Abstract: Methods for data de-duplication and data augmentation are performed by systems and devices. A request for information is received over a network from a requestor by a host, and is provided to an information source for a response. The host retrieves first data from a data source associated with the request, and receives the response that includes second data associated with the request. The first and second data are aggregated by the host. The aggregated data is processed by the host to remove duplicate information/records. The aggregated data is processed by the host to augment eligible data fields to correct, supplement, and calculate the aggregated data through data augmentation. An updated response is then provided back to the requestor with augmented data tracking. Neural network models are also utilized by the host for data augmentation.