Datamine Adds Direct JSON Data Export for Token Analytics
💡 AI Article Summary
The Datamine Network has introduced a new quality-of-life update to its real-time analytics dashboard, making on-chain data extraction more accessible than ever. Users can now right-click directly on Addresses, Transactions, and Personal Address tables to instantly copy data as raw JSON.
This update simplifies how developers, analysts, and community members interact with Datamine analytics. By offering direct-to-clipboard JSON copying, you can seamlessly migrate real-time metrics into your custom applications, spreadsheets, or database tables without manual parsing.
Streamlined Developer and Analyst Workflow
With over five years of immutable on-chain history, the Datamine dashboard serves as the central hub for monitoring tokenomics across DAM, FLUX, ArbiFLUX, and LOCK. This feature minimizes friction for power users tracking validator addresses, transaction velocity, and overall ecosystem stability.
Whether you are analyzing DAM minting patterns, studying FLUX supply breakdown, or tracking Layer 2 transactional throughput, this update provides developer-grade data portability in a single click.
🔥Want more out of 
DAM & 
FLUX analytics? Now you can right click Addresses, Transactions and Personal Address tables to copy data to JSON!
Get more details and deeper analytics with the same real-time performance!
Export JSON to your app OR table🧠
https://t.co/EsnZs3DP0q https://t.co/zFrpBhx13l
Frequently Asked Questions
How do I export Datamine analytics data to JSON?
Simply right-click on any of the Addresses, Transactions, or Personal Address tables within the Datamine dashboard to instantly copy the raw data directly to your clipboard in JSON format.
Which tokens can I track with this new export tool?
The export feature works across the entire real-time dashboard, allowing you to copy on-chain metrics related to DAM, FLUX, ArbiFLUX, and LOCK.
What can I do with the copied JSON data?
The copied JSON data is highly versatile. You can paste it into external developer applications, use it to populate custom spreadsheets, or feed it into data analysis tools to track token dynamics.
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