If you are developing or maintaining an IPQS API documentation overview, it’s important to be aware of the best practices for writing documentation. Good API documentation offers clear rundowns of all endpoints, methods, parameters, accepted data types, and authentication mechanisms. It also covers the most common use cases and gives detailed instructions on how to invoke the API for these use cases. Additionally, it’s essential to test, review, and verify the documentation to ensure that it is accurate and helpful.

Email Address Trustworthiness Analyzer – Is Your Inbox Safe?

IPQS is a fraud prevention solution designed to improve digital security for businesses. It provides real-time threat intelligence and enables companies to verify user digital identities without manual verification processes, helping them avoid financial and reputational losses. With a range of tools such as Bot Detection, Proxy & VPN Detection, Email Validation, Phone Number Validation, Device Fingerprinting, and User & Transaction Scoring, IPQS helps prevent fraudsters from committing chargebacks, phishing, account takeover (ATO), fraud in e-commerce, fake logins, and other malicious activities.

The API is powered by machine learning to assign risk scores to devices, users, transactions, and clicks, detecting sophisticated fraud techniques such as proxy, VPN, and Tor detection. It’s ideal for integrating into authentication workflows, as it detects fraudsters in the process of creating an account or making a payment online. The API’s Bulk Verification CSV feature enables teams to verify large lists of records with a single request and automatically upload the results for download. It also supports a variety of file formats including JSON and CSV, making it easy for teams to integrate it into their custom ETL pipeline.