mP WebService
REST API for data exchange, process control and status enquiries – including from Python environments.
mP WebService integrates mP Xnergy forecasts into any external system landscape via the REST API. Whether
it’s a trading system, ERP, SCADA or your own data science environment – forecasts, measurement data and
process control run fully automatically via standardised interfaces. Direct use from Python scripts and Jupyter workflows is also possible.
The challenge
- Forecast data is stored in proprietary formats that external systems cannot read directly
- Manual data transfer between systems is error-prone and time-consuming
- Diverse IT environments make it difficult to integrate new forecasting tools
- The lack of standard interfaces hinders the automation of entire process chains
The solution
- REST API for all common trading systems, as well as EDIFACT, MaBiS, GaBi Gas and SCADA
- Seamless integration into existing IT environments – can also be used directly from Python environments
- External systems can initiate forecast calculations, train models or trigger workflows
- Secure HTTPS connections, designed for high-frequency API calls and large volumes of data
Experience mP WebService for yourself
See for yourself – we’ll show you mP Xnergy in action during a personalised demo