KYA: Know Your AVS

This project is a Chrome extension designed to help DeFi users make informed decisions while restaking on Eigenlayer. It addresses the critical gap in security information by offering detailed risk assessments for (AVS) and operators. Users can now access comprehensive security metrics beyond Total Value Locked (TVL) and get clear guidelines on which AVS to use, ensuring they select the safest and most profitable options. The extension continuously monitors and updates risk assessments, providing real-time alerts and fostering a more secure and reliable restaking environment.

Restaking on Eigenlayer is fundamental to DeFi, with a Total Value Locked (TVL) of $15.364 billion, making it the third-largest in DeFi, just after Aave and Lido. The substantial financial stakes make it crucial for users to have comprehensive data to minimize risks and maximize returns.

Our extension addresses this gap by providing detailed risk assessments for AVS and operators. We do real-time monitoring variety of on-chain and off-chain data that we organized in security risk parameters to score the risk of AVS and Operators, including smart contracts security, access control, economic models, team transparency, slashing conditions, TVL, decentralization, and restaking modalities. Each criterion is meticulously evaluated to give users a clear understanding of potential risks they face while delegating their tokens.

Criteria for AVS Risk Assessment: Smart Contracts: Verification, audits, bug bounties, and developer activity. Access Control/Centralization: Admin rights distribution and multisig configurations. Economic Model: The risk of each model is influenced by its reliance on the AVS's native token and the complexities of its fee and security structures. Opt-out process: Complexity and penalties associated with the opt-out process. Team: Transparency, experience, and partnerships. Slashing Conditions: Clarity and implementation of slashing penalties. TVL: Ratio of restaked ETH to TVL. Decentralization: Degree of control distribution. Restaking Modality: Complexity and market risk exposure.

And many more.

For Operators, we created a risk score by combining quantitative and qualitative data that we retrieve on-chain with our subgraph and off-chain. This includes: Performance Score: On-chain records, historical performance, total value restaked, and staker concentration. Reputation Score: Operational longevity, company profile, founder backgrounds, investor backing, and social media presence.

We have introduced real-time data visualization for several key performance metrics to enhance the experience for AVS and Operators. The following charts will be available:

For AVS:

1. Risk Radar Chart: This chart provides a comprehensive risk rating for each category, based on identified risks. Ratings are categorized as Excellent, Good, Ok, and Poor.
2. AVS Performance Charts:
   • Number of Restakers: Visualize the count of restakers over time.
   • Operator Count: Track the number of operators managing the AVS.
   • Economic Security Over Time: Monitor the economic security of the AVS over time.

For Operators:

1. AVS Secured Over Time: This chart displays the number of AVS an Operator is securing, showing trends and changes over time.
2. Staking Performance Charts: Analyze staking performance by tracking staker activity over time.

Our extension continuously monitors and updates these assessments, and we will implement in the near future, real-time alerts to keep users informed of any significant changes in the risk profile of their chosen AVS or Operator they delegated their tokens to.

This project was built using a combination of modern web technologies and blockchain integration tools. The Chrome extension was developed using TypeScript, Next.js, and React, ensuring a seamless and user-friendly interface. We used Webpack for module bundling and Prisma for database management.

For the backend, we utilized serverless AWS Lambda functions to handle data retrieval and processing, ensuring scalability and efficiency. Instead of relying on Eigenlayer's API, we used TheGraph to fetch real-time data directly from the blockchain. This approach allows us to access on-chain data efficiently and accurately.

Our proprietary algorithms analyze security metrics and assess risks by considering multiple parameters beyond TVL, such as historical performance, operator reliability, and potential vulnerabilities.