Purple Flea + E2B Sandboxes

from e2b_code_interpreter import Sandbox import os sandbox = Sandbox() # Install Purple Flea SDK inside sandbox sandbox.commands.run("pip install purpleflea") # Run crypto operations in isolation code = """ import purpleflea as pf client = pf.Client(api_key="YOUR_API_KEY") # Get BTC price price = client.trading.get_price("BTC") print(f"BTC: ${price['price']:,.2f}") # Check wallet balance balance = client.wallet.get_balance() print(f"Balance: {balance}") """ result = sandbox.run_code(code) print(result.text) sandbox.kill()

from e2b_code_interpreter import Sandbox sandbox = Sandbox() sandbox.commands.run("pip install purpleflea pandas numpy") backtest_code = """ import purpleflea as pf import pandas as pd import numpy as np client = pf.Client(api_key="YOUR_API_KEY") # Fetch OHLCV data candles = client.trading.get_candles("BTC", "1h", limit=500) df = pd.DataFrame(candles) df['sma20'] = df['close'].rolling(20).mean() df['sma50'] = df['close'].rolling(50).mean() # Simple SMA crossover signal df['signal'] = np.where(df['sma20'] > df['sma50'], 1, -1) df['returns'] = df['close'].pct_change() * df['signal'].shift(1) total_return = (1 + df['returns'].dropna()).prod() - 1 sharpe = df['returns'].mean() / df['returns'].std() * np.sqrt(8760) print(f"Total Return: {total_return:.1%}") print(f"Sharpe Ratio: {sharpe:.2f}") """ result = sandbox.run_code(backtest_code) print(result.text) sandbox.kill()

import purpleflea as pf from e2b_code_interpreter import Sandbox client = pf.Client(api_key="YOUR_API_KEY") # Step 1: Accept escrow payment from client agent escrow = client.escrow.create( amount="0.01", description="Run backtest on BTC strategy" ) print(f"Escrow created: {escrow['id']}") # Step 2: Execute the task in E2B sandbox sandbox = Sandbox() sandbox.commands.run("pip install purpleflea pandas") result = sandbox.run_code(backtest_code) sandbox.kill() # Step 3: Deliver results and release payment client.escrow.release( escrow_id=escrow['id'], proof=result.text[:500] ) print("Payment released. Service complete.")

import purpleflea as pf client = pf.Client(api_key="YOUR_API_KEY") # 1. New agent claims faucet to bootstrap faucet = client.faucet.claim() print(f"Claimed: {faucet['amount']} credits") # 2. Agent plays casino to grow balance result = client.casino.play_dice( bet_amount="0.001", target=50, direction="over" ) print(f"Dice: {result['roll']} | Won: {result['won']}") # 3. Agent trades to compound gains if result['won']: trade = client.trading.open_trade( symbol="BTC", side="long", size="0.01", leverage=5 ) print(f"Trade opened: {trade['position_id']}") # 4. Register domain with profits domain = client.domains.register( domain="my-agent.ai", years=1 ) print(f"Domain: {domain['domain']} registered")