AssetSphere

Problem Statement

there is a common problem in real world assets on chain, because most of the data about real world assets sits outside of chain. The second problem is that they are usually mono-chain due to complexity.For these reasons I have built AssetSphere that takes real world data using trusted API's, and then takes them through an impartial AI agent to generate evaluations that then are synced cross chains. If the state of the RWA in one chain is affected, its reflected on other chains.

Solution

It uses real estate API's like RentCast and Zillow to get address data and then feeds that data to AS1 LLM from Fetch.AI to update:location scorevaluationdefault risk scoreThen it uses the agent to push this into chain where LayerZero picks it up and propagates it across other testnets - currently three are supported: Base Sepolia, Eth Sepolia and Polygon Amoy.In the same way if there is a bid made on the property in ANY of the chains, we use the push flow from LayerZero to update it in all other chains so the state is synced.