{
"data": {
"type": "estimate-travel-flight",
"iata_airport_from": "SFO",
"airport_from": "San Francisco International Airport",
"iata_airport_to": "KUL",
"airport_to": "Kuala Lumpur International Airport",
"flight_class": "Economy",
"round_trip": "Y",
"add_rf": "Y",
"include_wtt": "Y",
"number_of_passengers": 3,
"co2e_gm": 10284950,
"co2e_kg": 10284.95,
"co2e_mt": 10.28,
"co2e_lb": 22674.41,
"explanation": "This emission profile is computed using the UK Government's 2026 conversion factors for greenhouse gas (GHG) reporting. The calculation is for 3 passengers travelling in Economy class between San Francisco International Airport(SFO) and Kuala Lumpur International Airport(KUL). The distance between these airports is estimated at 13,635 km, utilizing the Haversine equation for Great-Circle Distance (GCD). Since it is a round trip, the distance is doubled to 27,269 km. Radiative forcing uplift is included and indirect/WTT factors are added, as per inputs. Based on these operational parameters, the total footprint evaluates to 10,284,950 grams of CO2e. Standardized metric conversions render this as 10284.95 kg (rounded to two decimal places) or 10.28 metric tons. Scaled against imperial baselines using the conversion factor of 2.20462 (source: GHG conversion factors, 2026), the final metric is expressed as 22674.41 lbs."
},
"success": true,
"status": 200
}
curl --location --request POST 'https://zylalabs.com/api/13723/carbon+emission+calculation+api+for+organizations/31396/flight+travel+estimates?number_of_passengers=3&include_wtt=Y&add_rf=Y&include_wtt=Y&number_of_passengers=3&include_wtt=Y&add_rf=Y&add_rf=Y&round_trip=Y&flight_class=Economy&number_of_passengers=3&round_trip=Y&iata_airport_to=KUL&round_trip=Y&flight_class=Economy&iata_airport_from=SFO&flight_class=Economy&iata_airport_to=KUL&iata_airport_to=KUL' --header 'Authorization: Bearer YOUR_API_KEY'
--data-raw '{
"cluster_name":"KrugerBrent-ConferenceLAX_Jun26",
"iata_airport_from":"DXB",
"iata_airport_to":"LAX",
"flight_class":"Business",
"round_trip":"Y",
"add_rf":"Y",
"include_wtt":"Y",
"number_of_passengers":1
}'
{
"data": {
"type": "estimate-hotel-stay",
"country": "Japan",
"city_name": "Kyoto",
"hotel_rating": 4,
"number_of_nights": 5,
"number_of_rooms": 1,
"co2e_gm": 208850,
"co2e_kg": 208.85,
"co2e_mt": 0.21,
"co2e_lb": 460.43,
"explanation": "CarbonSutra uses the Cornell Hotel Sustainability Benchmarking Index 2026 (CHSB2026) for this calculation, specifically leveraging the mean value from the CHSB validity test for Measure 1 - HCMI Room Night Emission (Carbon Category). Because specific emission factors for Kyoto are unlisted in CHSB2026, fallback data for Japan has been applied to this calculation of one room and 5 nights. This methodology relies on the Expedia Star Rating classification system. Where regional data gaps exist, proxy assignments are made according to the transparent governance rules published on carbonsutra.com. For the hotel rating of four stars, an emission factor of 41.77 kgCO2e per room night is used. This footprint evaluates to 208,850 grams of CO2e. Standardized unit conversions render this as 208.85 kg (rounded to two decimal places) or 0.21 metric tons. Scaled against imperial baselines using the conversion factor of 2.20462 (source: GHG conversion factors, 2026), the final metric is expressed as 460.43 lbs."
