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Method

predictFraud POST

Copy POST

Returns the probability of a transaction performed under a specific account being fraudulent or not. Note that the inputs to this method, wherever applicable, should be the column names in your dataset mapped to the column mappings in our system (e.g. column 'account_number' mapped to the mapping 'ACCOUNT_ID' in our system).

Arguments:

REQUIRED	KEY	TYPE	DESCRIPTION
Yes	deploymentToken	String	A deployment token to authenticate access to created deployments. This token is only authorized to predict on deployments in this project, so it is safe to embed this model inside of an application or website.
Yes	deploymentId	Unique String Identifier	A unique identifier to a deployment created under the project.
Yes	queryData	dict	A dictionary containing transaction attributes (e.g. credit card type, transaction location, transaction amount, etc.).

Note: The arguments for the API methods follow camelCase but for Python SDK underscore_case is followed.

Response:

KEY	TYPE	DESCRIPTION
success	Boolean	true if the call succeeded, false if there was an error
	FraudPrediction

Exceptions:

TYPE	WHEN
DataNotFoundError	`deploymentId` is not found.

Language: