Kalshi — Prediction Markets

Before writing queries, consult references/api-reference.md for sport codes, series tickers, and command parameters.

Quick Start

Prefer the CLI — it avoids Python import path issues:

bash
sports-skills kalshi search_markets --sport=nba
sports-skills kalshi get_todays_events --sport=nba
sports-skills kalshi get_sports_config
sports-skills kalshi get_markets --series_ticker=KXNBA --status=open

Python SDK (alternative):

python
from sports_skills import kalshi

kalshi.search_markets(sport='nba')
kalshi.search_markets(sport='nba', query='Lakers')
kalshi.get_todays_events(sport='nba')
kalshi.get_sports_config()
kalshi.get_markets(series_ticker="KXNBA", status="open")

CRITICAL: Before Any Query

CRITICAL: Before calling any market endpoint, verify:

• The sport parameter is always passed to search_markets and get_todays_events for single-game markets.
• Prices are on a 0-100 integer scale (20 = 20% implied probability) — do not treat as American odds.
• status="open" is used when querying markets to exclude settled/closed markets.

Without the sport parameter:

WRONG: search_markets(query="Leeds")           → 0 results
RIGHT: search_markets(sport='epl', query='Leeds') → returns all Leeds markets

Important Notes

• On Kalshi, "Football" = NFL. For football/soccer (EPL, La Liga, etc.), use sport codes: epl, ucl, laliga, bundesliga, seriea, ligue1, mls, worldcup.
• Prices are probabilities. A last_price of 20 means 20% implied probability. Scale is 0-100 (not 0-1 like Polymarket).
• Always use status="open" when querying markets, otherwise results include settled/closed markets.
• Shared interface with Polymarket: search_markets(sport=...), get_todays_events(sport=...), and get_sports_config() work the same way on both platforms.

Workflows

Sport Market Search (Recommended)

1. search_markets --sport=nba — finds all open NBA markets.
2. Optionally add --query="Lakers" to filter by keyword.
3. Results include yes_bid, no_bid, volume for each market.

Today's Events

1. get_todays_events --sport=nba — open events with nested markets.
2. Present events with prices (price = implied probability, 0-100 scale).

Futures Market Check

1. get_markets --series_ticker=<ticker> --status=open
2. Sort by last_price descending.
3. Present top contenders with probability and volume.

Market Price History

1. Get market ticker from search_markets --sport=nba.
2. get_market_candlesticks --series_ticker=<s> --ticker=<t> --start_ts=<start> --end_ts=<end> --period_interval=60
3. Present OHLC with volume.

Commands

See references/api-reference.md for the full command list with parameters.

| Command | Description | |---|---| | get_sports_config | Available sport codes and series tickers | | get_todays_events | Today's events for a sport with nested markets | | search_markets | Find markets by sport and/or keyword | | get_esports_odds | Esports markets (cs2/lol/dota2): prices in cents (0-100) plus implied_probability (0-1) and decimal_odds | | get_markets | Market listing (raw API) | | get_event | Event details | | get_market | Market details | | get_trades | Recent trades | | get_market_candlesticks | OHLC price history |

Examples

Example 1: NBA market search User says: "What NBA markets are on Kalshi?" Actions:

1. Call search_markets(sport='nba')

Result: All open NBA markets with yes/no prices and volume

Example 2: EPL game markets User says: "Show me Leeds vs Man City odds on Kalshi" Actions:

1. Call search_markets(sport='epl', query='Leeds')

Result: Leeds EPL markets across all EPL series with prices and volume

Example 3: Today's EPL events User says: "What EPL games are available on Kalshi?" Actions:

1. Call get_todays_events(sport='epl')

Result: Today's EPL events with nested markets

Example 4: Champions League futures User says: "Who will win the Champions League?" Actions:

1. Call search_markets(sport='ucl') or get_markets(series_ticker="KXUCL", status="open")
2. Sort by last_price descending (price = implied probability)

Result: Top UCL contenders with yes_sub_title, last_price (%), and volume

Example 5: Market price history User says: "Show me the price history for this NBA game" Actions:

1. Get market ticker from search_markets(sport='nba')
2. Call get_market_candlesticks(series_ticker="KXNBA", ticker="...", start_ts=..., end_ts=..., period_interval=60)

Result: OHLC price data with volume

Commands that DO NOT exist — never call these

• ~~get_odds~~ — does not exist. Use search_markets or get_markets to find market prices.
• ~~get_team_schedule~~ — does not exist. Kalshi has markets, not schedules. Use the sport-specific skill for schedules.
• ~~get_scores~~ / ~~get_results~~ — does not exist. Kalshi is a prediction market. Use the sport-specific skill.

If a command is not listed in references/api-reference.md, it does not exist.

Troubleshooting

Error: search_markets returns 0 results Cause: The sport parameter is missing — without it, search only returns high-volume futures and misses single-game markets Solution: Always pass sport='<code>' to search_markets. Check references/api-reference.md for valid sport codes

Error: Markets returned include settled/expired contracts Cause: status parameter is not set Solution: Always pass status="open" to filter to open markets only

Error: Series ticker returns no results Cause: The series ticker may be incorrect or have no open markets Solution: Call get_series_list() to discover available tickers, or check references/series-tickers.md

Error: Football/soccer markets not found when searching "Football" Cause: On Kalshi, "Football" refers to NFL — soccer uses league-specific codes Solution: Use sport='epl', sport='ucl', sport='laliga', etc. for soccer leagues