Gems
GEM
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強化你的加密安全
Gems 個錢包,完美呈現

Gems 錢包幫助你輕鬆儲存、發送與接收數位資產。你可以隨時進行跨鏈代幣交易,探索 NFT 市場與 dApp,發掘更多機會。作為 Gems 生態系的整合錢包,它為你提供安全的鏈上體驗。

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使用我們的應用程式,安全可靠地探索所有區塊鏈。
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重新定義的硬體錢包

為什麼選擇 Gems 錢包搭配 OneKey

  • why-choose-onekey
    掌握屬於你的安全防護

    不需實名驗證。我們不會收集或追蹤任何使用者資料,你的錢包只屬於你。

  • why-choose-onekey
    100% 開放原始碼且透明

    Gems 錢包是一個完全開源的錢包,每一行程式碼都能由安全專家進行審核與驗證。安全並非基於承諾,而是基於透明度。

  • why-choose-onekey
    智慧風險防護

    內建的 DApp 防釣魚保護與可疑代幣摺疊功能會自動偵測高風險合約,防止惡意授權或資產遭竊。

  • why-choose-onekey
    全球支援

    提供 24/7 多語言客戶支援,隨時解決你的問題

Gems 價格

常見問題

什麼是 Gems?

Gems is a protocol for contracting workers to perform micro tasks. Workers stake tokens in order to prove validity of their tasks and earn a reusable computed trust score, enhancing the cost-efficiency of the network while democratizing access to scalable micro task workers.

Gems, a decentralized, open-sourced, human task crowdsourcing protocol built on top of the Ethereum blockchain. Using the Gems Protocol, anyone can tap into the power of scalable micro task workers without needing to worry about task verification, trust, or payments. Gems is designed to disincentivize malicious actors and reward fair players. The Gems Protocol is comprised of a staking mechanism to ensure task completion, a trust mechanism to track worker integrity, and a payment system to reduce transaction fees. The GEM token, a multi-utility token, fuels the Gems Protocol. Gems uses its token mechanism to enforce the behavior of all participants, instead of being regulated by a single operator.

Gems Protocol, aptly named the Gems Platform. The Gems Platform connects those who want work done (henceforth known as “requesters”) and human workers (henceforth known as “miners”). By using the Gems Protocol, the Gems Platform removes socioeconomic barriers that exist in centralized alternatives (e.g. large fees, market inefficiencies, need for bank accountants, etc.). Anyone can build on top of the Gems Platform, creating “modules” that are interfaces for particular human tasks. The first module the Gems team will build focuses on labeling data for AI.

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