Covalent Achieves 100 Billion Transactions Semantically Decoded to Ensure Artificial Intelligence Integrity with Verifiable LongTerm Data Availability

Covalent Surpasses 100 Billion Transactions, Verifying Data for AI Integrity


In the emerging intersection of AI and blockchain, conversations often revolve around decentralized training and inference. Yet, one crucial aspect of this data frequently remains unaddressed. The key question at hand is: how can we safeguard against biases and manipulated data in AI models? Covalent Network tackles this challenge by offering the largest pool of structured, verifiable data to ensure the training of AI systems on reliable, trustworthy information. By delivering clean, trustworthy data, Covalent Network ensures that AI systems can make accurate and unbiased decisions, thereby fostering the development of robust applications.
Covalent Network’s unique decentralized data pipeline structures and cryptographically secures every historical blockchain data point across over 225 blockchains. With over 100 billion transactions semantically decoded and classified, Covalent Network ensures meticulous accuracy in its data management. This comprehensive approach has enriched 300 million wallets to date, positioning Covalent as the reliable solution for all Web3 data requirements.
The Significance of Decentralized Data in AI
In contrast to traditional databases, blockchains function more as temporary billboards, displaying information before it is permanently deleted. For example, Ethereum blob data is deleted after two weeks, and similar practices are observed with projects such as Eigenlayer and Celestia. This presents a significant challenge: how can verifiable data be secured and protected for the long term, ensuring its accessibility? Covalent Network’s Ethereum Wayback Machine provides a solution by preserving historical Ethereum data and securing it against deletion, thereby maintaining the integrity and security of the blockchain.
Empowering Various Applications with Reliable Data
As the leading modular data infrastructure layer dedicated to addressing Long-Term Data Availability and verifiability in AI, the Ethereum Wayback Machine reads data from blockchain nodes, 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’s 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 started supplying data for various AI scenarios, launching verifiable, structured data specifically tailored for AI applications.
Enhancing AI Training and Inference
Covalent’s largest pool of structured, verifiable data enhances decentralized training and inference, reducing the likelihood of manipulated, biased AI models. For instance, 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 proliferation 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 co-founder Ganesh Swami highlights the importance of reliable data for training AI models, emphasizing 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 dedicated to addressing major challenges in blockchain and AI. Covalent’s largest pool of structured, verifiable data enhances 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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