How do you test data accuracy in dbt beyond basic eng tests?

I’ve been getting deeper into dbt for building data models, and one thing keeps bugging me: the eng tests available are great, but there doesn’t seem to be much support for validating data accuracy itself.

For example, after a model change, how do you easily check how many rows were added or removed? Say, I’m building a table for a sales report, is there a straightforward way to assert that the number of July transactions or total July sales hasn’t unexpectedly changed?

It feels like a missing layer of testing, and I’m wondering what others do to catch these kinds of issues.