Kalshi Sports Event Contracts
Priced Against Sharp Odds

import requests

# Configuration
API_KEY = "YOUR_KEY"
SPORT = "americanfootball_nfl"
MIN_EDGE_CENTS = 3  # minimum edge after fees
KALSHI_FEE = 0.01  # $0.01 per contract per side

# Step 1: Pull odds from 50 bookmakers
response = requests.get(
    f"https://api.theoddsapi.com/v4/sports/{SPORT}/odds",
    params={
        "apiKey": API_KEY,
        "regions": "us,eu,uk,au",
        "markets": "h2h",
        "oddsFormat": "decimal"
    }
)

events = response.json()

for event in events:
    # Step 2: Find Pinnacle (sharpest book) or use consensus
    pinnacle = next(
        (b for b in event["bookmakers"] if b["key"] == "pinnacle"), None
    )
    if not pinnacle:
        continue

    outcomes = pinnacle["markets"][0]["outcomes"]

    # Step 3: Strip vig to get true probability
    raw_probs = [1 / o["price"] for o in outcomes]
    overround = sum(raw_probs)
    fair_probs = [p / overround for p in raw_probs]

    # Step 4: Compare against Kalshi contract prices
    # Replace with actual Kalshi API contract lookup
    kalshi_contracts = {
        outcomes[0]["name"]: 0.71,  # "Yes" price for team A
        outcomes[1]["name"]: 0.29,  # "Yes" price for team B
    }

    for outcome, fair_prob in zip(outcomes, fair_probs):
        contract_price = kalshi_contracts.get(outcome["name"], 0)
        if not contract_price:
            continue

        gross_edge = fair_prob - contract_price
        net_edge = abs(gross_edge) - (KALSHI_FEE * 2)  # buy + sell fees

        if net_edge > (MIN_EDGE_CENTS / 100):
            side = "SELL" if gross_edge < 0 else "BUY NO"
            print(f"{event['away_team']} @ {event['home_team']}")
            print(f"  Contract: {outcome['name']} Yes @ ${contract_price}")
            print(f"  Fair value: {fair_prob:.1%} | Edge: {gross_edge*100:+.1f}c gross, {net_edge*100:.1f}c net")
            print(f"  Action: {side}")

{
  "event": "Bills vs Dolphins",
  "market": "h2h",
  "edges": [
    {
      "bookmaker": "fanduel",
      "outcome": "Buffalo Bills",
      "odds": 1.52,
      "fair_odds": 1.55,
      "edge_points": 1.3,
      "implied_fair_prob": 0.645
    }
  ]
}