In February 2025, Collins developed the Data Collections Granules Presence Search feature for the nsidc/earthaccess repository. This work introduced a has_granules parameter to both the search_datasets function and the DataCollections class, enabling users to efficiently identify data collections without associated granules. Collins updated backend APIs and underlying data models using Python to support this new search capability, focusing on API development and backend engineering best practices. The feature addressed a specific need for improved data discovery and quality assurance workflows, demonstrating a focused and well-scoped engineering effort that enhanced downstream analytics without introducing unnecessary complexity or broad architectural changes.