Event and market monitoring
Usa los endpoints de Kalshi para convertir event and market monitoring en solicitudes API repetibles con inputs documentados y respuestas JSON.
Collect Kalshi events, markets, series, recent trades, order books, exchange schedule, and historical market candlesticks as normalized JSON for dashboards and research. Not investment advice or real-time trading data.
Extract Kalshi events, markets, series, trades, order books, and historical market data as structured JSON from credential-free public exchange data.
Familias de endpoints
6
Parámetros documentados
84
Ejemplos
21
Snapshot en vivo del catálogo
Endpoints activos
21
Métodos
GET
Parámetros obligatorios
32
Referencias de esquema
21
{
"platform": "Kalshi",
"endpoint": "kalshi-events",
"method": "GET",
"path": "/kalshi/events",
"auth": "apiKey"
}Casos de uso relacionados
Casos de uso
Extract Kalshi events, markets, series, trades, order books, and historical market data as structured JSON from credential-free public exchange data.
Usa los endpoints de Kalshi para convertir event and market monitoring en solicitudes API repetibles con inputs documentados y respuestas JSON.
Usa los endpoints de Kalshi para convertir order book and trade research en solicitudes API repetibles con inputs documentados y respuestas JSON.
Usa los endpoints de Kalshi para convertir historical market data collection en solicitudes API repetibles con inputs documentados y respuestas JSON.
Ejecución gestionada
Cada cifra de abajo se lee directamente del catálogo de endpoints en vivo de Kalshi — 21 endpoints, 84 parámetros de solicitud documentados y 21 esquemas de respuesta publicados — el mismo catálogo contra el que corren Docs y Playground.
21 documented Kalshi endpoints, grouped into 8 request families — Historical, Event and Market, plus 5 more.
84 request parameters are documented across those Kalshi endpoints, 32 of them required — the full input contract is public before you write any integration code.
21 of the 21 Kalshi endpoints ship a recorded example response, and 21 carry a documented response schema — you can code against the real JSON before the first request.
Kalshi endpoints document their error responses (400, 404, 429, 500 and 503) alongside the success schema, so a block, a rate limit, or a missing record comes back as a typed error rather than silently empty data.
21 hosted MCP tools back the Kalshi endpoints, so an agent can call the same routes with the same parameters and the same JSON contract, with no custom glue.
Mapa de cobertura
/kalshi/historical/markets
/kalshi/event/{event_ticker}
/kalshi/market/{ticker}
/kalshi/markets
/kalshi/events
/kalshi/exchange/status
Endpoints destacados
/kalshi/eventsLists Kalshi events, up to `limit` rows (default 25, max 200), continued with `cursor`. Filter by `series_ticker`, `category`, `status` (`open`, `closed` or `settled`), `min_close_ts` and `min_updated_ts`. `with_nested_markets` adds each event's markets. Each event has its ticker, title, category and strike period. A `cursor` is returned when more rows exist.
Notas de la respuesta
- `data.cursor` is present when Kalshi returns a next-page cursor. - Invalid `status`, `min_close_ts`, or `min_updated_ts` values return invalid-parameter errors before upstream IO.
Herramienta MCP kalshi_events
/kalshi/event/{event_ticker}Returns one Kalshi event by `event_ticker` (such as `KXELONMARS-99`) together with its markets. The event has its series ticker, title, subtitle, category, strike period and mutually-exclusive flag; each market has prices, bid and ask, volume, open interest, status and rules. An unknown ticker returns a not-found error.
Notas de la respuesta
- Invalid or empty event tickers return invalid-parameter errors before upstream IO. - Missing upstream events return not-found errors.
Herramienta MCP kalshi_event
/kalshi/marketsLists Kalshi markets, up to `limit` rows (default 25, max 200), continued with `cursor`. Filter by `event_ticker`, `series_ticker`, `ticker`, or `status` (`unopened`, `open`, `closed` or `settled`). Each market has its title, status, prices, bid and ask, volume, open interest and rules text. A returned status can read `active` even though the filter does not accept it.
Notas de la respuesta
- Invalid `status` values return invalid-parameter errors before upstream IO. - The upstream response status field can contain exchange lifecycle values such as `active`; the query `status` filter still only accepts `unopened`, `open`, `closed`, and `settled`. - This endpoint is not investment advice or real-time trading data.
