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Data & analysis
Prediction Market Data
Try itCross-platform prediction market data via AIsa API. Query Polymarket and Kalshi markets, prices, orderbooks, candlesticks, positions, and trades. Use when us...
What it does
Query Polymarket and Kalshi prediction markets via AIsa API.
The skill document
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:
- Search markets to find IDs (always start here)
- Extract the ID from the response (
token_id,condition_id, ormarket_ticker) - 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.
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