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coingecko-api

Retrieve cryptocurrency market data from the CoinGecko API.

266|54|Updated Mar 11, 2026
Search Tags:#api#market data#crypto#coingecko#historical prices#token data
One-click install
npx skills add https://github.com/agiprolabs/claude-trading-skills --skill coingecko-api
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: coingecko-api
Source: https://github.com/agiprolabs/claude-trading-skills/tree/main/skills/coingecko-api
Command: npx skills add https://github.com/agiprolabs/claude-trading-skills --skill coingecko-api

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides access to comprehensive cryptocurrency market data, enabling users to retrieve historical prices, market statistics, and trending token information without needing to manually interact with the CoinGecko API.

Core Features & Use Cases

  • Historical Data: Fetch daily OHLCV data for in-depth analysis.
  • Market Statistics: Access global market cap, volume, and coin rankings.
  • Token Discovery: Identify trending coins and research token details.
  • Use Case: Analyze the 90-day price history of Solana (SOL) to understand its volatility and identify key support/resistance levels for trading decisions.

Quick Start

Get the current USD price for Solana, Bitcoin, and Ethereum, including their 24-hour change.

Frequently Asked Questions about coingecko-api

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

FAQPage Schema
How do I retrieve cryptocurrency historical prices and market data for analysis?▼

You retrieve cryptocurrency historical prices by fetching daily OHLCV data and global market statistics from the CoinGecko API. This provides long-term historical data across over 13,000 tokens, enabling in-depth macro analysis and volatility tracking.

Can I use pandas and numpy to analyze crypto market statistics fetched from CoinGecko?▼

Yes, you can use pandas and numpy to analyze crypto market statistics. The Skill relies on these dependencies to process broad cryptocurrency market data, including global market cap, exchange volumes, and token rankings retrieved via httpx.

What is the best way to discover trending crypto tokens and research token details?▼

The best way to discover trending crypto tokens is to query the CoinGecko API for trending coin data. This identifies actively trending coins and retrieves detailed token information across multiple categories without manual API interaction.

Does CoinGecko API market data support fetching global statistics for over 13,000 tokens?▼

Yes, CoinGecko API market data supports fetching global statistics for over 13,000 tokens. It provides comprehensive market cap data, trading volumes, and historical prices across multiple cryptocurrencies and categories for broad macro analysis.

What are the limitations when fetching historical price data for cryptocurrency tokens?▼

A limitation when fetching historical price data is that this Skill is designed for broad macro analysis and long-term historical data. It is ideal for accessing daily OHLCV data across multiple cryptocurrencies rather than executing high-frequency trading strategies.

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