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SpendHQ is a spend analytics platform helping procurement teams analyze and categorize spend, identify savings, and track supplier performance.
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Makini's unified API acts as a common denominator across all connected systems. We map each system's data structure to a standardized data model, exposing consistent endpoints regardless of the underlying platform. This means you write the same code to retrieve purchase orders from SAP, NetSuite, or Dynamics—the API calls and response formats are identical. You always get data in the same structure, making it easy to build consistent business logic. The unified approach eliminates the need to learn each system's unique API, manage multiple authentication methods, or handle varying data formats.
Makini Flows is our embedded workflow automation platform, built on n8n, which we consider the best workflow automation tool available. It's fully integrated into Makini and runs on our infrastructure. Flows allows you to build complex integration logic using a visual workflow builder—no code required, though code is supported for advanced use cases. Workflows can be triggered by schedules, webhooks, API calls, or events from connected systems. You can perform data transformations, implement conditional logic, call external APIs, and orchestrate multi-step processes. Flows includes over 1,000 pre-built connectors beyond Makini's industrial systems, enabling integrations with databases, messaging platforms, cloud services, and more. Most customer activations are completed using Flows due to its flexibility and ease of use.
Webhooks allow Makini to notify your application of events in real-time. To set up webhooks, configure a webhook URL in your connection settings or during the initial connection flow. Your webhook endpoint must accept POST requests, respond within 10 seconds with a 200 status code, and use HTTPS with a valid SSL certificate. Makini will send webhook payloads to your endpoint when configured events occur, such as sync completion, connection status changes, or errors requiring attention. We recommend keeping your webhook receiver lightweight—ideally just writing the payload to a queue for asynchronous processing—to avoid timeouts and ensure reliable delivery.
Testing should cover authentication, data retrieval, data writing, error handling, and workflow logic. Start by connecting a test system through Makini's authentication flow. Use sandbox or non-production instances of your target systems when available. Test API calls for each entity type you'll use (purchase orders, work orders, etc.) to verify data mapping and field coverage. Test error scenarios by providing invalid inputs or attempting operations without proper permissions. For workflow-based integrations, test each workflow step independently before testing end-to-end. Verify webhook delivery and signature verification. Test with realistic data volumes to identify performance issues. Include tests for connection failure scenarios and verify your error handling and retry logic work correctly.
