L.O.L.A

L.O.L.A. is a specialized tool for DeFi asset issuers. LOLA is designed to help asset issuers get the conversation started about getting their asset listed on a Lending Organizations Platform (e.g., Compound Finance). This assistant focuses on collateral asset listings which are common in lending DAOs.

Asset issuers pay 0.01 ETH to generate a Collateral Asset Listing Proposal. Proposals are signed by the server that generates the proposal so that other people can verify the proposals authenticity.

Core Features:

• Deep research on token assets and markets
• Produces comprehensive collateral asset listing proposals
• Initial parameter recommendations backed by data analysis
• Cryptographic verification via signed proposals

Data Sources:

• Historical governance forum proposals
• OpenZeppelin and industry standard checklists
• Gauntlet Risk Framework
• DEX liquidity metrics (slippage analysis, TVL)
• Token distribution and holder analysis

LOLA consists of a frontend and backend application. The frontend was created using Lovable.app and is a React, Vite application written in Typescript. The app uses Rainbowkit with Wagmi for web3 wallet connection. The backend was created using Crew AI and Python. For the data analysis we use Blockscount and Coingecko to get information to inform the analysis. The Gauntlet Framework is by Open AI's gpt-4o to generate the final "Collateral Asset Listing Proposal." A Flask application is used to make an endpoint for the Frontend to communicate with the Backend.