Digital Wallet Activity Sequences

This dataset provides detailed, synthetic records of peer-to-peer payment transactions, including sender and receiver information, transaction amounts, statuses, device types, and fraud indicators. It is ideal for analyzing user payment behaviors, developing risk models, and designing fintech products, offering a robust foundation for segmentation and predictive analytics.

This dataset contains detailed synthetic payment transaction records, each labeled with ground-truth indicators of fraud. It includes transaction metadata, customer and merchant identifiers, payment methods, device and location context, and fraud reasons, making it ideal for developing and benchmarking machine learning models for payment fraud detection and risk mitigation.

This dataset provides detailed synthetic microtransaction logs, capturing both legitimate and fraudulent activities with realistic attack scenarios. It includes user, transaction, device, location, and fraud scenario fields, making it ideal for developing, benchmarking, and validating fraud detection models in financial microtransaction environments.