Configure how your metadata is mapped

Primer's advanced metadata mapping tool allows you to specify how information from your client session metadata object is mapped to the payload we send to third-party payment connections.

This means:

• You can build custom rules and pass the needed data without Primer being involved
• You can pass fields as part of the third-party metadata objects to activate the relevant fraud flows and rules-based mappings on the third-party processor

Supported connections

This functionality is only supported for authorization on the following connections:

• Adyen
• Checkout.com
• Cybersource
• Merchant Warrior
• Monext
• Payplug
• Stripe
• Thunes
• Worldline Connect
• Worldline Direct

This functionality is supported for capture on the following connections:

• Cybersource
• Payplug
• Worldline Direct

This functionality is supported for fraud provider requests on the following connections:

• Sift

How does it work?

Step 1: Prepare the metadata mapping

• Navigate to an existing integration that you have configured on your Primer dashboard and select Advanced mapping. The example below is for Stripe.

• You can now add as many fields as you want.

Step 2: Make the payment request

All you need to do now is pass the correct metadata fields in the client session if the payment is made via Universal Checkout, or directly in the payment request.

Below is an example client session or payment request payload for the mapping above:

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{    "orderId": "order-123",    "amount": 3000,    "currencyCode": "GBP",    "customerId": "cust-123",    "metadata": {        "customer_data": {            "customer_ip_address": "127.0.0.1"        },        "my_additional_data": {            "field_1": "foo",            "field_2": "bar"        },        "some_unmapped_field": 123    }}

Step 3: Capture your payment with metadata

If you require metadata to be passed to the third-party processor when capturing a payment, you can do so by passing the metadata in the capture request, alternatively, you can also add the metadata to the client session initially ready for use in the capture request.

Below is an example capture request payload for the mapping above:

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{    "amount": 9,    "final": false,    "metadata": {        "customer_data": {            "customer_ip_address": "127.0.0.1"        },        "my_additional_data": {            "field_1": "foo",            "field_2": "bar"        },        "some_unmapped_field": 123    }}

The resulting request to the third-party (Stripe in this example) will then contain your mapped fields per action.

Current limitations with arrays

We currently do not fully support mapping array fields with custom objects as elements. The following is an example of this:

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{    "amount": 9,    "final": false,    "metadata": {        "customer_data": {            "customer_ip_address": "127.0.0.1"        },        "my_additional_array_field": [            {                "my_additional_array_element": {                    "field_1": "foo",                    "field_2": "bar"                }            }        ]    }}

However, as a workaround to this, it is possible to just map the array field in metadata mapper, without specifying the details of the elements of the array. This has a small caveat though: since we are not mapping the array elements, we need to add the field value in the payload in the format expected from the connection.

To illustrate this workaround, we can consider an example from Sift. Since it requires the fields to be prefixed with $, the usage of their $bookings field would look like the following:

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{    "amount": 9,    "final": false,    "metadata": {        "bookings": [            {                "$booking_type": "$accomodation",                "$start_time": 1678062720000,                "$end_time": 1679062720000,                "$location": {                    "$name": "Marriot New London",                    "$phone": "1-415-555-6041",                    "$address_1": "2100 Main Street",                    "$city": "New London",                    "$region": "New Hampshire",                    "$country": "US",                    "$zipcode": "03257"                },                "$room_type": "Seaside View Queen",                "$price": 103082000,                "$currency_code": "USD",                "$quantity": 2            }        ]    }}

In the account, the metadata mapper would look like the following: