How NexHunt Works
AI-powered market intelligence at your fingertips
NexHunt uses a sophisticated Multi-Agent AI System to analyze prediction markets in real-time. Instead of a single AI making decisions, we orchestrate multiple specialized agents that work together - debating, challenging, and refining assessments to provide data-driven analysis for your consideration.
◈ The Analysis Pipeline
Understand market rules
Collect web evidence
Structure evidence
Score with 4+1 Pillars
Devil's Advocate
Final report
Why Multi-Agent?
Single-model AI systems can be overconfident or miss blind spots. Our multi-agent approach ensures predictions are challenged, validated, and refined through debate - similar to how a team of analysts would approach a complex decision.
Analysis Modes
Choose how you want to receive insights
Focused Analysis
The AI highlights the highest-probability option based on your selected perspective. You'll receive a probabilistic assessment with supporting data and detailed reasoning for your own evaluation.
Users who prefer a focused analysis highlighting the statistically strongest option for their own decision-making.
Overview Mode
Get a balanced analysis of all market options without highlighting any single outcome. Perfect for learning or when you want to evaluate all possibilities yourself.
Experienced users who want comprehensive data to make their own informed decisions.
Analysis Depth
Brief Mode
Faster analysis with concise output. Great for quick checks.
Detailed Mode (Default)
Comprehensive analysis with full evidence and reasoning trails.
Analysis Strategies
Adapt the AI's analytical approach to your preferences
NexHunt adapts its analysis approach based on your selected perspective. Each perspective affects how the AI weighs evidence, calculates probabilities, and presents the data.
Conservative
HIGH CONFIDENCE FOCUSPrioritizes scenarios with higher certainty. The AI focuses on high-probability outcomes with strong evidence support and minimal uncertainty factors.
Users who prefer analysis focused on higher-certainty scenarios with stronger evidence support.
Value
DIVERGENCE ANALYSISValue-focused approach identifying price/probability discrepancies. Highlights scenarios where the AI's probability estimate shows notable divergence from current market consensus.
Most users. Identifies divergences between AI probability estimates and market pricing.
High Risk
HIGH RISK / HIGH REWARDFocuses on opportunities with higher risk but potentially greater rewards. Identifies longshots and situations where market may be mispricing outcomes.
Users interested in exploring scenarios with larger probability divergences and alternative perspectives.
Important Disclaimer
NexHunt provides probabilistic analysis for informational and educational purposes only. This analysis does NOT constitute investment advice, financial guidance, or a suggestion to place any wager. NexHunt is not registered as a financial advisor or commodity trading advisor. Prediction markets involve significant risk of loss. AI analysis can be incorrect. Past AI performance does not guarantee future results. Users are solely responsible for their own decisions.
The 4+1 Pillar System
How we evaluate every prediction
Every market is scored across five pillars that capture different dimensions of analysis. This multi-faceted approach ensures no single factor dominates the prediction.
Structural Analysis
Evaluates market mechanics, rule clarity, resolution criteria, and potential edge cases. Ensures we understand exactly what the market is measuring.
Momentum
Tracks recent trends, price movements, and sentiment shifts. Captures the "direction" the market is moving and recent developments.
Catalyst Events
Identifies upcoming events that could move the market - announcements, deadlines, key dates, and potential surprises.
Competitive Analysis
Compares options head-to-head, evaluates relative strengths, and assesses how choices stack up against each other.
Market Probability
The current market consensus - what the crowd believes. Used as a baseline reference to compare our AI's probability estimate against. When AI probability diverges significantly from market probability, that's where potential value exists.
Market says 60% | AI says 80% → Notable divergence (AI estimates higher probability than current market consensus)
How Pillars Combine
Each pillar is weighted dynamically based on market type and context. For example:
Political Markets
Higher weight on Momentum (P2) and Catalyst (P3) due to news-driven nature
Sports Markets
Higher weight on Competitive (P4) for head-to-head matchups
Reading Your Results
Understanding what the analysis tells you
◈ Confidence Scores
Every prediction comes with a confidence score from 0-100%. Here's what they mean:
Strong Conviction
Multiple pillars align. Evidence is strong and consistent. Good candidate for the selected strategy.
Moderate Confidence
Some uncertainty exists. Evidence is mixed or key factors are unknown. Proceed with caution.
Low Confidence
High uncertainty or conflicting evidence. Market may be too unpredictable for reliable prediction.
◈ Evidence Types
Evidence For
Sources and data points that support the highlighted assessment. Shows why the AI calculated this outcome as more probable.
Evidence Against
Contradicting information and risks identified by the Devil's Advocate agent. Shows what could go wrong.
◈ Key Metrics Explained
AI Probability
The AI's estimate of the true probability of this outcome occurring, based on all pillar analyses combined.
Market Price (Contract Price)
The current price on Polymarket. A $0.65 contract means the market implies 65% probability. Contracts resolve to $1.00 if correct, $0.00 if incorrect.
Potential Return (If Resolves Yes)
The percentage return if the outcome is correct. A $0.65 contract returns +54% ($0.65 to $1.00). Lower prices mean higher potential returns but lower implied probability.
Expected Value (EV)
The theoretical value per contract based on AI probability. Calculated as: (AI Prob * $1.00) - Contract Price. Positive EV suggests the AI estimates higher probability than the market price implies.
Probability Divergence
The difference between AI probability estimate and current market consensus. A positive divergence indicates the AI estimates higher probability than the market.
Source Reliability (P4 Score)
How reliable and diverse the evidence sources are. Higher scores indicate more trustworthy data foundations.
Pro Tips
- • Always read the Evidence Against section - knowing what could go wrong is just as important as knowing why something might succeed.
- • Higher confidence doesn't always indicate stronger divergence. Consider both the AI probability and how it compares to current market pricing.
- • Check the analysis timestamp. Markets move fast - older analyses may not reflect recent developments.
- • Use Overview Mode periodically to understand all sides of a market for a more comprehensive perspective.
Important Notice
For informational and educational purposes only. NexHunt provides AI-generated analysis based on publicly available data. This does not constitute financial, investment, or trading advice.
Prediction markets involve risk. Past performance does not guarantee future results. Always conduct your own research and consider your personal financial situation before making any decisions.
The metrics shown (Expected Value, Potential Return, etc.) are theoretical calculations based on AI probability estimates and should not be interpreted as guaranteed outcomes.