ilganeli

We model a timestamp which functionally is "when does this activity go on the books"? We compute clearing both based on this "effective_at" and a "system time" (there are some business functions with known periodicity and it makes for a useful debugging tool).

Long-clearing activity makes for some interesting business cases and long-standing float obviously can lead to some detection noise. For example, Brazil has uniquely long settlement times.

Hello! I am the author. Thank you for the comment.

While Stripe does love to write, I think our core premise here was that being able to reason mathematically about independent distributed systems was a unique application of a ledger. Likewise, we think the data quality offering is a unique extension since it gives us tools to make improvements to our systems over time.