},
"success": true,
"status": 200
}
curl --location --request POST 'https://zylalabs.com/api/13723/carbon+emission+calculation+api+for+organizations/31397/hotel+stay+emission+estimates?number_of_rooms=1&country_code=JP&city_name=Kyoto&hotel_rating=4&number_of_nights=5&number_of_rooms=1' --header 'Authorization: Bearer YOUR_API_KEY'
--data-raw '{
"cluster_name": "KrugerBrent-Jun26",
"country_code": "GB",
"city_name": "Manchester",
"hotel_rating": "5",
"number_of_nights": 4,
"number_of_rooms": 1
}'
{
"data": {
"type": "estimate-vehicle-usage",
"vehicle_type": "Car-Type-Executive",
"fuel_type": "Petrol",
"distance_value": 4800,
"distance_unit": "km",
"include_wtt": "Y",
"co2e_gm": 1232352,
"co2e_kg": 1232.35,
"co2e_mt": 1.23,
"co2e_lb": 2716.86,
"explanation": "CarbonSutra computed this emission profile using the UK Government's 2026 conversion factors for greenhouse gas (GHG) reporting. The car is an Executive type, running on petrol. For a transit distance of 4,800 kilometers and with indirect/WTT factors added, the total footprint evaluates to 1,232,352 grams of CO2e. Standardized metric conversions render this as 1232.35 kg (rounded to two decimal places) or 1.23 metric tons. Scaled against imperial baselines using the conversion factor of 2.20462 (source: GHG conversion factors, 2026), the final metric is expressed as 2716.86 lbs."
},
"success": true,
"status": 200
}
curl --location --request POST 'https://zylalabs.com/api/13723/carbon+emission+calculation+api+for+organizations/31398/vehicles+estimates+by+type?distance_value=4800&fuel_type=petrol&vehicle_type=Car-Type-Executive&distance_unit=km' --header 'Authorization: Bearer YOUR_API_KEY'
--data-raw '{
"cluster_name":"KrugerBrent-Exhibition-2025",
"vehicle_type":"Car-Type-Supermini",
"fuel_type":"petrol",
"distance_value":8800,
"distance_unit":"km",
"include_wtt":"N"
}'
{
"data": {
"type": "estimate-vehicle",
"distance_unit": "km",
"distance_value": 2100,
"vehicle_make": "Lexus",
"vehicle_model": "RX 300",
"co2e_gm": 630686,
"co2e_kg": 630.69,
"co2e_mt": 0.63,
"co2e_lb": 1390.43
},
"success": true,
"status": 200
}
curl --location --request POST 'https://zylalabs.com/api/13723/carbon+emission+calculation+api+for+organizations/31399/vehicles+estimates+by+model?vehicle_model=rx 300&distance_unit=km&distance_value=2100&vehicle_make=lexus' --header 'Authorization: Bearer YOUR_API_KEY'
--data-raw '{
"cluster_name":"KB-Oct-2025",
"distance_unit":"km",
"distance_value":9500,
"vehicle_make":"Lexus",
"vehicle_model":"RX 300"
}'
{
"data": {
"type": "estimate-electricity",
"electricity_unit": "MWh",
"electricity_value": 4000,
"country_name": "France",
"co2e_gm": 172000000,
"co2e_kg": 172000,
"co2e_mt": 172,
"co2e_lb": 379194.64
},
"success": true,
"status": 200
}
curl --location --request POST 'https://zylalabs.com/api/13723/carbon+emission+calculation+api+for+organizations/31400/electricity+usage+estimates?country_name=france&electricity_unit=MWH&electricity_value=4000' --header 'Authorization: Bearer YOUR_API_KEY'
--data-raw '{
"country_name":"Germany",
"electricity_unit":"mwh",
"electricity_value":1100
}'
{
"data": {
"type": "estimate-fuel",
"fuel_usage": "gas",
"fuel_name": "CNG",
"fuel_unit": "tonnes",
"fuel_value": "4500",
"co2e_gm": 11284759845,
"co2e_kg": 11284759.85,
"co2e_mt": 11284.76,
"co2e_lb": 24878607.26
},
"success": true,
"status": 200
}
