API analytics and usage metrics in Rest API - Mini Project: Build & Apply

API Analytics and Usage Metrics

📖 Scenario: You work for a company that provides a public API. Your job is to analyze the usage data to understand how many times each API endpoint was called and by which users.

🎯 Goal: Build a simple program that processes API call logs stored in a dictionary, counts the number of calls per endpoint, and shows usage metrics per user.

📋 What You'll Learn

Create a dictionary with API call logs

Add a variable to hold a threshold for minimum calls

Use a loop to count calls per endpoint and per user

Print the final usage metrics

💡 Why This Matters

🌍 Real World

API providers often need to analyze usage data to improve performance and detect abuse.

💼 Career

Understanding API analytics is important for backend developers, data analysts, and product managers.

1

Create API call logs dictionary

Create a dictionary called api_calls with these exact entries: 'user1': ['/login', '/data', '/logout'], 'user2': ['/login', '/data', '/data'], 'user3': ['/login', '/logout']

Rest API

# Create the dictionary api_calls with the exact entries
# Your code here

Need a hint?

Use curly braces to create a dictionary. Keys are user names, values are lists of API endpoints called.

2

Add minimum call threshold

Create a variable called min_calls and set it to 2 to filter endpoints with at least 2 calls

Rest API

api_calls = {
    'user1': ['/login', '/data', '/logout'],
    'user2': ['/login', '/data', '/data'],
    'user3': ['/login', '/logout']
}
# Create min_calls variable and set it to 2
# Your code here

Need a hint?

Just create a variable and assign the number 2 to it.

3

Count calls per endpoint and per user

Create two empty dictionaries called endpoint_counts and user_counts. Then use a for loop with variables user and calls to iterate over api_calls.items(). Inside, use another for loop with variable endpoint to iterate over calls. Increment counts in both dictionaries accordingly.

Rest API

api_calls = {
    'user1': ['/login', '/data', '/logout'],
    'user2': ['/login', '/data', '/data'],
    'user3': ['/login', '/logout']
}
min_calls = 2
# Create endpoint_counts and user_counts dictionaries
# Use nested loops to count calls
# Your code here

Need a hint?

Use dict.get(key, 0) to safely increment counts. Remember to count total calls per user and per endpoint.

4

Print usage metrics filtered by threshold

Use a for loop with variables endpoint and count to iterate over endpoint_counts.items(). Inside the loop, use an if statement to check if count is greater than or equal to min_calls. If yes, print the message f"Endpoint {endpoint} was called {count} times". Then print the user_counts dictionary.

Rest API

api_calls = {
    'user1': ['/login', '/data', '/logout'],
    'user2': ['/login', '/data', '/data'],
    'user3': ['/login', '/logout']
}
min_calls = 2
endpoint_counts = {}
user_counts = {}
for user, calls in api_calls.items():
    user_counts[user] = user_counts.get(user, 0) + len(calls)
    for endpoint in calls:
        endpoint_counts[endpoint] = endpoint_counts.get(endpoint, 0) + 1
# Print endpoints with calls >= min_calls
# Print user_counts dictionary
# Your code here

Need a hint?

Use a loop and an if condition to filter and print. Then print the user_counts dictionary as is.