Herramienta MCP kalshi_markets
/kalshi/market/{ticker}Returns one Kalshi market by `ticker` (such as `KXELONMARS-99`). The response has the title, subtitle, event ticker, status, result, open, close and expiration times, last and previous price, yes and no bid and ask, volume, 24-hour volume, open interest, liquidity and rules text. An unknown ticker returns a not-found error.
Notas de la respuesta
- Invalid or empty market tickers return invalid-parameter errors before upstream IO. - Missing upstream markets return not-found errors. - This endpoint is not investment advice or real-time trading data.
Herramienta MCP kalshi_market
/kalshi/market/{ticker}/orderbookReturns the order book for one Kalshi market by `ticker`: bid levels for the `yes` side and the `no` side, each with `price` and `size`. Kalshi publishes bids only, so ask levels are not listed. The response also carries a `raw_unit_hint` for the price unit.
Notas de la respuesta
- Uses Kalshi's unauthenticated market orderbook JSON. - Kalshi returns bid levels for yes and no sides; no ask levels are returned directly.
Herramienta MCP kalshi_market_orderbook
/kalshi/tradesLists recent Kalshi trades, up to `limit` rows (default 25, max 200), continued with `cursor`. Filter by market `ticker` and by created time with `min_ts` and `max_ts` (Unix seconds, at most 366 days apart). Each trade has its id, count, yes and no price, taker side and created time.
Notas de la respuesta
- Trade prices are normalized from dollar fields such as `yes_price_dollars` and `no_price_dollars`. - `min_ts` must be before `max_ts` when both are provided, and timestamp ranges are capped at 366 days. - This endpoint is not investment advice or real-time trading data.
Herramienta MCP kalshi_trades
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Read the public navigation and reference material from DraftKings Predictions without confusing it for a market feed. The endpoints return category links, settlement-source references, and a region/status map; they do not return quotes, trades, balances, or trade-slip state.
Cómo hacer scraping de Kalshi
Kalshi is a regulated event exchange whose public market data is credential-free but split across live and historical services. Crawlora's 21 Kalshi endpoints return events, markets, series, order books, trades, schedules, and historical candlesticks as normalized JSON. Research data, not investment advice or a trading connection.
List events with a status of open, closed, or settled — optionally with nested markets — or list series and open one by its ticker.
Markets are addressed by ticker: market detail, order book, and trades all take it, and market lists filter by event or series ticker.
Market and event history take start and end timestamps with a period interval, and batch variants take several market tickers at once.
Exchange status and schedule tell you whether the exchange is open, and the historical-cutoff endpoint tells you how far back the historical services reach.
On 2026-10-30 /kalshi/event/KXELONMARS-99 returned one market, its history for the window 1704067200 to 1704153600 (one day, period_interval 1440) returned candlesticks for that market, and its metadata listed 17 settlement sources.
Agent Skills
Instala un agent skill de Crawlora y tu agente obtiene datos de Kalshi como JSON mediante la API documentada, sin escribir un scraper. Estos skills cubren Kalshi:
Compare public event forecasts across Crawlora Polymarket, Kalshi, and Metaculus tools. Use for a matched-question consensus brief or dated forecast…
npx skills add github.com/Crawlora-org/crawlora-skills --skill forecast-consensus-comparisonResearch prediction-market odds, order books, price history, and public market-rule context from Polymarket, Kalshi, Metaculus, and DraftKings…
npx skills add github.com/Crawlora-org/crawlora-skills --skill prediction-markets-researchPreguntas frecuentes
Kalshi publishes credential-free public market-data JSON, which is what these endpoints read. Crawlora is not affiliated with Kalshi and this is not a trading connection — it is read-only data behind one key with a consistent response shape.
The live set covers currently listed events, markets, order books, and trades. The historical set covers settled and archived markets, and the historical-cutoff endpoint tells you the boundary between them so you know which to query for a given date.
Market history takes a ticker with start and end timestamps and a period interval. The batch variant takes a list of market tickers, so you can chart every market in an event at once.
No. These endpoints are read-only market data for dashboards and research. Crawlora is not a broker or an investment adviser, and nothing here is investment advice.
Yes. Kalshi's official API assigns every new account its default Basic tier — 200 read / 100 write tokens per second — and reserves the higher Advanced through Prime tiers for accounts that clear a trailing 30-day trading-volume threshold or get manually upgraded by Kalshi. A research or dashboard use case with no trading volume has no self-serve path to a higher tier; these endpoints read the same public data behind one Crawlora key instead.