Yoso is highly relevant to the AI agent ecosystem because prediction markets are one of the most natural environments for autonomous agents. LLM-based agents can ingest news in real-time, assess probabilities, and execute trades faster than human users. However, these agents require sophisticated piping to interact with multiple exchanges like Kalshi and Polymarket simultaneously.
By providing a consolidated terminal with professional order types (like limit orders and conditional fills) and real-time data feeds, Yoso offers the infrastructure that builders use to monitor or deploy systematic trading agents. While Yoso is currently a web-based terminal for humans, its existence as an aggregation layer for prediction market APIs makes it a significant player in the 'agentic finance' stack, where information-gathering agents and execution agents meet to trade on global events.
Prediction markets had a breakout period in late 2024, driven by the immense volume on Polymarket during the US election cycle. While these underlying protocols provided the liquidity and the contracts, the user experience remained largely tethered to basic web interfaces designed for retail participants. Yoso is an attempt to close the gap for the next wave of participants by providing a quantitative trading terminal built specifically for this ecosystem.
Based at yoso.bet, the platform is an aggregator and a dedicated journaling tool. It allows users to manage positions on both Kalshi (the regulated US exchange) and Polymarket (the decentralized Polygon-based platform) from a single interface. This aggregation is not merely for convenience; it is a play for capital efficiency. In fast-moving markets where news breaks in seconds, switching between different blockchain-based wallets and regulated fiat interfaces is a friction point that Yoso eliminates. By using Privy for embedded wallet management, Yoso provides a smoother onboarding process than many typical Web3 applications.
The feature set is divided into execution and intelligence. On the execution side, Yoso offers order types that the base platforms often lack, such as limit orders and conditional fills. This allows for systematic trading strategies that do not require the user to be glued to a screen. Crucially, the company does not charge additional trading fees on top of the platform fees, positioning itself as a value-add layer rather than a middleman taking a cut of the spread.
Perhaps more interesting is the focus on the psychology of trading. Yoso emphasizes emotional discipline through its journaling tools. Prediction markets are uniquely prone to bias and 'tilt' because they often involve betting on highly charged political or social outcomes. The terminal includes tools to log mindsets and track ROI and win rates across all positions. This data-driven approach to one's own trading history is a staple of professional prop trading but has been largely absent in the nascent prediction market space.
For market intelligence, Yoso provides 'whale tracking.' In markets where information is the primary commodity, watching the flow of 'smart money' is a standard strategy. By surfacing real-time data on large positions and the performance of top-tier traders, Yoso attempts to reduce information asymmetry for its users. This includes live orderbooks and volume metrics that are often difficult to parse on primary exchanges.
Currently in beta, Yoso follows a freemium model. The core terminal and tracking features are available for free, while premium features are planned for more advanced analytics. The company represents a broader trend in the crypto space: the move away from speculative apps toward infrastructure for the 'on-chain' economy. As automated systems begin to dominate prediction market volume, terminals like Yoso will likely become the primary interface for both human supervisors and the systematic agents they manage.
A quantitative trading terminal and journal for prediction markets like Kalshi and Polymarket.
Yoso is hiring.