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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 uses standard HTTP status codes and structured error responses. Error responses include an error code (e.g., `AUTHENTICATION_FAILED`, `RATE_LIMIT_EXCEEDED`), error type for categorization, a human-readable error message, and a unique request ID for support inquiries. Common status codes include 400 for invalid requests, 401 for authentication failures, 403 for permission issues, 429 for rate limiting, 500 for server errors, and 503 for service unavailability. Use the error code for programmatic error handling rather than parsing error messages. The request ID helps our support team quickly identify and investigate specific issues.
Makini provides several debugging tools. The dashboard shows detailed request logs including request/response payloads, headers, status codes, and timing. Each API request generates a unique request ID included in responses—provide this when contacting support for faster investigation. For workflow-based integrations, Makini Flows includes execution logs showing each step's input/output, timing, and any errors. Connection health monitoring shows sync history, error rates, and connection status over time. API responses include detailed error information with error codes and messages. For development, we recommend using API clients like Postman or Insomnia to interactively test API calls and inspect responses. Our API documentation includes request/response examples for all endpoints.
Yes, through Makini Flows, which includes connectors for popular databases including Snowflake, PostgreSQL, MySQL, MongoDB, and others. This enables workflows that synchronize data between industrial systems and your data warehouse or analytics platforms. For example, you can sync purchase orders from SAP to Snowflake for analytics, or use database queries to drive integration logic. Database integrations use the same workflow builder as other integrations, making it easy to combine industrial system data with database operations. For direct database-to-database syncing, we can help design optimized workflows. Database connections are treated as custom integrations and may require additional workflow development.
