Gems

가격

(gem)
참고: 이 플랫폼은 해당 통화의 거래 서비스를 지원하지 않습니다.
$0.00007763 -4.0%

      전체 계좌

      gem 실시간 가격 데이터

      gem 가격정보

      24시간 최저/고가

      24시간 최저 $0.00007466
      24시간 최고 $0.0000809

      역대 최고가

      US$0.03146888

      역대 최저가

      US$0.00002379

      7일 동안 최고가

      US$0.00008274

      7일 동안 최저가

      US$0.00007415

      gem 시장정보

      시가총액 순위

      6618

      잠재적 요소평가

      US$621672

      총 공급량

      8,000,000,000

      최대 공급량

      시가총액 우위

      0%

      유통량/시가총액

      0.021

      에 대한 gem

      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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      가격 상승순위

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      가격 하락 순위

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