Network Ranking

A ranking of blockchain networks by overall on-chain activity, user quality, and growth momentum. It helps ecosystems, projects, and users see where real value (not noise) is forming — and make smarter decisions about building, marketing, and partnerships.

The ranking is built on key on-chain metrics. The more genuine interactions and new users a network has, the higher it ranks.

Top metric panel (aggregates)

• Total Active Accounts — total active addresses for the selected window + % change vs. the previous window.

• Total New Accounts — total new addresses + % change.

• Total Transactions — transaction count + trend.

• Average transactions — average tx per active address + trend.

Filters & views

• Period: 1D, 7D, 30D, ALL — switch the analysis window.

• Network type: L1 / L2 / ALL.

• Sorting: by any table column (arrow icon in the header).

Ranking table

Columns show the current value and the % change vs. the prior period:

• No — rank position (with movement indicator: +1, -1).

• Chain — network (icon + name).

• Active Accounts and % — active addresses and their delta.

• New Accounts and % — new addresses and their delta.

• Transactions and % — transaction count and delta.

• Avg. Txns and % — average transactions per active address and delta.

How to read a row (based on the screenshot)

Use the columns above to understand which chains are gaining or losing traction: rising New Accounts with increasing Avg. Txns typically signal healthier growth than a one-off spike in Transactions alone.

How to use the ranking

• Pick networks for campaigns: sort by New Accounts or Avg. Txns to find chains with inflow and deep engagement.

• Assess ecosystem momentum: toggle 1D/7D/30D to separate short-term spikes from sustained trends.

• Benchmark partners: compare L1 vs. L2 to account for differences in user patterns.

• Detect anomalies: sharp % swings in Transactions and Avg. Txns can reveal inorganic traffic or campaign effects.

The same set of metrics is available in the API for dashboards and automation (time-window aggregates, ranks, deltas, and per-network profiles).