically you do not find large areas of single family rental neighborhoods (a median sale price on a 3 bed, 2 bath home so far this year in Dane County on MLS sales data is at $430k). 

If it sits vacant for months at a time, the data model gets recalibrated and they'll tell you to lower your rent calibrations, but maybe what it needs is someone to tell you "you know what?

If so, just look up their data or ask for it.

file=/secure/pabulletin/data/vol54/54-46/1644.html

Both programs can aggregate data based on filters like zip codes, sell scores, etc. 

If I was approaching this I'd want chatbot that used the ChatGPT language model but was closed off from the internet and only trained on my data.

They have to collect the data, confirm the data, then publish the data for the public.