DefiAgentBits

• An AI-driven DeFi investment strategy optimizer that bridges protocols, minimizes slippage, and maximizes returns using bitsCrunch data and cutting-edge analytics.

Description

DeFiAgentBits is an AI-powered platform designed to provide users with actionable insights and optimized investment strategies for token swaps, bridges, and arbitrage opportunities across DeFi protocols. By integrating real-time data from bitsCrunch APIs with Cohere AI, the platform ensures data-backed decisions for high-yield, low-risk investments.

Problem Statement

• Navigating the complex and fragmented landscape of decentralized finance poses significant challenges to investors
• high slippage, suboptimal token swaps, unpredictable fees during swaps and bridges
• lack of data-driven tools for strategizing across protocols
• These inefficiencies result in missed opportunities and increased risks for DeFi users

Solution

DeFiAgentBits addresses these challenges by combining AI and blockchain analytics to deliver a sophisticated investment optimization tool. Leveraging bitsCrunch's comprehensive DeFi data and Cohere AI's advanced natural language processing, the platform empowers users to:

• Identify high-return investment opportunities.
• Minimize slippage during token swaps.
• Execute cross-protocol arbitrage strategies seamlessly.
• Visualize protocol metrics through an intuitive dashboard.
• By automating strategic planning with AI, DeFiAgentBits simplifies decision-making and enhances user outcomes.

Use of bitsCrunch API Flow

1. Data Collection: The platform uses bitsCrunch APIs to retrieve protocol-specific data, including transaction volumes, liquidity metrics, token prices, and market trends.
2. Preprocessing: Data is formatted and filtered for relevance, ensuring high-quality inputs to the AI model.
3. AI Analysis: The processed data is fed into Cohere AI's RAG model, which generates structured investment strategies based on user preferences and real-time insights.
4. Strategy Execution: The AI outputs include swap, bridge, and arbitrage recommendations with detailed metrics like expected returns and slippage.
5. Visualization: Strategies and protocol metrics are displayed through an interactive dashboard, empowering users to track and execute plans effectively.

Tech Stack

• Frontend: Vite, React.js, Tailwind CSS
• AI & Backend: Python, Cohere AI, bitsCrunch APIs
• Visualization: Recharts
• Architecture: Reactive AI pipeline with RAG (Retrieval-Augmented Generation) for real-time strategy generation and insights.

Setup the Project

1. Clone the Repo
2. Setup Backend

   cd agentBackend
   python3 -m venv env
   source env/bin/activate
   pip install -r requirements.txt
   python3 src/main.py
   

3. Setup Frontend

   cd Frontend
   npm i
   npm run dev
   

Your project should be running locally : here