0xApplication
Doesn't Take a Genius...
Python Example: Deploying an 0xArbitrage Agent
This example uses Python to interact with MIND's API for deploying a flash loan arbitrage agent.
import requests
# MIND API Endpoint
API_URL = "https://api.profitwithmind.com/deploy"
# Agent Configuration
agent_config = {
"name": "ArbitrageAgent",
"network": "Ethereum",
"parameters": {
"min_profit": 0.01, # Minimum profit percentage
"max_gas_fee": 20, # Maximum gas fee in Gwei
"target_pairs": ["ETH/USDC", "DAI/USDT"], # Trading pairs
},
"auth_key": "your_authorization_key_here"
}
def deploy_agent(config):
try:
response = requests.post(API_URL, json=config)
if response.status_code == 200:
print("Agent deployed successfully!")
print("Agent ID:", response.json()["agent_id"])
else:
print("Deployment failed:", response.json()["error"])
except Exception as e:
print("Error:", str(e))
# Deploy the agent
deploy_agent(agent_config)Rust Example: Deploying a Mining Agent
This example shows how to deploy a Proof-of-Work (PoW) mining agent using Rust and WebAssembly.
How These Examples Work
Python: Uses the
requestslibrary to send a POST request with the agent’s configuration to MIND’s deployment API.Rust: Utilizes
reqwestfor HTTP requests andserde_jsonto format the agent’s parameters. The Rust implementation ensures low-latency execution and enterprise-grade reliability.
Both examples can be customized for your use case by modifying parameters like network, profit thresholds, or hash rate. Replace "your_authorization_key_here" with your actual API key provided by MIND.
With these simple code snippets, developers can quickly understand how to interact with MIND’s powerful infrastructure to deploy and manage their agents.
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