Crypto Staking API for AI Agents

# agent_staking_manager.py — autonomous yield on idle capital import requests, time from datetime import datetime, timedelta PURPLE_FLEA_API = "https://api.purpleflea.com/v1" API_KEY = "pf_your_key_here" class AgentStakingManager: def __init__(self, wallet_id: str): self.wallet_id = wallet_id self.session = requests.Session() self.session.headers["X-API-Key"] = API_KEY def get_apy_rates(self) -> dict: # Fetch current APY by asset r = self.session.get(f"{PURPLE_FLEA_API}/staking/apy") r.raise_for_status() return r.json()["rates"] def stake(self, asset: str, amount: float) -> dict: payload = { "wallet_id": self.wallet_id, "asset": asset, # "ETH", "SOL", "BNB", "MATIC" "amount": amount, "mode": "liquid", # "liquid" or "native" "auto_compound": True } r = self.session.post(f"{PURPLE_FLEA_API}/staking/stake", json=payload) r.raise_for_status() result = r.json() print(f"Staked {amount} {asset} at {result['apy']:.1f}% APY — position: {result['position_id']}") return result def collect_and_compound(self): # Get all positions with pending rewards r = self.session.get(f"{PURPLE_FLEA_API}/staking/rewards?wallet_id={self.wallet_id}") r.raise_for_status() rewards = r.json()["positions"] for pos in rewards: if pos["pending_rewards_usd"] > 1.0: # compound if > $1 compound_r = self.session.post( f"{PURPLE_FLEA_API}/staking/compound", json={"position_id": pos["position_id"]} ) compound_r.raise_for_status() print(f"Compounded ${pos['pending_rewards_usd']:.2f} on {pos['asset']} position") def rebalance_to_best_apy(self): # Move unstaked capital to highest-yield asset rates = self.get_apy_rates() best_asset = max(rates, key=lambda x: rates[x]["apy"]) best_apy = rates[best_asset]["apy"] # Check wallet balances balances_r = self.session.get(f"{PURPLE_FLEA_API}/wallet/balance?wallet_id={self.wallet_id}") balances = balances_r.json()["balances"] for asset_balance in balances: idle_amount = asset_balance["available_usd"] / asset_balance["price_usd"] if asset_balance["asset"] == best_asset and idle_amount > 10: self.stake(best_asset, idle_amount * 0.8) # stake 80% of idle print(f"Deployed idle {best_asset} at {best_apy:.1f}% APY") # Run the staking manager in a loop if __name__ == "__main__": manager = AgentStakingManager(wallet_id="wallet_abc123") while True: manager.collect_and_compound() manager.rebalance_to_best_apy() time.sleep(3600) # check hourly

# Example: LLM agent using MCP to manage staking from anthropic import Anthropic import anthropic.types as at client = Anthropic() mcp_server = "https://api.purpleflea.com/mcp" response = client.messages.create( model="claude-opus-4-6", max_tokens=4096, tools=[{ "type": "mcp", "server_url": mcp_server, "api_key": "pf_your_key" }], messages=[{ "role": "user", "content": "Check my staking rewards and compound anything over $5. Then stake 50% of my idle ETH balance at the best available rate." }] ) # Claude autonomously calls: check_staking_rewards, compound_rewards, stake_eth print(response.content[0].text)