Microproduct data guideintermediate

Kalshi Public Market Data

Live and historical event-contract markets, prices, volume, and order books for building market monitors, alerts, and comparison tools.

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At a glance

Difficulty
Intermediate — some data preparation helps
Size
Medium · ≤1 GB
Formats
JSON, API
Access
API
API key
Not required
Provider
Kalshi
Updates
Continuous
Data terms
Kalshi API Developer Agreement

From source to product signal

Test a product idea in four steps

Kalshi exposes public event, market, trade, and order-book data without authentication. Start with one bounded page of open markets and record when you retrieved it. Treat prices as changing market signals, and compare contracts only after checking that their resolution rules match.

1

Check the setup

  • Python 3.10 or newer
  • A notebook environment such as Jupyter or Google Colab
  • An internet connection
2

Access the data

  1. 1.Read the market-data quick start and API Developer Agreement.
  2. 2.Request one bounded page of open markets from the public REST API.
  3. 3.Save the retrieval time and the market tickers used in your analysis.
Open official source
3

Run the Python example

Install the packages, then run the notebook cell.

python -m pip install pandas requests

from datetime import datetime, timezone
import pandas as pd
import requests

response = requests.get(
    "https://external-api.kalshi.com/trade-api/v2/markets",
    params={"limit": 100, "status": "open"},
    timeout=30,
)
response.raise_for_status()
markets = pd.json_normalize(response.json()["markets"])
markets["retrieved_at"] = datetime.now(timezone.utc)
print(markets[["ticker", "title", "yes_bid_dollars", "volume_fp"]].head())
4

Test a useful signal

Find active markets worth monitoring

Identify liquid open markets whose price changes could support a useful event alert.

  1. 01Convert price, volume, and liquidity fields to numeric values and inspect missing data.
  2. 02Rank markets by trading activity and flag large differences between bid and ask prices.
  3. 03Read the rules for the leading contracts and explain why their prices should not be treated as guaranteed probabilities.

Dataset details

Kalshi is a company source. Last verified 2026-08-11. Temporal coverage: current and historical markets.

Domains

Prediction MarketsFinanceCurrent Events

Data types

Event DataTime SeriesOrder Book

Tasks

Market MonitoringForecast EvaluationEvent Analysis

Geography

Global

Formats

JSONAPI

Provider

Kalshi

Data terms

Kalshi API Developer Agreement