Categories › Business & Finance › Market data, stocks & crypto
Independent quant layer: fee-adjusted edge, Kelly, combos, best price: Kalshi, Polymarket US, Novig
Remote server: your requests and data go to predictionmarketspicks.com. Claude Code: claude mcp add --transport http prediction-markets-quant https://predictionmarketspicks.com/api/mcp/mcp?via=registry · Claude app: Settings → Connectors → Add custom connector.
The tools this server listed when we connected to it, in its own words.
fed_rate_odds — Use for "will the Fed cut, hold or hike" and "next FOMC meeting odds". Live Kalshi odds for each remaining 2026 FOMC meeting: the next meeticalculate_ev — Use for "is this contract mispriced" and "what is my edge". Give a Kalshi, Polymarket US or Novig price in cents and your own probability; rkelly_size — Compute the optimal Kelly position size for a Kalshi, Polymarket US or Novig contract. Given your win probability, the market price (which sbayes_update — Update a prior probability with one or more pieces of evidence using Bayes theorem. Given a prior and a list of evidence items (each with P(convert_probability — Convert between implied probability, American odds, and decimal odds. Give one value and its format and get all three back (American odds castress_test_strategy — Paste a prediction-market trade history (or just trades, wins and average price) and get whether the edge is statistically real, how many trbase_rate_gap — Use for "how does this price compare to history" and "is the market ignoring the base rate". Compares a market price with the historical bascombo_edge — Use for "price a same-game NFL and NBA combo" and "is this combo worth it". Pass nflGame ("NYG-LAR", "Giants vs Rams") to list that game's Knfl_power_ratings — The PredictionMarketsPicks NFL power ratings — PWR for all 32 teams: points per game above an average team on a neutral field, where PWR = Onfl_win_probability — Use for "who wins Chiefs vs 49ers" and "what does a -7 spread mean". Pass homeTeam + awayTeam (or game, or one team) for our QB-gated model find_arbitrage — Use for "where is the arbitrage" and "Kalshi vs Polymarket price gaps". Cross-venue gaps on the same NFL, NBA, NHL or MLB game: Kalshi againmarket_pulse — The US macro-health composite (0–100) and regime plus the six category scores (growth, labor, inflation, rates, liquidity, sentiment). Returcommodity_edge — Use for "gold edge today" and "oil or bitcoin trade signal". The Kalshi daily gold, silver or WTI strike, or hourly bitcoin strike, with theedge_alerts — Use for "any edge on Kalshi", "where is the edge today" and "weather trade signals". Our model alerts on Kalshi — weather, bitcoin/silver/gonfl_edge — Use for "which NFL games are mispriced on Kalshi" and "NFL win total, MVP or Super Bowl edges". Our NFL model vs live Kalshi prices — this wnfl_prop_edge — Use for "best NFL props today" and "receiving yards prop value". Our projection vs the Kalshi "X or more" prop line: the contract, the YES/Nnhl_edge — Use for "NHL predictions tonight" and "Stanley Cup odds". Tonight's NHL games on Kalshi — moneyline, puck line, totals, period markets — as nfl_prop_board — Use for "where is the best price on <player> receiving yards" and "is Kalshi cheaper than the books". Best price on every NFL prop this weeknba_prop_board — Use for "where is LeBron's points line cheapest tonight". Every Kalshi NBA player-prop strike (points, rebounds, assists, threes) beside Dranba_game_board — Use for "Knicks moneyline on Kalshi vs the books" and "cheapest place for the Celtics spread tonight". Kalshi NBA moneyline, spread and totanba_injury_impact — Use for "Embiid's out tonight — who benefits?" and "who's out in the NBA today". Today's NBA absences from the official injury report, and fnfl_ladder — Use for "where does the model disagree with Kalshi on the Rams spread" and "biggest ladder gaps this week". Every NFL strike ladder — spreadladder_arb — Use for "is any NBA ladder mispriced tonight", "where can I make a market on Kalshi" and "does Novig or Polymarket US price this strike difffifteen_min_board — Use for "what is the ETH 15-minute market doing" and "which Kalshi 15-minute markets are open". Every Kalshi 15-minute up-or-down series (crweather_board — Use for "Kalshi NYC high temperature odds". Every open Kalshi daily-high strike in 13 cities: YES price, settlement station and source, the weather_settlement — Use for "what will the Kalshi NYC high settle at", "has LAX already hit 75" and "which Polymarket temperature bucket is winning". Per statiotrack_record — Use for "how accurate is your model" and "what's your track record". Every graded PredictionMarketsPicks signal per engine (bitcoin, gold, smy_league — Use for "show my fantasy team" and "what is Kalshi pricing my starters at". Give a Sleeper username (and a league name if you have several):start_sit — Use for "should I start Nacua or Adams" and "who does the market like more this week". For 2–4 players: the median Kalshi is pricing for eacwaiver_targets — Use for "who is everyone adding off waivers" and "trending waiver adds this week". Sleeper's most-added players in the last 24 hours with whperps_board — Use for "Kalshi perps funding rate" and "how much leverage on Kalshi gold perps". Every Kalshi perpetual future: price, 24h volume, open intperp_liquidation — Use for "where does a 5x bitcoin long liquidate on Kalshi". Estimates a Kalshi perp's liquidation price and the % move to it from Kalshi's rsenate_map — Use for "2026 Senate map" and "which Senate seats are toss-ups". Every 2026 Senate seat: holder and role, structure rating, forecaster bandsrace_odds — Use for "who wins the Kansas Senate race" and "Michigan governor odds". Live Kalshi odds for one 2026 Senate, governor or competitive House best_price — Use for "where is it cheapest to buy", "Kalshi or Polymarket US for the Bears game" and "cheapest venue for the Georgia Senate race". The saplayer_outlook — One NFL player this week — every Kalshi prop line, the best price across venues, and our probability at each strike. Free. Use for "is <playexplain_player — Why our model prices an NFL player's Kalshi prop strikes where it does this week: the projection, The Ladder's verdict, the widest publishedexplain_game — Why our model prices one NFL game where it does: Kalshi price and market line, our win probability and its anchor, the model's lean in pointexplain_prop — Why we publish a call on one NFL player prop this week: the contract, the YES/NO call and Kalshi's price, our tier (and calibrated odds wherexplain_ladder — Why The Ladder reads one NFL strike ladder (a game spread, a season win total or a player prop) the way it does: the read in words, where KaNot tested by KitScout yet. When our harness runs it, pros, cons and the tasks we tried appear here, with the date and evidence.