The organization behind each IP range.
Every registered or announced IPv4 and IPv6 range with the organization that uses it: its name, domain, type and country. Where an ISP has assigned a block to a business, a school or a public body, the row names that customer rather than the ISP, and the AS announcing the range rides alongside.
Schema at a glance.
See documentation →The database's schema and metadata are documented carefully. It is published as CSVGZ and MMDB.
| start_ip | end_ip | name | domain | type | country | asn | as_name |
|---|---|---|---|---|---|---|---|
| 8.8.8.0 | 8.8.8.255 | Google LLC | google.com | hosting | US | 15169 | Google LLC |
| 62.254.148.224 | 62.254.148.231 | UNIVERSITY OF CAMBRIDGE | cam.ac.uk | education | GB | 5089 | Virgin Media Limited |
| 189.17.31.240 | 189.17.31.255 | Nestle Brasil Ltda | nestle.com | business | BR | 4230 | CLARO S.A. |
| 212.222.48.48 | 212.222.48.63 | Deutsche Lufthansa AG | lufthansa.com | business | DE | 3257 | GTT Communications Inc. |
| 2001:1890:8426:34b:: | 2001:1890:8426:34b:ffff:ffff:ffff:ffff | US CENSUS BUREAU | census.gov | government | US | 7018 | AT&T Enterprises, LLC |
Downloading it from code.
Database API reference →One call gets you the current IP Company build. Every official client wraps it three ways: straight to disk, a time-limited link you hand to your own runner, or bytes in memory. A file written to disk lands only once the whole transfer has arrived, and checksums() returns the published digests to verify it against.
download()downloadUrl()downloadBytes()metadata()checksums()import osfrom internetdata import InternetDataclient = InternetData(os.environ["INTERNETDATA_API_KEY"])# what is in today's build, without moving the filemeta = client.database.metadata("ip_company_v1")client.database.download("ip_company_v1", "mmdb", "./ip_company_v1.mmdb")sums = client.database.checksums("ip_company_v1", "mmdb")print(meta.updated, meta.entries, sums["sha256"])
Getting your hands on it.
The file is the product. Teams join IP Company against traffic they already log, inside their own infrastructure, and never send an address anywhere to get an answer.
Visitor attribution
Name the businesses behind your traffic, with the domain to match them against the accounts you already have.
Account and payment risk
Tell an office network from consumer broadband or a hosting provider by the kind of organization using the address.
An official client for every major language.
All SDKs on GitHub →Twelve official clients for the languages you ship in, each wrapping the database endpoints — list what you are licensed for, poll a build, follow the download redirect, verify what landed. Install commands are in the docs.
No loose ends.
What does a row tell us?
One range and the organization that uses it: its name, its own domain, the kind of organization and the country it is registered in, then the AS announcing the range with that network's name, domain and type.
What do the type values mean?
isp, hosting, education, government or business: the kind of organization using the range, with the same values the ASN database gives a network. as_type is the announcing AS's.
How is it different from IP ASN?
IP ASN names the network that announces a range. IP Company names the organization using it, which is often a customer of that network: a bank's block inside a telecom's space has the bank here and the telecom in as_name.
Why is domain empty on some rows?
No domain is known to be that organization's own, and a provider's or a registry's domain is never put in its place.
How often is it rebuilt?
Daily. The metadata call answers when the current build landed and how many rows it holds, before you fetch it.
Which formats does a build ship in?
Gzipped CSV and MMDB, both cut from the same build. Poll the metadata call first and fetch only when the build has changed.
What if a row looks wrong?
Send it to us and we'll tell you what we hold on it, when we last saw it and how. Corrections land in the next build.
Test the real build first.
An evaluation license puts a full current build in your hands — every row, every column, no sampling — so you can measure it against your own traffic before anyone talks about terms.