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Integration Points

Integration Architecture

The MNKY VERSE Integration Architecture

The MNKY VERSE platform provides a comprehensive set of integration points, allowing seamless connections with external systems, services, and data sources. These integration capabilities enable extended functionality, data sharing, and ecosystem expansion.

Core Integration Types

🔌

API Integrations

RESTful and GraphQL APIs for programmatic access to platform services and data.

📡

Event Streaming

Real-time event streams that enable reactive integrations and data synchronization.

🔄

Webhook System

Configurable webhooks that trigger on specific events and send data to external endpoints.

Platform Integration Points

  • E-commerce Integration
  • Content Integration
  • Development Integration
Shopify Integration

Shopify Integration

A comprehensive integration with Shopify powers our e-commerce capabilities, enabling seamless product management, order processing, and customer data synchronization.

  • Product catalog synchronization
  • Order management integration
  • Customer profile unification
  • Custom product creation
  • Product API
  • Order API
  • Customer API
  • Custom Fragrance API

API Gateway

API Gateway Architecture

The MNKY VERSE API Gateway provides a unified entry point for all API requests, with features for authentication, rate limiting, logging, and routing.

Key Capabilities

  • Authentication and authorization
  • Rate limiting and throttling
  • Request/response transformation
  • Logging and monitoring
  • Service discovery
  • Caching
  • API versioning
📘See API Reference for complete documentation

Event-Driven Architecture

Event Types

Core event categories in the platform
  • User events (login, registration, preferences)
  • Order events (created, updated, fulfilled)
  • Product events (created, updated, inventory)
  • Content events (published, updated, archived)
  • System events (alerts, notifications, status)

Event Delivery

How events are distributed
  • Real-time WebSocket streams
  • Message queues for asynchronous processing
  • Event batching for high-volume scenarios
  • Retry mechanisms for reliability
  • Dead letter queues for failed events

Subscription Management

Controlling event subscriptions
  • Topic-based subscriptions
  • Filtered subscriptions
  • Temporary subscriptions
  • Batch size configuration
  • Delivery preference management

Integration Patterns

Common event integration patterns
  • Event sourcing
  • CQRS (Command Query Responsibility Segregation)
  • Saga pattern for distributed transactions
  • Event replay capabilities
  • Outbox pattern for guaranteed delivery

Webhook System

How to set up and manage webhooks
  • Webhook creation and registration
  • Event type selection
  • Endpoint URL configuration
  • Authentication settings
  • Format selection (JSON, XML)
  • Failure handling preferences
Available events for webhook triggers
  • User events (registration, login, profile update)
  • Order events (creation, status change, fulfillment)
  • Product events (creation, update, inventory change)
  • Content events (publication, update, archival)
  • System events (alerts, status changes)
Securing webhook integrations
  • Secret key validation
  • Payload signing
  • IP whitelisting
  • Rate limiting
  • Timeout settings
  • Error handling
Tools for webhook development
  • Webhook tester interface
  • Event simulation
  • Delivery logs
  • Debugging tools
  • Payload inspection
  • Retry capabilities

Third-Party Integrations

StripePayment Processing
SendGridEmail Service
ShippoShipping
n8nWorkflow Automation
SupabaseDatabase
VercelDeployment
OpenAIAI Services
GoogleAnalytics

Implementation Guidelines

For Platform Consumers

  • Review API documentation before implementation
  • Use appropriate authentication methods for your use case
  • Implement proper error handling for resilience
  • Consider rate limits in high-volume scenarios
  • Test webhooks thoroughly before production use
  • Monitor integration health in production

For Platform Contributors

  • Follow API design guidelines for consistency
  • Provide comprehensive documentation
  • Include examples for common use cases
  • Support versioning for breaking changes
  • Implement robust error handling
  • Add appropriate logging for supportability
For more detailed information about integrations, please refer to: