Gnosis Integrates Covalent’s (CQT) API for AI and Future-forward dApps

Covalent (CQT), recognized as a leading multichain indexer with 225+ chains, is entering an exciting integration with Gnosis Chain, a prominent Ethereum Virtual Machine (EVM) blockchain. This marks a significant milestone as it introduces cutting-edge, real-time data indexing including Covalent’s Unified API and GoldRush Kit into the dynamic Gnosis ecosystem. In doing so, it is reshaping onchain data accessibility for Gnosis’ developers.

Gnosis Chain, operating as the associate execution-layer EVM chain for stable transactions, is centered on experimentation and the development of decentralized infrastructure within the Ethereum ecosystem. With an emphasis on decentralization and security, Gnosis operates as an open-sourced protocol, ensuring a secure and transparent ecosystem by adhering to the Ethereum Protocol. Gnosis provides critical infrastructure for a diverse range of decentralized applications (dApps) and develops products that transparently guide decisions regarding the development, support, and governance of its ecosystem.

David Tso, Growth & Customer Success Lead at Covalent

“Gnosis Chain is an EVM-compatible, community-owned blockchain that prioritizes credible neutrality and resiliency. With Covalent, Gnosis Chain developers can now build future-forward apps with the power of our Unified API and GoldRush Kit.”

The Covalent Unified API, a purpose-built tool designed for seamless access to real-time and historical onchain blockchain data, which also makes it useful as a key structured data supply tool for Artificial Intelligence (AI) in Web3. Serving as a gateway, it empowers Gnosis’ members with a diverse range of capabilities, including standardized human-readable transactions, swift data retrieval, and scalable infrastructure. Successfully enriching over 240 million active wallets utilizing its data, it is a reliable and unified solution for the data availability needs for Gnosis’ users.

The landscape of decentralized systems, relying on accurate and reliable data, finds a significant ally in Covalent’s Unified API. By securing a structured dataset from 225 blockchains and decoding over 100 billion transactions, Covalent contributes to the accuracy and reliability of the open-source ecosystem, playing a key role in powering models that drive innovation and enhance security in the Web3 realm, particularly with uses cases like AI and Machine Learning (ML) for Gnosis.

This integration positions Covalent as a catalyst for propelling Gnosis’ growth, offering a platform with the capability to fully leverage the wealth of structured and accurate blockchain data for a decentralized ecosystem. Together, Gnosis Chain and Covalent are primed to foster a more comprehensive interoperability and ensure sustained tool accessibility in the evolving landscape of Web3–building on the decentralized infrastructure for the Ethereum ecosystem.

About Covalent

Covalent (CQT) has created the largest data availability layer of Web3, enabling millions of users to build the new economy of products in AI, Big Data and DeFi. Its deep commitment to democratizing access to structured data is delivered through a singular Unified API for everyone. A core aspect of the DePIN ecosystem, Covalent serves developers, analysts, innovators & 1000’s of customers with comprehensive, real-time data access to +225 blockchains & growing. Learn how Covalent is building the long term data availability ‘Ethereum Wayback Machine’.

For more information, check out Covalent’s: Official Website | Twitter/X | Discord | Telegram | Blog | API Guides

About Gnosis Chain

Gnosis operates as a decentralized autonomous organization (DAO) which provides infrastructure for various types of decentralized applications (dApps), and builds products to transparently guide decisions on the development, support and governance of its ecosystem.

Check out Gnosis on Twitter/X and join their Discord

Disclaimer: The text above is an advertorial article that is not part of Cryptonews.com editorial content.