> For the complete documentation index, see [llms.txt](https://docs.rubyscore.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.rubyscore.io/products/network-ranking.md).

# 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).