Managing large datasets in our fraud-detection-api requires efficient data retrieval. Recently, we faced the challenge of querying specific order histories without overloading the system with massive, unfiltered requests. By implementing query parameter handling, we have streamlined how our services request date-scoped order information.

The Challenge

When fetching fraud-related order data,

The Goal

Building a robust fraud detection system requires a clean foundation from the start. We recently initiated the fraud-detection-api project, focused on creating a secure, modular backend service capable of evaluating transactional data in real-time.

The Architecture

To ensure our API remains maintainable as we add complex detection logic, we have adopted a modular architecture