Description
KYVE Network is a decentralized data lake designed to standardize, validate, and permanently store data streams. Operating within the blockchain ecosystem, it ensures consistent access to historical data from various blockchains and web2 sources, mitigating risks of data manipulation. The network features decentralized validators incentivized by KYVE cryptocurrency, ensuring data accuracy and integrity. Built using Cosmos SDK and leveraging Arweave for storage, it offers scalability and interoperability crucial for web3 data management. Launched in 2023, KYVE runs on the Osmosis platform and aims to function as a DAO with backing from prominent investors and projects such as Solana and NEAR. With a token supply of 1.1 billion, KYVE supports operations through its staking system, facilitating validator incentives. Trading occurs across 13 markets with prices between $0.02 and $0.038. KYVE Network's robust infrastructure supports transparency and efficiency, catering to developers and data scientists in securing historical data access.
KYVE Network is a decentralized data lake designed to standardize, validate, and permanently store data streams. Operating within the blockchain ecosystem, it ensures consistent access to historical data from various blockchains and web2 sources, mitigating risks of data manipulation. The network features decentralized validators incentivized by KYVE cryptocurrency, ensuring data accuracy and integrity. Built using Cosmos SDK and leveraging Arweave for storage, it offers scalability and interoperability crucial for web3 data management. Launched in 2023, KYVE runs on the Osmosis platform and aims to function as a DAO with backing from prominent investors and projects such as Solana and NEAR. With a token supply of 1.1 billion, KYVE supports operations through its staking system, facilitating validator incentives. Trading occurs across 13 markets with prices between $0.02 and $0.038. KYVE Network's robust infrastructure supports transparency and efficiency, catering to developers and data scientists in securing historical data access.
