NetShare AI
NSA is the native token of the ETH Network.
Token Usage
NSA enables holders to engage with the NSA network as follows:
Power Transactions: NSA will be used to power web scraping transactions, dataset purchases and LCR usage.
Staking and Rewards: Stake NSA to Routers to facilitate web traffic flowing through the network and earn rewards for contributing to the security of the network.
Network Governance: Participate in the development of the NSA network, including proposing and voting on network improvements, aligning on which organizations to work with, and determining incentive mechanisms for all stakeholders.
Network Fees
Within the NSA Ecosystem, all stakeholders are ultimately compensated in NSA . The NSA Foundation provides purchasers, whether consuming bandwidth, datasets or utilizing LCR, the flexibility to pay in USD, USDC, or other supported network tokens. Revenues generated by the network will be converted into GRASS. Those revenues will then be used to compensate stakeholders who facilitate access to network resources on a pro-rata basis.
Network Security
NSA is staked to routers to ensure routers are in compliance with network protocols. Routers are required to correctly facilitate bandwidth traffic and accurately report resources consumed with each transaction. Slashing is currently triggered manually; as the network undergoes development and becomes fully decentralized, slashing is expected to occur autonomously.
Why a Distributed System is Necessary
There are three equally important reasons for which NSA needs to operate on a blockchain.
Transactional Efficiency: Global settlement in over 190 countries is both easier and better on-chain than it is off-chain.
Transparency: Proofs of each transaction being posted on-chain provides empirical evidence that rewards are being equitably distributed. It also provides transparency with respect to the verification of data provenance.
User Ownership: Users should own their contributions to the internet, otherwise they will continue to be exploited by large tech companies.
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