Kalshi Markets & Odds API — live prediction market data

Get clean, normalized Kalshi prediction-market data — every open market with live quotes, implied probabilities, volumes, liquidity and open interest — as a ready-to-use dataset. No API key, no auth, no setup.

Kalshi's raw API is powerful but full of traps: prices arrive as strings, the /markets endpoint is flooded with hundreds of thousands of multivariate parlay combos without quotes, and half the fields need decoding. This Actor is the plumbing done right, so you can build on top of the data instead of fighting it.

What you get

Each row is one market, flat and typed:

Field	Description
ticker, event_ticker	Kalshi identifiers
title, subtitle, category	Event title + market sub-title (e.g. candidate, threshold)
yes_ask, yes_bid, no_ask, no_bid, last_price	Live prices as floats (dollars, 0–1)
implied_prob_pct	Implied probability of YES (yes_ask × 100)
spread	yes_ask − yes_bid
quoted	True when the market has live two-sided quotes
volume_24h, liquidity, open_interest	Activity metrics
close_time, url	When it closes + direct Kalshi link

Why this Actor

• Parlays filtered out — multivariate combo markets (no standalone quotes) are excluded, leaving only real, tradeable markets.
• Quotes guaranteed two-sided — by default every row has a live yes ask and no ask strictly between 0 and 1.
• Clean flat schema — prices parsed to floats, volumes to integers; no string-decoding on your side.
• MCP-ready — output schema included, so AI agents can consume this Actor programmatically.

Modes

• All quoted markets (default) — the full live snapshot, sorted by 24h volume.
• Search — case-insensitive match on title + subtitle (searchQuery: "bitcoin", "fed decision", "premier league").
• Closing soon — only markets closing within closingWithinHours (default 24) — useful for expiry plays and monitoring.

Filters: minVolume24h, minLiquidity, maxResults, maxPages (each page ≈ 200 events).

Use cases

• Dashboards — live odds boards for politics, sports, economics, weather
• Bots & alerts — feed a trading or notification pipeline on a schedule
• Research — snapshot market-implied probabilities over time
• Arbitrage tooling — pair it with my Polymarket × Kalshi Arbitrage Scanner to hunt cross-platform mispricings

Honest notes

• This is public market data; prices move fast — schedule frequent runs if freshness matters.
• Kalshi's public events endpoint currently reports liquidity as 0 for all markets — judge executability by volume_24h, open_interest and spread instead. The field stays in the schema in case Kalshi starts populating it.
• Prices are order-book asks/bids at fetch time, not guaranteed fills.
• Not financial advice.

Pricing

Pay-per-event: a small flat fee per fetch run plus a tiny per-row fee. You only pay for the data you get.