During January 2026, Green Hess developed a configuration template for ADA P1 Meter HTTP data retrieval within the evcc-io/evcc repository. This work focused on enabling remote collection of power, energy, current, and voltage data via HTTP, streamlining meter integration and enhancing data visibility for automation readiness. Green Hess applied skills in API integration, configuration management, and data processing, utilizing YAML to establish a flexible, template-based approach. The solution addressed the need for scalable onboarding of ADA P1 meters and laid groundwork for broader interoperability. No bugs were fixed during this period, as efforts centered on delivering this foundational feature.