Convert Newton NEWT to CESS Network CESS

What Is Newton Protocol (NEWT)? Newton Protocol is the decentralized policy layer that makes onchain compliance verifiable, programmable, and automatic. Builders define how digital assets can move by setting rules that check every transaction for things like sanctions, identity, or risk before it goes through. By turning compliance into code, Newton Protocol replaces manual reviews with real-time, upgradeable enforcement. Financial institutions, stablecoin issuers, RWA platforms, and AI agents can now meet evolving regulatory requirements directly at the point of transaction without giving up transparency, privacy, or decentralization. Builder defined rules, called policies, use both onchain and offchain data to decide whether a transaction should be approved or blocked. A decentralized network of operators, secured through Ethereum restaking and NEWT, evaluates each policy inside Trusted Execution Environments (TEEs) and generates proofs to show the checks were done correctly. The results can be verified by anyone through the Newton Explorer. NEWT is the native utility token and is used for: *Fees for compliance compute. *Rewards for network operators and delegated staking. *Governance votes that shape the protocol. Who Are the Founders of Newton Protocol? Newton Protocol is the vision of Magic Labs and its co-founders Sean Li and Jaemin Jin. Magic Labs created the first embedded wallet in the crypto industry, helping 200K+ developers create 50M+ wallets to get onchain with trailblazing customers such as Polymarket, Forbes, Helium, WalletConnect, Mattel, and Naver. The Magic Newton Foundation is responsible for driving adoption, enabling open development and supporting decentralization of the Newton Protocol. Management of the Magic Newton Foundation is led by an independent board of directors. What Makes Newton Protocol Unique? Newton Protocol introduces compliance-as-code, a way to make rules verifiable and enforceable directly onchain. Just as smart contracts made execution programmable and oracles made data composable, Newton Protocol makes compliance itself part of the transaction process. Its policy layer, operator network, and oracle adapters work together to check every transaction against defined rules, producing cryptographic proofs that confirm those checks were done correctly. Builders can write and update policies in familiar languages like Rego, while decentralized operators evaluate them and verify results in real time. Because Newton Protocol is fully composable, any dapp, stablecoin, or AI wallet can integrate its policy client to enforce business or regulatory rules automatically, creating a neutral, decentralized compliance layer that connects institutions, regulators, and autonomous agents through verifiable trust.

CESS Network is a decentralized data value infrastructure built to offer secure, scalable, and privacy-focused decentralized solutions for Web3, DeFi, AI, and other data-driven applications. CESS aims to address the pain points of traditional centralized data systems, including data security risks, privacy concerns, and high costs. CESS is constructed as a Layer 1 network based on the DePIN (Decentralized Physical Infrastructure Network), realizing decentralization, efficiency, security, privacy, and scalability. CESS enables the free flow and exchange of data value while protecting user privacy and data sovereignty. With CESS, users can easily transform their data into valuable assets, realizing “one-click” data monetization. CESS ensures data security and privacy while enabling the flow and exchange of data value across different applications, unlocking data as an asset. This will bring a more equitable and open digital economy to various industries, ultimately enabling every user to benefit from their own data. By prioritizing data sovereignty, CESS supports AI model training, real-time data access, and privacy-enhanced AI agent operations. CESS empowers AI-driven innovation, fostering the development of decentralized AI solutions while ensuring compliance with data privacy regulations and scalability for the future of intelligent systems.