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IPinfo

IPinfo

Technology, Information and Internet

Seattle, Washington 3,880 followers

We're the trusted source for IP address data, handling over 40 billion API requests per month for over 500,000+ users.

About us

With IPinfo®, you can pinpoint your users’ locations, customize their experiences, prevent fraud, ensure compliance, and so much more. We handle over 40 billion API requests per month for over 500,000+ companies and developers.

Website
https://ipinfo.io/
Industry
Technology, Information and Internet
Company size
51-200 employees
Headquarters
Seattle, Washington
Type
Privately Held
Founded
2013
Specialties
IP address data, IP data, IP address API, IP address, Data, SaaS, DaaS, Cybersecurity, and Internet data

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Updates

  • Accuracy you can’t examine, test, or benchmark isn’t really accuracy, it’s just a claim. This myth looks at why transparency matters more than secrecy, and why real confidence comes from data you can actually verify. Want to validate it yourself? With ProbeNet Live, you can run real-time network measurements from 150+ countries and see how the internet behaves from our global network of PoPs. Try it free now: https://lnkd.in/gzAADYrC #IPData #DataAccuracy #ProbeNet

  • Geofeeds are referenced frequently in discussions about IP geolocation. As adoption grows, real-world implementation is revealing a few recurring operational challenges that show why geofeeds work best when combined with a broader IP data methodology. Here are 7 challenges we’re seeing with geofeeds in practice: 1. Ambiguous locations and formatting errors In the wild, geofeeds often contain swapped country/region fields, invalid ISO codes, malformed prefixes, or encoding issues. Individually minor, but at scale they introduce real friction for teams trying to operationalize the data. 2. Incentivized or adversarial location claims Some networks have incentives to publish optimistic location data, especially in VPN infrastructure where marketing emphasizes global coverage. At scale, this can create noticeable distortions in ecosystem telemetry. 3. False precision City-level geolocation is sometimes claimed for infrastructure that realistically cannot support that level of accuracy. In practice, overly precise data can be more harmful than coarse but correct signals. 4. User location vs. infrastructure location In environments like LEO networks, VPNs, mobile roaming, CGNAT, or anycast deployments, the user’s physical location can diverge significantly from the infrastructure location. Today, geofeeds do not clearly signal which one they represent. 5. Stale data and missing validity windows Many geofeeds lack clear indicators of freshness. Consumers often cannot determine how long an entry should be trusted or when it was last meaningfully updated. 6. No clear feedback loop When consumers detect errors, there is often no obvious channel to contact the geofeed maintainer. Issues may remain unresolved, forcing downstream systems to either normalize aggressively or ignore the signal. 7. Barriers to RFC-conformant deployment Publishing geofeeds through the standard discovery path can still require manual effort and specialized knowledge. Better tooling and validation services could significantly improve ecosystem quality.

  • The industry expects too little from IP data. Teams are used to accepting “close enough” locations, unverifiable signals, and datasets that refresh slower than the internet changes. But gathering accurate signals is not luck. It’s measurement. And the truth is, if your IP data cannot show its evidence, you are putting your trust in a hunch. The standard should be simple: only trust the data that can show its work (ours is in the comments.)

  • RSAC 2026, IPinfo edition 👇 Our takeaways from the week: 1️⃣ Teams are looking beyond basic IP signals. Context and measurement are becoming table stakes 2️⃣ Residential proxy activity continues to grow, and teams are looking for ways to stay ahead of increasingly sophisticated use 3️⃣ SOC and managed security teams are prioritizing signal quality and looking to reduce time spent on false positives driven by incomplete or inaccurate data The conversations this week reinforced something we think about a lot at IPinfo: context drives decisions, and context depends on data that is verified and measured. Thanks to everyone who stopped by the booth, shared what they’re working on, or spent time digging into use cases with us. #RSAC2026 #PrivacyDetection #Cybersecurity #BreakingBad #FraudPrevention

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  • View organization page for IPinfo

    3,880 followers

    Great to present at #RSAC2026 today with AbuseIPDB. In our session, Inside Today’s Abuse Infrastructure, we walked through AbuseIPDB’s latest research on how VPNs and residential proxies are actually being used for abusive activity in the wild. Powered in part by IPinfo’s proxy and privacy detection data, the analysis highlights where risk concentrates, how behavior varies across providers, and what this means for detection workflows. If you’re at RSA and want to continue the conversation or see how teams are applying this in enrichment workflows, come find us at the IPinfo booth, S-2345. Daniel Quandt Jonathan Weber

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  • If you’re at #RSAC2026 and curious about how IP data is actually generated, validated, and measured, we’re sharing early demos of ProbeNet Live this week. The focus is on understanding where confidence in IP data comes from and how measurement plays a role in accuracy, especially for security workflows that depend on VPN and proxy signals. Stop by the IPinfo booth, S-2345 and check it out for yourself!

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  • IP addresses change constantly, and registry data like WHOIS and geofeeds often contain inconsistencies. So how do you turn probabilistic signals into verified IP intelligence? In this article, we walk through how IPinfo approaches IP data accuracy, from multi-source data generation to active network measurement with ProbeNet, our proprietary internet measurement platform 👇

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IPinfo 1 total round

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