curl --location --request POST 'https://zylalabs.com/api/13723/carbon+emission+calculation+api+for+organizations/31401/fuel+combustion+estimates?fuel_usage=gas&fuel_usage=gas&fuel_name=CNG&fuel_name=CNG&fuel_value=4500&fuel_value=4500' --header 'Authorization: Bearer YOUR_API_KEY'
--data-raw '{
"cluster_name":"KrugerBrent-Plant3A-May26",
"fuel_usage":"liquid",
"fuel_name":"Gas oil",
"fuel_value":7800
}'
{
"data": {
"type": "estimate-freight",
"distance_value": 2000,
"transport_mode": "rail",
"freight_weight": 2235,
"co2e_gm": 98340,
"co2e_kg": 98.34,
"co2e_mt": 0.1,
"co2e_lb": 216.8
},
"success": true,
"status": 200
}
curl --location --request POST 'https://zylalabs.com/api/13723/carbon+emission+calculation+api+for+organizations/31402/freight+shipping+estimates?freight_weight=2235&distance_value=2000&transport_mode=rail&freight_weight=2235&distance_value=2000' --header 'Authorization: Bearer YOUR_API_KEY'
--data-raw '{
"cluster_name":"KrugerBrent-PO72-Feb26",
"transport_mode":"Rail",
"distance_value":1500,
"freight_weight":19000
}'
{
"data": {
"type": "estimate-ecommerce",
"origin_country_code": "SG",
"origin_postal_code": "436915",
"destination_country_code": "IN",
"destination_postal_code": "248001",
"package_weight": 3.5,
"add_rf": "Y",
"include_wtt": "Y",
"co2e_gm": 15,
"co2e_kg": 0.02,
"co2e_mt": 0,
"co2e_lb": 0.04
},
"success": true,
"status": 200
}
curl --location --request POST 'https://zylalabs.com/api/13723/carbon+emission+calculation+api+for+organizations/31403/ecommerce+shipment+estimates?origin_country_code=SG&origin_postal_code=436915&destination_country_code=IN&destination_postal_code=248001&package_weight=3.5&add_rf=Y&include_wtt=Y' --header 'Authorization: Bearer YOUR_API_KEY'
--data-raw '{
"cluster_name": "KrugerBrent_Marketing_Oct25",
"origin_country_code": "IN",
"origin_postal_code": "604407",
"destination_country_code": "SG",
"destination_postal_code": "436915",
"package_weight":24.40,
"add_rf": "Y",
"include_wtt": "Y"
}'
{
"data": {
"airport_from": "San Francisco International Airport",
"closest_airport_code": "SQL",
"closest_airport_name": "San Carlos Airport",
"distance": "16.13"
},
"success": true,
"status": 200
}
curl --location --request GET 'https://zylalabs.com/api/13723/carbon+emission+calculation+api+for+organizations/31404/airport+to+nearest+airport?iata_airport_code=SFO&same_country=Y' --header 'Authorization: Bearer YOUR_API_KEY'
{
"data": [
{
"airport_name": "Dehradun Jolly Grant Airport",
"iata_code": "DED",
"postal_code": "248001",
"address": "Dehradun City Dehradun Uttarakhand",
"distance": "19.69",
"unit": "km"
},
{
"airport_name": "Dehradun Jolly Grant Airport",
"iata_code": "DED",
"postal_code": "248001",
"address": "Kanwali Road Dehradun Uttarakhand",
"distance": "19.69",
"unit": "km"
},
{
"airport_name": "Dehradun Jolly Grant Airport",
"iata_code": "DED",
"postal_code": "248001",
"address": "Patel Nagar (Dehradun) Dehradun Uttarakhand",
"distance": "19.69",
"unit": "km"
},
{
"airport_name": "Dehradun Jolly Grant Airport",
"iata_code": "DED",
"postal_code": "248001",
"address": "CDA(A.F) Dehradun Uttarakhand",
"distance": "19.69",
"unit": "km"
},
{
"airport_name": "Dehradun Jolly Grant Airport",
"iata_code": "DED",
"postal_code": "248001",
"address": "Hathi Barkala Dehradun Uttarakhand",
"distance": "19.69",
"unit": "km"
},
{
"airport_name": "Dehradun Jolly Grant Airport",
"iata_code": "DED",
"postal_code": "248001",
"address": "Neshvilla Road Dehradun Uttarakhand",
