




AssetTracs is a cloud-based asset management platform that enables organisations to tag and track physical assets, manage inspections, schedule maintenance, and document compliance across multiple locations.
Have any questions? We’re here to help You
Connection credits are Makini's billing unit. Each system integration consumes a specific number of credits based on complexity. Systems are divided into three tiers: Tier 1 (simple systems like cloud CMMS), Tier 2 (mid-complexity ERP systems), and Tier 3 (complex systems like SAP). On-premises installations require double the credits of their cloud equivalents. For example, a cloud SAP S4/HANA connection might use 4 credits, while an on-premises SAP ECC installation uses 8 credits. Connection credits are consumed when you establish a connection and are returned to your pool when you disconnect. This allows flexible allocation across customers—you're not locked into specific connections.
Makini provides a `/sync-status` API endpoint that returns the current synchronization state for a connection. The response includes the last successful sync timestamp, sync status (in progress, completed, failed), any error messages, and the next scheduled sync time. You can query this endpoint to monitor sync health and detect issues. For workflow-based syncs using Makini Flows, each workflow execution is logged with detailed status information including start time, completion time, success/failure status, and any errors encountered. The Makini dashboard also provides visual sync status monitoring across all connections.
Makini's API supports date filtering on most endpoints using query parameters. You can filter by creation date, modification date, or entity-specific date fields like order date or delivery date. Common patterns include `modified_after=2024-01-01` to retrieve records updated since a specific date, or relative timestamps like `modified_after=2024-01-01T00:00:00Z`. For optimal performance, use incremental data retrieval patterns rather than repeatedly fetching all records. The sync status endpoint provides the last sync timestamp, which you can use as the `modified_after` value for your next query. This approach minimizes data transfer and API load while ensuring you capture all changes.
Makini implements automatic retry logic for failed webhook deliveries. If your endpoint is unavailable or returns an error status code, we retry delivery with exponentially increasing intervals starting at 30 seconds. Retries continue for up to 24 hours. If delivery ultimately fails, the webhook is logged but not delivered. You can view failed webhooks in the Makini dashboard and manually retry them. To prevent webhook loss during extended downtime, implement a polling backup strategy—periodically check the sync status and query for recent changes if no webhooks have been received within the expected time window. Design your webhook receiver to be idempotent, as retry logic may result in duplicate deliveries.
