IP data was useful, but it needed more than a raw lookup.
Other Flat18 apps needed city, region, ASN, and request context, but the data only mattered if it stayed fresh and the caller could trust what came back later.
A compact IP intelligence API for Vercel that combines city and ASN lookups, browser-safe geo responses, scheduled refresh dispatch, and a freshness monitor built for operations.
ipinfo, geo, refresh, and freshness cover the full lifecycle.
Private responses stay light for repeat calls.
Freshness checks stay cheap while still showing stale data quickly.
Flat18 approached IPGeo as a reliability problem first. The API had to answer location questions quickly, keep browser callers safe, and make data age visible without turning the request path into a heavy job.
Other Flat18 apps needed city, region, ASN, and request context, but the data only mattered if it stayed fresh and the caller could trust what came back later.
Flat18 Geo ended up with four clear jobs: lookup, browser-safe geo, refresh dispatch, and freshness monitoring. Each surface keeps its own auth, cache, and response rules.
A monitor endpoint and a background refresh path keep operators aware of data age without making the request path slow, fragile, or hard to support.
Each surface has one job: keep the lookup predictable, keep the browser path safe, and make the next operational step obvious.
The geo endpoint resolves the caller IP from request headers, supports explicit lookups, and keeps the response usable from the browser.
The lookup endpoint returns city, region, country, timezone, and ASN data with predictable cache behaviour.
Refresh calls validate their trigger, dispatch GitHub Actions, and hand off the heavier GeoLite load without blocking the edge request.
The freshness endpoint reports the latest load row so operators can see when GeoLite data last changed.
Flat18 kept the hot path thin, moved the heavier data reload into GitHub Actions, and split the API into small endpoints so lookup, refresh, and monitoring each stay easy to understand.
Flat18 treated IPGeo as a confidence problem. The API needed to return useful location data, stay fast enough for other apps to call on demand, and make it obvious when the underlying GeoLite data had gone stale.
Other apps needed IP context, but a raw lookup was not enough unless the data was fresh and the response shape stayed predictable.
The service needed separate paths for lookup, browser-safe geo, refresh dispatch, and monitoring instead of one heavy endpoint doing everything.
We built cache-aware endpoints, a GitHub Actions reload path, and a freshness monitor on top of Neon Postgres and the GeoLite2 data model.
Flat18 apps can add geolocation context without taking on a heavy platform or a fragile refresh routine.
Flat18 can turn geolocation, refresh jobs, and freshness monitoring into a service that stays clear under pressure.
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