AIMM
AI Agents market making low liquidity/hard to price prediction markets
AIMM
Created At
Winner of
Pyth Network - Most Innovative use of Pyth pull price Feeds 2nd place
Chainlink - Best workflow with Chainlink CRE
Project Description
Currently market making for niche markets on prediction markets like Polymarket or Kalshi relies on human effort with inconsistent and opaque methods for pricing. Oftentimes in these low liquidity environments the fairprice of a market can be heavily distorted. AI Agents have a real opportunity in this kind of market, they can autonomously and continuously price markets, using a variety of tools like sentiment analysis, web search and comparing similar markets.
How it's Made
Our stack consisted of Python scripts for the ai agents, solidity for the contracts, Docker, Postgres, Typescript for the backend and React + NextJs for the frontend. The sponsors we're using are Base,Pyth and Chainlink. We're using chainlink's CRE to provide a private environment for 'fairprice' market pricing in which our users can take advantages of our AI Agents.
