Markets

Markets orchestration — connects ESPN live schedules with Kalshi and Polymarket prediction markets. Unified dashboards, odds comparison, entity search, and b...

Markets Orchestration

Bridges ESPN live schedules (NBA, NFL, MLB, NHL, WNBA, CFB, CBB) with Kalshi and Polymarket prediction markets. Before writing queries, consult references/api-reference.md for supported sport codes, command parameters, and price normalization formats.

Quick Start

sports-skills markets get_todays_markets --sport=nba
sports-skills markets search_entity --query="Lakers" --sport=nba
sports-skills markets compare_odds --sport=nba --event_id=401234567
sports-skills markets get_sport_markets --sport=nfl
sports-skills markets get_sport_schedule --sport=nba
sports-skills markets normalize_price --price=0.65 --source=polymarket
sports-skills markets evaluate_market --sport=nba --event_id=401234567

Python SDK:

from sports_skills import markets

markets.get_todays_markets(sport="nba")
markets.search_entity(query="Lakers", sport="nba")
markets.compare_odds(sport="nba", event_id="401234567")
markets.get_sport_markets(sport="nfl")
markets.get_sport_schedule(sport="nba", date="2025-02-26")
markets.normalize_price(price=0.65, source="polymarket")
markets.evaluate_market(sport="nba", event_id="401234567")

CRITICAL: Before Any Query

CRITICAL: Before calling any orchestration command, verify:

• A sport code is provided for sport-aware commands (get_todays_markets, compare_odds, get_sport_markets, evaluate_market).
• Price sources are identified correctly before normalization: espn = American odds, polymarket = 0-1 probability, kalshi = 0-100 integer.

Important Notes

• Sport context is passed through. --sport=nba maps automatically to the correct Polymarket sport code and Kalshi series ticker.
• Both platforms use sport-aware search. Polymarket uses sport → series_id; Kalshi uses KXNBA, KXNFL, etc.
• Prices are normalized. Everything is converted to implied probability for comparison.

Workflows

Today's NBA Dashboard

sports-skills markets get_todays_markets --sport=nba

Returns each game with ESPN info, DraftKings odds, matching Kalshi markets, and matching Polymarket markets.

Find Arb on a Specific Game

1. Get the ESPN event ID: get_sport_schedule --sport=nba
2. Compare odds: compare_odds --sport=nba --event_id=<id>
3. If arbitrage detected, response includes allocation percentages and guaranteed ROI.

Full Bet Evaluation

1. evaluate_market --sport=nba --event_id=<id>
2. Fetches ESPN odds and matching prediction market price
3. Pipes through betting.evaluate_bet: devig → edge → Kelly
4. Returns fair probability, edge, EV, Kelly fraction, and recommendation

Examples

Example 1: Today's games with prediction market odds User says: "What NBA games are on today and what are the prediction market odds?" Actions:

1. Call get_todays_markets(sport="nba") Result: Unified dashboard with each game's ESPN info and Kalshi/Polymarket prices

Example 2: Cross-platform team search User says: "Find me Lakers markets on Kalshi and Polymarket" Actions:

1. Call search_entity(query="Lakers", sport="nba") Result: All Lakers markets across both exchanges with prices and volume

Example 3: Odds comparison for a specific game User says: "Compare the odds for this Celtics game across ESPN and Polymarket" Actions:

1. Get event_id from get_sport_schedule(sport="nba")
2. Call compare_odds(sport="nba", event_id="<id>") Result: Normalized side-by-side comparison with automatic arbitrage check

Example 4: Full market evaluation User says: "Is there edge on the Chiefs game?" Actions:

1. Get event_id from get_sport_schedule(sport="nfl")
2. Call evaluate_market(sport="nfl", event_id="<id>") Result: Fair probability, edge percentage, EV, Kelly fraction, and bet recommendation

Example 5: Browse all markets for a sport User says: "Show me all NFL prediction markets" Actions:

1. Call get_sport_markets(sport="nfl") Result: All open NFL markets across Kalshi and Polymarket

Example 6: Price conversion User says: "Convert a Polymarket price of 65 cents to American odds" Actions:

1. Call normalize_price(price=0.65, source="polymarket") Result: Common structure with implied probability (0.65), American odds (-185.7), and decimal (1.54)

Commands that DO NOT exist — never call these

• get_odds — does not exist. Use compare_odds to see odds across sources.
• search_markets — does not exist on the markets module. Use search_entity instead.
• get_schedule — does not exist. Use get_sport_schedule instead.

If a command is not listed in references/api-reference.md, it does not exist.

Troubleshooting

Error: No markets returned for a sport Cause: Sport code may be missing or incorrect Solution: Check references/api-reference.md for valid sport codes. Use the exact code (e.g., nba, epl, laliga)

Error: compare_odds returns no data for an event Cause: The event_id is incorrect or the game has not been indexed yet Solution: Call get_sport_schedule(sport=...) to retrieve the correct event_id first

Error: One source shows warnings in the response Cause: Kalshi or Polymarket is temporarily unavailable Solution: The module returns partial results — use what is available. Retry the unavailable source separately using the kalshi or polymarket skill directly

Error: normalize_price returns unexpected American odds value Cause: Wrong source parameter — Kalshi uses 0-100 integers, Polymarket uses 0-1 decimals Solution: Verify the source. Kalshi price of 65 requires source="kalshi", Polymarket price of 0.65 requires source="polymarket"