Practical On-chain Data Guide: Efficient Tools & Workflows to Track 5 Public Blockchains Simultaneously
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 for in-depth analysis based on key findings. This workflow keeps you efficient even as on-chain data volume expands rapidly, instead of getting flooded by massive unstructured information.
1. Use Nansen "Chain God Mode" for High-level Screening
What it does: Open Nansen and use the "Chain God Mode" feature to compare core metrics of up to 5 chains in one view, to identify where market attention is concentrated at the moment. This is the most straightforward method to quickly locate which chain is worth deep diving into.
How to use it:
Nansen's Chain God Mode allows you to select 5 chains and adjust the time range to view core metrics including active address count, transaction count, fee revenue, top 5 entity rankings and more.
Step-by-step operation:
Open Nansen and navigate to the "Chain God Mode" dashboard.
Select the 5 public chains you want to track (for example: Ethereum, Solana, Base, BNB Chain, Arbitrum).
Compare the following key metrics:
Active addresses: Which chain has the highest daily active users? Is the number growing or declining?
Transaction fees: Which chain generates the most fee revenue? High fees usually indicate users are willing to pay a premium for block space.
Top 5 entities: Which projects contribute the majority of fees? If fees are highly concentrated in a small number of entities, it means the ecosystem has high dependency and may carry structural risks.
Completion criteria: You can clearly answer which of the 5 chains had the fastest growing active addresses and highest fee revenue over the past 7 days, and are able to filter out 1-2 high-priority chains for further tracking.
Prerequisite: Have a valid Nansen account. Chain God Mode is Nansen's exclusive feature that is extremely practical for multi-chain researchers.
Common pitfalls to avoid: When tracking 5 chains at once, it is easy to fall into the trap of wanting to check every detail of every chain, leaving no time for deep analysis. Use Chain God Mode to quickly filter out 1-2 chains with obvious changes in capital activity first, then allocate your time to granular analysis.
2. Use Dune for Customized Deep Dive Analysis
What it does: When Chain God Mode detects abnormal activity changes on a specific chain (such as a sudden spike in fees, or a surge of new entities), use Dune to run targeted SQL queries or leverage public dashboards to break down the source of the change.
How to use it:
Dune supports raw transaction data and decoded smart contract events for more than 130 blockchains, with a huge library of community-built public dashboards that you can reuse directly.
2026 Efficiency Updates Worth Noting:
Dune MCP Server: Allows AI Agents to directly query on-chain data via natural language, no manual SQL writing required.
CLI + Skills Framework: Enables AI Agents to independently complete the full workflow of "locating data tables → writing queries → returning results", which is ideal for automated research.
Operation suggestions:
Search Dune for public dashboards of the target chain (for example: "Arbitrum Daily Activity").
If the data from public dashboards is not granular enough, directly copy its SQL code, adjust the filter conditions, and run it in your own query editor.
Focus on: Stablecoin net flow, DEX trading volume concentration, and the top 10 contracts with the highest fees — these data points help you distinguish between real organic usage and wash trading activity.
Completion criteria: You can find or build a custom dashboard on Dune to answer: Over the past 7 days, what are the top 3 protocols by trading volume on this chain, and is the net flow of stablecoins positive or negative.
Prerequisite: Register a Dune account (the free tier is sufficient for basic usage). If you do not know how to write SQL, you can rely on public dashboards first, or use the MCP Server to run queries with natural language prompts.
Common pitfalls to avoid: Different dashboards may use inconsistent data sources or time ranges. Before using a dashboard, confirm its last update time and verify that the underlying data tables it references are complete.
3. Use CoinGecko Onchain API to Track Token-level Micro Data
What it does: When on-chain activity of a specific token on a target chain suddenly spikes, use CoinGecko's Onchain API to track its holder distribution, liquidity pool depth and trading activity.
How to use it:
CoinGecko's Onchain API covers more than 200 networks, and supports token-level detailed analysis with the following endpoints:
/onchain/networks/{network}/tokens/{address}/top_holders: View the top 100 token holders and their share of total supply, to judge chip concentration.
