ERAY SOGA

*Newton 協議
Newton 協議是用於 AI 代理自動化的基於意圖的 L1。用戶聲明意圖，代理在 TEEs 中執行跨鏈操作，並使用 ZK 證明在鏈上驗證結果。它通過 dPoS、質押和可編程合規服務於 DeFi、RWA 和機器人。最大供應量：
10億 NEWT
Newton 協議主網 -
Newton 主網是用於可驗證代理自動化的 dPoS L1 + rollup。用戶簽署意圖，AI 代理在 TEEs 中鏈下執行，ZK 證明在鏈上結算。它提供亞秒級終局、低費用、跨鏈執行以及可編程合規。由質押來保障驗證者安全

*Newton Protocol 主網
1. NEWT的總供應量
- 最大供應量 / 總供應量：1.00B NEWT
- 流通供應量：約215M – 288.46M NEWT，約佔總量的21.5%至29%
Newton Protocol 是一個模塊化的、基於意圖（intent）的區塊鏈，旨在通過 AI 代理自動化鏈上操作。你無需手動進行換幣、跨鏈橋接或質押，而是聲明一個“意圖”，由 Newton 的代理網絡在各條鏈上執行該意圖。
其主網已上線，旨在支持真實世界的代理（agent）運作，具備高吞吐、低費用和安全結算。主要特性：用於用戶體驗的意圖層、去中心化代理市場、可編程合規，以及跨鏈執行。$NEWT 代幣爲質押、Gas 和代理激勵提供動力。目標使用場景：DeFi 自動化、交易機器人，以及需要信任最小化、無需人工介入即可執行的AI原生應用。#newton

Newton Protocol Mainnet Beta: Automation with Trust
Newton Protocol’s Mainnet Beta is now live, and it’s connecting AI and onchain in a new way. The focus isn’t just on speed, it’s on trust and control.
The core idea is simple: every agent action is checked against predefined policies before it executes. That means you can give your agent clear rules like “only trade up to this amount” or “don’t take more risk than this limit,” and the agent will operate only within those bounds. Granting permission and revoking it instantly is also easy, so you don’t need repeated approvals.
With Mainnet Beta, developers are now testing VaultKit and the Model Registry in a real environment. This is the step that moves Newton from concept to practical use.
$NEWT is part of the system. It’s used to pay policy fees, staked to help secure the network, and used for governance voting. The supply is fixed, with most of it allocated to the community to keep the ecosystem sustainable long term.
If this model scales, AI agents and finance can work together without losing control. That’s why Newton Protocol and Mainnet Beta are some of the most talked-about topics right now.
Tagging $NEWT #Newt
@NewtonProtocol

Newton 協議及其主網 Beta：鏈上 AI 的授權層 ∼3000 字符
1. 什麼是 Newton 協議？
Newton 協議，由 Magic Labs 支持，是一個去中心化的基礎設施層，旨在爲鏈上金融帶來安全、自動化且可驗證的決策制定。
它解決的核心問題：在 Web3 中，智能合約對鏈下環境是“盲”的。它們無法原生驗證某個 AI 代理是否在正確地運作、交易策略是否突破了支出上限，或交易對手是否已被制裁。正是這一空白，使得全自動化的鏈上操作存在風險。

$newtoNewton Protocol hits Mainnet 🚀*Newton Protocol is live on Mainnet, moving from testnet to real execution.
What’s Newton?
A decentralized execution layer for AI agents + DeFi. Agents can verify, settle, and automate on-chain actions without middlemen, using cryptographic attestations + reputation.
Why Mainnet matters
1. Real assets - Agents operate with actual value, not test tokens
2. Composability- Plug into DeFi, DAOs, protocols live
3. Trust layer - On-chain proof for every agent action
Mainnet = Newton becomes infrastructures
#newton #Newt
$NEWT @NewtonProtocol $NEWT

Newton 協議上線主網 🚀
我們知道 Newton 協議已在主網上正式上線：從測試網過渡到真實世界的執行。
需要了解的重要信息有哪些？
用於 AI 代理 + DeFi 的去中心化執行層。它讓代理無需中間人即可使用加密證明與聲譽來驗證、結算並自動執行鏈上操作。
爲什麼主網很重要：或者同樣重要
下面給出一些關鍵重要性
1. 真實流動性與資產 - 代理現在可以使用實際價值運行，而不是測試代幣

