TL;DR: TON’s health is measured by a set of quantitative indicators—throughput, block propagation, wallet activity, transaction volume, fees, finality time, contract efficiency, and node distribution. Monitoring these metrics helps developers, validators, and investors assess network performance and security.
What the metrics represent#
- Transaction throughput (TPS) – the number of transactions the network processes each second. It reflects the chain’s capacity to handle demand.
- Block propagation time – the delay for a newly created block to reach all nodes. Lower values reduce the risk of forks.
- Active wallets – count of unique wallets that have executed at least one transaction within a given period, indicating user adoption.
- Daily transactions – total number of transactions recorded on the blockchain in a 24‑hour window.
- Transaction cost – the fee paid to validators for confirming a transaction.
- Transaction completion time (time‑to‑finality) – the interval from submission to final confirmation.
- Smart contract performance – speed and resource usage of contract execution.
- Node decentralization – distribution of validator and full‑node operators across independent entities.
Services that track TON metrics#
TonStat – a dashboard offering time‑range views (1 m, 6 m, 1 y, all) of network statistics, including total transactions, fees, active wallets, DeFi TVL, asset counts, and validator data.
Telemetree.io – product‑level analytics for TON‑based applications, monitoring wallet usage, engagement events, and retention. Integration requires only a few lines of code.
Tonviewer – an explorer that visualizes real‑time TPS, transaction types (e.g., Jetton transfers, NFT operations), wallet histories, and validator activity.
Why monitoring matters#
- Network health assessment – metrics alert developers to node failures, DoS attacks, or performance regressions.
- Scalability evaluation – measuring throughput and propagation helps gauge the impact of protocol upgrades.
- Bottleneck detection – detailed stats reveal overloaded subsystems or inefficient contracts.
- Market insight – aggregated data informs analysis of user behavior, token demand, and ecosystem growth.