polymarket

name	polymarket
description	Polymarket sports prediction markets — live odds, prices, order books, events, series, and market search. No auth required. Covers NFL, NBA, MLB, soccer, tennis, cricket, MMA, esports. Supports moneyline, spreads, totals, and player props. Use when: user asks about sports betting odds, prediction markets, win probabilities, market sentiment, or "who is favored to win" questions. Don't use when: user asks about actual match results, scores, or statistics — use the sport-specific skill: football-data (soccer), nfl-data (NFL), nba-data (NBA), wnba-data (WNBA), nhl-data (NHL), mlb-data (MLB), tennis-data (tennis), golf-data (golf), cfb-data (college football), cbb-data (college basketball), or fastf1 (F1). Don't use for historical match data. Don't use for news — use sports-news instead. Don't confuse with Kalshi — Polymarket focuses on crypto-native prediction markets with deeper sports coverage; Kalshi is a US-regulated exchange with different market structure.
license	MIT
metadata	{"author":"machina-sports","version":"0.1.0"}

Polymarket — Sports Prediction Markets

Quick Start

Prefer the CLI — it avoids Python import path issues:

sports-skills polymarket get_sports_markets --limit=20
sports-skills polymarket search_markets --query="NBA Finals"

Python SDK (alternative):

from sports_skills import polymarket

markets = polymarket.get_sports_markets(limit=20)
prices = polymarket.get_market_prices(token_id="abc123")

Important Notes

• Prices are probabilities. A price of 0.65 means 65% implied probability. No conversion needed.
• token_id vs market_id: Price and orderbook endpoints require the CLOB token_id, not the Gamma market_id. Always call get_market_details first to get clobTokenIds.
• search_markets matches event titles, not sport categories. Use specific league names ("Premier League", "Champions League"), not generic terms ("soccer", "football").
• Before complex fetches, run the parameter validator: bash scripts/validate_params.sh <command> [args]

For detailed reference data, see the files in the references/ directory.

Workflows

Workflow: Live Odds Check

1. search_markets --query="<league/event name>"
2. get_market_details --market_id=<id> to get CLOB token IDs.
3. get_market_prices --token_id=<id>
4. Present probabilities.

Workflow: Event Overview

1. get_sports_events --active=true
2. Pick event, then get_event_details --event_id=<id>.
3. For each market, get prices.

Workflow: Price Trend Analysis

1. Find market via search_markets.
2. get_market_details for token_id.
3. get_price_history --token_id=<id> --interval=1w
4. Present price movement.

Examples

User: "Who's favored to win the NBA Finals?"

1. Call search_markets(query="NBA Finals", sports_market_types="moneyline")
2. Get token_id from the market details
3. Call get_market_prices(token_id="...") for current odds
4. Present teams with implied probabilities (price = probability)

User: "Who will win the Premier League?"

1. Call search_markets(query="English Premier League") -- use full league name
2. Sort results by Yes outcome price descending
3. Present teams with implied probabilities (price = probability)

User: "Show me Champions League odds"

1. Call search_markets(query="Champions League")
2. Present top contenders with prices, volume, and liquidity

Error Handling & Fallbacks

• If search returns 0 results, try full league names ("English Premier League" not "EPL", "Champions League" not "CL"). search_markets matches event titles.
• If get_market_prices fails, you likely used market_id instead of token_id. Always call get_market_details first to get CLOB token_id.
• If prices seem stale, check get_last_trade_price for the most recent trade. Low-liquidity markets may have wide spreads.
• Never fabricate odds or probabilities. If no market exists, state so.