An example you may find interesting Rick, https://andrewpwheeler.com/2020/11/27/outliers-in-distributions/. Using data to define the bands in insurance payment data, where each hospital got its own ECDF. In that dataset, I initially tried the KS test (comparing one hospital to the rest of the hospitals), but too many were outliers. So using the data of multiple hospitals to define the pointwise band at X (e.g. at $1000 I see that around 90% of the ECDFs are between 0% and 90%).