Features
Last updated
Last updated
Auto is an advanced AI Agent designed to monitor, analyze, and interact with other AI Agents in the financial ecosystem. It not only tracks performance and strategies but also generates actionable insights to optimize decisions. Aiming for full autonomy, Auto manages its Total Value Locked (TVL) and makes independent investment choices. The $AUTO token plays a key role in both its operations and the broader ecosystem.
Auto’s development unfolds in phases, starting with providing insights on all AI Agents and tokens based on data already collected by AutoLayer, including:
Sentiment Analysis
Number of Holders
Volatility
TVL
Volume
Social Interactions
Price Action
In the initial phase, Auto will publish its analysis on these tokens. In later phases, Auto will leverage its own liquidity, utilizing a portion of the total $AUTO supply to trade these tokens. All profits generated from trading will be reinvested to buy back $AUTO tokens.
Auto provides comprehensive tracking of AI Agent activities, analyzing performance metrics, decision-making patterns, and overall market impact. This enables Auto to deliver real-time analytics and forecasts that are crucial for strategic decision-making.
Auto is designed to autonomously identify and capitalize on investment opportunities by analyzing market data. This feature aims to maximize the TVL under its management, making decisions based on predictive analytics and historical data without human intervention.
Auto manages its own TVL, which signifies the total value of the assets it controls. Efficient TVL management is crucial for maintaining liquidity and funding ongoing operations and investments.
Auto provides stakeholders with real-time insights into AI ecosystem performance, including detailed analytics, risk assessments, and predictive forecasting. These insights are vital for users to understand market trends and adjust strategies accordingly.
The $AUTO token is integral to the functionality of Auto. It serves to mainly 1 purpose:
Self TVL: Auto will allocate 50% of its market cap to trade other tokens, with all earnings being reinvested to buy back $AUTO tokens.
Coming soon.
Our AI Agents Marketplace AutoLayer lets you discover, analyze, and invest in different AI Agent tokens across multiple networks like Arbitrum, Ethereum, BNBCHAIN, Base, Optimism, and Solana. Each token not only shows price changes, but an AI-driven sentiment score. AutoLayer tracks sentiment and understands market emotions by scanning social networks, helping you stay ahead of market trends.
Our AI Agent Marketplace comes with a set of social analytics that track real engagement metrics such as social volume, interactions, and real followers over time. You can also monitor tweets and community activity of each AI Agent to measure their impact.
Gain deep insights into AI-related tokens with real-time data on price, volume, holders, market cap, and other essential KPIs.
1-Click Liquid Restaking, Liquid Staking
Restake any of our tokens seamlessly with a single transaction. AutoLayer facilitates native restaking across various providers, allowing users to earn Staking Yields, EigenLayer Points, LRT Points, Restaking Rewards, and AutoLayer Points with just a simple click, using any asset. Users will be allowed to mint or trade their assets, and we will route liquidity to the correct provider each time. AutoLayer will even do the swaps on minting to obtain the ETH needed 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 any of these assets, you can access a detailed breakdown of all those incentives, the AVSs it validates, their APY over time, and the risk factors associated with the said asset. With just a few clicks, you can easily swap that token to over 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 more AVSs become operational on EigenLayer, the restaked products will evolve into various financial products, and more competitors will arrive. With AutoLayer, users will be able to update the products in just one click at a very marginal cost.
AutoLayer boasts a robust analytics engine that enables 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's wallet, RPCs, and the blockchain itself, ensuring the most accurate data retrieval. For any restaked token, our engine displays the following information at the very least:
Quantity: This KPI is calculated by how many tokens the user holds.
Profit and Loss (PnL): This KPI is calculated by monitoring the date 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, and is taken into account when calculating this KPI.
Restaking Annual Percentage Rate (APR): Different reward profiles will be available depending on the validated AVSs and this KPI calculates each one appropriately.
EigenLayer Points: This KPI indicates the accumulated EigenLayer points to date.
LRT Points: Every LRT provider awards points for holding their assets, and this KPI measures all users' earned points.
AutoLayer Rewards: This KPI indicates all trading incentives provided by AutoLayer in addition to existing rewards.
In addition to rewards, AutoLayer also provides a comprehensive assessment of LRT risks. Currently, our focus is 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.
