Newton Protocol is a verifiable automation layer for the onchain economy, designed to simplify and secure user interactions with decentralised financial systems. Created by the team behind Magic, Newton enables intent-driven automation by combining trusted execution environments (TEEs) and zero-knowledge proofs (ZKPs) to ensure that user actions are executed within defined boundaries and with verifiable integrity.

The platform addresses the fragmentation of DeFi and the complexity of interacting with decentralised services. It introduces programmable agents that users can delegate tasks to, such as trading, yield farming, or risk management, all within a cryptographically enforced permission system known as zkPermissions.

Core architectural components include:

• Smart Accounts that support revocable delegation and granular control.
• zkPermissions that encode offchain automation rules into zero-knowledge circuits.
• Execution Orchestrator acting as a decentralised task marketplace between users and operators.

These components create a system where automation tasks are carried out offchain but enforced onchain with mathematical proofs, preserving decentralisation, security, and transparency.

NEWT is the native token used across the Newton Protocol ecosystem. It plays several roles in the protocol’s operations, including:

• Fee Payments: Users pay fees in NEWT to access agent-based services, such as automated trades or portfolio rebalancing.
• Incentives for Operators: Operators earn NEWT for fulfilling automation tasks correctly and verifiably.
• Staking and Reputation: Operators may stake NEWT as collateral, and their onchain reputation is built based on the successful and verifiable execution of user tasks.
• Governance (planned): NEWT may be used to participate in protocol governance, determining permission frameworks or marketplace rules.

The token helps coordinate the decentralised automation marketplace and ensures agents are aligned with user-defined logic by economically penalising dishonest execution.