Blockchain Transaction Data Service Platform ChainInfo Launches Ethsta.com
ChainInfo, a blockchain transaction-focused data service platform, has officially launched a new product Ethsta.com, providing data services for ETH2.0 staking.
The following features are now available:
- Displaying the overview of ETH2.0 staking;
- Mining and grouping the staking address data;
- Presenting the pie chart of address data labeled by different entities;
- Generating downloadable tables from mined address data;
- Submitted open-source code on ethresear.ch (https://ethresear.ch/t/open-source-data-analytics-of-ethereum-staking-pools/12348).
For the uninitiated, ChainInfo is a blockchain transaction-focused data service platform. By mining, tracking, and analyzing the on-chain data, it provides users with various data services, including large-amount transaction monitoring and exchange asset analysis.
Over the past few years, ChainInfo has discovered helpful information about different participants involved in cryptocurrency transactions through data mining. The existing database has collected and tagged more than 200 million addresses belonging to other individuals, exchanges, and institutes, covering more than 20 head exchanges worldwide.
The team is also constantly updating the self-developed code to identify transactions involving tagged addresses instantly. In addition, ChainInfo also built a large-amount transfer monitoring system based on the address database to track the on-chain large-amount transactions and analyze capital trends. As the blockchain infrastructure, ChainInfo has always been committed to developing multi-chain services and improving data reliability. Through substantial industry experience and expertise, the team is competent to provide users with more transparent blockchain data mining results for free.
Previously, ChainInfo had launched a blockchain transaction tracking visualization product – Biteye, and a Bitcoin Address Ownership Tracking tool – Dragnet, which provided more accurate and valuable on-chain data for many users.
