The Proxy Detection API documentation provides a comprehensive look at the features and functionality of this API.

The ability to identify users behind a proxy or VPN is crucial to the security of your online business. Fraudsters and hackers use proxies to hide their true connection details in order to commit fraud, spam, or scrape data. With the right tools, it’s possible to detect these users in real time and take the necessary actions to mitigate risk.

Proxy Detection API Documentation: Everything You Need to Know

With the Proxy Detection API, you can instantly check whether an IP address is associated with a proxy or VPN. The API also identifies the approximate location, ISP, and connection type of the user. It can distinguish between residential, mobile, and data center IPs, as well as detect TOR exit nodes, transparent proxies, and private VPN networks.

Unlike many traditional proxy detection methods, the Proxy Detection API does not rely on shared blacklists, which can be inaccurate and result in false-positives. Instead, it utilizes a combination of multiple, sophisticated techniques, including device fingerprinting (comparing the browser’s advertised operating system to the real one), IP geolocation, and web-based pattern analysis.

This enables the API to reliably identify users behind a proxy or VPN, even if they are using a custom configuration. The API can be configured with a strictness parameter, which controls how in-depth the detection is. This can be set to 0 or 1 to reduce the number of false-positives, or to higher values for more aggressive detection. It can also be configured to skip certain checks for IP addresses from research institutions, schools, and some corporations.…