How to Get Kalshi Market Data via API
Kalshi is a regulated US prediction market. Here's how to pull its implied odds programmatically and line them up against sportsbooks, with code examples and a free tier.
You can get Kalshi market data via API by using an odds aggregation service like SharpAPI. Sign up for a free account, generate an API key, and make a single REST call to get Kalshi implied probabilities normalized alongside 44+ sportsbooks and Polymarket. Kalshi's own trading API exists, but it is built for trading on Kalshi, one venue in its own schema. Most developers use an aggregator so Kalshi lines sit next to sportsbook odds in the same response, ready to compare.
Why Kalshi Market Data Matters
Kalshi is a CFTC-regulated prediction market where every contract price is a live implied probability. A contract that trades at 62 cents means the market prices that outcome at roughly 62 percent. Because Kalshi is an exchange driven by traders taking both sides, its prices are a second independent read on an event, separate from how sportsbooks set their lines.
For a developer building betting or trading tools, that independent read is the value. When Kalshi's implied probability diverges from the sportsbook consensus, that gap is a signal, and sometimes an arbitrage or positive expected value opportunity. To find it, you need Kalshi prices in the same format and the same call as your sportsbook data.
CFTC-regulated US exchange, contracts settle on real outcomes
Contract price is a direct probability, no vig to remove
Exchange-driven prices, a separate read from sportsbook lines
Your Options for Getting Kalshi Data
| Method | Requirements | Data | Best For |
|---|---|---|---|
| Kalshi Trading API | Kalshi account, API key auth, per-contract requests | Kalshi only, own schema | Trading on Kalshi directly |
| SharpAPI | Free sign-up, no Kalshi account needed | Kalshi + Polymarket + sportsbooks, one schema | Building odds, arbitrage, and EV tools |
| Web scraping | Proxy infrastructure, anti-bot bypass, ongoing maintenance | Kalshi only (fragile) | Not recommended |
Recommendation: If your goal is to trade on Kalshi, use Kalshi's own API. If your goal is to compare Kalshi against sportsbooks and other prediction markets, an aggregation API is the fastest path. You skip the per-venue integrations, the schema reconciliation, and the event-mapping work.
Step-by-Step: Get Kalshi Data in 5 Minutes
Create a free SharpAPI account
Sign up at sharpapi.io, no credit card required. You get 12 requests/minute immediately.
Generate an API key
Go to your API Keys dashboard and create a new key. Copy it for use in the Authorization header.
Install the SDK (optional)
npm install @sharp-api/sdk or pip install sharpapi. Or use plain HTTP with any language.
Request Kalshi implied odds
Pass sportsbook=kalshi to filter for Kalshi, or list it with sportsbooks to get everything in one response.
Code Examples
TypeScript (SDK)
const res = await fetch(
'https://api.sharpapi.io/api/v1/odds?sport=basketball&sportsbook=kalshi,pinnacle,draftkings&markets=h2h',
{ headers: { 'X-API-Key': process.env.SHARPAPI_KEY } },
)
const { data } = await res.json()
// One flat array. Each row carries its own sportsbook and implied probability.
for (const row of data) {
console.log(row.selection, row.sportsbook, row.odds_probability)
}Python (SDK)
import requests
res = requests.get(
"https://api.sharpapi.io/api/v1/odds",
params={"sport": "basketball", "sportsbook": "kalshi,pinnacle,draftkings", "markets": "h2h"},
headers={"X-API-Key": "YOUR_API_KEY"},
)
# One flat array. Each row carries its own sportsbook and implied probability.
for row in res.json()["data"]:
print(row["selection"], row["sportsbook"], row["odds_probability"])cURL (any language)
curl -X GET "https://api.sharpapi.io/api/v1/odds?sport=basketball&sportsbook=kalshi,pinnacle,draftkings&markets=h2h" \
-H "X-API-Key: YOUR_API_KEY" \
-H "Accept: application/json"Kalshi vs Sportsbook Consensus
The reason to normalize Kalshi alongside sportsbooks is to spot where they disagree. A Kalshi contract already states an implied probability directly. Convert a sportsbook line to its no-vig fair probability and you can compare the two on the same scale.
Worked Example: Prediction Market vs Sportsbook
Event: Team A to win
Kalshi contract: 58c -> implied 58.0%
Sportsbook fair odds: -122 -> no-vig 55.0%
Gap = 58.0% - 55.0% = 3.0%
The market and the books disagree by 3 points. Depending on
direction and price, that can be a +EV bet on one side or a
cross-venue arbitrage. SharpAPI flags the gap automatically.SharpAPI's +EV endpoint and arbitrage endpoint compute these gaps across Kalshi, Polymarket, and every covered sportsbook in real time, and can stream them over SSE.