




Have any questions? We’re here to help You
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.
Makini's purchase order data model includes comprehensive field coverage across all major ERP systems. Standard fields include order number, line items, vendor information, quantities, unit prices, dates (order date, required date, delivery date), status, currency, ship-to and bill-to addresses, payment terms, and custom fields. Each line item includes product/material codes, descriptions, quantities, unit of measure, pricing, and delivery information. The specific fields available depend on the source system's capabilities. You can view the complete field mapping for any connected system in the Makini dashboard, and custom fields can be added as needed for your specific requirements.
All Makini webhooks include a signature header for verification. The signature is an HMAC hash of the webhook payload using your webhook secret as the key. To verify a webhook, compute the HMAC using your secret and compare it to the signature header using constant-time comparison to avoid timing attacks. Never process webhook data without verification, as this could expose your system to forged requests. Your webhook secret is provided when you configure webhooks and should be stored securely. Webhook verification ensures that only legitimate requests from Makini are processed by your application.
Makini uses cursor-based pagination for retrieving large datasets. API responses include a `next_cursor` field when additional results are available. To retrieve the next page, include the cursor value in your next request: `GET /api/v1/purchase-orders?cursor=CURSOR_VALUE`. Cursor-based pagination is more reliable than offset-based pagination because it handles data changes between requests—if records are added or deleted while you're paginating, you won't miss records or see duplicates. Page size is configurable up to a maximum limit (typically 100-500 records per page depending on entity type). For optimal performance, use the largest page size your application can handle efficiently. The API response also includes total count when available from the source system.
