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05/16/2025

Newton Protocol: Verifiable Automation on Web3 with TEE + ZK

In the Web3 world, challenges like fragmented ecosystems, low capital efficiency, and untrusted automation continue to hold back the growth of the on-chain economy. To address these issues, Newton Protocol was built with the goal of creating a verifiable automation layer, combining TEE (Trusted Execution Environment) and ZK (Zero-Knowledge Proofs) technology. What is Newton and who built it? Newton Protocol is infrastructure developed by Magic and the Magic Newton Foundation to bri

Newton Protocol: Verifiable Automation on Web3 with TEE + ZK

In the Web3 world, challenges like fragmented ecosystems, low capital efficiency, and untrusted automation continue to hold back the growth of the on-chain economy. To address these issues, Newton Protocol was built with the goal of creating a verifiable automation layer, combining TEE (Trusted Execution Environment) and ZK (Zero-Knowledge Proofs) technology.

What is Newton and who built it?

Newton Protocol is infrastructure developed by Magic and the Magic Newton Foundation to bring to Web3 a mechanism that allows agents to execute on-chain actions in strict accordance with rules set by the user, while guaranteeing transparency and verifiability through ZK and TEE.

Magic Labs, the company behind Newton, was founded in May 2018 by two engineers from the University of Waterloo:

  • Sean Li – CEO, co-founder of Kitematic (acquired by Docker)
  • Jaemin Jin – CPO, formerly at Uber and the Apple Siri team

Magic is a recognized leader in passwordless embedded wallets, having integrated over 50 million wallets and serving projects such as Polymarket, WalletConnect, Helium, and Immutable. The company has raised a total of approximately $90 million from major funds and investors including PayPal Ventures, Northzone, Tiger Global, Naval Ravikant, and Alexis Ohanian.

How Newton Works: Verifiable Automation

Newton operates through four participant groups: users, developers, operators, and validators, along with three core technical components:

🔹 1. Smart Account

Compliant with the ERC-4337 and EIP-7702 standards, this allows users to safely delegate actions via session keys without ever surrendering their private key.

🔹 2. zkPermissions

A ZK-based permissions system that enables complex rule configurations such as:

  • Execute trades only when on-chain data is favorable
  • Define golden cross strategies, slippage limits, and liquidity conditions
  • Only trade after CPI data is published and inflation is < 2%
  • Risk checks on frequency, timing, and trade volume

🔹 3. Execution Coordinator

The bridge connecting users to operators — essentially a "decentralized automation marketplace." All actions are verified by TEE and ZK to ensure validity.

Newton's Value: Infrastructure for AI Agents and DeFi

Newton turns automated workflows into verifiable on-chain primitives, paving the way for a powerful convergence of AI Agents and DeFi. Agents can learn, trade, or make decisions on a user's behalf while remaining constrained within a predefined security framework — maximizing efficiency without compromising asset safety.

How to Interact with and Participate in Newton

Users can currently interact with Newton through the following activities:

  1. Earn reward points at the Portal:
    Visit magicnewton.com/portal/rewards and participate in games such as:
    • Dice rolling
    • Minesweeper
    • Social media side quests
  2. Try the Newton App:
    Go to newton.xyz/app to explore the agent interface and complete tasks. Note: Currently only deposits are supported — withdrawals are not yet available. Do not deposit significant funds.
  3. Post quality content on Twitter:
    The Newton Foundation will distribute 0.75% of the token supply to the Kaito community:
    • 0.5% for quality posts and referrals
    • 0.25% distributed to the Kaito community based on contribution milestones

Conclusion

Newton Protocol represents a meaningful step forward in the effort to realize a programmable economy. The combination of TEE and ZK not only solves the trust and transparency problem but also lays the groundwork for AI agents to operate efficiently and securely in a decentralized world.