coingecko-api Checked

Broad crypto market data from CoinGecko covering 13,000+ tokens. Global market stats, historical price data going back years, exchange volumes, trending tokens, and category filters. Best for macro analysis and long-term historical data.

CoinGecko API Skill

Query the CoinGecko API for comprehensive crypto market data — prices, historical

charts, exchange volumes, trending tokens, global stats, and category breakdowns.

The free tier requires no API key and supports 30 calls/min.

Broad crypto market data from CoinGecko covering 13,000+ tokens. Global market stats, historical price data going back years, exchange volumes, trending tokens, and category filters. Best for macro analysis and long-term historical data.

CoinGecko API Skill

Query the CoinGecko API for comprehensive crypto market data — prices, historical

charts, exchange volumes, trending tokens, global stats, and category breakdowns.

The free tier requires no API key and supports 30 calls/min.

When to Use This Skill

• **Macro analysis**: Global market cap, BTC dominance, total volume trends
• **Historical data**: Daily/hourly OHLCV going back years (not minutes-level)
• **Cross-exchange comparisons**: Exchange volume rankings and trust scores
• **Trending/discovery**: What tokens are trending on CoinGecko in the last 24h
• **Category analysis**: Compare DeFi vs L1 vs meme coin market caps
• **Token research**: Full metadata including links, description, community stats

Use **Birdeye** or **DexScreener** instead for real-time Solana DEX data, new token

launches, or sub-daily granularity on Solana tokens.

Quick Start

### Get Current Prices

import httpx

# No API key needed for free tier
resp = httpx.get(
    "https://api.coingecko.com/api/v3/simple/price",
    params={"ids": "solana,bitcoin,ethereum", "vs_currencies": "usd",
            "include_24hr_change": "true"},
)
data = resp.json()
for coin, info in data.items():
    print(f"{coin}: ${info['usd']:.2f} ({info['usd_24h_change']:+.1f}%)")

### Get Top Coins by Market Cap

import httpx

resp = httpx.get(
    "https://api.coingecko.com/api/v3/coins/markets",
    params={"vs_currency": "usd", "order": "market_cap_desc",
            "per_page": 10, "page": 1, "sparkline": "false"},
)
for coin in resp.json():
    print(f"{coin['symbol'].upper():>6}  ${coin['current_price']:>10,.2f}  "
          f"MCap: ${coin['market_cap']/1e9:.1f}B  "
          f"24h: {coin['price_change_percentage_24h']:+.1f}%")

### Get Historical Price Data

import httpx
import pandas as pd

resp = httpx.get(
    "https://api.coingecko.com/api/v3/coins/solana/market_chart",
    params={"vs_currency": "usd", "days": "90", "interval": "daily"},
)
data = resp.json()
df = pd.DataFrame(data["prices"], columns=["timestamp", "price"])
df["date"] = pd.to_datetime(df["timestamp"], unit="ms")
df = df.set_index("date").drop(columns=["timestamp"])
print(df.describe())

### Get OHLC Candle Data

import httpx

resp = httpx.get(
    "https://api.coingecko.com/api/v3/coins/solana/ohlc",
    params={"vs_currency": "usd", "days": "30"},
)
# Returns [[timestamp, open, high, low, close], ...]
candles = resp.json()
for c in candles[-5:]:
    print(f"  O={c[1]:.2f}  H={c[2]:.2f}  L={c[3]:.2f}  C={c[4]:.2f}")

### Global Market Stats

import httpx