PillarLab
9-Pillar Analysis ~30s
10 credits
#1 AI-Powered Prediction Market Analyzer Tool for Kalshi & Polymarket
Paste any market URL for a full 9-pillar analysis: Vegas lines, injury reports, weather forecasts, sentiment, edge vs market, and a Best Trade call.How it works
Paste a Kalshi or Polymarket URL → AI fetches real-time API market data → 4–5 parallel intelligence sources → a deep 9-pillar analysis → an actionable prediction with an edge estimate. 5 market categories: Politics, Sports, Weather, Finance and General.
⚽ Sports (9 Pillars)
- 1.Vegas Lines → spread, moneyline, totals
- 2.Line Movement → sharp money signals
- 3.Injury Reports → player status tracking
- 4.Reddit Sentiment → r/sportsbook consensus
How it works
Paste a Kalshi or Polymarket URL → AI fetches real-time API market data → 4–5 parallel intelligence sources → a deep 9-pillar analysis → an actionable prediction with an edge estimate. 5 market categories: Politics, Sports, Weather, Finance and General.
⚽ Sports (9 Pillars)
- 1.Vegas Lines → spread, moneyline, totals
- 2.Line Movement → sharp money signals
- 3.Injury Reports → player status tracking
- 4.Reddit Sentiment → r/sportsbook consensus
- 5.Team Statistics → form, H2H, splits
- 6.Situational Factors → rest, travel, schedule
- 7.Handle Splits → public vs sharp money
- 8.Time Decay → late line movement
- 9.Contrarian Check → fade-the-public value
- 5.Team Statistics → form, H2H, splits
- 6.Situational Factors → rest, travel, schedule
- 7.Handle Splits → public vs sharp money
- 8.Time Decay → late line movement
- 9.Contrarian Check → fade-the-public value
🌦️ Weather (9 Pillars)
- 1.Forecast Consensus → GFS / ECMWF / NWS agreement
- 2.Ensemble Spread → GEFS uncertainty range
- 3.Forecast Skill Decay → accuracy vs time horizon
- 4.Historical Base Rate → NOAA climate frequency
- 5.Model Divergence → where models disagree vs market
- 6.Micro-Climate Bias → station-specific effects
- 7.Storm Track → NHC cone / hurricane tracking
- 8.Market Pricing → implied probability vs forecast
- 9.Contrarian Check → overshoot / mean-reversion
💰 Finance (9 Pillars)
- 1.Technical Analysis → RSI, MACD, support levels
- 2.Fundamental Metrics → P/E, revenue, earnings
- 3.Smart Money → institutional flows, insider trades
- 4.Reddit Sentiment → WSB, r/stocks analysis
- 5.Macro Indicators → Fed rates, inflation, GDP
- 6.News Catalysts → earnings, product launches
- 7.Social Velocity → Twitter momentum tracking
- 8.Market Signals → volume, bid-ask analysis
- 9.Contrarian Check → overcrowded trade detection
📰 General (9 Pillars)
- 1.Base Rate → historical frequency analysis
- 2.Official Benchmarks → expert forecasts
- 3.Reddit Sentiment → subreddit consensus
- 4.Social Velocity → viral momentum tracking
- 5.News Recency → 24–72h breaking news
- 6.Source Quality → credibility scoring
- 7.Time Decay → resolution timeline
- 8.Contrarian Check → hidden edge detection
🏛️ Politics (9 Pillars)
- 1.Polls Analysis → polling vs market odds divergence
- 2.Economic Impact → GDP, unemployment affecting votes
- 3.Approval Ratings → candidate favorability tracking
- 4.Cross-Platform Markets → Polymarket vs Kalshi arbitrage
- 5.Breaking News → events shifting political odds
- 6.Regional Patterns → swing state analysis
- 7.Social Sentiment → Reddit, X political trends
- 8.Data Uncertainty → confidence intervals
- 9.Contrarian Risk → devil's advocate view
85.7%
Decisive sports calls, graded on real market settlements