polymarket
Polymarket sports prediction markets — live odds, prices, order books, events, series, and market search. No auth required. Covers NFL, NBA, MLB, football (EPL, UCL, La Liga), 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.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/antonelli182/sports-skills-polymarketPolymarket — Sports Prediction Markets
Before writing queries, consult references/api-reference.md for sport codes, command parameters, and price format.
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
CRITICAL: Before calling any market endpoint, verify:
- The
sportparameter is always passed tosearch_marketsandget_todays_eventsfor single-game markets. - Prices are probabilities on a 0-1 scale (0.65 = 65%) — no conversion needed.
- For price/orderbook endpoints, use
token_id(CLOB), notmarket_id(Gamma). Callget_market_detailsfirst to getclobTokenIds.
Without the sport parameter:
WRONG: search_markets(query="Leeds") → 0 results
RIGHT: search_markets(sport='epl', query='Leeds') → returns all Leeds markets
Prerequisites
Core commands (no dependencies, no API keys): All read commands work out of the box.
Trading commands require py_clob_client:
pip install sports-skills[polymarket]
Additionally requires a configured wallet:
export POLYMARKET_PRIVATE_KEY=0x...
Workflows
Find Single-Game Markets for a Sport
search_markets --sport=nba(or epl, nfl, bun, etc.)- Each market includes outcomes with prices (price = probability).
- For detailed prices, use
get_market_prices --token_id=<clob_token_id>.
Today's Events for a League
get_todays_events --sport=epl— returns events sorted by start date.- Each event includes nested markets (moneyline, spreads, totals, props).
- Pick a market, get
clob_token_idfrom outcomes, thenget_market_prices.
Live Odds Check
search_markets --sport=nba --query="Lakers" --sports_market_types=moneylineget_market_prices --token_id=<id>for live CLOB prices.- Present probabilities.
Price Trend Analysis
- Find market via
search_markets --sport=nba. - Get
clob_token_idfrom the outcomes. get_price_history --token_id=<id> --interval=1w- Present price movement.
Commands
Metadata
Not sure this is the right skill?
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-antonelli182-sports-skills-polymarket": {
"enabled": true,
"auto_update": true
}
}
}Related Skills
betting
Betting analysis — odds conversion, de-vigging, edge detection, Kelly criterion, arbitrage detection, parlay analysis, and line movement. Pure computation, no API calls. Works with odds from any source: ESPN (American odds), Polymarket (decimal probabilities), Kalshi (integer probabilities). Use when: user asks about bet sizing, expected value, edge analysis, Kelly criterion, arbitrage, parlays, line movement, odds conversion, or comparing odds across sources. Also use when you have odds from ESPN and a prediction market price and want to evaluate whether a bet has positive expected value. Don't use when: user asks for live odds or market data — use polymarket, kalshi, or the sport-specific skill to fetch odds first, then use this skill to analyze them.
football-data
Football (soccer) data across 13 leagues — standings, schedules, match stats, xG, transfers, player profiles. Zero config, no API keys. Covers Premier League, La Liga, Bundesliga, Serie A, Ligue 1, MLS, Champions League, World Cup, Championship, Eredivisie, Primeira Liga, Serie A Brazil, European Championship. Use when: user asks about football/soccer standings, fixtures, match stats, xG, lineups, player values, transfers, injury news, league tables, daily fixtures, or player profiles. Don't use when: user asks about American football/NFL (use nfl-data), college football (use cfb-data), NBA (use nba-data), WNBA (use wnba-data), college basketball (use cbb-data), NHL (use nhl-data), MLB (use mlb-data), tennis (use tennis-data), golf (use golf-data), Formula 1 (use fastf1), or betting odds (use polymarket or kalshi). Don't use for live/real-time scores — data updates post-match. Don't use get_season_leaders or get_missing_players for non-Premier League leagues (they return empty). Don't use get_event_xg for leagues outside the top 5 (EPL, La Liga, Bundesliga, Serie A, Ligue 1).
football-data
Football (soccer) data across 13 leagues — standings, schedules, match stats, xG, transfers, player profiles. Zero config, no API keys. Covers Premier League, La Liga, Bundesliga, Serie A, Ligue 1, MLS, Champions League, World Cup, Championship, Eredivisie, Primeira Liga, Serie A Brazil, European Championship. Use when: user asks about football/soccer standings, fixtures, match stats, xG, lineups, player values, transfers, injury news, league tables, daily fixtures, or player profiles. Don't use when: user asks about American football/NFL (use nfl-data), college football (use cfb-data), NBA (use nba-data), WNBA (use wnba-data), college basketball (use cbb-data), NHL (use nhl-data), MLB (use mlb-data), tennis (use tennis-data), golf (use golf-data), Formula 1 (use fastf1), or betting odds (use polymarket or kalshi). Don't use for live/real-time scores — data updates post-match. Don't use get_season_leaders or get_missing_players for non-Premier League leagues (they return empty). Don't use get_event_xg for leagues outside the top 5 (EPL, La Liga, Bundesliga, Serie A, Ligue 1).
kalshi
Kalshi prediction markets — events, series, markets, trades, and candlestick data. Public API, no auth required for reads. US-regulated exchange (CFTC). Covers football (EPL, UCL, La Liga), basketball, baseball, tennis, NFL, hockey event contracts. Use when: user asks about Kalshi-specific markets, event contracts, CFTC-regulated prediction markets, or candlestick/OHLC price history on sports outcomes. 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 general "who will win" questions unless Kalshi is specifically mentioned — try polymarket first (broader sports coverage). Don't use for news — use sports-news instead.
markets
Markets orchestration — connects ESPN live schedules with Kalshi and Polymarket prediction markets. Unified dashboards, odds comparison, entity search, and bet evaluation across platforms. Use when: user wants to see prediction market odds alongside ESPN game schedules, compare odds across platforms, search for a team/player on Kalshi or Polymarket, check for arbitrage between ESPN odds and prediction markets, or evaluate a specific game's market value. Don't use when: user wants raw prediction market data without ESPN context — use polymarket or kalshi directly. For pure odds math (conversion, de-vigging, Kelly) — use betting. For live scores without market data — use the sport-specific skill.