Register your customers

This page leads you through the following steps to register and deregister parties in order to create prediction results:

Ensure you're ready to register parties
Prepare the party registration tables
Use the projects.locations.instances.importRegisteredParties method to register or deregister parties
Validate the method response
(Optional) Export a table of registered parties

Before you begin

Before you begin, you need an AML AI instance.

To enable a model to create risk score predictions, you must first register parties. We recommend that you register parties when you already have the following:

One or more datasets
A tuned, trained, and backtested model

When to register parties

Before you can create predictions for a party in one of your datasets, you need to register the party. Registration is not required for training, tuning, or backtesting.

Prediction results are used in investigating customers for money laundering in either a production or testing/parallel phase.

Registering parties incurs additional monthly costs per registered party (see the Pricing page for more information).

How to prepare party registration tables

Read the Pricing page for information on registering parties.

Prepare a table for the line of business you want to register parties for. This party registration table can be a subset of the Party table.

Retail parties schema

Column	Type	Description
`party_id`	`STRING`	Unique identifier of the party in the instance's datasets
`party_size`	`STRING`	NULL; content is ignored for retail party registrations

Commercial parties schema

Column Type Description

party_id STRING Unique identifier of the party in the instance's datasets

party_size

STRING

Requested party size. The tier is based on the average number of monthly transactions for the party over the preceding 365 days:

SMALL for small commercial parties with less than 500 average monthly transactions
LARGE for large commercial parties with greater than or equal to 500 average monthly transactions

All values are case sensitive.

How to register parties

Parties are registered separately for each AML AI instance. Note the following:

Retail and commercial parties must be registered separately. Use separate API calls and separate party registration tables. If a party is in both lists, they are considered separate registrations.
Predictions require all parties to be registered with the line of business associated with the engine version used. You can't create prediction results if a dataset is used that contains any party not registered with the same line of business.
The provided party registration table is used to either append to the existing list of registered parties in the instance or replace all registered parties for the provided line of business in the instance.
Once registered, a party can't be deregistered for some time (see the Pricing page). For this reason, you can set the validateOnly field to TRUE. This field allows you to see the net effect and response of the method without changing the registered parties. Once validated, you can rerun the operation and set the validateOnly parameter to FALSE.
Always check the response of a registration request to ensure all parties were registered successfully, even if a previous validateOnly request succeeded.
For commercial party registrations, a value other than SMALL or LARGE in the party_size field in the party registration table triggers an error (Invalid party_size present in table). Registered parties are not updated.
For retail party registrations, the party_size field is ignored and all parties in the provided party registration table are registered.

To import registered parties, use the projects.locations.instances.importRegisteredParties method.

(The following information is also available in Create and manage instances.)

Before using any of the request data, make the following replacements:

PROJECT_ID: your Google Cloud project ID listed in the IAM Settings
LOCATION: the location of the instance; use one of the supported regions:
- us-central1
- us-east1
- asia-south1
- europe-west1
- europe-west2
- europe-west4
- northamerica-northeast1
- southamerica-east1
INSTANCE_ID: the user-defined identifier for the instance
BQ_INPUT_REGISTERED_PARTIES_DATASET_NAME: a BigQuery dataset that contains a table that describes the registered parties
REGISTERED_PARTIES_TABLE: the table that lists the registered parties
Note: You can provide multiple tables that list the registered parties. Use the format "bq://{project}.{bqDatasetID}.{bqTableID}" for each table in the partyTables array.
UPDATE_MODE: use REPLACE to replace parties that are removable in the registered parties table with new parties, or use APPEND to add new parties to the registered parties table
LINE_OF_BUSINESS: this field must match the lineOfBusiness value in the engine version used by the engine config; use COMMERCIAL for commercial banking customers (legal and natural entities), or use RETAIL for retail banking customers

Request JSON body:

{
  "partyTables": [
     "bq://PROJECT_ID.BQ_INPUT_REGISTERED_PARTIES_DATASET_NAME.REGISTERED_PARTIES_TABLE"
  ],
  "mode": "UPDATE_MODE",
  "lineOfBusiness": "LINE_OF_BUSINESS"
}

To send your request, choose one of these options:

curl

Note: The following command assumes that you have logged in to the gcloud CLI with your user account by running gcloud init or gcloud auth login , or by using Cloud Shell, which automatically logs you into the gcloud CLI . You can check the currently active account by running gcloud auth list.

