Yes, you're correct. Based on the provided extracts, Airbyte allows you to adjust the "Data Request Interval (Days)" when setting up certain sources like Google Analytics. This interval can range from 1 to 364 days. However, this doesn't necessarily equate to syncing smaller date ranges, but rather affects the granularity of the data fetched in each request. For instance, if you set the "Data Request Interval (Days)" to 1, the system will fetch data for each day separately. This could potentially lead to more accurate results but might also increase the load on the system and the API, and could lead to duplicated data entries for each day. On the other hand, if you set the "Data Request Interval (Days)" to a larger number (like 364), the system will fetch data for that entire period in one go. This could potentially lead to faster syncs but might also result in data sampling, which could cause inaccuracies in the returned results. So, while you can't directly sync smaller date ranges, you can adjust the granularity of the data fetched in each request, which might help in managing API limits or reducing the load on the system. [Source](https://docs.airbyte.com/integrations/sources/google-analytics-data-api)