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Yes, Makini provides extensive customization options for field mappings. Through the connection settings interface, you can view how each system's fields map to Makini's unified model. You can remap fields, add custom field mappings, or create entirely new custom fields that will appear in API responses. These customizations are connection-specific, allowing different mapping configurations for different customers. Mapping changes take effect immediately without requiring code changes. For standardized workflows, default mappings typically provide sufficient coverage. Custom mappings are most useful when integrating with heavily customized systems or when you need fields beyond the standard unified model.
Customers connect systems through Makini's authentication module, which provides a simple, guided connection flow. The process typically takes 2-5 minutes: Select the system from our list of 2,000+ products. Enter connection details (usually just the instance URL and credentials). Authorize the connection. Makini validates credentials and establishes the connection. The connection flow is designed for non-technical users and can be embedded directly in your application, allowing customers to connect without leaving your product. For systems requiring additional setup (like API token generation), we provide step-by-step guidance within the connection flow. Customers see real-time feedback during connection, and if any issues occur, clear error messages guide them to resolution.
Makini monitors connection health continuously and provides multiple ways to detect reauthorization needs. The connection status endpoint returns the current state including whether reauthorization is required. Makini sends webhooks when connections enter a state requiring reauthorization, allowing proactive notification. API requests to a connection requiring reauthorization return specific error codes prompting reconnection. The Makini dashboard displays connection status across all customers. Best practice is to implement webhook listeners for connection status changes and proactively notify customers when reauthorization is needed, rather than waiting for operations to fail. Include clear instructions on how to reconnect in your notification.
Makini provides several performance monitoring capabilities. API responses include timing information showing request processing time. The dashboard includes performance metrics showing average response times, throughput, and error rates over time. You can set up alerts for performance degradation or error rate increases. Each request generates a unique request ID that enables detailed performance analysis. For workflow-based integrations, execution logs show per-step timing, helping identify bottlenecks. We recommend implementing client-side monitoring to track end-to-end latency including network time. Monitor trends over time rather than individual requests—occasional slow requests are normal, but sustained increases may indicate issues requiring investigation.
