💰Revenue Models

Monetizing AI agents on Capx is a key feature that empowers developers to generate revenue from their creations. Capx provides various revenue models, including subscription-based services, one-time payments, paywalls, and freemium models. This section will guide you through the available revenue models and provide Python code examples to enable monetization.

---

1. Subscription-Based Services

Subscription-based services allow users to pay a recurring fee to access an AI agent. This model is ideal for services that provide ongoing value, such as virtual assistants, customer support bots, and financial advisors.

How It Works:

• Users subscribe to the AI agent by paying a monthly, quarterly, or annual fee.

• The AI agent provides continuous access and support to subscribed users.

Python Code Example:

from capx_sdk import CapxAgent, Monetization

# Initialize the AI agent
agent = CapxAgent(name="VirtualAssistant")

# Define the subscription plan
subscription_plan = Monetization.create_subscription_plan(
    name="Monthly Plan",
    price=10.0,  # Price in Capx tokens
    duration=30  # Duration in days
)

# Enable the subscription model for the AI agent
agent.enable_monetization(subscription_plan)

# Define a function to handle user subscriptions
def handle_subscription(user):
    if agent.is_subscribed(user):
        return "Welcome back! How can I assist you today?"
    else:
        return "Please subscribe to access this service."

# Set the response function for user interactions
agent.on_message("greeting", handle_subscription)

# Deploy the AI agent
agent.deploy()

---

2. One-Time Payments

One-time payments are suitable for services that offer single-use value or pay-per-use functionality. This model is ideal for tasks such as document generation, content creation, and personalized recommendations.

How It Works:

• Users make a one-time payment to access the AI agent's service.

• The AI agent provides the requested service upon payment.

Python Code Example:

from capx_sdk import CapxAgent, Monetization

# Initialize the AI agent
agent = CapxAgent(name="ContentCreator")

# Define the one-time payment plan
one_time_payment = Monetization.create_one_time_payment(
    name="Document Generation",
    price=5.0  # Price in Capx tokens
)

# Enable the one-time payment model for the AI agent
agent.enable_monetization(one_time_payment)

# Define a function to handle user payments
def handle_payment(user, request):
    if agent.has_paid(user, one_time_payment):
        return f"Generating document for your request: {request}"
    else:
        return "Please make a payment to access this service."

# Set the response function for user requests
agent.on_message("generate_document", handle_payment)

# Deploy the AI agent
agent.deploy()

---

3. Paywalls

Paywalls restrict access to premium content or features until the user makes a payment. This model is commonly used in content platforms, educational tools, and exclusive services.

How It Works:

• Users are required to make a payment to unlock access to premium content or features.

• The AI agent checks for payment before providing access.

Python Code Example:

from capx_sdk import CapxAgent, Monetization

# Initialize the AI agent
agent = CapxAgent(name="PremiumTutor")

# Define the paywall
paywall = Monetization.create_paywall(
    name="Premium Content",
    price=15.0  # Price in Capx tokens
)

# Enable the paywall for the AI agent
agent.enable_monetization(paywall)

# Define a function to handle access to premium content
def handle_premium_content(user):
    if agent.has_paid(user, paywall):
        return "Here is your premium content!"
    else:
        return "Please pay to access this premium content."

# Set the response function for user requests
agent.on_message("access_premium", handle_premium_content)

# Deploy the AI agent
agent.deploy()

---

4. Freemium Models

Freemium models offer basic services for free while charging for advanced features. This model is ideal for attracting a large user base and converting free users into paying customers.

How It Works:

• Basic features are available for free to all users.

• Advanced features are locked behind a payment or subscription.

Python Code Example:

from capx_sdk import CapxAgent, Monetization

# Initialize the AI agent
agent = CapxAgent(name="FreemiumFitnessCoach")

# Define the premium subscription plan
premium_plan = Monetization.create_subscription_plan(
    name="Premium Plan",
    price=20.0,  # Price in Capx tokens
    duration=30  # Duration in days
)

# Enable the premium subscription model for the AI agent
agent.enable_monetization(premium_plan)

# Define functions for basic and premium features
def basic_feature(user):
    return "Here is your basic workout plan!"

def premium_feature(user):
    if agent.is_subscribed(user):
        return "Here is your premium workout plan with personalized coaching!"
    else:
        return "Please subscribe to access premium features."

# Set the response functions for user interactions
agent.on_message("basic_workout", basic_feature)
agent.on_message("premium_workout", premium_feature)

# Deploy the AI agent
agent.deploy()

---

Monetizing AI agents on Capx is straightforward and flexible, allowing developers to choose the model that best fits their service. By implementing subscription-based services, one-time payments, paywalls, or freemium models, developers can effectively generate revenue and sustain their AI projects. The provided Python code examples illustrate how easy it is to enable monetization for your AI agents using the Capx platform. Let's get started and unlock the full potential of your AI creations!