Built by Metorial, the integration platform for agentic AI.
Retrieves Stromkonto (energy account) balance information including GrünstromBonus tracking and CORI token balances. Returns balances across different categories (green power bonus, self-generation, CO2, etc.) with transaction history.
Submits an electricity meter reading and receives a decorated response with CO2 emissions breakdown. The reading is split into green and grey energy components based on the GrünstromIndex. Useful for ESG Scope 2 emissions reporting and real-time CO2 tracking.
Calculates CO2 offset needs and compensation options for a given amount of CO2 emissions. Determines how many trees or other offsets are needed to compensate for the specified emissions amount. Useful for sustainability reporting and carbon neutrality planning.
Provides a breakdown of energy tariff cost components for a German postal code. Shows different cost elements that make up the electricity price, useful for understanding the composition of energy costs and identifying savings opportunities.
Provides insights into the flow and composition of renewable energy for a German city. Returns energy mix breakdowns (solar, wind, biomass, etc.), energy flow origins and destinations between locations, and geospatial coordinates for visualization.
Provides data on Germany's electricity generation mix across renewable and non-renewable sources. Includes breakdowns by source type (biomass, solar, wind onshore/offshore, nuclear, fossil fuels, etc.) for a given time period. Useful for analyzing energy production trends and renewable energy adoption.
Retrieves the GrünstromIndex (Green Power Index) forecast for a German postal code. Returns hourly predictions of renewable energy availability, CO2 emissions per kWh, and dynamic energy pricing. Useful for optimizing energy consumption around periods of high renewable energy availability.
Finds the best hour to consume energy based on renewable energy availability and low CO2 emissions for a given German location. Returns whether a device should be turned on now, based on the greenest hours within the specified timeframe.
Retrieves the current merit order list for the German electricity market. Shows power plants ordered by their marginal cost of production, which determines the wholesale electricity price. Useful for understanding market dynamics and price formation.
Provides solar energy production forecasts for a specific location and panel configuration. Returns hourly output estimates in watts and watt-hours. Supports customization based on panel technology, tilt angle, azimuth, and installed capacity.
Retrieves real-time and forecasted electricity pricing data for a German location. Returns time-stamped pricing intervals with market-level prices in EUR/MWh, compatible with the awattar API format. Useful for cost optimization and energy trading decisions.
Creates an optimized energy schedule for device operation based on real-time grid conditions, prices, and environmental factors. Supports multiple optimization modes: **price** (cheapest electricity), **solar** (align with solar generation), **emission** (minimize carbon), and **comfort** (balance efficiency with user needs). Returns hourly time slots indicating when to activate or deactivate devices.