Welcome to Agent Ted
The AI Trading Infrastructure for Prediction Markets
Abstract
Agent TED (“TED”) is an AI-native trading and pricing infrastructure designed for prediction markets and live sports markets.
TED is not a sportsbook, and it is not a picks platform. It is an intelligence layer that models, prices, and trades probabilistic outcomes in real time.
By combining proprietary neural networks, automated execution, and on-chain settlement, TED identifies mispriced risk across live and pregame markets, deploys capital programmatically, and distributes performance-based rewards back to participants through transparent, on-chain mechanisms.
Where traditional sportsbooks rely on margin, limits, and risk controls to survive sharp action, TED operates as a market participant. Its models price game states directly, execute trades against open markets, and generate verifiable profit and loss without discretion, bias, or opacity.
TED’s mission is to democratize access to institutional-grade sports trading infrastructure by removing human emotion, informational asymmetry, and centralized control from betting markets and by aligning incentives so the community benefits when the system performs.
As of 2025, TED’s models are live and profitable, actively trading prediction markets and generating multiple concurrent reward streams from a single sport. Expansion into additional leagues, live micro-markets, and new data environments is underway. By merging AI driven pricing, automated execution, and decentralized finance (DeFi), TED transforms sports betting from a house-controlled activity into a transparent, performance-driven trading ecosystem.
The Evolution of Sports Betting
For decades, sports betting has been dominated by centralized sportsbooks designed to favor the house.
These platforms control pricing, execution, and settlement while embedding margin into every market and restricting or banning successful participants. Long-term success for individual bettors is structurally unlikely and not because markets are perfectly efficient, but because access to professional-grade tools, execution speed, and capital deployment is intentionally limited.
As betting moved online, this imbalance became more visible. Sharps scaled faster than sportsbooks could contain them, while live markets exposed persistent pricing weaknesses. Rather than improving models, sportsbooks responded with limits, delays, and tighter risk controls.
This created a paradox:
Markets that appear liquid and dynamic
But are priced using shared templates and survivability heuristics
At the same time, prediction markets emerged with a fundamentally different structure. These markets cannot ban participants or hide margin inside odds. Prices are discovered through open competition, spreads replace vig, and inefficiencies persist until traded away.
This shift turns betting into trading and creates demand for a new kind of infrastructure.
A New Market Paradigm
Agent TED is built for this new environment.
TED combines three foundational technologies:
Artificial Intelligence (AI) Neural networks trained on granular, state-based data that model game dynamics, transition probabilities, state decomposition, and historical validation.
Automated Execution Programmatic deployment of capital that trades the model’s edge directly, without human intervention, bias, or discretion.
Blockchain & DeFi On-chain settlement, transparent reward distribution, and tokenized participation that allow users to back strategies, not picks.
Rather than asking users to place bets, TED trades markets on their behalf. Rather than selling predictions, TED operates as a self-improving market actor.
From Betting to Trading
Traditional sportsbooks win by controlling access.
Prediction markets win by enforcing openness.
TED wins by building intelligence that can price risk correctly in real time.
As sports markets continue to shift toward live trading, open access, and transparent execution, the advantage will belong to systems that can understand game states at depth, identify mispricing as it emerges, and execute efficiently at scale.
Agent TED is designed to be that system.
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