Turns opaque blockchain transactions into readable, auditable stories
A user pastes a transaction hash, and our AI returns a plain-English explanation (e.g., "This was a token swap on Uniswap"). This AI-generated rationale is a new, valuable piece of synthetic data. We store this data on Lighthouse and launched the $WHY data coin on 1MB.io to create an economy where auditors or other AI agents can buy this valuable, labeled data.
This project is a React/Next.js frontend and a Python/Flask backend (the AI agent), deployed together on Vercel. Frontend (React) sends a transaction hash to the Python API. Backend (Python) uses web3.py and Alchemy to get the transaction data. AI Agent (OpenAI): This data is fed to GPT-4o to generate a human-readable JSON rationale. Data Storage (Lighthouse): The AI's JSON response is uploaded and stored on Lighthouse, creating our permanent synthetic data asset. Frontend (React) displays the rationale and the Lighthouse CID (proof of storage) to the user. Lighthouse was essential for storing the AI-generated data our agent creates. 1MB.io allowed us to instantly launch the $WHY data coin to power our new data economy.