Newton Protocol & Mainnet
Newton is a modular blockchain built for verifiable AI agents. It lets autonomous agents execute, settle, and prove actions on-chain without relying on centralized servers. The Newton Mainnet provides the execution layer: permissionless agent registration, composable modules for DeFi, gaming, and automation, plus cryptographic proofs for every agent action. It focuses on trustless automation, low-cost transactions, and interoperability so agents can coordinate, pay, and audit work across apps.#Newt $NEWT @NewtonProtocol

$NEWT #Newt #newton_xyz
這是面向 AI 智能體與支付的模塊化 Web3 鏈 *Newton Protocol*：
Newton Protocol：Newton Protocol 是用於 AI 智能體與支付的模塊化 Web3 基礎設施。它提供 SDK、鏈上智能體框架以及免手動 gas（免付 gas）的交易，讓開發者能夠構建自主型 dApps、DAO 和智能體經濟。重點：可擴展性、可組合性與無需信任的 AI。Newton 主網 它是一個用於 Web3 區塊鏈的模塊化主網，面向 AI 智能體與自治支付及服務。 它讓開發者能夠隨時部署由 AI 驅動的 dApps、鏈上的 AI 智能體，以及可丟棄的模塊，同時避免 gas 帶來的摩擦。

*Newton Protocol:
Newton Protocol is a decentralized infrastructure layer designed to bring “verifiable automation” to onchain finance. Its main focus is AI agents and smart accounts — software that can act on your behalf on blockchains without you having to sign every single transaction manually. The project was built by Magic Labs, the team behind embedded Web3 wallets that helped onboard more than 50 million wallets and support over 200,000 developers. Today, development and decentralization are guided by the Magic Newton Foundation, which was established in October 2024. The protocol raised roughly $87 million from backers including PayPal Ventures, DCG, and Polygon, giving it the resources to pursue an ambitious roadmap.
The core concept is intent-based automation. Instead of managing every swap, yield move, or governance vote yourself, you define high-level goals. For example: “rebalance my portfolio if volatility drops,” “compound rewards weekly,” or “only trade stable pairs.” Autonomous agents then execute those strategies. The key difference from typical bots is safety and accountability. Newton doesn’t ask you to hand over full control of your funds. Agents operate under strict, user-defined boundaries. #Newtonprotocol🤑
How it stays trustworthy: TEE + ZKP $NEWT
Newton’s technical foundation combines Trusted Execution Environments with Zero-Knowledge Proofs. A TEE is secure hardware that isolates and protects code while it runs, so the execution can’t be tampered with. A ZKP is a cryptographic proof that something was done correctly, without revealing the underlying data or proprietary logic. In practice, every agent action is executed inside a TEE and outputs a ZKP. That proof can be checked on-chain by anyone. The result is a system where AI-driven decisions are auditable and transparent, yet your private algorithms and personal data remain confidential.
User control with zkPermissions
To prevent agents from overstepping, Newton uses “zkPermissions.” These are granular, revocable rules encoded with zero-knowledge circuits. You can set conditions like spending limits, allowed asset types, timing windows, or market-based triggers. For instance, you might allow an agent to trade only when volatility is below a set threshold, or only during certain hours. This model is called “scoped autonomy.” It gives you the benefits of automation while minimizing the risk of misuse or exploits.
Architecture at a glance
Newton is organized around three main components. First, the Model Registry is an on-chain catalog where agent models and trigger-action contracts are published and referenced. Second, the Keystore rollup stores user permissions and policy data in a scalable way. Third, Automation Intents are the executable programs that fire when on-chain or off-chain conditions are met. This separation of intent definition, execution, and validation makes the system modular and easier to audit.
Economic security with NEWT
Security isn’t just technical — it’s also economic. Validators and agent operators must stake NEWT, the protocol’s native token. If they act maliciously or fail to perform, they can be slashed and lose part of their stake. NEWT has a fixed supply of 1 billion tokens. It’s used to pay for compute and gas, to secure the network through staking, and to participate in governance and protocol upgrades. Compared to general-purpose smart-contract platforms, Newton targets lower fees, Layer-2 performance, and native cross-chain automation, which matters when agents need to operate across multiple ecosystems.
Why it matters
$NEWT As AI agents become more capable, the risk of hallucinations, bugs, or unpredictable behavior grows. Traditional systems aren’t built for that. Newton’s verifiable automation layer is meant to fill that gap for finance and governance. You keep custody of your assets, agents handle complexity, and TEE plus ZKP guarantees make every step independently verifiable. The long-term vision is progressive decentralization: moving control to a DAO governed by NEWT holders as the network matures. @NewtonProtocol
In short, Newton Protocol tries to make onchain automation safe enough to trust. It pairs user-defined rules with cryptographic proof, so intelligent agents can manage capital, optimize rewards, and execute strategies without requiring constant human intervention.
Thanks 👍

