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An empirical analysis comparing ten major IP geolocation providers against GPS ground truth data collected from real website visitors. This study evaluates accuracy using the Haversine distance formula after filtering non-residential traffic (datacenters, VPNs, proxies). Results show correct rates (≤50 km) ranging from ~50% to ~75% across providers.

This blog post examines 109 randomly selected IP addresses to measure the accuracy of IP to Company data that is inferred from WHOIS data. Discover why ipapi.is delivers 98% accuracy while top IP API competitors cannot provide accurate company data.

This blog post illustrates why ipapi.is surpasses ipinfo.io in terms of company and ASN data accuracy. Several samples of IP addresses and ASNs are looked up on both API providers and the results are compared. It turns out that ipinfo.io often fails to find the correct organization name and organization type, which has a significant impact on the accuracy of the API.

Since the establishment of ipapi.is in late 2022, the API has grown to become a new serious contender in the IP API field. One of the oldest and most reputable IP API services is ipinfo.io. This blog post discusses the question whether ipapi.is is a viable alternative to ipinfo.io and if ipapi.is might even the better option for some organizations in the cybersecurity field, since the pricing of ipapi.is is much lower, while the data accuracy is similar if not better.

This blog post discusses the accuracy of the company object in the ipapi.is API. The company object is one of the most crucial elements of the API and provides information about the organization that owns an IP address. The blog post compares the accuracy of company data between ipapi.is and its main competitors. The results prove that ipapi.is has the most accurate company data.