"distance": "19.69",
"unit": "km"
},
{
"airport_name": "Dehradun Jolly Grant Airport",
"iata_code": "DED",
"postal_code": "248001",
"address": "Sachivalaya Parisar Dehradun Uttarakhand",
"distance": "19.69",
"unit": "km"
},
{
"airport_name": "Dehradun Jolly Grant Airport",
"iata_code": "DED",
"postal_code": "248001",
"address": "Dalanwala Dehradun Uttarakhand",
"distance": "18.14",
"unit": "km"
},
{
"airport_name": "Dehradun Jolly Grant Airport",
"iata_code": "DED",
"postal_code": "248001",
"address": "Arahat Bazar Dehradun Uttarakhand",
"distance": "19.69",
"unit": "km"
},
{
"airport_name": "Dehradun Jolly Grant Airport",
"iata_code": "DED",
"postal_code": "248001",
"address": "Dehradun IBC Dehradun Uttarakhand",
"distance": "19.69",
"unit": "km"
},
{
"airport_name": "Dehradun Jolly Grant Airport",
"iata_code": "DED",
"postal_code": "248001",
"address": "Rispana Dehradun Uttarakhand",
"distance": "19.69",
"unit": "km"
},
{
"airport_name": "Dehradun Jolly Grant Airport",
"iata_code": "DED",
"postal_code": "248001",
"address": "Nivh Dehradun Uttarakhand",
"distance": "19.69",
"unit": "km"
},
{
"airport_name": "Dehradun Jolly Grant Airport",
"iata_code": "DED",
"postal_code": "248001",
"address": "Karanpur Dehradun Uttarakhand",
"distance": "18.82",
"unit": "km"
},
{
"airport_name": "Dehradun Jolly Grant Airport",
"iata_code": "DED",
"postal_code": "248001",
"address": "Govindgarh (Dehradun) Dehradun Uttarakhand",
"distance": "21.5",
"unit": "km"
},
{
"airport_name": "Dehradun Jolly Grant Airport",
"iata_code": "DED",
"postal_code": "248001",
"address": "Dehradun G.P.O. Dehradun Uttarakhand",
"distance": "19.69",
"unit": "km"
},
{
"airport_name": "Dehradun Jolly Grant Airport",
"iata_code": "DED",
"postal_code": "248001",
"address": "Kanwali Dehradun Uttarakhand",
"distance": "19.69",
"unit": "km"
},
{
"airport_name": "Dehradun Jolly Grant Airport",
"iata_code": "DED",
"postal_code": "248001",
"address": "Dilaram Bazar Dehradun Uttarakhand",
"distance": "19.69",
"unit": "km"
},
{
"airport_name": "Dehradun Jolly Grant Airport",
"iata_code": "DED",
"postal_code": "248001",
"address": "Araghar Dehradun Uttarakhand",
"distance": "17.58",
"unit": "km"
},
{
"airport_name": "Dehradun Jolly Grant Airport",
"iata_code": "DED",
"postal_code": "248001",
"address": "Dehradun Kty Dehradun Uttarakhand",
"distance": "19.69",
"unit": "km"
},
{
"airport_name": "Dehradun Jolly Grant Airport",
"iata_code": "DED",
"postal_code": "248001",
"address": "Sayedwala Dehradun Uttarakhand",
"distance": "19.69",
"unit": "km"
},
{
"airport_name": "Dehradun Jolly Grant Airport",
"iata_code": "DED",
"postal_code": "248001",
"address": "Cannaught Place Dehradun Uttarakhand",
"distance": "19.69",
"unit": "km"
},
{
"airport_name": "Dehradun Jolly Grant Airport",
"iata_code": "DED",
"postal_code": "248001",
"address": "Mothrowala Dehradun Uttarakhand",
"distance": "19.69",
"unit": "km"
},
{
"airport_name": "Dehradun Jolly Grant Airport",
"iata_code": "DED",
"postal_code": "248001",
"address": "Ballupur Dehradun Uttarakhand",
"distance": "22.64",
"unit": "km"
}
],
"success": true,
"status": 200
}
curl --location --request GET 'https://zylalabs.com/api/13723/carbon+emission+calculation+api+for+organizations/31405/postal+code+to+nearest+airport?country_code=IN&postal_code=248001' --header 'Authorization: Bearer YOUR_API_KEY'
{
"data": {
"airport_from": "Ninoy Aquino International Airport",
