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 <token_id>

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 <market_ticker>

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.

Commands

Polymarket

python3 {baseDir}/scripts/prediction_market_client.py polymarket markets [--search <kw>] [--status open|closed] [--min-volume <n>] [--limit <n>]
python3 {baseDir}/scripts/prediction_market_client.py polymarket price <token_id> [--at-time <unix_ts>]
python3 {baseDir}/scripts/prediction_market_client.py polymarket activity --user <wallet> [--market-slug <slug>] [--limit <n>]
python3 {baseDir}/scripts/prediction_market_client.py polymarket orders [--market-slug <slug>] [--token-id <id>] [--user <wallet>] [--limit <n>]
python3 {baseDir}/scripts/prediction_market_client.py polymarket orderbooks --token-id <id> [--start <ms>] [--end <ms>] [--limit <n>]
python3 {baseDir}/scripts/prediction_market_client.py polymarket candlesticks <condition_id> --start <unix_ts> --end <unix_ts> [--interval 1|60|1440]
python3 {baseDir}/scripts/prediction_market_client.py polymarket positions <wallet_address> [--limit <n>]
python3 {baseDir}/scripts/prediction_market_client.py polymarket wallet (--eoa <addr> | --proxy <addr>) [--with-metrics]
python3 {baseDir}/scripts/prediction_market_client.py polymarket pnl <wallet_address> --granularity <day|week|month>

Kalshi

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

Cross-Platform Sports

python3 {baseDir}/scripts/prediction_market_client.py sports matching (--polymarket-slug <slug> | --kalshi-ticker <ticker>)
python3 {baseDir}/scripts/prediction_market_client.py sports by-date <sport> --date <YYYY-MM-DD>

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.