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Polymarket

此技能用于查询 Polymarket(https://polymarket.com/)的实时数据,包括市场类别、热门市场等。

person作者: amurtiger01hubclawhub

Polymarket Real-time Query Skill

Purpose

Query real-time prediction market data from Polymarket, including:

  • All market categories (Sports, Politics, Crypto, Business, Entertainment, AI, etc.)
  • Current odds/prices for any market
  • Trending and most actively traded markets
  • Live/in-play sports markets
  • Search for specific markets by keyword
  • Detailed event and market information with sub-markets

When to Use

Use this skill when the user asks about:

  • Polymarket markets, odds, or predictions
  • Current betting odds for events (sports, politics, crypto, etc.)
  • Live or in-play markets
  • Trending prediction markets
  • Specific market or event details on Polymarket
  • Prediction market probabilities for real-world events

How to Use

Primary Tool: Python Query Script

Execute the bundled Python script scripts/polymarket_query.py to query Polymarket data:

python "<skill_dir>/scripts/polymarket_query.py" <command> [options]

A PowerShell version (scripts/polymarket_query.ps1) is available in the GitHub repository but is not included in the ClawHub package due to file type restrictions.

Schedule Sport Keywords

When using the schedule command, supported sport keywords are:

  • nba, basketball → NBA
  • nfl, football → NFL
  • mlb, baseball → MLB
  • nhl, hockey → NHL
  • soccer, epl, premierleague → English Premier League
  • laliga → La Liga
  • ligue1 → Ligue 1
  • ucl, championsleague → UEFA Champions League
  • mls → MLS
  • atp, tennis → ATP Tennis
  • wta → WTA Tennis
  • ufc, mma → UFC/MMA
  • cs2, csgo → Counter-Strike 2
  • lol, leagueoflegends → League of Legends
  • f1, racing → Formula 1
  • pga, golf → PGA Golf
  • boxing → Boxing
  • cricket → Cricket

Available Commands

| Command | Parameters | Description | |---------|-----------|-------------| | categories | — | List all market categories and sub-categories | | trending | --limit N (default 10) | Show top trending markets by 24h volume | | search | --keyword X --limit N | Search markets by keyword in question/description | | market | ID | Get detailed market info with odds, volume, dates | | event | ID | Get event with all sub-markets and their odds | | odds | ID | Get focused odds/prices for a market | | sports | --limit N (default 10) | Show sports markets | | politics | --limit N (default 10) | Show politics markets | | crypto | --limit N (default 10) | Show crypto markets | | category | --slug X --limit N | Markets in a specific category slug | | live | — | Show live/in-play sports markets | | schedule | --sport X --date YYYY-MM-DD | Show sports schedule by sport & date |

Execution Examples

# List all categories
python "<skill_dir>/scripts/polymarket_query.py" categories

# Top 10 trending markets
python "<skill_dir>/scripts/polymarket_query.py" trending --limit 10

# Search for Bitcoin markets
python "<skill_dir>/scripts/polymarket_query.py" search --keyword "Bitcoin" --limit 5

# Get market details
python "<skill_dir>/scripts/polymarket_query.py" market 1862566

# Get odds for a specific market
python "<skill_dir>/scripts/polymarket_query.py" odds 1862566

# Get event details with sub-markets
python "<skill_dir>/scripts/polymarket_query.py" event 320112

# Show sports markets
python "<skill_dir>/scripts/polymarket_query.py" sports --limit 15

# Show live/in-play markets
python "<skill_dir>/scripts/polymarket_query.py" live

# Show NBA schedule for a specific date
python "<skill_dir>/scripts/polymarket_query.py" schedule --sport nba --date 2026-04-12

# Show soccer/EPL schedule
python "<skill_dir>/scripts/polymarket_query.py" schedule --sport soccer --date 2026-04-12

Workflow

  1. Identify user intent: Determine what type of Polymarket data the user wants
  2. Select appropriate command: Choose the script command that best matches the query
  3. Execute the script: Run the Python script using execute_command tool
  4. Format the response: Present the results in a clear, readable format to the user in their language

Common Query Patterns

  • "Polymarket上有什么热门的?" → Use trending command
  • "X的赔率是多少?" → Use search to find the market, then odds or market with the market ID
  • "有什么体育比赛市场?" → Use sports command
  • "有哪些政治预测市场?" → Use politics command
  • "有什么正在进行的比赛?" → Use live command
  • "搜索比特币相关市场" → Use search --keyword "Bitcoin" command
  • "Polymarket有哪些分类?" → Use categories command
  • "今天NBA有什么比赛?" → Use schedule --sport nba --date YYYY-MM-DD command
  • "4月12日的足球比赛" → Use schedule --sport soccer --date 2026-04-12 command

Understanding Odds

Polymarket uses a price-based system where:

  • Price ranges from 0 to 1 (displayed as percentage, e.g., 65%)
  • A "Yes" price of 0.65 means the market thinks there's a 65% probability
  • Implied odds = 1 / price (e.g., 0.65 → 1.54x)
  • For multi-outcome markets (e.g., "Who will win X?"), each option has its own price

Direct API Fallback

If the script is unavailable or needs adjustment, query the Gamma API directly:

curl "https://gamma-api.polymarket.com/markets?limit=10&active=true&closed=false&order=volume24hr&ascending=false"
curl "https://gamma-api.polymarket.com/markets/{market_id}"
curl "https://gamma-api.polymarket.com/events/{event_id}"
curl "https://gamma-api.polymarket.com/categories"

For detailed API documentation, refer to references/api_reference.md.

Important Notes

  • Polymarket is a prediction market (not a traditional sportsbook). "Odds" represent probability estimates, not fixed payouts.
  • There is no "real-time score" feed in the Polymarket API — for live scores of sports events, consult sports-specific APIs. However, price movements on Polymarket often reflect game progress.
  • Market data is updated frequently but may have slight delays (typically seconds to minutes).
  • The Python script uses certifi for SSL certificate verification if available, otherwise tries system CA bundles. On Windows systems without certifi, it falls back to disabling cert verification with a warning. Install certifi (pip install certifi) for secure connections.
  • A PowerShell version is available in the GitHub repository for Windows users who prefer it.
  • Category slugs for direct filtering: sports, politics, crypto, business, coronavirus, pop-culture, science, ai