The Newton Protocol is being developed as a foundational infrastructure layer for verifiable onchain automation. It is designed to support a wide range of decentralized financial use cases while upholding the core principles of composability, transparency, and neutrality.

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Historical Milestones

The Protocol has achieved several critical milestones since inception, including:

  • Publication of a technical litepaper (see, https://blog.newt.foundation/the-litepaper/)
  • Development of the v1 verifiable automation protocol
  • End-to-end integration of the first live agent onto the Protocol with verification automation
    • Verification of TEE- (Trusted Execution Environments) based agent compute—zero-knowledge proofs (ZKP) of TEE attestations are generated, and their integrity verified through protocol contracts
    • A Recurring Buy agent—developed by Magic Labs—allowing users to schedule recurring asset purchases through verifiable automation
  • Staking of NEWT tokens on the Protocol
  • Multiple community rewards initiatives
  • Launch of the Foundation and governance roadmap to support neutral stewardship of Protocol development and ecosystem growth

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Upcoming Milestones

Looking ahead, Newton Protocol will continue to evolve along several major fronts:

  • Verifiable Automation Marketplace
    Launching an onchain marketplace powered by the Newton Model Registry, making it simple for anyone to publish, discover, and compose agents or agent swarms (i.e., sophisticated orchestration of multiple agents). This unlocks a broad range of automation strategies and use cases, while fostering a vibrant, composable ecosystem of agents that end users can interact with directly.
  • Multichain Newton Keystore Rollup
    Launching a zkPermissions rollup that enables cost-efficient, multichain-compatible zero-knowledge permissions. Developers can define programmable guardrails like “only trade if volatility exceeds X” or “act only when RSI falls below Y,” with an SDK to simplify zkPermission integration into any agent.
  • Scalability
    Improving scalability through techniques like aggregated proof verification. These upgrades reduce costs and increase throughput, making high-frequency, verifiable automation economically viable at scale.
  • Decentralization
    Progressively decentralizing the Protocol by onboarding third-party validators to secure the Newton Keystore rollup. This enhances censorship resistance and ensures that verification remains credibly neutral and trustless over time.

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Dependencies and Conditions

Some roadmap milestones are contingent on factors external to the Foundation’s direction, including:

  • Maturation of TEE-based attestation as well as zk-based technologies (i.e., zkML, zkVM performance and cost optimizations), and hardware provider support for decentralization. These improvements will enable the verifiable automation protocol to verify more types of workloads while making the verifications more performant and cheaper.
  • Regulatory clarity around permissionless automation agents that interact with protocol funds or governance systems.
  • Security reviews and formal audits as a prerequisite for permissionless validator and agent onboarding.

The Foundation will continue to assess these dependencies as part of its ongoing support prioritization and risk management process.

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Long-Term Vision

The Foundation’s long-term vision is for the Newton Protocol to serve as the default coordination layer for onchain automation. Over the next five years, the Protocol is expected to power a growing ecosystem of verifiable agents that automate and secure a wide range of use cases—from structured DeFi strategies to DAO governance, treasury management, and other programmable onchain systems.

By embedding trustless automation directly into the base infrastructure of Web3, Newton Protocol aims to eliminate the operational fragility, liquidity fragmentation, and offchain dependencies that currently limit DeFi’s growth. The ultimate goal is to enable a more secure, programmable, and autonomous financial system—one where verifiability and programmable permissions enables users to trust intelligent agents that can safely manage capital, optimize rewards, and execute complex strategies, all without requiring human intervention.