Data Indexers


Data Indexers

Overview

Welcome to the Analytics page, a comprehensive hub dedicated to interacting with data services, analytic tooling on zkSync Era. Each guide includes hands-on examples, ensuring that both newcomers and experienced developers can seamlessly harness the power of the analytical tooling within the zkSync Era.

Covalent

Covalentopen in new window provides the industry-leading Unified API bringing visibility to billions of Web3 data points. Developers use Covalent to build exciting multi-chain applications like crypto wallets, NFT galleries, and investor dashboard tools utilizing data.

DipDup

DipDupopen in new window is a Python framework for building smart contract indexers. It helps developers focus on business logic instead of writing a boilerplate to store and serve data. DipDup-based indexers are selective, which means only required data is requested. This approach allows to achieve faster indexing times and decreased load on underlying APIs.

Flair

Flairopen in new window offers reusable indexing primitives (such as fault-tolerant RPC ingestors, custom processors, re-org aware database integrations) to make it easy to receive, transform, store and access your on-chain data.

Graph Network

The Graphopen in new window is a decentralized protocol for indexing and querying blockchain data. The Graph makes it possible to query data that is difficult to query directly. Use The Graph network today to index protocol data on zkSync!

Space & Time

Space and Timeopen in new window is the verifiable compute layer that scales zero-knowledge proofs on a decentralized data warehouse to deliver trustless data processing to smart contracts, LLMs, and enterprises. Space and Time joins indexed blockchain data from major chains with offchain datasets.

SubQuery Network

SubQueryopen in new window is a fast, flexible, and reliable open-source data indexer that provides you with custom APIs for your web3 project across all of our supported chains.

Usage guides

Contribute

The world of decentralized analytics is expansive, and there's always room for fresh perspectives. If you have carved your path through the data forest and gleaned invaluable insights or have fresh tutorials to share, we wholeheartedly welcome your contributions. Enlighten the community with your analytical prowess.