Risk Scoring with Python and the Clearbit API

Fraudulent signups and chargebacks can severely impact a growing digital business. Understanding how to programmatically evaluate the risk of incoming users is essential for safeguarding your platform. This text-based course teaches you how to design and build a lightweight risk-scoring system using Python and the Clearbit Risk API. You will learn to analyze email addresses and IP addresses to flag suspicious activity before it affects your bottom line. What you'll learn: - Understand the fundamentals of API-driven risk scoring and fraud detection. - Configure Python environments securely using environment variables for API keys. - Send structured requests to the Clearbit Risk API and parse JSON responses. - Analyze email and IP data points to calculate custom threat scores. - Implement modern Python practices like type hints and robust error handling for API calls. - Design basic defensive workflows to flag or block high-risk signups. You will start with the core concepts of fraud prevention and API integration, then progress to writing clean, structured Python code to query the API and interpret risk metrics. This course is designed for beginner developers, security enthusiasts, and backend engineers looking to implement basic automated fraud checks. No prior experience with security APIs is required, though a basic familiarity with Python variables and functions is helpful. Start building your automated fraud defense system today.