coingecko-api
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.
- Installs
- 442
- Last 24h
- —
- Trending rank
- —
- Security
- Not audited
Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/agiprolabs/claude-trading-skills --skill coingecko-api- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads coingecko-api automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
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
resp = httpx.get("https://api.coingecko.com/api/v3/global")
g = resp.json()["data"]
print(f"Total Market Cap: ${g['total_market_cap']['usd']/1e12:.2f}T")
print(f"24h Volume: ${g['total_volume']['usd']/1e9:.0f}B")
print(f"BTC Dominance: {g['market_cap_percentage']['btc']:.1f}%")
print(f"Active Coins: {g['active_cryptocurrencies']:,}")
Trending Coins
import httpx
resp = httpx.get("https://api.coingecko.com/api/v3/search/trending")
for item in resp.json()["coins"]:
coin = item["item"]
print(f"#{coin['market_cap_rank'] or '?':>4} {coin['name']} ({coin['symbol']})")
Authentication
The free tier requires no API key (30 calls/min). For higher limits, get a Pro key from https://www.coingecko.com/en/api/pricing and set:
export COINGECKO_API_KEY="CG-xxxxxxxxxxxxxxxxxxxx"
Pro requests use a different base URL and header:
import os, httpx
API_KEY = os.getenv("COINGECKO_API_KEY", "")
if API_KEY:
BASE_URL = "https://pro-api.coingecko.com/api/v3"
HEADERS = {"x-cg-pro-api-key": API_KEY}
else:
BASE_URL = "https://api.coingecko.com/api/v3"
HEADERS = {}
Rate Limiting
Free tier: 30 requests/min. Implement backoff on 429 responses:
import time, httpx
def cg_get(url: str, params: dict, max_retries: int = 3) -> dict:
"""GET with retry on rate limit."""
for attempt in range(max_retries):
resp = httpx.get(url, params=params, headers=HEADERS, timeout=15.0)
if resp.status_code == 429:
wait = 2 ** attempt * 10
print(f"Rate limited, waiting {wait}s...")
time.sleep(wait)
continue
resp.raise_for_status()
return resp.json()
raise RuntimeError("Max retries exceeded")
Finding CoinGecko Token IDs
CoinGecko uses slug-style IDs (e.g., solana, bitcoin, usd-coin). To find
an ID from a contract address or name, see references/id_mapping.md.
Quick lookup by contract address (useful for Solana tokens):
import httpx
# Look up by Solana contract address
contract = "So11111111111111111111111111111111111111112"
resp = httpx.get(
"https://api.coingecko.com/api/v3/coins/solana/contract/"
+ contract
)
coin = resp.json()
print(f"ID: {coin['id']}, Name: {coin['name']}")
Key Limitations
- No real-time data: Prices update every 1-2 minutes on free tier
- Limited Solana coverage: Many newer Solana tokens are not listed
- OHLC granularity: Only 1/7/14/30/90/180/365 day windows, candle size
depends on the window (see
references/endpoints.md) - Historical gaps: Some tokens have missing data for early periods
- Free tier throttling: 30 req/min means batch operations need careful pacing
See references/data_quality.md for detailed notes on data gaps and tier differences.
Files
References
references/endpoints.md— Complete endpoint reference with parameters, response schemas, and rate limitsreferences/id_mapping.md— How to find CoinGecko IDs for tokens, contract address mapping, search tipsreferences/data_quality.md— Data quality notes, historical gaps, free vs pro tier differences
Scripts
scripts/fetch_market_data.py— Fetch top coins, trending tokens, and global stats (supports--demomode)scripts/historical_analysis.py— Fetch historical OHLCV data and compute returns, volatility, drawdown (supports--demomode)
FAQ
What does the coingecko-api skill do?
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.
How do I install coingecko-api?
Run npx skills add https://github.com/agiprolabs/claude-trading-skills --skill coingecko-api in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/coingecko-api/ (personal) or .claude/skills/coingecko-api/ (project).
Which AI agents can use coingecko-api?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is coingecko-api safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains coingecko-api?
It is published by agiprolabs in agiprolabs/claude-trading-skills. It has 442 recorded installs.
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