Why Eclipse AI?
Last updated
Last updated
Cryptocurrency needs a fiat-backed stablecoin that is fully on-chain, supported by an infrastructure that ensures enhanced neutrality, transparency, and security.
Eclipse AI introduces a model that aims to rebuild Tether fully on-chain. In this system, the issuer is controlled by the holders of the Eclipse AI governance token. This includes decision-making over risk policies, the nature of the collateral, and liquidity incentive strategies.
Fiat-backed stablecoins are partly collateralized . This exposes them to the fractional reserve practices of these banks, compromising the security and stability of the stablecoin. The highlighted the systemic risks commercial banks pose to DeFi due to their under-collateralization.
Tether and Circle generated over $10B in revenue in 2023, with valuations exceeding $200B. Yet, none of this wealth is shared with the users who contribute to their success. Eclipse AI is designed to provide an alternative to fiat-backed stablecoins that privatize profits from customer deposits while socializing losses. Centralized actors behind major fiat-backed stablecoins replicate the problematic structures of traditional banking, which contradict the principles of decentralized finance.
Eclipse AI's approach aims to create a fairer financial system by redistributing value and power more equitably among all users.
Eclipse AI's goal is to empower users to become owners of the infrastructure, treasury, and governance of the protocol. By redistributing 100% of the value and control through its governance token, Eclipse AI ensures that its community holds the reins.
The Eclipse AI protocol allocates its governance token to users and third parties who contribute value, realigning financial incentives and returning power to the participants within the ecosystem.
Unlike traditional stablecoins like Tether, which retain all revenues for their shareholders, or yield-bearing stablecoins that redistribute only yields to users through permissioned mechanisms, Eclipse AI takes a transformative approach giving both yield and growth exposure to the user.
Eclipse AI aggregates the yield generated by the collateral backing its stablecoin into the protocol’s treasury. Rather than redistributing this yield directly as cash flow, the value is retained within the protocol, enhancing the intrinsic worth of the governance token ($ECAI ). This token grants users both ownership and decision-making power over the protocol, its treasury, and future revenues, aligning incentives and fostering sustainable growth.
Ownership and Revenue Sharing:
Treasury Allocation: 100% of the protocol’s revenues flow into the treasury, and 90% of the ownership of these revenues is distributed to the community via governance tokens.
Actual Cash Flow: Reflecting real-time protocol revenues in the treasury.
Future Cash Flow: Based on potential growth in Total Value Locked (TVL) and protocol revenues.
Governance Rights:
Holders of $ECAI can influence key decisions such as revenue redistribution, collateral management, and risk policies.
Utility Rights:
$ECAI tokens unlock staking opportunities, validator token mechanisms, and “bribing” strategies akin to the Curve War, enabling users to redirect liquidity incentives and enhance token utility.
This model not only redistributes revenue but also ownership, creating powerful incentives for early adopters. By aligning interests among participants through transparent, public token distribution, Eclipse AI establishes a robust foundation for sustainable growth and decentralized governance. It is a protocol designed to reward community engagement, giving users a meaningful stake in its present and future success.
The primary imperative of a stablecoin is to ensure that its value remains stable relative to the currency it represents. Users must have unwavering confidence that their capital is secure. Eclipse AI offers a collateralization model that is not tied to the traditional banking system but directly to very short-term bonds. The security provided by this prudent approach is reinforced by a strict and an .