Sigma
Issuing

Querying Issuing

Use Stripe Sigma to retrieve information about Issuing.

The Issuing objects represented within Sigma include Authorizations, Transactions, Cards, and Cardholders. Issuing-specific tables can be found within the Issuing section of the schema.

Issuing data for your connected accounts can be found within tables prefaced with connected_account_, e.g.,connected_account_issuing_authorizations. More information about using Connect with Sigma can be found in the Connect section of the documentation.

Authorizations

Whenever an issued card is used to make a purchase, an Authorization object is created. Each row within the issuing_authorizations table represents data about this object. The same information can be retrieved through the API and is available in the Dashboard. Note that the request history field is not currently available in Sigma. Every authorization that has been created on your account is available in Sigma.

The card_id column of this table stores the ID of the card that was used to make the purchase. Additional information about the card that initiated the authorization can be found by joining the this column with the issuing_cards table.

To access the transactions associated with a particular authorization, you can join on the authorization_id column in the issuing_transactions table.

The following query computes counts of authorizations grouped by approval status.

select date_trunc('month', created) as month, count(case when approved then 1 end) as num_approved_authorizations, count(*) as total_num_authorizations from issuing_authorizations where date_trunc('month', created) between date_trunc('month', date_add('month', -13, date(data_load_time))) and date_trunc('month', date_add('month', -1, date(data_load_time))) group by 1 order by 1 desc, 2 limit 2
month approved num_authorizations
2020-08-01 false 506
2020-08-01 true 10,045

Transactions

Any use of an issued card that results in funds entering or leaving your Stripe account, such as a completed purchase or refund, is represented by an Issuing Transaction object. Information about these objects is stored within within the issuing_transactions table. The same information can be retrieved through the API and is available in the Dashboard.

For additional details about the transaction, such as the fee, you can access the associated balance transaction. You can do this by joining the balance_transaction_id column with the id column of the balance_transactions table. Balance transactions are not Issuing-specific objects. More information about working with balance transactions in Sigma can be found in the Transactions section of the documentation.

The authorization_id column allows you to access the Authorization object associated with the Transaction by joining on the id column of the issuing_authorizations table. This can provide additional details about how the transaction was authorized. The authorization_id column on an Issuing transaction can be empty in the event of force capture and for some instances of refunds.

You can also access both the card and cardholder involved in the transaction via the card_id and cardholder_id columns. Information about the card is stored in the issuing_cards table, and information about the cardholder is stored in the issuing_cardholders table. The Card and Cardholder objects can provide additional details about who initiated the transaction.

The following query returns information about the three most recent over captures. It joins the issuing_authorizations table to determine if this transaction is an over capture by comparing the amounts of the two objects.

select date_format(it.created, '%Y-%m-%d') as day, it.id, ia.amount as authorized_amount, -1 * it.amount as captured_amount from issuing_transactions it join issuing_authorizations ia on it.authorization_id=ia.id where it.type='capture' and -1 * it.amount > ia.amount --- This checks if this transaction was overcaptured order by day desc limit 3
day id authorized_amount captured_amount
2020-08-10 ipi_2std1WrpDTqmvwr 150 151
2020-08-10 ipi_5aIENKNmx6ZXb3r 0 1,000
2020-08-10 ipi_qdPnLtPhp2r8Y9C 1450 1050

One of the benefits of using Sigma with Issuing is the ability to aggregate data. The following example joins the balance_transactions table and aggregates each of the types of fees for Issuing transactions by month.

select date_trunc('month', it.created) as month, fd.type as fee_type, sum(fd.amount) as net_fees, sum(it.amount) as net_amount from issuing_transactions it inner join balance_transactions bt on bt.id=it.balance_transaction_id inner join balance_transaction_fee_details fd on fd.balance_transaction_id=bt.id group by 1,2 order by month desc, fee_type
month fee_type net_fees net_amount
2020-01-01 stripe-fee 590 10,000
2020-02-01 stripe-fee 59 1,000
2020-03-01 stripe-fee 590 10,000

Cards

The issuing_cards table contains data about an individual Card object. The same information is available via the API and within the Dashboard. The spending controls field is not currently available in Sigma.

Every issued card has an associated Cardholder, which can be accessed by joining the issuing_cardholders table on the cardholder_id column.

The following example retrieves information about three cancelled cards and their cardholders.

select ic.id, ich.email, ic.cancellation_reason, ic.last4 from issuing_cards ic inner join issuing_cardholders ich on ic.cardholder_id=ich.id where cancellation_reason is not null limit 3
id email cancellation_reason last4
ic_a4CMz1tIU2lN8WQ b.smith@example.com stolen 1234
ic_ktrott0pWgbrW0L c.jackson@example.com lost 1235
ic_RRp0eIgBbw3Yu9Q j.doe@example.com stolen 1236

Cardholders

Cardholder data is stored within the issuing_cardholders table. The same information can be retrieved through the API or via the Dashboard. The spending controls field is not currently available in Sigma.

This table can be joined to other tables to provide information about the entity that initiated a transaction or owns an issued card.

The following example retrieves information the three most recently created active cardholders.

select date_format(created, '%Y-%m-%d') as day, id, email, type from issuing_cardholders where status='active' limit 3
day id email type
2020-08-10 ich_CE9aWU9vVWpFp9D j.smith@example.com individual
2020-08-10 ich_djkYHuFanrUUIZ1 entity@example.com business_entity
2020-08-10 ich_6I3V4gbJmaO1hd3 j.doe@example.com individual

Metadata

Metadata for each Issuing object is stored in a separate table in Sigma. The names of these tables will be the name of the object’s table with the addition of _metadata to the end, e.g., issuing_transactions_metadata. The metadata table will have a foreign key to the corresponding object in the primary table that you can use to join the two tables. For example, every row in the issuing_transactions_metadata table has the column issuing_transaction_id that references the id column of a row in the issuing_transactions table.

The following example creates a dictionary from the issuing_transactions table’s metadata table. It then uses it to access the value of the metadata key 'my_label' for several transactions.

with transactions_metadata_dictionary as ( select issuing_transaction_id, map_agg(key, value) metadata_dictionary from issuing_transactions_metadata group by 1 ) select date_format(it.created, '%Y-%m-%d') as day, it.id, it.amount, metadata_dictionary['my_label'] as my_label_value from issuing_transactions it left join transactions_metadata_dictionary on it.id = transactions_metadata_dictionary.issuing_transaction_id where element_at(metadata_dictionary, 'my_label') is not null order by day desc limit 3
day id amount my_label_value
2020-08-10 ipi_3RSMXpVEjaR5b6E 2000 true
2020-08-10 ipi_aamjwblL6XxoCGg 100 true
2020-08-10 ipi_nJMngGknuFciKBH 10000 false
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