Save the request body in a file named request.json. Run the following command in the terminal to create or overwrite this file in the current directory:

cat > request.json << 'EOF'
{
  "partyTables": [
     "bq://PROJECT_ID.BQ_INPUT_REGISTERED_PARTIES_DATASET_NAME.REGISTERED_PARTIES_TABLE"
  ],
  "mode": "UPDATE_MODE",
  "lineOfBusiness": "LINE_OF_BUSINESS"
}
EOF

Then execute the following command to send your REST request:

curl -X POST \
     -H "Authorization: Bearer $(gcloud auth print-access-token)" \
     -H "Content-Type: application/json; charset=utf-8" \
     -d @request.json \
     "https://financialservices.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/instances/INSTANCE_ID:importRegisteredParties"

PowerShell

Note: The following command assumes that you have logged in to the gcloud CLI with your user account by running gcloud init or gcloud auth login . You can check the currently active account by running gcloud auth list.

Save the request body in a file named request.json. Run the following command in the terminal to create or overwrite this file in the current directory:

@'
{
  "partyTables": [
     "bq://PROJECT_ID.BQ_INPUT_REGISTERED_PARTIES_DATASET_NAME.REGISTERED_PARTIES_TABLE"
  ],
  "mode": "UPDATE_MODE",
  "lineOfBusiness": "LINE_OF_BUSINESS"
}
'@  | Out-File -FilePath request.json -Encoding utf8

Then execute the following command to send your REST request:

$cred = gcloud auth print-access-token
$headers = @{ "Authorization" = "Bearer $cred" }

Invoke-WebRequest `
    -Method POST `
    -Headers $headers `
    -ContentType: "application/json; charset=utf-8" `
    -InFile request.json `
    -Uri "https://financialservices.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/instances/INSTANCE_ID:importRegisteredParties" | Select-Object -Expand Content

You should receive a JSON response similar to the following:

{
  "name": "projects/PROJECT_ID/locations/LOCATION/operations/OPERATION_ID",
  "metadata": {
    "@type": "type.googleapis.com/google.cloud.financialservices.v1.OperationMetadata",
    "createTime": CREATE_TIME,
    "target": "projects/PROJECT_ID/locations/LOCATION/instances/INSTANCE_ID",
    "verb": "importRegisteredParties",
    "requestedCancellation": false,
    "apiVersion": "v1"
  },
  "done": false
}

For information on how to get the result of the long-running operation (LRO), see Manage long-running operations.

Registration response

When the LRO completes, the response indicates the number of parties that were added, removed, or updated by the operation.

Response field	Type	Description
`partiesAdded`	`integer`	Number of parties added by this operation
`partiesRemoved`	`integer`	Number of parties removed by this operation
`partiesTotal`	`integer`	Total number of parties that are registered in this instance, after the update operation was completed
`partiesUptiered`	`integer`	Total number of commercial parties that are uptiered from small to large
`partiesDowntiered`	`integer`	Total number of commercial parties that are downtiered from large to small
`partiesFailedToDowntier`	`integer`	Total number of commercial parties that failed to downtier from large to small
`partiesFailedToRemove`	`integer`	Number of parties that failed to be removed by this operation

How to deregister parties

Parties are deregistered per AML AI instance using the same projects.locations.instances.importRegisteredParties method and replacing the existing list of parties. Set the mode field to REPLACE. This setting deregisters any currently registered parties (for the provided line of business) that are not part of the provided party registration table.

Deregistration responses

After the operation completes, check the API response to check if the operation led to the intended result in terms of numbers of parties added or removed, and the total number of registered parties.

The API response also returns the number of parties which could not be removed due to constraints (for example, due to the minimum number of days before a party can be deregistered).

Export registered parties

To export registered parties, use the projects.locations.instances.exportRegisteredParties method.

(The following information is also available in Create and manage instances.)

