It’s difficult to find the depth of detail needed for event data to be useful
Event data is notoriously dynamic and messy, meaning there are several hurdles to overcome in order to capture them at scale. Events frequently change in size, status, and impact–meaning once collected, it’s likely to become outdated. Inaccuracies, duplicates, and missing details are common, even from the most well-known event ticketing APIs.