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Residential Proxy Detection

The Blind Spot In Your Privacy Detection

IPinfo's residential proxy detection flags traffic routed through real ISP-assigned IPs — the evasive proxies that bypass standard VPN and proxy detection entirely. It's a separate dataset purpose-built to catch them.

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{
ip:"62.227.203.10",
service:"thunderproxy",
last_seen:{
value:"2026-07-24"
},
percent_days_seen:14
}
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Comprehensive Residential Proxy Data

Identify one of the most evasive forms of anonymized IP address with IPinfo’s residential proxy detection. Used to mask large-scale attacks and account takeovers, residential proxies mimic real users and evade traditional detection. We surface clear signals on whether an IP is associated with a residential proxy provider.

Flexible Access Options

API, database download, and platform integrations—built for any stack, any scale.

Reliable IP Intelligence

Industry-leading precision, daily updates, and trusted accuracy for every IP address.

Built for Developers

Official libraries, clean docs, and powerful APIs designed for real-world deployment.

Built for rapid, accurate development

Sample Response

$ curl https://ipinfo.io/resproxy/175.107.211.204?token=$TOKEN
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{
ip:"175.107.211.204",
last_seen:"2025-06-24",
percent_days_seen:14,
service:"ipfoxy"
}

Dev Notes

Going to be developing with our data? Here's the main things you may want to know:

  • One-line setup via curl, fetch, or SDK
  • Multi-language SDKs (Node.js, Python, Go, PHP, Java...)
  • Real-time JSON, ~100ms average latency
  • Optional integrations (API, DBs, Snowflake, GCP, Splunk)
  • Trusted by Microsoft, WordPress, and 1000s of dev team
  • Fresh, reliable data with 99.99% uptime, updated daily
See our full documentation

Fast and Easy API Access

Gain access to our best-in-class data. Setup takes just a few minutes. 

  • 50-200 ms response time on average
  • 99.999% uptime
  • Data updates every 24 hours
  • Bank grade security

Custom database download

Leverage raw IP datasets, customize your data feeds, and choose your ideal format.

  • Customizable fields
  • Data updates every 24 hours
  • Bank grade security
925 MB104 million entriesUpdated on Jul 31st 26

How People Use Residential Proxy Detection Data

Residential proxy detection powers everything from fraud prevention to traffic quality analysis. By identifying IPs routed through residential proxy networks, teams can make faster, more informed decisions about risk, user trust, and traffic integrity. Here’s how top companies put IPinfo’s residential proxy detection data to work:

Fraud Prevention

Flag suspicious transactions by detecting traffic masked through residential proxies, improving fraud models without adding friction for trusted users.

Traffic Quality Verification

Ensure accurate campaign analytics by filtering out proxy-based traffic, improving the integrity of advertising and engagement data.

Threat Intelligence

Strengthen incident response by uncovering proxy-based infrastructure often used to conceal malicious activity.

Made for Developers, Trusted by Enterprises

Our expert in-house team diligently maintains and supports our Residential Proxy Detection, ensuring you always have accurate, up-to-date IP data at your fingertips. With libraries for more than a dozen popular programming languages—from Ruby to Rust and PHP to Perl—integrating our API is quick and seamless. Explore our developer docs to see just how easy it is to get started.

PHP
Spring
Python
Node.js
Ruby
Django
C#
Rails
Java
Express
Swift
Laravel
Go
Rust
Perl
Erlang
Oort (acquired by Cisco)

Our customers are trying to understand when accounts are performing suspicious activities. They need to determine if the user identity is who they’re claiming to be. IP address data is a really good indication of that.

Nicolas Dard
Nicolas DardVP of Product at Oort (acquired by Cisco)
CFC

We love to integrate with the IPinfo API because it provides us with a highly reliable and accurate stream of data.

Richard Wells
Richard WellsDirector at CFC
Cogility

Because our whole system is built around those principles of identification and attribution, we can’t use public information via RIR or other providers. Developing this caliber of data takes a lot of thought and intentional improvement. It’s really quite difficult. There’s a lot of value in having IP data delivered as a service.

Jeremy TurnerHead of Cyber and Risk at Cogility
Oort (acquired by Cisco)

Our customers are trying to understand when accounts are performing suspicious activities. They need to determine if the user identity is who they’re claiming to be. IP address data is a really good indication of that.

Nicolas Dard
Nicolas DardVP of Product at Oort (acquired by Cisco)
CFC

We love to integrate with the IPinfo API because it provides us with a highly reliable and accurate stream of data.

Richard Wells
Richard WellsDirector at CFC

Further Reading

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Frequently Asked Questions

  • A residential proxy routes internet traffic through real, ISP-assigned IP addresses belonging to everyday home connections. Because the traffic appears to come from a genuine residential user rather than a datacenter, it blends in with legitimate activity and slips past standard proxy and VPN detection.

  • VPNs and datacenter proxies route traffic through servers on hosting infrastructure, which is comparatively easy to identify from network ownership data. Residential proxies borrow real ISP-assigned home IPs, so they carry none of the datacenter fingerprints that traditional detection relies on — which is exactly why they need a purpose-built dataset.

  • Because the IPs are indistinguishable from real users at the network level. They resolve to consumer ISPs, rotate frequently across large pools, and show none of the hosting signals that flag a VPN or datacenter proxy. Catching them requires observing which IPs are actively participating in residential proxy networks over time, not just checking IP ownership.

  • IPinfo maintains a dedicated residential proxy dataset built from continuous observation of proxy network activity. Each flagged IP includes the proxy `service` it's associated with, a `last_seen` date, and a `percent_days_seen` value indicating how consistently the IP appears in the network — so you can gauge both recency and confidence.

  • It's the share of days within the observation window that an IP was seen active in a residential proxy network. A higher value signals a persistent proxy node; a lower value suggests occasional or intermittent use. It lets you tune how aggressively you act on a given IP.

  • It's a separate, purpose-built dataset. Residential proxies are designed to defeat conventional VPN/proxy detection, so IPinfo maintains this as a distinct data product rather than folding it into general privacy detection.

  • Common uses include fraud prevention (flagging account takeovers and payment fraud masked behind residential IPs), traffic-quality verification (filtering proxy traffic out of ad and engagement analytics), and threat intelligence (surfacing proxy infrastructure used to conceal malicious activity).

  • It's available via real-time API, database download (CSV, JSON, MMDB, PARQUET), and platform integrations like Snowflake, GCP, and Splunk.