This trading bot monitors AAPL, TSLA, and NVDA in USDG, providing buy, sell, or hold recommendations through a single call. Built as a fun project using 3Route, Jev (TypeSafe), x402, and Robinhood Chain.
added by @3route_io
Ranked from stored criteria vectors. No live classification on this page.
The Jev model selects tokenized stocks based on user input, focusing on specific sectors. Currently being developed for Open House in Singapore.
This trading bot determines whether to buy or sell based on asset pair price feeds and executes real trades. It utilizes Monad to place orders on Kuru's on-chain order book every 300ms.
A society of 100 agents was built using the Jev model, enabling 100 decisions per request in approximately 250ms. This setup allows for 20,000 decisions at a cost of just 11 cents, making it 240 times cheaper than a frontier model.
This free tool on the Grok Bot marketplace evaluates a US house address or link, scoring it for various investment types including rentals and flips. It provides a concise scorecard indicating the best investment fit for the property.
This plugin transforms model output into typed judgments: Choice, Score, or Noul, ensuring validation before host code execution.
Jev, a model from TypeSafe AI, is now integrated into Orus agents to review proposed trades. It can approve, refuse, or request further observation based on user-defined conditions.