In this section you will find all currently published services that can be used. This section will be updated regularly as we continuously enrich our ecosystem. Refer to the concepts section for information on the API Versioning and the API Lifecycle in MindSphere.
Do not set the ContentType header of GET requests to application/json if the request body is empty. Many firewalls block this as it is identified as invalid request.
The following tables list all available MindSphere services with a description and the latest API version of the respective region.
Usage Transparency Service offers a UI giving insight on your resource consumption on the MindSphere platform. For Developers it as offers an API to track a metric defined by the developers. This metric can also be retrieved via an API of UTS.
Use Time Series Aggregates Service to read aggregated time series values. Retrieve the following aggregated values per interval: Count, Sum, Average, Minimum, Maximum, First Value, Last Value,Standard Deviation.
The Data Exchange Service provides remote file storage and management support through simple REST API calls. The service offers support for uploading, downloading, renaming, and publishing within the same tenant files or folders.
The Event Analytics Service provides the essential functionality for a data-driven analysis of event data. It enables the user to get a better grasp of what is happening inside the system through statistical analysis.
The Job Manager Service allows customers to execute Zeppelin Notebooks using a scheduling mechanism, also providing full support for the execution environment, cleanup, storage and library support required to run the models.
The Model Management Service provides analytical model management file storage with versioning support. The service provides help in maintaining version, dependency, parameters and authorship information.
The Signal Calculation Service processes sensor time series data of an entity. The service aggregates, modifies, smoothes and transforms the original sensor data for further analysis or storage along with the original data.
The Trend Prediction Service predicts future values for time series using linear and non-linear regression models. It is a forecasting framework, that has many useful applications in the area of Process & Condition Monitoring.