Footprint Analytics

Posted on Dec 05, 2022Read on Mirror.xyz

Footprint Analytics X ZkSync : Establishing Strategic Partnerships

We are glad to announce the collaboration between zkSync and Footprint Analytics.

Learning more information and being familiar with trends is essential to making informed decisions in the ever-changing landscape of crypto. Footprint Analytics will index zkSync in the near future to support zkSync-integrated projects by offering data and analysis tools. Integrating with zkSync, Footprint will have a more comprehensive data system.

Footprint Analytics data solution to zkSync:

- Provide raw, full-time data of zkSync.

- Parse the protocols on zkSync.

- Provide abstract, normalised data and metrics. Create a “de facto standard” to simplify analysis across multiple protocols or chains.

- Provide a powerful analytics tool for zkSync users, analysts and developers to explore zkSync data at a deeper level.

zkSync is dedicated to making self-sovereign participation in the digital economy accessible for everyone in the world. We are excited to work with zkSync to bring the dream of blockchain accessibility to more people.

About zkSync

zkSync is a ZK rollup, a trustless protocol that uses cryptographic validity proofs to provide scalable and low-cost transactions on Ethereum. In zkSync, computation is performed off-chain and most data is stored off-chain as well. As all transactions are proven on the Ethereum mainchain, users enjoy the same security level as in Ethereum.

zkSync 2.0 is made to look and feel like Ethereum, but with lower fees. Just like on Ethereum, smart contracts are written in Solidity/Vyper and can be called using the same clients as the other EVM-compatible chains.

About Footprint Analytics

Footprint Analytics provides API and visualization tools to uncover and visualize data across the blockchain, including NFT and GameFi data. It currently collects, parses and cleans data from 20 chains into structured and semantic tables. It lets users build charts and dashboards without code, using a drag-and-drop interface as well as with SQL.

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