KMD Chain Analytics: A First Public Map of KMD Address Activity
I have launched a small but, I think, important analytics site for the KMD chain: kmdstats.decker.im. It is not another price tracker, market-cap widget, or trading chart. Instead, it focuses on something that usually remains harder to see: how KMD addresses actually behave on-chain, where the supply sits, and how much of it has really moved in recent history.
The current dashboard is based on a snapshot taken at block 4,970,673 on June 12, 2026. It tracks 26,911 addresses holding at least 5 KMD, with a combined tracked supply of 142.81 million KMD. The dashboard includes 30-day, 90-day and 365-day activity windows, lifetime transaction counts, balance distribution, supply concentration, a Gini coefficient, dormancy waves, a top-500 rich list, and a separate Community only mode that excludes notary and technical addresses.
| What the dashboard shows | Why it matters |
|---|---|
| Active addresses over 30, 90 and 365 days | It helps separate the raw number of addresses from actual network activity. |
| Supply distribution and Lorenz curve | It shows how concentrated the KMD supply is and which balance buckets hold it. |
| Dormancy waves | It helps identify which coins have been idle for years and which remain more likely to be liquid. |
| Community only mode | It separates user-driven activity from notary and technical infrastructure. |
| Raw CSV dataset | It makes the analysis reproducible: anyone can download the data and check the numbers. |
The methodology is straightforward, but technically time-consuming. The data was exported from a fully synced komodod node with address indexing enabled. From there, the complete on-chain transaction history of every KMD address was aggregated up to the snapshot block. The full scan covers 3,052,657 addresses ever used on the chain; the public extract keeps only addresses with a balance of at least 5 KMD, excluding dust and emptied addresses.
It is also important to clarify what the numbers mean. Balances are measured at the snapshot block, not as historical averages. Activity counters track transactions touching an address within trailing 30-day, 90-day and 365-day windows, while the lifetime counter covers the address’s full history. The dashboard does not try to identify individual people behind addresses — one user can control many addresses — but it does provide a rare view of the network’s structure as a whole, rather than just isolated transactions in a block explorer.
A few numbers already stand out. Only 9.0% of tracked addresses transacted in the last year, yet those addresses control 59.2% of the tracked supply. At the same time, 62.8% of addresses have not moved in more than five years, but they hold only 9.37% of supply. In other words, a large share of old addresses appears to sit in legacy or lost-key territory, while more recent activity is connected to a much larger share of capital.
Another important layer is the split between community activity and infrastructure activity. In the default All addresses view, the site shows 67.62 million lifetime transactions across tracked addresses. After excluding notary and technical addresses, that figure becomes 8.24 million. Over the last year, community addresses generated 807.6 thousand transactions, or about 26% of total chain traffic, with the rest coming from notary and technical infrastructure.
To my knowledge, this kind of address-level view of the KMD chain — combining activity, dormancy, supply concentration, balance buckets, rich-list data and infrastructure filtering — has not been publicly collected and presented in this form before. KMD has had block explorers for years, but an explorer usually answers a narrow question: “What happened to this transaction or address?” This dashboard asks something broader: what does the chain look like as a living on-chain system?
That is why the data is open. The CSV file for the current snapshot can be downloaded directly from the site, which means anyone can verify the calculations, build their own charts, or use the dataset for deeper research. This is only the first version, and there is plenty of room to expand it: exchange labels, treasury labels, team or burn addresses, time-series snapshots, and historical comparisons could all make the picture even more useful.
For a project with Komodo’s long history, this kind of analysis is especially valuable. Komodo has long been associated with non-custodial, peer-to-peer and atomic swap technology; the official Komodo Platform website describes Komodo Wallet as a fully non-custodial decentralized wallet and DEX where users remain in control of their funds. But to understand an ecosystem more deeply, it is useful to look not only at the product layer, but also at the chain itself: who is active, where the supply sits, and which coins are actually moving.
You can explore the dashboard here: https://kmdstats.decker.im/
