Blockchain KPIs.

Transaction volume is the total number of transactions processed by a blockchain in a given period — typically measured per day, per block, or per year. It is the most direct signal of how much a network is actually being used.

High transaction volume is indicative of active use and reflects a network's popularity and adoption. Sustained growth in volume usually correlates with rising user demand. A sudden spike, on the other hand, can signal anything from a viral application launch to spam or wash trading, so volume should always be read alongside transaction value and active addresses.

Transaction value measures the total value of assets transferred across a blockchain over a given timeframe, denominated either in the native currency or in USD. Where transaction volume counts how often the network is used, transaction value reveals how much is at stake.

High transaction value suggests significant economic activity and real utility. A chain with millions of low-value transactions tells a different story than one with fewer, higher-value transfers — the former implies retail or microtransaction usage, the latter institutional or settlement activity.

Active addresses count the unique addresses involved in transactions during a specific period. This metric gauges genuine user engagement, since one user typically operates one or two primary addresses.

Daily and monthly active addresses (DAA / MAA) are the most common reporting cadences. A growing active-address count indicates an expanding user base, while flat or declining numbers — even when transaction volume stays high — can suggest a few power users or bots are doing most of the work.

Total addresses is the cumulative count of unique addresses ever recorded on the blockchain. It functions as a long-term adoption metric, similar to total user signups for a traditional product.

An increasing total typically indicates rising interest. The metric has a known weakness: it never decreases. Addresses associated with abandoned wallets, lost keys, or one-time interactions stay in the count indefinitely, so total addresses always overstates the live user base. Pair it with active addresses for a realistic picture.

Block time is the average duration between new blocks being added to the blockchain. Bitcoin targets roughly 10 minutes, Ethereum mainnet targets 12 seconds, and modern L1s and L2s often target 1–2 seconds or less.

Block time directly impacts transaction confirmation times — shorter block times mean faster user-facing finality. The trade-off is that very short block times can reduce decentralization, since validators with slower hardware or worse network connections fall out of consensus. You can see live block times across multiple chains on the on-chain data dashboard.

Block size is the average data size of blocks added to the blockchain, usually measured in bytes or in gas (Ethereum). It defines how many transactions can fit into a single block.

Larger blocks can handle more transactions per block, increasing throughput. The cost is heavier storage and bandwidth requirements for full nodes, which affects how easily new participants can join and verify the network. Block-size debates are at the core of nearly every major blockchain design discussion.

Raw transactions per second (TPS) is the throughput marketing metric most chains advertise. Decentralized TPS combines that throughput measurement with the level of decentralization, providing a more honest comparison.

A chain claiming 50,000 TPS but running on 10 validators is not equivalent to one doing 500 TPS across 100,000+ validators. DTPS attempts to weight throughput against the underlying decentralization, helping evaluate whether speed is being purchased at the cost of trust assumptions.

Hash rate measures the total computational power dedicated to mining and securing a proof-of-work blockchain. Higher hash rate means more energy and hardware are required to mount a 51% attack, making the network more secure.

For Ethereum and other proof-of-stake networks, the equivalent metric is total value staked. Both measure the economic cost of attacking the network. A declining hash rate or stake total can signal weakening security assumptions.

The Gini coefficient measures inequality in the distribution of resources — typically token holdings or staking weight — within a network. A coefficient of 0 represents perfect equality; 1 represents one entity holding everything.

A lower Gini coefficient indicates a more even distribution and suggests the network is harder to capture economically. A high Gini coefficient warns that a small number of holders or validators concentrate disproportionate influence. The metric is widely used in economics generally, which makes it easy to communicate to non-technical stakeholders.

The Nakamoto coefficient is the minimum number of entities that would need to collude to disrupt the network's consensus mechanism — for example, by halting block production or censoring transactions. The higher the coefficient, the more decentralized the network.

A Nakamoto coefficient of 4 means just four entities together could compromise consensus. A coefficient of 50 means an attacker would need to coordinate fifty independent organizations. It is one of the most honest single-number measures of decentralization available, and worth checking before assuming a network is "decentralized."

Network fees are the costs users pay to have their transactions processed and confirmed. On Ethereum these are denominated in gwei; you can convert between units on the dedicated ETH unit converter. Fees fluctuate with network demand.

Sustained high fees signal congestion and demand for blockspace, which is healthy for protocol revenue but bad for user experience. Sustained low fees can indicate either ample capacity or weakening usage. Either way, fee trends are one of the clearest signals of real-time network state.

The NVT ratio is the market capitalization of a blockchain divided by its transaction volume. It is the on-chain equivalent of the price-to-earnings (P/E) ratio in traditional finance, and the most-cited valuation heuristic in crypto.

A lower NVT suggests the network's market value is well-supported by underlying transaction activity. A high NVT can indicate the asset is overvalued relative to actual use, or that the network is in a growth phase where investors are paying for future utility. NVT is most useful for spotting divergence between price and fundamentals over time.