Key III

Screenshots

Problem Statement

We’re drowning in information, starving for knowledge - while we’ve moved from username/pass to wallet addresses and Web3 domains, we’re still missing primitives that will allow us to unlock value at scale.Key3 builds a unique identity fingerprint for each wallet and allows users to share the data with 3rd parties and dapps - and keeps users in control.Linkshttps://web3.key.ai/profile

Solution

Navigating through the transaction data on EtherScan was smooth sailing, but unraveling the categories and descriptions of the tokens posed a bit of a challenge. To tackle this, we implemented Natural Language Processing (NLP) techniques to classify these tokens. However, it's worth noting that continual data acquisition is crucial to fine-tune and enhance the accuracy of our models. Think of it as refining our tools to ensure precision in the ever-evolving landscape of token information.Gaining access to on-chain data remains a time-consuming process, demanding considerable CPU/processing resources. Transforming this data into a more accessible format, such as BigData or GraphQL, has the potential to optimize both network efficiency and computational performance.