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🦀 ClawHub

Prediction Market Data

by @bibaofeng

Cross-platform prediction market data via AIsa API. Query Polymarket and Kalshi markets, prices, orderbooks, candlesticks, positions, and trades. Use when us...

Versionv1.0.0

Downloads502

#database #legal

View on ClawHub →

TERMINAL

clawhub install prediction-market-data

📖 About This Skill

name: prediction-market-data description: "Cross-platform prediction market data via AIsa API. Query Polymarket and Kalshi markets, prices, orderbooks, candlesticks, positions, and trades. Use when user asks about: prediction market odds, election betting, event probabilities, market sentiment, Polymarket prices, Kalshi prices, sports betting odds, wallet PnL, or cross-platform market comparison." license: MIT metadata: openclaw: emoji: "📈" requires: bins: [python3] env: [AISA_API_KEY] primaryEnv: AISA_API_KEY

Prediction Market Data

Query Polymarket and Kalshi prediction markets via AIsa API.

Setup

export AISA_API_KEY="your-key"

Get a key at aisa.one ($0.01/query, pay-as-you-go).

Workflow

Querying prediction market data involves these steps:

1. Search markets to find IDs (always start here) 2. Extract the ID from the response (token_id, condition_id, or market_ticker) 3. Query details using the extracted ID (price, orderbook, candlesticks, etc.)

Quick Examples

Polymarket: search → get price

# Step 1: Search — find markets and extract token_id (side_a.id or side_b.id)
python3 {baseDir}/scripts/prediction_market_client.py polymarket markets --search "election" --status open --limit 5
Step 2: Get price using token_id from Step 1
python3 {baseDir}/scripts/prediction_market_client.py polymarket price

Kalshi: search → get price

# Step 1: Search — find markets and extract market_ticker
python3 {baseDir}/scripts/prediction_market_client.py kalshi markets --search "fed rate" --status open --limit 5
Step 2: Get price using market_ticker from Step 1
python3 {baseDir}/scripts/prediction_market_client.py kalshi price

Cross-platform sports

python3 {baseDir}/scripts/prediction_market_client.py sports by-date nba --date 2025-04-01

ID Reference

Most commands need an ID from the markets response. Always search first.

| Platform | ID Field | Where to Find | |----------|----------|---------------| | Polymarket | token_id | side_a.id or side_b.id in markets output | | Polymarket | condition_id | condition_id in markets output | | Kalshi | market_ticker | market_ticker in markets output |

Commands

Polymarket

python3 {baseDir}/scripts/prediction_market_client.py polymarket markets [--search ] [--status open|closed] [--min-volume ] [--limit ]
python3 {baseDir}/scripts/prediction_market_client.py polymarket price  [--at-time ]
python3 {baseDir}/scripts/prediction_market_client.py polymarket activity --user  [--market-slug ] [--limit ]
python3 {baseDir}/scripts/prediction_market_client.py polymarket orders [--market-slug ] [--token-id ] [--user ] [--limit ]
python3 {baseDir}/scripts/prediction_market_client.py polymarket orderbooks --token-id  [--start ] [--end ] [--limit ]
python3 {baseDir}/scripts/prediction_market_client.py polymarket candlesticks  --start  --end  [--interval 1|60|1440]
python3 {baseDir}/scripts/prediction_market_client.py polymarket positions  [--limit ]
python3 {baseDir}/scripts/prediction_market_client.py polymarket wallet (--eoa  | --proxy ) [--with-metrics]
python3 {baseDir}/scripts/prediction_market_client.py polymarket pnl  --granularity

Kalshi

python3 {baseDir}/scripts/prediction_market_client.py kalshi markets [--search ] [--status open|closed] [--min-volume ] [--limit ]
python3 {baseDir}/scripts/prediction_market_client.py kalshi price  [--at-time ]
python3 {baseDir}/scripts/prediction_market_client.py kalshi trades [--ticker ] [--start ] [--end ] [--limit ]
python3 {baseDir}/scripts/prediction_market_client.py kalshi orderbooks --ticker  [--start ] [--end ] [--limit ]

Cross-Platform Sports

python3 {baseDir}/scripts/prediction_market_client.py sports matching (--polymarket-slug  | --kalshi-ticker )
python3 {baseDir}/scripts/prediction_market_client.py sports by-date  --date

Sports: nfl, mlb, cfb, nba, nhl, cbb, pga, tennis.

Understanding Odds

Prices are decimals: 0.65 = 65% implied probability. "Yes" price = probability the event happens. Higher volume = more liquidity.

Security & Permissions

Requires: AISA_API_KEY environment variable.

All operations are read-only via HTTPS GET to api.aisa.one. No trades executed, no wallets connected, no personal data sent beyond the API key. Every response includes usage.cost and usage.credits_remaining.

Full docs: AIsa API Reference.

⚙️ Configuration

export AISA_API_KEY="your-key"

Get a key at aisa.one ($0.01/query, pay-as-you-go).