ZeroCortex

An adversarial multi-agent system for prediction market research and trading

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Description

A sophisticated automated research system for markets like Polymarket, utilizing seven specialist agents across preparation, evidence gathering, expert council, and final verdict phases. It uses adversarial logic to stress-test hypotheses and Bayesian synthesis to provide probability bands with audited reasoning trails.

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Details

Why this is interesting: A high-utility application of adversarial multi-agent architectures to the concrete, high-stakes domain of prediction…
Built with: GPT-5 GPT Image 2 North Mini Code Llama 3.3 70B GPT-4.1 o4-mini
Tags: #prediction-markets #polymarket #agents #adversarial-ai

Discovered: X
First posted: X · Jul 15, 2026
Listed: Added 5h ago
Build: Strong
Models: Strong

Prompt

1. Feed it the rules first. "Here are the exact resolution rules. What precisely triggers YES vs NO, and what edge case could resolve this against the obvious reading?"
2. Hand it evidence, ask for direction and credibility. "Here are recent headlines — weight them. Is this three independent confirmations, or one rumor recycled three times?"
3. Force a probability as a range. "Give me a likelihood band, not a fake 73.4%."
4. Make it attack its own answer. "Now refute the position you just built."

Source

ZeroCortex

Description

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ZeroCortex

Description

Timeline