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Use Cases

Explore practical examples of how to use API Catalogs to enable AI applications to interact with various types of APIs.

Customer Support Automation

Enable AI assistants to access your customer support APIs for automated ticket management and customer inquiries.

Customer Support Scenario

Your support team uses a ticketing system with a REST API. You want AI applications to create, update, and query support tickets.

API Catalog Configuration

Catalog Name: Customer Support API

Specification Highlights:

paths:
/tickets:
get:
summary: List support tickets
parameters:
- name: status
description: Filter by status (open, pending, resolved)
- name: priority
description: Filter by priority (low, medium, high, urgent)
post:
summary: Create a new support ticket
requestBody:
content:
application/json:
schema:
properties:
subject:
type: string
description:
type: string
priority:
type: string
/tickets/{id}:
get:
summary: Get ticket details
put:
summary: Update ticket status or priority

Authentication:

Header Name: Authorization
Header Value: Bearer your-support-api-token

Customer Support AI Use Cases

  • Ticket Creation: “Create a high-priority ticket for database connection issues”
  • Status Checks: “What open tickets do we have with urgent priority?”
  • Updates: “Update ticket #12345 to resolved status”

Workflow Automation

Connect AI to project management and workflow tools for automated task management.

Workflow Automation Scenario

Integrate with Slack, JIRA, or Asana to enable AI-driven project management.

Example: Slack Integration

Catalog Name: Slack Workspace API

Key Operations:

  • Post messages to channels
  • List channels
  • Create channels
  • Get channel history
  • Upload files

Authentication:

Header Name: Authorization
Header Value: Bearer xoxb-your-slack-bot-token

Slack Integration AI Use Cases

  • Notifications: “Post a deployment success message to #engineering”
  • Channel Management: “Create a new channel called project-alpha”
  • Information Retrieval: “Show me recent messages from #general”

Data Integration

Enable AI to query and manipulate data across multiple systems.

Data Integration Scenario

Your organization uses Snowflake for data warehousing and you want AI to query business intelligence data.

Data Integration API Catalog Configuration

Catalog Name: Snowflake Data Warehouse API

Key Operations:

  • Execute SQL queries
  • Get query results
  • List databases and schemas
  • Manage data loading

Authentication:

Header Name: Authorization
Header Value: Bearer your-snowflake-oauth-token

Data Integration AI Use Cases

  • Business Intelligence: “What were our top 10 products by revenue last month?”
  • Data Analysis: “Show me customer sign-ups by region for Q4”
  • Reporting: “Generate a sales summary for the executive team”

Third-Party Service Integration

Connect AI to external services like GitHub, Stripe, or SendGrid.

Example: GitHub Integration

Catalog Name: GitHub Repository API

Key Operations:

paths:
/repos/{owner}/{repo}/issues:
get:
summary: List issues
post:
summary: Create an issue
/repos/{owner}/{repo}/pulls:
get:
summary: List pull requests
/repos/{owner}/{repo}/branches:
get:
summary: List branches

Authentication:

Header Name: Authorization
Header Value: Bearer github_pat_your_token

Third-Party Service AI Use Cases

  • Issue Tracking: “Create a bug report for the login timeout issue”
  • PR Management: “Show me open pull requests that need review”
  • Repository Info: “What branches exist in the main repository?”

Internal Microservices

Enable AI to interact with your internal microservices architecture.

Internal Microservices Scenario

Your company has microservices for user management, billing, and analytics.

Example: User Management Service

Catalog Name: Internal User Management API

Key Operations:

  • Create user accounts
  • Update user profiles
  • Search users
  • Manage user permissions
  • Reset passwords

Authentication:

Header Name: X-Internal-API-Key
Header Value: your-internal-service-key

Internal Microservices AI Use Cases

  • User Administration: “Create a new user account for john@example.com
  • User Lookup: “Find all users in the engineering department”
  • Permission Management: “Grant admin access to user ID 12345”

E-commerce Operations

Integrate AI with e-commerce platforms for order management and customer service.

Example: Order Management API

Catalog Name: E-commerce Order API

Key Operations:

paths:
/orders:
get:
summary: List orders
parameters:
- name: status
description: Filter by status (pending, shipped, delivered)
- name: customer_id
description: Filter by customer
post:
summary: Create a new order
/orders/{id}:
get:
summary: Get order details
put:
summary: Update order status
/orders/{id}/tracking:
get:
summary: Get shipping tracking information

Authentication:

Header Name: X-API-Key
Header Value: your-ecommerce-api-key

E-commerce AI Use Cases

  • Order Status: “What’s the status of order #78901?”
  • Customer Service: “Show me all pending orders for customer ID 456”
  • Shipping Updates: “Get tracking information for order #78901”

Payment Processing

Connect AI to payment APIs for invoice generation and payment tracking.

Example: Stripe Integration

Catalog Name: Stripe Payment API

Key Operations:

  • Create customers
  • Create payment intents
  • List charges
  • Generate invoices
  • Process refunds

Authentication:

Header Name: Authorization
Header Value: Bearer sk_test_your_stripe_secret_key

Payment Processing AI Use Cases

  • Invoice Generation: “Create an invoice for $500 for customer cus_123456”
  • Payment Tracking: “Show me today’s successful charges”
  • Refund Processing: “Issue a refund for charge ch_789012”

Analytics and Reporting

Enable AI to generate reports from analytics platforms.

Example: Google Analytics API

Catalog Name: Google Analytics Reporting API

Key Operations:

  • Run reports
  • Get real-time data
  • List accounts and properties
  • Get audience metrics

Authentication:

Header Name: Authorization
Header Value: Bearer your-google-oauth-token

Analytics and Reporting AI Use Cases

  • Traffic Analysis: “What’s our website traffic for the past 7 days?”
  • User Behavior: “Show me the top 5 landing pages by conversions”
  • Performance Metrics: “What’s our bounce rate this month compared to last month?”

Communication and Messaging

Integrate AI with messaging platforms for automated communications.

Example: Twilio SMS API

Catalog Name: Twilio Messaging API

Key Operations:

  • Send SMS messages
  • Get message status
  • List sent messages
  • Get delivery reports

Authentication:

Header Name: Authorization
Header Value: Basic base64(account_sid:auth_token)

Communication and Messaging AI Use Cases

  • Notifications: “Send an SMS to +1234567890 about the server maintenance”
  • Delivery Tracking: “Check the delivery status of message SM123456”
  • Bulk Messaging: “Send appointment reminders to all customers”

Content Management

Connect AI to CMS platforms for content creation and management.

Example: WordPress REST API

Catalog Name: WordPress Content API

Key Operations:

  • Create posts
  • Update posts
  • List posts
  • Manage media
  • Handle comments

Authentication:

Header Name: Authorization
Header Value: Bearer your-wordpress-app-password

Content Management AI Use Cases

  • Content Creation: “Create a draft blog post about API best practices”
  • Content Management: “List all published posts from last week”
  • Media Handling: “Upload an image to the media library”

Best Practices for Use Cases

Start Simple

Begin with a single, well-defined use case:

  1. Identify one API that would benefit from AI interaction
  2. Create a catalog with essential operations only
  3. Test with real scenarios
  4. Expand based on results

Focus on Value

Choose APIs that provide clear business value:

  • Automate repetitive tasks
  • Enable faster information retrieval
  • Improve customer service
  • Streamline workflows

Consider User Experience

Design catalogs with AI interaction in mind:

  • Clear, descriptive operation names
  • Helpful parameter descriptions
  • Meaningful error messages
  • Logical operation grouping

Next Steps