Abstract: In some aspects, methods and systems may use consumption timestamps to ensure consistency between data used during inference and data used to train a machine learning model. Specifically, methods and systems may generate a consumption timestamp corresponding to the time at which the streaming data is received or inserted into a database. The consumption timestamp may be used as a synchronization point for any related data that may be requested (e.g., via an API). After streaming data is received, the consumption timestamp may be generated and assigned to any data that is requested in connection with the streaming data. The streaming data, related data, and consumption timestamp may be included in a data snapshot that is provided to a machine learning model for inference (e.g., real-time inference) or training.