API Documentation

BigDataCloud utilizes a proprietary and patent-pending Big Data-driven technology to determine the usage localities of all active IP addresses worldwide. We do not rely on any other IP Geolocation providers' data for anything related to IPv4 address space. However, we are still in the process of developing our approach for the IPv6 address space, and some location data specific to IPv6 address space may include point coordinates from GeoLite2 data created by MaxMind, which is available from their website, https:/www.maxmind.com.

Yes, you can use our FREE APIs on your commercial websites and apps, as long as you do not violate the terms and conditions of the respective API packages. Please check the documentation of the individual API endpoints for their API request limits and fair use policies.

Absolutely! BigDataCloud is committed to remaining a reliable service provider, and we are pleased to confirm that our industry's first, no-cost Client-Side Reverse Geocoding API will remain free. We pledge to make every effort to maintain this offer for as long as possible.

Our Hazard Report is an innovative cybersecurity metrics set that provides businesses with both reactive and proactive approaches to combat cyber threats. The reactive approach involves monitoring IP addresses against trusted blacklist sites such as blocklist.de, uceprotect.net, and Spamhaus, as well as using advanced algorithms and third-party sources to identify anonymisers like VPNs and proxies. However, while this approach is effective, it is limited to only identifying services listed on these websites and may not detect newly established malicious services in a timely manner, leaving businesses vulnerable to high-risk attacks....

The geographical location information available on BigDataCloud API is based on a proprietary designed dataset and ultrafast geo-resolver technology. We do not make use of third-party search engines, such as Nominatim.We would like to acknowledge and thank the following organisations and data sources for taking an important part in our data building process:...