"airport_to": "Tokyo Haneda International Airport",
"distance": 2996.08
},
"success": true,
"status": 200
}
curl --location --request GET 'https://zylalabs.com/api/13723/carbon+emission+calculation+api+for+organizations/31406/distance+between+two+airports?iata_airport_from=MNL&iata_airport_to=HND' --header 'Authorization: Bearer YOUR_API_KEY'
{
"data": [
{
"iata_code": "DEL",
"airport_name": "Indira Gandhi International Airport"
}
],
"success": true,
"status": 200
}
curl --location --request GET 'https://zylalabs.com/api/13723/carbon+emission+calculation+api+for+organizations/31407/airports+keyword+search?keyword=delhi' --header 'Authorization: Bearer YOUR_API_KEY'
{
"data": [
{
"make": "Acura",
"number_of_models": 51
},
{
"make": "Alfa Romeo",
"number_of_models": 13
},
{
"make": "AM General",
"number_of_models": 4
},
{
"make": "American Motors Corporation",
"number_of_models": 4
},
{
"make": "ASC Incorporated",
"number_of_models": 1
},
{
"make": "Aston Martin",
"number_of_models": 42
},
{
"make": "Audi",
"number_of_models": 170
},
{
"make": "Aurora Cars Ltd",
"number_of_models": 1
},
{
"make": "Autokraft Limited",
"number_of_models": 2
},
{
"make": "Avanti Motor Corporation",
"number_of_models": 1
},
{
"make": "Azure Dynamics",
"number_of_models": 1
},
{
"make": "Bentley",
"number_of_models": 30
},
{
"make": "Bertone",
"number_of_models": 1
},
{
"make": "Bill Dovell Motor Car Company",
"number_of_models": 2
},
{
"make": "Bitter Gmbh and Co. Kg",
"number_of_models": 2
},
{
"make": "BMW",
"number_of_models": 434
},
{
"make": "BMW Alpina",
"number_of_models": 2
},
{
"make": "Bugatti",
"number_of_models": 5
},
{
"make": "Buick",
"number_of_models": 50
},
{
"make": "BYD",
"number_of_models": 1
},
{
"make": "Cadillac",
"number_of_models": 84
},
{
"make": "CCC Engineering",
"number_of_models": 1
},
{
"make": "Chevrolet",
"number_of_models": 277
},
{
"make": "Chrysler",
"number_of_models": 64
},
{
"make": "CODA Automotive",
"number_of_models": 1
},
{
"make": "Consulier Industries Inc",
"number_of_models": 1
},
{
"make": "CX Automotive",
"number_of_models": 7
},
{
"make": "Dabryan Coach Builders Inc",
"number_of_models": 1
},
{
"make": "Dacia",
"number_of_models": 3
},
{
"make": "Daewoo",
"number_of_models": 8
},
{
"make": "Daihatsu",
"number_of_models": 3
},
{
"make": "Dodge",
"number_of_models": 124
},
{
"make": "E. P. Dutton, Inc.",
"number_of_models": 1
},
{
"make": "Eagle",
"number_of_models": 10
},
{
"make": "Environmental Rsch and Devp Corp",
"number_of_models": 1
},
{
"make": "Evans Automobiles",
"number_of_models": 2
},
{
"make": "Excalibur Autos",
"number_of_models": 1
},
{
"make": "Federal Coach",
"number_of_models": 14
},
{
"make": "Ferrari",
"number_of_models": 82
},
{
"make": "Fiat",
"number_of_models": 10
},
{
"make": "Fisker",
"number_of_models": 2
},
{
"make": "Ford",
"number_of_models": 266
},
{
"make": "General Motors",
"number_of_models": 1
},
{
"make": "Genesis",
"number_of_models": 17
},
{
"make": "Geo",
"number_of_models": 15
},
{
"make": "GMC",
"number_of_models": 173
},
{
"make": "Goldacre",
"number_of_models": 1
},
{
"make": "Grumman Allied Industries",
"number_of_models": 1
},
{
"make": "Grumman Olson",
"number_of_models": 1
},
{
"make": "Honda",
"number_of_models": 74
},
{
"make": "Hummer",
"number_of_models": 2
},
{
"make": "Hyundai",
"number_of_models": 112
},
{
"make": "Import Foreign Auto Sales Inc",
"number_of_models": 1
},
{
