
I’m building an open-source fraud detection engine for payment systems — looking for feedback
Hey everyone,
I’ve been working on a new open-source project called Verdict Engine, and I’ve just released an early beta.
The idea is to build a fraud/risk assessment engine for payment systems that combines rules with basic machine-learning-based risk scoring. The goal is to eventually make it easier for payment providers, fintechs, banks, and developers to integrate fraud detection into their systems without having to build everything from scratch.
The project is still very much in the beta/early development stage, so I’m mainly looking for feedback rather than users or customers right now.
🔗 GitHub: https://github.com/verdict-engine/verdict-engine
🌐 Documentation: https://verdict-engine.github.io/verdict-ui/
I’d particularly appreciate feedback on:
Architecture and API design
Fraud/risk scoring approach
Developer experience
Features that would actually be useful in a payment environment
Potential problems or limitations you see with the current approach
If you have experience with fraud detection, payment systems, fintech, ML, or backend engineering, I’d especially love to hear your thoughts.
Feel free to be critical — it’s an early beta and that’s exactly what I'm looking for.