Tracking Jupiter's on-chain trading volume and user growth relies on two core sets of reference data: use DeFiLlama for trading volume trends, and reference official quarterly reports plus on-chain wa

The core logic behind tracking Arbitrum ecosystem capital inflows and outflows is to "focus on three key areas": net asset inflow of cross-chain bridges, DEX trading volume distribution, and position

Lido's on-chain data is far less complicated than many assume. The core metrics to focus on are two key areas: which DeFi protocols stETH is locked in, and which large holders are staking or unstaking

The core tool for tracking active users and capital scale on the TON chain is Dune Analytics. Given TON's special "asynchronous message" architecture, you cannot rely solely on surface-level data, and

When analyzing Curve on-chain data, you only need to focus on three core priorities: whether the pool's liquidity is concentrated near the current market price, if transaction fees remain stable, and

To determine which chain is the most active in the Cosmos ecosystem, the core logic boils down to two core principles: track which chain has capital actively flowing through it, and which chain has it

zkSync's real user scale shows a "strong start followed by declining momentum" pattern: total on-chain addresses have exceeded 1 million, but user activity is highly dependent on incentive programs, a

To track changes in the on-chain scale of Ondo Finance's RWA (Real World Asset) holdings, the most direct entry point is RWA.xyz, paired with cross-validation using Dune Analytics and Ondo's official

When reviewing Aave on-chain data, you only need to focus on two core sets of metrics: fund pool utilization rate, and position health factor. The utilization rate tells you whether capital in the poo

When analyzing Maple Finance's on-chain data, you only need to focus on two core sets of indicators: AUM/active loan trends and bad debt rate/default history. The first set tells you whether the proto

To analyze Chainlink's on-chain data, you should focus on 3 core dimensions: Data Feed request volume, the cross-chain interoperability protocol CCIP's transfer scale, and the Total Value Secured (TVS

The prosperity of BNB Chain's ecosystem does not rely on marketing slogans, but is supported by solid on-chain data. To judge whether it is truly prosperous, we focus on three core sections: whether a

The real user adoption of NEAR Chain Abstraction has moved past the "narrative validation" stage, with quantifiable data to back up its traction: NEAR Intents has exceeded 550,000 monthly active users

The core workflow for tracking high-frequency trading (HFT) and liquidity data on Sei Network relies on a combined stack of three categories of tools: custom SQL queries on Dune for deep raw data anal

To evaluate Celestia's modular blockchain adoption progress, the most straightforward approach is to observe "who is paying for block space, who is building on top of it, and whether the overall infra

The core logic of tracking 5 public blockchains at the same time is "layered screening": first use high-level aggregation tools to quickly compare cross-chain metrics, then dive into specific chains f