"make": "Import Trade Services",
"number_of_models": 11
},
{
"make": "INEOS Automotive",
"number_of_models": 2
},
{
"make": "Infiniti",
"number_of_models": 87
},
{
"make": "Isis Imports Ltd",
"number_of_models": 1
},
{
"make": "Isuzu",
"number_of_models": 36
},
{
"make": "J.K. Motors",
"number_of_models": 21
},
{
"make": "Jaguar",
"number_of_models": 105
},
{
"make": "JBA Motorcars, Inc.",
"number_of_models": 1
},
{
"make": "Jeep",
"number_of_models": 78
},
{
"make": "Kandi",
"number_of_models": 1
},
{
"make": "Karma",
"number_of_models": 4
},
{
"make": "Kenyon Corporation Of America",
"number_of_models": 4
},
{
"make": "Kia",
"number_of_models": 81
},
{
"make": "Koenigsegg",
"number_of_models": 2
},
{
"make": "Laforza Automobile Inc",
"number_of_models": 1
},
{
"make": "Lambda Control Systems",
"number_of_models": 1
},
{
"make": "Lamborghini",
"number_of_models": 39
},
{
"make": "Land Rover",
"number_of_models": 76
},
{
"make": "Lexus",
"number_of_models": 112
},
{
"make": "Lincoln",
"number_of_models": 46
},
{
"make": "London Coach Co Inc",
"number_of_models": 1
},
{
"make": "London Taxi",
"number_of_models": 1
},
{
"make": "Lordstown",
"number_of_models": 1
},
{
"make": "Lotus",
"number_of_models": 10
},
{
"make": "Lucid",
"number_of_models": 20
},
{
"make": "Mahindra",
"number_of_models": 1
},
{
"make": "Maserati",
"number_of_models": 59
},
{
"make": "Maybach",
"number_of_models": 6
},
{
"make": "Mazda",
"number_of_models": 83
},
{
"make": "Mcevoy Motors",
"number_of_models": 4
},
{
"make": "McLaren Automotive",
"number_of_models": 27
},
{
"make": "Mercedes-Benz",
"number_of_models": 435
},
{
"make": "Mercury",
"number_of_models": 51
},
{
"make": "Merkur",
"number_of_models": 2
},
{
"make": "MINI",
"number_of_models": 51
},
{
"make": "Mitsubishi",
"number_of_models": 56
},
{
"make": "Mobility Ventures LLC",
"number_of_models": 2
},
{
"make": "Morgan",
"number_of_models": 1
},
{
"make": "Nissan",
"number_of_models": 140
},
{
"make": "Oldsmobile",
"number_of_models": 35
},
{
"make": "Pagani",
"number_of_models": 3
},
{
"make": "Panos",
"number_of_models": 1
},
{
"make": "Panoz Auto-Development",
"number_of_models": 1
},
{
"make": "Panther Car Company Limited",
"number_of_models": 1
},
{
"make": "PAS Inc - GMC",
"number_of_models": 2
},
{
"make": "PAS, Inc",
"number_of_models": 2
},
{
"make": "Peugeot",
"number_of_models": 8
},
{
"make": "Pininfarina",
"number_of_models": 1
},
{
"make": "Plymouth",
"number_of_models": 23
},
{
"make": "Polestar",
"number_of_models": 11
},
{
"make": "Pontiac",
"number_of_models": 60
}
],
"_note": "Response truncated for documentation purposes"
}
curl --location --request GET 'https://zylalabs.com/api/13723/carbon+emission+calculation+api+for+organizations/31408/vehicle+makes' --header 'Authorization: Bearer YOUR_API_KEY'
{
"data": [
{
"model": "CT 200h"
},
{
"model": "ES 250"
},
{
"model": "ES 250 AWD"
},
{
"model": "ES 300"
},
{
"model": "ES 300h"
},
{
"model": "ES 330"
},
{
"model": "ES 350"
},
{
"model": "ES 350 F Sport"
},
{
"model": "GS 200t"
},
{
"model": "GS 200t F Sport"
},
{
"model": "GS 300"
},
{
"model": "GS 300 4WD"
},
{
"model": "GS 300 F Sport"
},
{
"model": "GS 300/GS 400"
},
{
"model": "GS 300/GS 430"
},
{
"model": "GS 350"
},
{
"model": "GS 350 AWD"
},
{
"model": "GS 350 F Sport"
},
{
"model": "GS 430"
},
{
"model": "GS 450h"
},
{
"model": "GS 460"
},
{
"model": "GS F"
},
{
"model": "GS300"
},
{