/onchain/networks/{network}/tokens/{address}/holders_chart: Track historical changes in the number of token holders, to identify user adoption trends.
/onchain/networks/{network}/pools/megafilter: Filter liquidity pools by trading volume, liquidity, pool age and other conditions to spot early emerging hotspots.
Completion criteria: You can answer: What is the highest-volume liquidity pool on the chain right now, what is its TVL and 24h trading volume, and what percentage of total supply is held by the top 10 addresses.
Prerequisite: Register for a CoinGecko API key (the free tier has usage limits, the Pro tier is suitable for high-frequency access).
Common pitfalls to avoid: API returned data includes a large number of "inactive" addresses (such as contract addresses, dead wallets). When analyzing token concentration, filter out addresses that are clearly smart contracts or cross-chain bridges first.
4. Use Artemis to Track Cross-chain Capital Flow
What it does: Cross-chain capital flow data is direct evidence to judge which chain capital is flowing into and which chain capital is exiting. Artemis provides dedicated cross-chain bridge inflow/outflow data, covering 11 bridges and more than 25 chains.
How to use it:
Core data tables provided by Artemis include:
ez_metrics_by_chain: Statistics of inflow, outflow and net_flow for each individual chain.
bridge_dau, bridge_txns, bridge_volume: Daily active users, transaction count and total transaction amount of cross-chain bridge activities.
Operation suggestions:
Query the net_flow (inflow minus outflow) of the target chain over the past 7 days.
If a chain has positive net_flow for 7 consecutive days, it means capital is flowing in continuously; if it has negative net_flow for 7 consecutive days, it means capital is exiting the ecosystem.
Compare the net_flow of multiple chains to identify the direction of capital rotation.
Completion criteria: You can answer: Over the past 7 days, which of the 5 chains has the highest cross-chain net inflow, and which has the lowest.
Prerequisite: Access to the Artemis dashboard or API. Artemis is an institutional-grade data provider, some features require a paid subscription.
Common pitfalls to avoid: Do not only look at inflow numbers while ignoring outflow. A single day of positive net inflow may come from a one-off large transfer, only 7 consecutive days of data has reliable reference value.
5. Use Phalcon Explorer for Deep Transaction Verification
What it does:
When you detect an abnormal large transaction (such as a cross-chain transfer or liquidation over $1 million) from cross-chain data or token analysis, use Phalcon Explorer to conduct transaction-by-transaction tracking and call flow analysis.
How to use it:
Phalcon Explorer is a professional transaction analysis tool launched by BlockSec, supporting 26 EVM chains and Solana, with three core modules: call tree view, debugger and simulator.
Key Features:
Call Flow: Display all internal function calls of a transaction in a tree view, you can expand it with one click to view parameters, return values and gas consumption.
Simulator: Simulate transaction results without executing live on-chain transactions, which is ideal for strategy validation.
Fuzzy Search: Support searching with partial transaction hash or keywords, to quickly locate the target transaction.
Completion criteria: You can use Phalcon to trace a complex cross-chain transaction, clearly identify which address initiated it, which contract calls it went through, and where the funds finally flowed to.
Prerequisite: Access to the Phalcon Explorer web interface (free to use). Basic understanding of EVM transaction structure is recommended.
Common pitfalls to avoid: The Phalcon debugger has a certain learning curve for non-developers. If you only need to track fund flow, the call flow view is fully sufficient, you do not need to dive into the debugger layer.
Next Steps:
Spend 20 minutes today using Nansen Chain God Mode to select 5 public chains, compare their active address and fee changes over the past 7 days. Record the results, then go to Dune to find the corresponding public dashboards for the top 2 chains, and confirm the direction of their stablecoin net flow. Once you finish this workflow, you can quickly lock in the 1-2 chains with the most active capital at the moment, instead of spreading your effort evenly across all 5 chains.
