Payment Fraud Scoring APIs are designed to analyze digital transactions in real time and assign a fraud risk score based on signals such as device behavior, IP reputation, identity verification, transaction history, and machine learning models. Leading platforms such as Stripe Radar, Sift, Riskified, Forter, SEON, Feedzai, and Kount differ in areas like detection accuracy, latency, explainable AI, chargeback protection, and ease of integration with payment systems. This discussion focuses on comparing these APIs based on their effectiveness in reducing fraudulent transactions, minimizing false positives, improving checkout experiences, and helping businesses balance security, compliance, and customer trust in high-volume digital payment environments.