Eli5NearTx

This tool aims to make blockchain transactions more understandable for users, regardless of their technical background. To do that, we leverage LLMs (in this case OpenAI's gpt-4o) to analyze transaction data. With the help of external data sources like the PikesPeak API, we enrich on-chain data with other information about the addresses involved in the transaction, which gives the LLM a better understanding of the transaction context, and the ability to infer the intentions behind the transaction.

The project uses a simple HTML + CSS + JS frontend to interact with a python (Flask) backend. The backend uses two APIs:

1. PikesPeak API to fetch transaction information using the transaction hash, and also to fetch general data about all addresses involved in the transaction (affiliations with web3 projects, net-worth, verticals like DeFi/NFT...)
2. OpenAI's "gpt-4o" model to analyze the transaction and account data and provide a good overview of what is happening within the transaction