@NewtonProtocol
*Newton Protocol:
*Newton Protocol* is a decentralized infrastructure layer designed to bring “verifiable automation” to onchain finance. Its main focus is AI agents and smart accounts — software that can act on your behalf on blockchains without you having to sign every single transaction manually. The project was built by Magic Labs, the team behind embedded Web3 wallets that helped onboard more than 50 million wallets and support over 200,000 developers. Today, development and decentralization are guided by the Magic Newton Foundation, which was established in October 2024. The protocol raised roughly $87 million from backers including PayPal Ventures, DCG, and Polygon, giving it the resources to pursue an ambitious roadmap.
*The core concept* is intent-based automation. Instead of managing every swap, yield move, or governance vote yourself, you define high-level goals. For example: “rebalance my portfolio if volatility drops,” “compound rewards weekly,” or “only trade stable pairs.” Autonomous agents then execute those strategies. The key difference from typical bots is safety and accountability. Newton doesn’t ask you to hand over full control of your funds. Agents operate under strict, user-defined boundaries.
*How it stays trustworthy: TEE + ZKP*
Newton’s technical foundation combines Trusted Execution Environments with Zero-Knowledge Proofs. A TEE is secure hardware that isolates and protects code while it runs, so the execution can’t be tampered with. A ZKP is a cryptographic proof that something was done correctly, without revealing the underlying data or proprietary logic. In practice, every agent action is executed inside a TEE and outputs a ZKP. That proof can be checked on-chain by anyone. The result is a system where AI-driven decisions are auditable and transparent, yet your private algorithms and personal data remain confidential.
*User control with zkPermissions*
To prevent agents from overstepping, Newton uses “zkPermissions.” These are granular, revocable rules encoded with zero-knowledge circuits. You can set conditions like spending limits, allowed asset types, timing windows, or market-based triggers. For instance, you might allow an agent to trade only when volatility is below a set threshold, or only during certain hours. This model is called “scoped autonomy.” It gives you the benefits of automation while minimizing the risk of misuse or exploits.
*Architecture at a glance*
Newton is organized around three main components. First, the Model Registry is an on-chain catalog where agent models and trigger-action contracts are published and referenced. Second, the Keystore rollup stores user permissions and policy data in a scalable way. Third, Automation Intents are the executable programs that fire when on-chain or off-chain conditions are met. This separation of intent definition, execution, and validation makes the system modular and easier to audit.
*Economic security with NEWT*
Security isn’t just technical — it’s also economic. Validators and agent operators must stake NEWT, the protocol’s native token. If they act maliciously or fail to perform, they can be slashed and lose part of their stake. NEWT has a fixed supply of 1 billion tokens. It’s used to pay for compute and gas, to secure the network through staking, and to participate in governance and protocol upgrades. Compared to general-purpose smart-contract platforms, Newton targets lower fees, Layer-2 performance, and native cross-chain automation, which matters when agents need to operate across multiple ecosystems.
*Why it matters*
As AI agents become more capable, the risk of hallucinations, bugs, or unpredictable behavior grows. Traditional systems aren’t built for that. Newton’s verifiable automation layer is meant to fill that gap for finance and governance. You keep custody of your assets, agents handle complexity, and TEE plus ZKP guarantees make every step independently verifiable. The long-term vision is progressive decentralization: moving control to a DAO governed by NEWT holders as the network matures.
@NewtonProtocol $NEWT
In short, Newton Protocol tries to make onchain automation safe enough to trust. It pairs user-defined rules with cryptographic proof, so intelligent agents can manage capital, optimize rewards, and execute strategies without requiring constan$t human intervention.

讓我們歡迎你的未來
今天我們將盯緊未來的 oken Newton。它不僅是代幣，更是我們的未來。
@NewtonProtocol 團隊日復一日努力工作，遇到任何問題都能非常迅速地解決。
根據我的經驗來看，它對我們非常友好
你可以通過儲蓄來獲得收益
你可以在現貨（Spot）上購買代幣來獲得收益
你可以爲未來而持有
爲什麼它對未來有幫助 @newt
因爲如果我們看到 #Newt tokonomic，那麼就能很明確地說：這是團隊把一切都安排得非常妥當的結果。
你可以獲得最高獎勵