How To Fix SADT_REST006 - Data is invalid and could not be converted

SAP Error Message - Details

• Message type: E = Error

• Message class: SADT_REST - Messages for ADT REST Framework

• Message number: 006

• Message text: Data is invalid and could not be converted

Self-Explanatory Message

Since SAP believes that this specific error message is 'self-explanatory,' no more information has been given.The majority of messages in the SAP system have a message text, however this is frequently insufficient to comprehend or resolve the problem.

To make things easier, more detailed information is frequently added to describe the issue, how to fix it, and the necessary steps or configuration modifications.

Unfortunately, there isn't any extra information in this error notice.

What else can you do?

First, use our AnswerBot below to get a possible cause and solution (requires a premium subscription).

Also, review the in-depth Common Questions & Answers listed below; you could discover a solution there or be able to connect with others who have faced similar challenges.

You can also try searching the SAP support portal (support.sap.com) but you need a special user ID to access it. It is possible that an SAP support note exists that provides additional details about the mistake or even steps for fixing it.

Smart SAP Assistant

• What is the cause and solution for SAP error message SADT_REST006 - Data is invalid and could not be converted ?

  The SAP error message SADT_REST006, which states "Data is invalid and could not be converted," typically occurs when there is an issue with the data being processed in a REST API call or during data import/export operations. This error can arise from various reasons, including data format mismatches, invalid data types, or incorrect data values.
  Causes:
  
  Data Format Issues: The data being sent or received may not conform to the expected format (e.g., JSON, XML).
  Invalid Data Types: The data types in the payload may not match the expected types defined in the API or data model (e.g., sending a string where a number is expected).
  Incorrect Values: The values provided may not be valid according to the business logic or validation rules (e.g., dates in the wrong format, out-of-range values).
  Missing Required Fields: Required fields may be missing from the data being sent.
  Encoding Issues: There may be issues with character encoding, especially if special