dev.clore.ai
  • Getting Started
  • Introduction to Clore API
    • API Key Management
    • Transaction Processing with Clore Coin
    • RESTful Protocols in Clore
  • Marketplace Automation and Resource Optimization
    • Automated Spot Price Adjustment for Cost Optimization
    • Automated Server Retrieval and Analysis
    • Spot Price Optimization
    • Predictive Market Analytics
  • Server Management and Configuration
    • Bulk Server Onboarding and Dynamic Pricing Configuration
  • Dynamic Pricing and Profit Maximization
    • Dynamic Pricing Adjustments Based on Server Profitability
    • Automated Price Adjustment Based on Market Demand
    • Automated Spot Rental Based on Price Thresholds
  • Rental Strategies and Arbitrage
  • Monitoring and Notifications
    • Automated Monitoring and Notification of Rental Status
    • Automated Alert System for Low Server Utilization
    • Automated Retrieval and Analysis of Available Servers on the Marketplace
  • Security and Compliance
  • UI Automation and Visualization
  • API Performance Optimization
  • Community Extensions and Integrations
  • Advanced Data Processing and Analysis
  • Scalability and Infrastructure Management
  • Machine Learning and AI Integrations
    • Integrating ML Models into Server Operations
  • Developer Tools and SDKs
    • Setting Up the Clore Developer Toolkit
    • Using Clore SDK for Rapid Prototyping
  • Billing, Accounting, and Financial Reporting
  • Workflow Automation and Scripting
  • Multi-Cloud and Hybrid Cloud Integrations
  • Security Monitoring and Incident Management
  • Blockchain Interactions and Smart Contracts
  • Resource Optimization and Cost-Saving Techniques
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  1. Monitoring and Notifications

Automated Retrieval and Analysis of Available Servers on the Marketplace

Objective: This example demonstrates how to use Clore's marketplace API endpoint to automate the retrieval of available servers. It includes filtering server options based on user-defined specifications, such as GPU type, minimum RAM, and price range, making it ideal for users who want to dynamically select suitable servers from the marketplace.

Step 1: Fetch the List of Available Servers

The code below demonstrates how to retrieve and filter the list of available servers based on certain parameters, such as GPU model, minimum RAM, and a maximum price in USD.

import requests

# Set user-defined filter parameters
min_ram = 16  # Minimum RAM in GB
max_price_usd = 0.005  # Maximum price per day in USD
gpu_model = 'GeForce GTX 1080 Ti'  # Desired GPU model

# API endpoint for the marketplace
url = 'https://api.clore.ai/v1/marketplace'
headers = {
    'Authorization': 'Bearer YOUR_API_KEY'
}

# Retrieve list of servers on the marketplace
response = requests.get(url, headers=headers)

if response.status_code == 200:
    servers = response.json().get('servers', [])
    
    # Filter servers by user-defined criteria
    filtered_servers = [
        server for server in servers 
        if server['specs']['ram'] >= min_ram and 
           server['price']['on_demand']['usd'] <= max_price_usd and 
           gpu_model in server['specs']['gpu']
    ]
else:
    print(f"Error {response.status_code}: {response.text}")
    filtered_servers = []

print(f"Found {len(filtered_servers)} servers that match the filters.")

Step 2: Analyze the Filtered Servers

With the filtered list, we can analyze specific attributes, such as server pricing and specifications, to help users make informed decisions.

# Display the filtered servers with relevant information
for server in filtered_servers:
    print(f"Server Name: {server['specs']['name']}")
    print(f"RAM: {server['specs']['ram']} GB")
    print(f"GPU: {server['specs']['gpu']}")
    print(f"Price per Day: {server['price']['on_demand']['usd']} USD")
    print(f"Maximum Rental Duration: {server['mrl']} hours\n")

Step 3: Automate Server Selection

Using the filtered list, select the most suitable server based on additional criteria, such as availability for immediate rental, and proceed with the rental request. If the first server is not available, the script will attempt to select the next server.

def select_server_for_rental(servers):
    # Example logic to select the best server for rental
    for server in servers:
        if server['availability']:
            return server
    return None

selected_server = select_server_for_rental(filtered_servers)
if selected_server:
    print(f"Selected server for rental: {selected_server['specs']['name']}")
else:
    print("No available servers meet the criteria.")

Summary

This example showcases a structured approach to:

  1. Retrieve and filter available servers from the Clore marketplace based on user-defined criteria.

  2. Analyze and select a suitable server for rental.

  3. Prepare for automated execution by looping through available servers if the preferred server is not immediately rentable.

This example lays the groundwork for more complex automated server selection and rental processes, making it useful for users who rely on Clore's marketplace for dynamic and consistent computing resources.

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Last updated 6 months ago