Stats
XRP Ledger network analytics — activity, geolocation, and UNL health at a glance.

Stats aggregates network-wide XRP Ledger metrics so you can answer "is the network healthy?" and "what's the load profile today?" without running your own indexer.

Live at stats.honeycluster.io.

What you can see
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PageWhat it shows
/xrpl
Live XRPL network activity — ledger close rate, transaction throughput, validator participation
/domains
Top domains publishing to XRPL (via Domain fields), ranked by activity
/geolocation
Validator and node distribution on a world map, by region and country
How the data is collected
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Stats reads from the same Clio cluster that powers the API. Counts are aggregated in short windows (typically 1-minute buckets) and kept in Honeycluster's analytics store — see @honeycluster/db's analytics schema in the monorepo for the exact shape.

Nothing on this page is secret or proprietary — every number comes from public XRPL data you could compute yourself with a full-history Clio node and enough patience.

When to use Stats
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  • Capacity planning — check peak throughput for the last 7 days before you size a listener or a database.
  • Incident correlation — if your integration sees an error spike, the Stats page tells you whether the network also hiccupped or whether the problem is local to you.
  • Geographic rollout — the geolocation map helps pick regions for latency-sensitive deployments. Honeycluster routes to the nearest healthy region automatically, but you still want to know where the validator density is.
  • Ecosystem research — the domains view surfaces which projects are active on-chain, useful for tracking integrations or partnership outreach.
Pairing with your own analytics
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Because Stats reads the same data plane as the API, a dashboard you build yourself on top of Honeycluster will match the numbers here. If there's a divergence, it's almost always a time-window mismatch — Stats uses closed ledger boundaries, not wall-clock seconds.

See Full-History Queries (coming soon) for how to replicate specific Stats charts in your own code.