Kalshi main lines, player props, and alternates — pulled directly, normalized against 200+ sportsbooks, delivered via Betstamp PRO odds screen or sportsbook API.
Market makers want an API to trade off. Pricing teams want JSON. Traders want a screen. Every Betstamp Kalshi feed ships in every form — same data, same refresh rate, same delivery SLA.
See Kalshi pricing side-by-side with 200+ books in the Betstamp PRO Odds Screen. Main lines, player props, and alternates — refreshed in real time and benchmarked against our True Line. The fastest way to find where Kalshi is off-market.
The Kalshi odds API for trading desks, market makers, risk teams, and algo platforms. Pre-match and live Kalshi odds via REST pull or SSE stream — structured JSON, normalized against 200+ other books.
/api/markets + SSE at /v1/marketsKalshi mains, props, and alternates — pre-game and in-play, normalized into the same schema as every other book in your trading system.
Moneylines, spreads, and totals from Kalshi — pre-match and in-play, normalized across leagues.
Kalshi player props with alternates — pre-match and in-play, normalized by player and market.
Kalshi game props surfaced alongside main lines and player props in the same normalized schema.
Alternate spreads, totals, and prop ladders from Kalshi — laddered alongside the main lines, pre-match and in-play.
Live Kalshi odds refreshed in real time — same normalized schema as pre-match, no separate integration.
Quarter, half, and full-game splits from Kalshi — each period available as its own queryable market.
If you can hit a REST endpoint, you can pull Kalshi odds. Three steps, no scraping, no captcha headaches, no IP rotation.
Request a demo, scope your usage, and we issue a key scoped to Kalshi plus any other books you need. Trial keys available for evaluation.
A single GET on /api/markets returns Kalshi markets for the league and periods you specify. Filter by bet_types, is_live, include_alts, and book_ids — same shape as the docs.
Connect to /v1/markets via Server-Sent Events to receive Kalshi line moves as they happen — one JSON object per data: message. No polling, no client-side queue.
# Pull NFL spread markets — Dallas @ Philadelphia, Dallas favored curl -H "X-API-KEY: $BETSTAMP_API_KEY" \ "https://api.pro.betstamp.com/api/markets?league=NFL&book_ids={book_id}&bet_types=spread&periods=FT" # Response (real schema, truncated) { "markets": [ { "id": "0192b4a1-8f13-7c2b-8629-aa3ef295e2f0", "odds": 1.91, "number": -3.5, "side": "DAL", "side_type": "Away", "bet_type": "Spread", "period": "FT", "league": "NFL", "is_alt": false, "is_live": false, "odd_provider_id": "{book_id}", "fixture_id": "01926d5e-819d-7b33-b7ff-bbe89e134958", "team_id": "0191b82a-3435-7e85-95d0-7b3be256709e", "provider_deeplink_string": "marketId=42.532828621&selectionId=50210" } ] }
Scraping Kalshi is a maintenance tax — captcha walls, IP bans, schema changes, and the constant risk of your scraper breaking the night before an NFL Sunday. We do that for you, at scale.
Running your own Kalshi scraping infrastructure means engineering headcount tied up in captcha rotation, IP rotation, schema patches, and on-call. Pulling Kalshi via Betstamp moves that cost off your payroll — your engineers spend their time on model work and edge research instead.
The Betstamp PRO Odds Screen ships with our True Line fair-value side-by-side with every Kalshi price, so traders don't have to compute consensus from scratch. CLV-tested across 5+ seasons.
The /api/markets endpoint takes a book_ids parameter — comma-separate Kalshi alongside Bet365, FanDuel, DraftKings, BetMGM, Caesars / William Hill, BetVictor, Ladbrokes, Betway, and any other book in your subscription. One call returns all of them in one normalized schema.
Player names, prop ladder alignment, line types, alternate sets, market grouping — all already normalized. Your model sees a consistent schema regardless of how Kalshi restructures markets.
Pull Kalshi into the PRO Odds Screen, the sportsbook API, or both — same pricing, same refresh rate, same normalized schema. Pick the delivery that fits your stack, switch later if it changes.
99.99% uptime SLA on the Kalshi feed. Slack channel with our trading desk. Schema changes upstream don't break your pipeline — we handle the maintenance.
Browse the books trading desks, market makers, and risk teams pull alongside Kalshi — or jump to the full list of 200+.