
Polymarket
Gives you live sports betting odds and prediction market data from Polymarket across NFL, NBA, MLB, soccer leagues, tennis, MMA, and more. No API key needed. Pull moneyline prices, spreads, totals, player props, and full order books. Prices come back as raw probabilities (0.65 = 65% chance), so no conversion needed. The main gotcha is you must pass the sport parameter to search_markets or you'll get zero results for single-game markets. Use this when someone asks "who's favored to win" or wants market sentiment, not for actual scores or match stats. Works well for comparing implied probabilities across different sportsbooks since Polymarket's crypto-native structure often shows different prices than traditional books.
- skills.sh installs
- 1.4K
- GitHub stars
- 268
- last updated
- Aug 21, 2026
Install
$ npx -y skills add machina-sports/sports-skills --skill polymarket --agent claude-codeInstalls into .claude/skills of the current project.
Files
Polymarket — Sports Prediction Markets (Read-Only)
Before writing queries, consult references/api-reference.md for sport codes, command parameters, and price format.
This skill is intentionally read-only. It can fetch market metadata, implied probabilities, order books, and recent price/trade history from public Polymarket endpoints. It must not configure wallets or place/cancel orders.
Quick Start
Prefer the CLI — it avoids Python import path issues:
sports-skills polymarket search_markets --sport=nba --sports_market_types=moneyline
sports-skills polymarket get_todays_events --sport=epl
sports-skills polymarket search_markets --sport=epl --query="Leeds" --sports_market_types=moneyline
sports-skills polymarket get_sports_config
Python SDK (alternative):
from sports_skills import polymarket
polymarket.search_markets(sport='nba', sports_market_types='moneyline')
polymarket.get_todays_events(sport='epl')
polymarket.search_markets(sport='epl', query='Leeds')
polymarket.get_sports_config()
CRITICAL: Before Any Query
Sponsors
Details
- Repository
- github.com/machina-sports/sports-skills
- Categories
- Backend & APIs, Data Science & ML, Finance & Trading
- First seen
- May 16, 2026