Disclosed are systems, methods, apparatuses, and computer readable media for quickly and efficiently providing individual-level scores that are serve as more-accurate predictions of a target event. These predictions are made using a model that factors specific variables based on transaction attributes gathered from transaction data for the individual, which may be exclusive to certain entities. These individual-level scores can be updated and periodically uploaded to an entity (e.g., a reporting agency) that can utilize existing infrastructure to quickly provide these scores to any requesters.