#sustainability

Kompostierungsmathematik als API, lokal und deterministisch berechnet – die drei Zahlen, die entscheiden, ob ein Haufen heiß wird und sich zersetzt oder kalt und stinkend dasteht. Der cn-ratio-Endpunkt mischt eine Mischung zu ihrem Kohlenstoff-Stickstoff-Verhältnis: Übergeben Sie jedes Material nach Gewicht mit seinem Trockengewichts-%C und %N als parallele kommagetrennte Listen, und er gibt die gesamten Kohlenstoff- und Stickstoffmassen sowie das gemischte C:N zurück, mit einer Bewertung gegenüber dem idealen 25–35:1 – zehn Teile trockene Blätter (50 %C, 1 %N) mit zehn Teilen Grasschnitt (45 %C, 2,5 %N) ergeben ein nahezu perfektes 27:1. Der Moisture-Endpunkt berechnet die Wassermenge, die hinzugefügt werden muss, um eine Ziel-Feuchtigkeit zu erreichen (der Haufen sollte ein ausgewrungener Schwamm von 50–60 % sein): Aus der aktuellen Masse und Feuchtigkeit hält er die Trockenmasse konstant, also benötigen 100 kg bei 30 % etwa 56 kg Wasser, um 55 % zu erreichen, und er kennzeichnet einen zu nassen Haufen, der stattdessen getrocknet werden muss. Der Mix-Endpunkt gibt das Braun:Grün-Gewichtsverhältnis an, um ein Ziel-C:N aus den %C und %N zweier Materialien zu erreichen – Blätter und Gras bei einem Ziel von 30:1 benötigen etwa 1,5 Teile Braunes zu 1 Teil Grünem. Alles wird lokal und deterministisch berechnet, daher ist es sofort und privat. Ideal für Garten- und Kompostierungs-Apps, Meisterkompostierer- und Schrebergarten-Tools, regenerative Landwirtschaft und Bodengesundheits-Websites sowie Abfallvermeidungsrechner. Reine lokale Berechnung – kein Key, kein Drittanbieter-Service, sofort. Live, nichts gespeichert. 3 Compute-Endpunkte. Für Materialvolumen verwenden Sie eine Mulch-API; für NPK-Ausbringungsmengen verwenden Sie eine Dünger-API.

api.oanor.com/compost-api

Rainwater-harvesting maths as an API, computed locally and deterministically. The harvest endpoint works out how much water a roof collects from a given rainfall — from the catchment (roof plan) area, the rainfall depth and a runoff coefficient it returns the harvested volume in litres, US and UK gallons and cubic metres, using the identity that 1 mm of rain over 1 m² collects 1 litre before losses. The runoff coefficient can be given directly or looked up from the roof type (smooth metal collects the most at ~0.9, green roofs the least at ~0.3). The demand endpoint sizes a storage tank from a daily demand (given directly or as people × litres per person) and the length of the dry spell you want to cover, and — if you also pass the annual rainfall and roof area — checks whether a year of harvest can meet a year of demand. The firstflush endpoint sizes a first-flush diverter, the volume of dirty initial rain to discard. Areas accept square metres or square feet (or length × width), rainfall accepts millimetres, centimetres or inches. Everything is computed locally and deterministically, so it is instant and private. Ideal for sustainability and off-grid apps, plumbing and landscaping tools, smart-home water systems, and construction planners. Pure local computation — no key, no third-party service, instant. Live, nothing stored. 4 endpoints. This is rainwater catchment maths; for roof pitch and area geometry use a roofing API and for general construction material quantities use a construction API.

api.oanor.com/rainwater-api

Long-term climate projections as an API — daily, downscaled output from high-resolution CMIP6 global climate models for any location on Earth, from 1950 all the way to 2050. See how temperature, precipitation, wind and humidity are projected to change under a warming climate: get the daily projection over any date range (choose your variables and climate model), or per-year aggregates — annual mean temperature and total precipitation — that reveal the warming trend at a place over the coming decades. Seven HighResMIP models are available (EC_Earth3P_HR, MPI_ESM1_2_XR, MRI_AGCM3_2_S, CMCC_CM2_VHR4 and more). From planning and agriculture to risk assessment, sustainability and climate research, it turns climate-model data into a simple coordinate-in, projection-out call. A climate-projection resource — distinct from real-time weather forecasts, historical weather observations and Köppen climate classification. Open data from Open-Meteo (CC BY 4.0), based on the CMIP6 HighResMIP ensemble.

api.oanor.com/climateprojections-api

Independent greenhouse-gas emissions data as an API — powered by Climate TRACE, the coalition (backed by Al Gore) that monitors global emissions from satellites, sensors and AI rather than self-reported figures. Get any country's emissions for a given year — CO2, methane (CH4) and nitrous oxide (N2O) in tonnes, plus CO2-equivalent over 100- and 20-year horizons — together with the country's global emissions rank and its share of total world emissions; pass several countries at once to compare them side by side. List the full set of sectors, subsectors and gases that Climate TRACE tracks (power, transportation, manufacturing, agriculture, fossil-fuel operations, waste and more). From China and the United States to any nation on Earth, with data from 2015 onward, it is ideal for climate, ESG, sustainability, policy, journalism and research applications. An independent emissions-inventory data source — distinct from electricity-grid carbon intensity, activity footprint calculators and climate classification. Open data from Climate TRACE (CC BY 4.0).

api.oanor.com/climatetrace-api

La intensidad de carbono de la red eléctrica de Gran Bretaña como API, del servicio oficial de intensidad de carbono de National Grid ESO. Obtén la intensidad nacional de carbono en vivo en gramos de CO2 por kWh con su índice (muy bajo a muy alto), la combinación de generación actual que muestra exactamente cuánto de la red es gas, eólica, solar, nuclear, biomasa, hidroeléctrica, carbón e importaciones en este momento (con los porcentajes renovables y de carbono cero calculados para ti), la línea de tiempo de intensidad de hoy en intervalos de media hora, la intensidad de carbono de las 18 regiones de GB, la intensidad y la combinación de combustibles para cualquier código postal del Reino Unido, y el factor de emisión de gCO2/kWh de cada tipo de combustible. Estos son exactamente los datos que necesitas para cambiar la carga de vehículos eléctricos, bombas de calor, lavandería y baterías a las medias horas más ecológicas y económicas. Perfecto para aplicaciones de hogar inteligente y energía, programadores de carga de vehículos eléctricos, paneles de sostenibilidad, computación consciente del carbono y herramientas climáticas. Cubre Gran Bretaña. Sin cuentas, sin clave upstream.

api.oanor.com/carbonintensity-api

Estimate CO2e emissions for everyday activities using the official DEFRA 2023 GHG conversion factors: road and rail travel (per kilometre by vehicle type, split across passengers), flights (by airport IATA pair with great-circle distance, or by distance, across cabin classes and round trips), grid electricity (by kilowatt-hour and country carbon intensity) and direct fuel combustion (by litres and fuel type). A factors endpoint exposes every emission factor, supported vehicle and fuel type, and the country grid-intensity table. Each result returns CO2e in kilograms, tonnes and grams. Every endpoint accepts input via the query string or the request body and returns lean JSON. Pure server-side compute (no third-party upstream), so responses are instant and always available. Ideal for travel and booking flows, sustainability dashboards, ESG and Scope-3 reporting, and carbon-aware product features.

api.oanor.com/carbonfootprint-api