Covalent Passes 100 Billion In Transactions Semantically Decoded For Artificial Intelligence Integrity with Verifiable Long-Term Data Availability

In the burgeoning intersection of blockchain and AI, discussions often revolve around decentralized inference and decentralized training. However, the critical component of this data remains largely overlooked. One major question remains: how can we safeguard against biases and manipulate data in AI models? Covalent Network addresses this challenge with the largest reservoir of structured, verifiable data, ensuring AI systems are trained on reliable, trustworthy information. By providing clean, trustworthy data, Covalent Network ensures that AI systems can make accurate and unbiased decisions, fostering the development of robust applications.

Covalent Network’s unique, decentralized data pipeline structures and cryptographically secures every historical blockchain datapoint across over +225 blockchains. With over 100 billion transactions semantically decoded and classified, Covalent Network ensures meticulous accuracy in its data handling. This comprehensive approach has enriched 300 million wallets to date, positioning Covalent as the reliable solution for all Web3 data needs.

The Role of Decentralized Data in AI

Unlike traditional databases, blockchains function more like billboards, displaying information temporarily before it’s permanently deleted. For instance, Ethereum blob data is removed after two weeks, and similar practices are seen with projects such as Eigenlayer and Celestia. This presents a significant challenge: how is verifiable data secure and protected for the long term, ensuring it remains accessible? Covalent Network’s Ethereum Wayback Machine provides a solution, preserving historical Ethereum data and securing it against deletion, thus maintaining the integrity and security of the blockchain.

Powering Diverse Applications with Reliable Data

As the leading modular data infrastructure layer dedicated to solving Long-Term Data Availability and verifiability in AI, the Ethereum Wayback Machine reads data from blockchain nodes and processes and organizes this information into an efficient query database. This allows users to quickly retrieve necessary data without complex queries directly from blockchain nodes.

Covalent Network clientele includes a wide array of projects, from DeFi applications to traditional financial giants and other notable clients include 0x, Zerion, Rainbow Wallet, Consensys, and many others. The real-time, authentic, and decentralized nature of on-chain data positions the Ethereum Wayback Machine as a high-quality data source for AI training. Covalent Network has begun supplying data for various AI scenarios, launching verifiable, structured data specifically tailored for AI applications.

Enhancing AI Training and Inference

Covalent’s largest reservoir of structured, verifiable data augments decentralized training and inference, reducing the likelihood of manipulated, biased AI models. For example, Covalent provides data to:

• SmartWhales , an on-chain intelligent trading platform that uses AI to identify profitable trading patterns and addresses.
• Entendre Finance , which leverages the EWM’s structured data for real-time insights, anomaly detection, and predictive analysis.

These are just a few examples of how Covalent’s data is utilized. With the generalization of Web3 products and data types, the use cases for on-chain data services will continue to expand, opening new opportunities across various industries.

Covalent’s Vision for AI and Blockchain Integration

Covalent Network cofounder Ganesh Swami, highlights the importance of reliable data for training AI models. He emphasizes that AI requires clean, verifiable data for effective training. Without guaranteeing the authenticity of the input data, even the most powerful training systems will produce flawed conclusions. Blockchain’s secure and verified data presents an ideal solution for this challenge.

Covalent Network’s commitment to providing structured, verifiable data extends beyond immediate applications. Their long-term vision includes supporting AI’s evolution by ensuring decentralized inference and training are grounded in reliable data. This approach mitigates the risks of biased and manipulated data, fostering the development of robust AI models.

About Covalent

Covalent is the leading modular data infrastructure layer that’s dedicated to solving major challenges in blockchain and AI. Covalent’s largest reservoir of structured, verifiable data augments decentralized training and inference, reducing the likelihood of manipulated or biased AI models. Additionally, Covalent’s Ethereum Wayback Machine ensures decentralized access to Ethereum’s transaction data, keeping it secure. Trusted by over 3,000 leading organizations, Covalent powers AI, DeFi, GameFi, and other use cases with unfettered access to on-chain data from over 225 blockchains and counting.

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