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AI that shows its work

Every prediction market tool gives you a probability. Supermission gives you the argument. Our AI system isn’t a single model making guesses. It’s four independent agents with different analytical biases — Bull, Bear, Contrarian, and Quant — that analyze every market, debate the evidence, and produce a synthesized view with full transparency.

The philosophy

Don’t delegate understanding. Every signal shows its thesis. Every edge card shows the full reasoning chain. Every War Room analysis shows the agent debate. You’re not trusting a black box — you’re evaluating arguments from four distinct perspectives and deciding for yourself.

The 4-agent system

AgentRoleAnalytical biasData priorities
BullNarrative and source credibility analysisQualitativeSource credibility, political dynamics, institutional incentives, social context
BearMicrostructure and price-in analysisStructuralWhether news is already priced in, trading volume, liquidity, bid-ask spread dynamics
ContrarianAsks “what if everyone is wrong?”SkepticalCrowded trades, false consensus, scenarios the market isn’t pricing, regime changes
QuantBase-rate anchoring with statistical rigorQuantitativeHistorical frequency, current market prices vs base rates, time remaining, calibration
A Judge agent synthesizes all four analyses into a final probability + confidence score, weighing argument quality, evidence strength, and historical calibration.

AI features across the terminal

AI Signals

Real-time alerts when the AI’s probability diverges from market price. Three types: Sentiment (research-driven edge), Momentum (price confirms AI), Spot Price (crypto threshold triggers). Confidence-scored 0-100.

Signal Feed

Dedicated filterable feed of all active signals. Filter by type, category, confidence minimum. Sort by confidence, volume, ending soon, or price change. Cursor-based infinite pagination.

AI War Room

The flagship feature. 4-agent debate with Edge Calculator, Conviction Meter (with audio chime at extreme levels), agent cards with reasoning, Key Doubt from the Contrarian, and Accuracy Scoreboard.

Oracle Agent

Chat-based trading assistant in the Markets terminal. Search markets, analyze positions, place trades, sell positions, manage portfolio — all through natural language with SSE streaming responses.

Whale Intelligence

Top 20 holders per market with position sizes, outcome badges, and aggregate whale sentiment. Surfaces “Smart money leans YES/NO” when whale positions lean 55%+ in one direction.

Alpha Scanner

Automated edge detection running every 30 minutes. Compares AI probability vs market price, calculates EV and Kelly criterion sizing, classifies edges as high conviction / moderate / speculative.

Auto-Pilot

Autonomous trade execution. Set budget, risk tolerance, and signal preferences. The system executes when high-conviction opportunities appear. Full audit trail for every decision (including skips).

Signal strength hierarchy

The strongest trade setups combine multiple AI layers:
1

AI Signal fires

The multi-agent system finds a meaningful divergence between its probability and the market price. Confidence score is 70+ and agents largely agree.
2

War Room confirms

Edge Calculator shows significant mispricing. Conviction Meter is high (70%+). Agent Debate Panel shows 3/4 or 4/4 agents aligned.
3

Whales align

Top Holders panel shows large positions leaning in the same direction as the AI’s thesis. Smart money sentiment crosses 55% threshold.
4

Execute with confidence

When all three layers agree — AI signal + War Room conviction + whale alignment — that’s as close to a high-probability trade as prediction markets offer.

Market tiering

Not all markets get the same AI treatment. Analysis depth scales with market importance:
TierCriteriaAnalysisUpdate frequency
Tier 1Trending OR volume > $50KFull 4-agent debate with judge synthesisEvery 15 minutes
Tier 2Volume > $5K2-agent quick analysis (Bull + Bear)Every 30 minutes
Tier 3Everything elseSingle-model sentiment onlyEvery 60 minutes
Markets also get event-driven re-analysis when matched news arrives, regardless of tier.
AI signals are analysis, not financial advice. The multi-agent system improves signal quality but cannot predict the future. Markets are adversarial. Always understand the reasoning chain before acting on a signal — that’s why we show the full debate.