IPGeolocation

You do not need 12 regional landing pages. You need one page that adapts.

Most companies personalize content by asking visitors to pick a region from a dropdown, or they build separate pages for each market, or they serve the same page to everyone and accept it only resonates with one audience.

IPGeolocation.io's IP Location API returns country, city, currency (name, code, symbol), language, timezone, calling code, and is_eu flag before the page renders. One call. One response. Everything you need to personalize without separate regional sites.

What this looks like in practice:

1. Currency - visitor from Japan sees JPY. UK sees GBP. Brazil sees BRL. One page. One pricing component. Currency pulled from the API.

2. Language - spoken languages returned per country. Right language variant served automatically. No dropdown.

3. Regional promos - show Black Friday to US visitors. Diwali offers to India. Singles Day to China. Relevant promotions, not all promotions.

4. Compliance content - is_eu true? Show GDPR disclosures. California? CCPA notices. Same page. Different compliance paths.

5. Social proof - show case studies from the visitor's region. A German prospect resonates more with a European customer story.

6. CTA routing - APAC visitor sees APAC sales team calendar. European visitor sees the EU team. Same button. Different destination.

One page. One API call. Six layers of personalization. No content forks.

https://ipgeolocation.io/ip-location-api.html

Between 2 AM and 4 AM last Tuesday, your checkout processed 3,200 transactions. Average order: $1.04. Almost all succeeded. Nobody flagged it.

A week later, the chargebacks started. Not on the $1 orders. On high-value purchases made with the same stolen cards that were quietly tested during that 2 AM window.

This is card testing. Here is how it works:

1. Attacker buys thousands of stolen card numbers. Most are dead or canceled.
2. They test each card with small transactions on your checkout. $0.50, $1, minimum orders.
3. Each test comes from a different IP. Residential proxies, VPNs, cloud instances. Rate limiter never triggers.
4. Working cards get separated from dead ones. Now the attacker has a verified list.
5. Verified cards are used for big purchases or sold as "confirmed working" at a premium.

Your system saw 3,200 small successful transactions from 3,200 different IPs. Everything looked normal.

The signals that catch this:

- is_residential_proxy - cluster of small transactions from residential proxy IPs at 2 AM is not shopping behavior
- is_cloud_provider - burst of $1 transactions from AWS or GCP is infrastructure, not a consumer
- threat_score - IP scoring 75+ should not clear checkout without verification, regardless of order value
- is_known_attacker - "new customer" on a known attacker IP? That $1 order is reconnaissance, not a sale
- proxy_confidence_score - confidence above 80 triggers step-up verification even on small orders

The $1 transaction is not the loss. It is the test run. The chargebacks come later.

https://ipgeolocation.io/ip-security-api.html

Midnight. Active incident. Your engineer has 20 suspicious IPs from firewall logs. They need geolocation, threat scores, ASN data, and abuse contacts for each one. Right now.

Options: paste IPs one at a time into a browser lookup tool, or write a quick script to call the API, handle auth, parse JSON, and format output. At midnight.

Neither should be the answer.

IPGeolocation.io now has an official CLI. One binary. Every API available from your terminal.

What you can query:

1. Geolocation - country, city, timezone, currency, connection type
2. Security - VPN, proxy, Tor, threat score, provider names
3. ASN - organization, network type
4. Abuse Contact - email, phone, organization
5. User Agent - browser, OS, device, bot detection
6. Timezone and Astronomy data

Works with any IPv4, IPv6, or domain. Structured output that pipes into scripts, cron jobs, and CI/CD pipelines.

Where teams use this:

1. Incident triage - pull full IP context for a list of IPs in seconds. Pipe into your incident doc.
2. Automated enrichment - cron job enriches new IPs from logs nightly.
3. CI/CD security - validate incoming IPs before deployment.
4. Quick dev lookups - test geolocation logic. One command. No Postman.
5. Network diagnostics - check ASN and hosting for any IP without leaving the terminal.

macOS, Linux, Windows. Prebuilt binaries on GitHub.

https://ipgeolocation.io/cli/ipgeolocation

If your data team still enriches IPs by exporting them from Snowflake, running them through an external API, and importing results back, that workflow just became unnecessary.

IPGeolocation.io is now on the Snowflake Marketplace. Six databases shared directly into your account. No ETL. No API calls. No data leaving your environment.

What is available:

1. IP to Location - 20+ fields including city, timezone, currency, language, connection type
2. IP Security - VPN, proxy, Tor, bot, attacker detection with threat scores and provider names
3. IP to Company - 30.6M records. Anonymous traffic becomes named accounts.
4. IP to ASN - ASN, organization, network type
5. IP Abuse Contact - name, email, phone for the abuse team behind any IP
6. Residential Proxy - provider name and last-seen date for residential proxy IPs

Workflows teams are running:

1. Fraud detection - join security data against transaction logs. Flag risky IPs with threat scores before transactions clear.
2. Audience segmentation - enrich analytics with location, timezone, and currency. Pipe into BI dashboards without leaving Snowflake.
3. Incident response - abuse contacts for every offending IP in one query. No manual WHOIS.
4. B2B intelligence - turn anonymous traffic into named company visitors. Filter out ISP and hosting noise.
5. Geo-fencing - enforce licensing, GDPR, or pricing rules by country. Catch anonymizers with security data.

Free trial on all six listings. No credit card.

https://ipgeolocation.io/integrations/snowflake