Features
Last updated
Last updated
1-Click Liquid Restaking and Liquid Staking
Restake from any token seamlessly in a single transaction. AutoLayer facilitates native restaking across various providers. This will allow users to earn ETH Staking Yields, EigenLayer Points, LRT Points, Restaking Rewards, and AutoLayer Points with just a simple click, starting with any asset. For every asset users will be allowed to mint or trade the asset, we will route the liquidity to the correct provider on each case, even on Minting AutoLayer will do the Swaps to obtain the ETH to initiate the staking/restaking proccess.
On AutoLayer, you can explore a diverse selection of various LRTs and LSTs, each with their associated incentives. Once you select an asset, you can access a detailed breakdown of all those incentives, the AVSes it validates, and its APR over time. With just a few clicks, you can seamlessly swap that token for more than 100 different assets while preserving all current and future incentives. At any moment, users have the flexibility to swap the LRT/LSTs for any other ERC-20 token.
As soon as more AVSs are alive on EigenLayer the restaked products will evolve into different financial products, and more competitors will come, with Autolayer user will be aable to update the products in just 1-click, at a marginal cost.
Inherited from Tortle Ninja, AutoLayer boasts a robust analytics engine, enabling it to calculate all incentives and key performance indicators (KPIs) generated by the user. All tokens reside in the user's wallet, making AutoLayer permissionless and non-custodial. Our engine extracts information from the user wallet, RPCs, and the blockchain itself, ensuring the most accurate data retrieval. For any restaked token, our engine displays at least the following information:
The quantity of tokens the user holds.
Your Profit and Loss (PnL): This KPI is calculated by monitoring when the user acquired the tokens and assessing their performance over time.
Staking Rewards: Each LRT has a slightly different staking reward associated with it.
Restaking Annual Percentage Rate (APR): Upon the official launch of EigenLayer AVSes, different reward profiles will be available, depending on the validated AVSes.
Your EigenLayer Points: This KPI indicates the accumulated EL points to date.
The LRT Points: Every LRT provider awards points for holding their assets, and in AutoLayer, users can manage the amount of points gathered.
AutoLayer Rewards: AutoLayer provides trading incentives in addition to existing rewards.
In addition to rewards, AutoLayer provides a comprehensive assessment of LRT risks. Currently, we focus on evaluating depeg risks by calculating, in real-time, the amount of LRT used as collateral in decentralized applications such as Aave, Gearbox, Morpho, and Prisma and confront it with the liquidity on DEXs, the contracts that will procced with the liquidation. This data allows us to analyze the potential for liquidation cascades, providing users with critical insights into their exposure to these risks. The larger the collateral relative to the available liquidity, the more susceptible the asset becomes to a significant depeg event.
LSTs and LRTs can be used in DeFi, and issuers can reward those who use them. In AutoLayer, users will be able to easily execute these strategies with just one click and no permissions needed. Users will also be able to evaluate their position over time and swap it for any asset they want by depositing their receipts again (LPs, NFT positions, etc.) on the interface.
AVSs might be the biggest question mark in today's crypto cycle as they will be the driving force behind yields during this time. How well or how poorly they behave will shape the future of the DeFi industry as we know it. This is why auditing AVSs will be important. For every AVS on AutoLayer, we will create a risk score based on two metrics:
Professional Operators TVL: This metric will gauge the involvement of institutional and professional Operators (such as P2P, Ankr, Nethermind, etc.) in an AVS by assessing the amount they have staked on it. This measurement generates a risk profile based on factual data from funds deposited by professionals, rather than subjective opinions.
Community TVL: This metric will quantify the level of support an AVS receives from retail investors, with insight into the amount of retail money backing it. This also contributes to the creation of a risk profile for the AVS.
Sudden changes to these risk scores can help our users stay informed.
