🤖 The Universal Crypto API
for AI Agents

# LangChain Tool for Universal Crypto Access from langchain.tools import BaseTool import requests class TheCMXTool(BaseTool): name = "crypto_universal_access" description = "Access any crypto service with universal API" def _run(self, query: str) -> str: headers = {'X-Universal-Key': 'your_thecmx_key'} # Get Bitcoin price from Binance response = requests.get( 'https://thecmx.com/api/universal/binance/spot_price?symbol=BTCUSDT', headers=headers ) return f"BTC Price: ${response.json()['price']}" # Use in your LangChain agent agent = initialize_agent([TheCMXTool()], llm) result = agent.run("What's the current Bitcoin price?")

# AutoGPT Plugin for TheCMX class TheCMXPlugin(AutoGPTPlugin): def __init__(self): self.name = "TheCMX Universal Crypto API" self.api_key = os.getenv('THECMX_API_KEY') def get_crypto_data(self, exchange: str, symbol: str): """Get crypto data from any exchange""" url = f'https://thecmx.com/api/universal/{exchange}/spot_price' params = {'symbol': symbol} headers = {'X-Universal-Key': self.api_key} response = requests.get(url, params=params, headers=headers) return response.json() def analyze_portfolio(self, assets: list): """Analyze portfolio across multiple data sources""" portfolio_data = {} for asset in assets: # Get price from multiple exchanges portfolio_data[asset] = { 'binance': self.get_crypto_data('binance', asset), 'coinbase': self.get_crypto_data('coinbase', asset), # Get on-chain data 'nansen': self.get_onchain_data('nansen', asset) } return portfolio_data

# OpenClaw Skill for Universal Crypto Access from openclaw import skill import requests @skill("crypto_universal_access") def get_crypto_data(exchange: str, symbol: str, data_type: str = "price"): """ Universal crypto data access across 500+ APIs Args: exchange: Exchange or service name (binance, coingecko, nansen, etc.) symbol: Trading symbol or asset identifier data_type: Type of data (price, orderbook, sentiment, etc.) """ api_key = os.getenv('THECMX_API_KEY') headers = {'X-Universal-Key': api_key} if data_type == "price": url = f'https://thecmx.com/api/universal/{exchange}/spot_price' params = {'symbol': symbol} elif data_type == "sentiment": url = f'https://thecmx.com/api/universal/{exchange}/social_sentiment' params = {'asset': symbol} response = requests.get(url, params=params, headers=headers) return response.json() # Usage: Rich can call this skill naturally # "Get Bitcoin price from Binance" -> get_crypto_data("binance", "BTCUSDT")

# TheCMX Python SDK from thecmx import TheCMXClient # Initialize client client = TheCMXClient(api_key="your_universal_key") # Get prices from multiple exchanges btc_binance = client.get_price("binance", "BTCUSDT") btc_coinbase = client.get_price("coinbase", "BTC-USD") # Get premium analytics data wallet_data = client.get_wallet_labels("nansen", "0x123...") sentiment = client.get_social_sentiment("santiment", "bitcoin") # Multi-exchange arbitrage scanner class ArbitrageBot: def scan_opportunities(self): exchanges = ["binance", "coinbase", "kraken", "okx"] symbols = ["BTCUSDT", "ETHUSDT", "SOLUSDT"] opportunities = [] for symbol in symbols: prices = {} for exchange in exchanges: prices[exchange] = client.get_price(exchange, symbol) # Find arbitrage opportunities max_price = max(prices.values()) min_price = min(prices.values()) spread = (max_price - min_price) / min_price * 100 if spread > 0.5: # >0.5% spread opportunities.append({ 'symbol': symbol, 'spread': spread, 'prices': prices }) return opportunities