"model": "GX 460"
},
{
"model": "GX 470"
},
{
"model": "GX 550"
},
{
"model": "HS 250h"
},
{
"model": "IS 200t"
},
{
"model": "IS 250"
},
{
"model": "IS 250 AWD"
},
{
"model": "IS 250 C"
},
{
"model": "IS 250/IS 250C"
},
{
"model": "IS 300"
},
{
"model": "IS 300 AWD"
},
{
"model": "IS 350"
},
{
"model": "IS 350 AWD"
},
{
"model": "IS 350 C"
},
{
"model": "IS 350/IS 350C"
},
{
"model": "IS 500"
},
{
"model": "IS F"
},
{
"model": "LC 500"
},
{
"model": "LC 500 Convertible"
},
{
"model": "LC 500h"
},
{
"model": "LFA"
},
{
"model": "LS 400"
},
{
"model": "LS 430"
},
{
"model": "LS 460"
},
{
"model": "LS 460 AWD"
},
{
"model": "LS 460 L"
},
{
"model": "LS 460 L AWD"
},
{
"model": "LS 500"
},
{
"model": "LS 500 AWD"
},
{
"model": "LS 500h"
},
{
"model": "LS 500h AWD"
},
{
"model": "LS 600h L"
},
{
"model": "LX 450"
},
{
"model": "LX 470"
},
{
"model": "LX 570"
},
{
"model": "LX 600"
},
{
"model": "NX 200t"
},
{
"model": "NX 200t AWD"
},
{
"model": "NX 200t AWD F Sport"
},
{
"model": "NX 250"
},
{
"model": "NX 250 AWD"
},
{
"model": "NX 300"
},
{
"model": "NX 300 AWD"
},
{
"model": "NX 300 AWD F Sport"
},
{
"model": "NX 300h"
},
{
"model": "NX 300h AWD"
},
{
"model": "NX 350 AWD"
},
{
"model": "NX 350 AWD F Sport"
},
{
"model": "NX 350h AWD"
},
{
"model": "NX 450h Plus AWD"
},
{
"model": "RC 200t"
},
{
"model": "RC 300"
},
{
"model": "RC 300 AWD"
},
{
"model": "RC 350"
},
{
"model": "RC 350 AWD"
},
{
"model": "RC F"
},
{
"model": "RX 300"
},
{
"model": "RX 300 4WD"
},
{
"model": "RX 330 2WD"
},
{
"model": "RX 330 4WD"
},
{
"model": "RX 350"
},
{
"model": "RX 350 2WD"
},
{
"model": "RX 350 4WD"
},
{
"model": "RX 350 AWD"
},
{
"model": "RX 350 L"
},
{
"model": "RX 350 L AWD"
},
{
"model": "RX 350h AWD"
},
{
"model": "RX 400h 2WD"
},
{
"model": "RX 400h 4WD"
},
{
"model": "RX 450h"
},
{
"model": "RX 450h AWD"
},
{
"model": "RX 450h L AWD"
},
{
"model": "RX 500h AWD"
},
{
"model": "RZ 300e (18 inch wheels)"
},
{
"model": "RZ 300e (20 inch wheels)"
},
{
"model": "RZ 450e AWD (18 inch wheels)"
},
{
"model": "RZ 450e AWD (20 inch Wheels)"
},
{
"model": "SC"
},
{
"model": "SC 300/SC 400"
},
{
"model": "SC 300/SC 430"
},
{
"model": "SC 430"
},
{
"model": "TX 350"
},
{
"model": "TX 350 AWD"
},
{
"model": "TX 500h AWD"
},
{
"model": "UX 200"
},
{
"model": "UX 250h"
},
{
"model": "UX 250h AWD"
},
{
"model": "UX 300h"
},
{
"model": "UX 300h AWD"
}
],
"success": true,
"status": 200
}
curl --location --request GET 'https://zylalabs.com/api/13723/carbon+emission+calculation+api+for+organizations/31409/vehicle+models&vehicle_make=Required' --header 'Authorization: Bearer YOUR_API_KEY'
--data-raw '{}'
{
"data": {
"airport_from": "Los Angeles International Airport",
"airport_to": "Singapore Changi Airport",
"estimated_formatted": "17 hours 27 minutes",
"hours": 17,
"minutes": 27,
"totalMinutes": 1047
},
"success": true,
"status": 200
}
curl --location --request GET 'https://zylalabs.com/api/13723/carbon+emission+calculation+api+for+organizations/31410/estimated+flight+time+between+airports?iata_airport_from=LAX&iata_airport_to=SIN&iata_airport_to=SIN' --header 'Authorization: Bearer YOUR_API_KEY'
After signing up, every developer is assigned a personal API access key, a unique combination of letters and digits provided to access to our API endpoint. To authenticate with the Carbon Emission Calculation API for Organizations simply include your bearer token in the Authorization header.
