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GET
/
v3
/
{customerId}
/
upload
/
fraudanalysis
/
{loginId}
Fraud Analysis
curl --request GET \
  --url https://{instance}-api.private.fin.ag/v3/{customerId}/upload/fraudanalysis/{loginId}
{
  "HttpStatusCode": 123,
  "Message": "<string>",
  "Login": {
    "LoginId": "<string>",
    "RequestId": "<string>"
  },
  "DocumentAnalysis": [
    {
      "Status": "<string>",
      "FullAnalysis": [
        {
          "DocumentType": "<string>",
          "FraudSignals": [
            {
              "Type": "<string>",
              "PageNumber": 123,
              "Count": 123,
              "UnderlyingData": [
                {
                  "Details": [
                    {
                      "SpecificType": "<string>",
                      "Value": "<string>",
                      "DataType": "<string>"
                    }
                  ]
                }
              ]
            }
          ]
        }
      ]
    }
  ]
}

Documentation Index

Fetch the complete documentation index at: https://docs.flinks.com/llms.txt

Use this file to discover all available pages before exploring further.

Use the /FraudAnalysis endpoint if you are using Flinks Upload and want to check if our fraud signals were triggered by documents that were uploaded. This endpoint returns a different 200 response based on if fraud was detected or not.

Headers

​
Authorization
string

Contains the Bearer Token (the API secret key that Flinks provides you with).

Response

Result

​
HttpStatusCode
integer
​
Message
string

Message indicating no fraud was detected (e.g., "No Fraud Signal Detected").

​
Login
object
​
DocumentAnalysis
object[]

Contains the analysis results for the uploaded documents.