Fetch fraud analysis result
The access token received from the authorization server in the OAuth 2.0 flow.
Enables indicator medatadata in the response object
Asynchronous processing finished (either with a success or an error). Result of the processing is described by the specific response object.
SUCCESS Timestamp of analysis
General type of the input file
unsupported, pdf, image Mime type of the input file, e.g. application/pdf, image/jpeg, etc.
256Version of quality engine used for analysis
256Customer's own submission ID. This field may contain customer's own internal ID of analyzed file (e.g. ID in database).
2048Sha256 of the input file
64List of pages that were selected from document for processing, empty list means all pages were selected
Number of pages in submitted document. Note that, for images, this is equal to 1
Overall score of analyzed sample. A TRUSTED score is attributed to documents where the system has identified a reason to trust them. A NORMAL score describes the documents where the system has no particular reason to trust or distrust them. A WARNING score is given to documents that are identified as more likely to have been modified, such as scanned documents. A HIGH_RISK score identifies the documents where the system has identified modifications that are frequently associated with fraud or forgery attempts.
NORMAL, TRUSTED, WARNING, HIGH_RISK Metadata extracted from the analyzed file. This field may contain various information such as creation date, software used to create the file, etc.
Indicators contains detailed information about the specific results of our analysis. This field contains detailed observations that the system was able to make about the file. Some indicators may be positive and may increase the Trust score, while the others would be negative and would increase the Risk.
This field will be removed from the /fraud API response in November 2025. Please use the /classification endpoint for accessing document classification results.Depracated and replaced by document classification.