Before using any of the request data, make the following replacements:

PROJECT_ID: your Google Cloud project ID listed in the IAM Settings
LOCATION: the location of the instance; use one of the supported regions:
- us-central1
- us-east1
- asia-south1
- europe-west1
- europe-west2
- europe-west4
- northamerica-northeast1
- southamerica-east1
INSTANCE_ID: the user-defined identifier for the instance
BQ_OUTPUT_DATASET_NAME: a BigQuery dataset in which to export a table that describes the registered parties
REGISTERED_PARTIES_TABLE: the table to write the registered parties to
WRITE_DISPOSITION: the action that occurs if the destination table already exists; use one of the following values:
- WRITE_EMPTY: Only export data if the BigQuery table is empty.
- WRITE_TRUNCATE: Erase all existing data in the BigQuery table before writing to the table.
LINE_OF_BUSINESS: use COMMERCIAL for commercial banking customers (legal and natural entities), or use RETAIL for retail banking customers

Request JSON body:

{
  "dataset": {
    "tableUri": "bq://PROJECT_ID.BQ_OUTPUT_DATASET_NAME.REGISTERED_PARTIES_TABLE",
    "writeDisposition": "WRITE_DISPOSITION"
  },
  "lineOfBusiness": "LINE_OF_BUSINESS"
}

To send your request, choose one of these options:

curl

Save the request body in a file named request.json. Run the following command in the terminal to create or overwrite this file in the current directory:

cat > request.json << 'EOF'
{
  "dataset": {
    "tableUri": "bq://PROJECT_ID.BQ_OUTPUT_DATASET_NAME.REGISTERED_PARTIES_TABLE",
    "writeDisposition": "WRITE_DISPOSITION"
  },
  "lineOfBusiness": "LINE_OF_BUSINESS"
}
EOF

Then execute the following command to send your REST request:

curl -X POST \
     -H "Authorization: Bearer $(gcloud auth print-access-token)" \
     -H "Content-Type: application/json; charset=utf-8" \
     -d @request.json \
     "https://financialservices.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/instances/INSTANCE_ID:exportRegisteredParties"

PowerShell

Save the request body in a file named request.json. Run the following command in the terminal to create or overwrite this file in the current directory:

@'
{
  "dataset": {
    "tableUri": "bq://PROJECT_ID.BQ_OUTPUT_DATASET_NAME.REGISTERED_PARTIES_TABLE",
    "writeDisposition": "WRITE_DISPOSITION"
  },
  "lineOfBusiness": "LINE_OF_BUSINESS"
}
'@  | Out-File -FilePath request.json -Encoding utf8

Then execute the following command to send your REST request:

$cred = gcloud auth print-access-token
$headers = @{ "Authorization" = "Bearer $cred" }

Invoke-WebRequest `
    -Method POST `
    -Headers $headers `
    -ContentType: "application/json; charset=utf-8" `
    -InFile request.json `
    -Uri "https://financialservices.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/instances/INSTANCE_ID:exportRegisteredParties" | Select-Object -Expand Content

You should receive a JSON response similar to the following:

{
  "name": "projects/PROJECT_ID/locations/LOCATION/operations/OPERATION_ID",
  "metadata": {
    "@type": "type.googleapis.com/google.cloud.financialservices.v1.OperationMetadata",
    "createTime": CREATE_TIME,
    "target": "projects/PROJECT_ID/locations/LOCATION/instances/INSTANCE_ID",
    "verb": "exportRegisteredParties",
    "requestedCancellation": false,
    "apiVersion": "v1"
  },
  "done": false
}

For information on how to get the result of the long-running operation (LRO), see Manage long-running operations.

This method outputs a BigQuery table with the following schema:

Column	Type	Description
`party_id`	`STRING`	Unique identifier of the party in the instance's datasets
`party_size`	`STRING`	Specifies the tier for commercial customers (large versus small). This field does not apply to retail customers. `NULL` for all retail customers `SMALL` for small commercial parties with less than 500 average monthly transactions `LARGE` for large commercial parties with greater than or equal to 500 average monthly transactions All values are case sensitive.
`earliest_remove_time`	`STRING`	The earliest time at which the party can be removed
`party_with_prediction_intent`	`STRING`	The indicator that suggests if a party has been predicted on since the registration
`registration_or_uptier_time`	`STRING`	The time at which the party was registered or uptiered