Band Protocol (BAND) is a blockchain-agnostic protocol that enables interoperability between the existing world wide web and smart contracts through oracles for decentralized applications (dapps). In addition to bridging traditional systems with decentralized ones, the project’s solutions also tackle the pain points of speed, scalability and data flexibility.
The project was founded in 2017 by Soravis Srinawakoon, Sorawit Suriyakarn and Paul Nattapatsiri, who respectively serve as the project’s CEO, CTO and CPO. The project’s whitepaper was published in Q3 2018, with a revision that followed in Q1 2019. Private and public testnet versions of the network were launched in Q2 and Q3 2019 respectively.
Currently in the second phase of development, the features under construction are custom data oracle scripts and a custom scripting language. Subsequent development tasks include wider blockchain compatibility, more payment options and smart contract interoperability with enterprise software.
Broadly described by the development team as a “decentralized oracle framework for Web 3.0”, the protocol is based on the Cosmos (ATOM) Network and has the capability to process thousands of transactions per second. The network utilizes two tokens to facilitate its features, the native token BAND and “dataset tokens.”
The BAND token acts as collateral against which dataset tokens are issued. Dataset tokens represent ownership in various datasets that are used in data feeds. These dataset tokens can be used for governance and staking.
The team has already developed two functional applications of note: the data governance portal and the non-custodial BAND wallet. The latter is self-explanatory, storing the tokens that users will use on the network. The data governance portal is where users can purchase dataset tokens and commit to actions like staking. Governance decisions include deciding the cost of data query, dataset configurations and the number of data providers.
Learn more about Band Protocol (BAND) here, including news, price predictions, opinions and analyses created by users.