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Python Software Development Kit for DeepXL fraud detection services

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Installation

Install the SDK using pip 
pip install deepxl-python-sdk

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Example

To use the DeepXL client, you must first create an API key in the dashboard. You can create a new API key in Settings -> API Keys -> Create API Key. Treat this API key like you would any environment secret. Do not commit to a public repository or store in plain text. 
from deepxl-python-sdk import DeepXLClient

client = new DeepXLClient(MY_API_KEY)

analysis_result = client.analyze_file("documents-model", ".\\file.pdf")

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Client methods

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check_usage

Returns the monthly usage quota and current usage for the payment period for each media type.

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Returns:

Returns a UsageResponse object with the following properties:
PropertyType
image_usage_limitint
image_usageint
video_usage_limitint
video_usageint
audio_usage_limitint
audio_usageint
document_usage_limitint
document_usageint

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analyze

Analyze file data with DeepXL fraud detection.

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Inputs

  • model_name: the name of the model to use. You can find a complete list in our docs.
  • file_name: the name of the file to analyze
  • file_data: byte array of file data to analyze
Note: while you can use a constant string as file name, it is recommended you use unique identifiers to make files easier to find in analysis history.

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analyze_file

Analyze file with DeepXL fraud detection. This does the same thing as analyze but takes a file path as input instead of binary file data.

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Inputs

  • model_name: the name of the model to use. You can find a complete list in our docs.
  • file: path of the file to analyze

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Returns

Both analyze and analyze_file return an AnalysisResult object with the following properties:
PropertyTypeDescription
likelihoodfloatThe percent likelihood that the file has been manipulated
reasoningstr[]model reasoning
model_resultsdictmodel-specific outputs