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kalshi-markets

Fetch Kalshi prediction market data via self-contained Python scripts.

1|Updated Jan 13, 2026
Search Tags:#data-analysis#events#orderbook#markets#kalshi#prediction-markets#trades
One-click install
npx skills add https://github.com/velcrafting/codex-skills --skill kalshi-markets-velcrafting
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: kalshi-markets
Source: https://github.com/velcrafting/codex-skills/tree/main/skills/kalshi/kalshi-markets
Command: npx skills add https://github.com/velcrafting/codex-skills --skill kalshi-markets-velcrafting

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires httpx, click, pandas, and includes scripts (resource) components.

What problem does it solve?

Kalshi Markets provides self-contained scripts that enable quick access to Kalshi market data, including market prices, orderbooks, trades, events, and series information, without needing a full runtime.

Core Features & Use Cases

  • Browse current markets, events, and series to understand market landscapes and trading activity.
  • Retrieve detailed market and event information to analyze prices, volumes, and liquidity.
  • Use Case: When asked about Kalshi markets or needs to search or analyze prediction market data, fetch structured data and concise summaries for decision support.

Quick Start

Run uv run markets.py to fetch current Kalshi markets data.

Frequently Asked Questions about kalshi-markets

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I fetch Kalshi prediction market data for analysis?▼

Retrieve Kalshi prediction market data by running the provided self-contained Python scripts, which fetch markets, events, series, and orderbooks directly for analysis.

What Kalshi market endpoints can I browse using Python?▼

Browse Kalshi markets, events, series, and orderbooks across multiple endpoints to analyze prices, volumes, and liquidity using self-contained Python scripts.

Do I need external dependencies to access Kalshi orderbook data?▼

No, you do not need external dependencies beyond the Python runtime. The scripts include embedded HTTP clients and operate independently to fetch orderbook data.

Can I get human-readable output when analyzing Kalshi trades?▼

Yes, the scripts offer both JSON and human-readable outputs for Kalshi trades, supporting both programmatic parsing and quick manual review of market data.

What is the best way to research Kalshi event series and trading activity?▼

Use self-contained scripts to retrieve detailed market and event information, providing structured data and concise summaries for decision support regarding Kalshi event series and trading activity.

Does this approach work with pandas for prediction market analysis?▼

Yes, it works with pandas for prediction market analysis. The scripts fetch structured data from Kalshi endpoints, which can then be processed using pandas for detailed data analysis.

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