Every IP on the internet carries a story — who owns it, what infrastructure it sits on, and whether it's trying to hide something. This page is a quick field guide to the categories we classify, and the problems this kind of data actually solves — especially now that so much traffic comes from AI agents, not humans.
Every record in our dataset gets evaluated against these dimensions. An IP can belong to more than one — a VPN exit node can also be a datacenter IP, for example.
An address assigned by an ISP directly to a home or mobile connection — Comcast, Vodafone, Jio, etc.
is_residential, ispAssigned to a cloud provider or hosting company — AWS, Hetzner, DigitalOcean, OVH, etc.
isp = Datacenter, asn, org_nameIP ranges published by commercial VPN providers — used to mask a user's real location and identity.
is_vpnThe final hop in the TOR network before traffic reaches the open internet — the IP a destination server actually sees.
is_torApple's iCloud+ feature that routes Safari traffic through two relays so neither Apple nor the destination sees both your identity and your activity.
is_apple_relayFor proxies specifically, we actively test what a destination server sees when traffic passes through.
anonymity_level, protocolA growing share of requests hitting any given server today aren't from a person clicking a mouse — they're from AI agents, browser automations, scrapers feeding LLM training pipelines, and bots impersonating both. Knowing what kind of IP a request comes from is one of the few reliable signals left.
A sample of the problems IP-type and proxy intelligence data gets used for — across security, AI, and growth teams.
Flag requests from datacenter ranges, known VPNs, or proxy exit nodes to separate genuine human visitors from automated agents and scrapers.
Teams building web-scraping pipelines for LLM training data use proxy IPs to distribute requests — this dataset helps both build and detect such pipelines.
VPN and TOR usage, combined with datacenter origin, are classic signals in fraud-scoring models for signups, logins, and payment flows.
Use verified proxies across regions and ASNs to test how your app, ads, or pricing behave from different network vantage points.
Cross-reference an IP of interest against known TOR exits, VPN ranges, and ASN ownership to quickly narrow down what kind of connection you're looking at.
Build and tune WAF / bot-management rules using a live, classified feed instead of static, slowly-updated blocklists.
Free during early access — get the latest snapshot with full classification fields.
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