| Header | Description |
|---|---|
Authorization
|
Required
Should be Bearer access_key. See "Your API Access Key" above when you are subscribed.
|
No long-term commitment. Upgrade, downgrade, or cancel anytime. Free Trial includes up to 50 requests.
(Save 2 months with annual billing 🎉)
Carbon footprint estimation for business travel, global hotel stays, vehicles usage, freight, eCommerce, shipments, fuel and electricity with supplementary APIs on airports and clustering results.
Each endpoint returns estimated greenhouse gas emissions (CO2e) in multiple units (grams, kilograms, metric tons, pounds) based on specific parameters like flight details, hotel stays, vehicle types, and electricity usage. For example, the Flight Travel Estimates endpoint provides emissions based on airport codes, flight class, and passenger count.
Key fields in the response data include "co2e_gm," "co2e_kg," "co2e_mt," and "co2e_lb," which represent emissions in different units. Other fields may include details like "airport_from," "airport_to," "hotel_rating," and "vehicle_type," depending on the endpoint used.
Parameters vary by endpoint but generally include inputs like "airport codes," "flight class," "number of passengers," "country name," "fuel type," and "distance value." For instance, the Hotel Stay Estimates endpoint requires "country," "number of nights," and "hotel rating."
The response data is structured in a JSON format, with a "data" object containing specific attributes related to the emission estimate. Each estimate type has its own structure, detailing the parameters used and the calculated emissions, making it easy to parse and utilize.
Data sources include government publications and standards such as the UK Government's GHG conversion factors, Cornell Hotel Sustainability Benchmark Index, and various environmental agencies. This ensures that the emissions calculations are based on reliable and up-to-date information.
Typical use cases include corporate sustainability reporting, compliance with environmental regulations, and analysis of carbon footprints for travel, accommodation, and logistics. Organizations can use this data to identify areas for emissions reduction and improve their sustainability strategies.
Users can customize requests by specifying parameters relevant to their needs, such as selecting different vehicle makes/models, adjusting flight classes, or choosing specific countries for hotel stays. This flexibility allows for tailored emissions calculations based on unique organizational activities.
Users can utilize the returned data for reporting and analysis by integrating it into sustainability dashboards, compliance reports, or decision-making tools. The structured format allows for easy extraction of key metrics, enabling organizations to track and manage their carbon emissions effectively.
To obtain your API key, first sign in to your account and navigate to the API you want to use. From the API's Pricing section, choose a plan and complete the subscription process. Once subscribed, return to the API page and you will see your API Access Key displayed at the top of the documentation page. You can use this key to authenticate your requests.
You can’t switch APIs during the free trial. If you subscribe to a different API, your trial will end and the new subscription will start as a paid plan.
The free trial lasts for 7 days and allows you to make up to 50 API requests.
No, the free trial is available only once, so we recommend using it on the API that interests you the most. Most of our APIs offer a free trial, but some may not include this option.
Yes. If the API offers a free trial, you will see a "Free 7-Day Trial" option in its Pricing section. The trial lasts for 7 days and allows up to 50 API requests, enabling you to evaluate the API before subscribing to a paid plan.
Zyla API Hub is like a big store for APIs, where you can find thousands of them all in one place. We also offer dedicated support and real-time monitoring of all APIs. Once you sign up, you can pick and choose which APIs you want to use. Just remember, each API needs its own subscription. But if you subscribe to multiple ones, you'll use the same key for all of them, making things easier for you.
You can monitor your API usage through the response headers included with every request:
x-zyla-api-calls-monthly-used: Shows the total number of API requests you have used during the current billing period.
x-zyla-api-calls-monthly-remaining: Shows the number of API requests you have remaining for the current billing period.
Yes, you can cancel your subscription at any time. Simply go to the Pricing section of the API you're subscribed to and click the "Unsubscribe" button.
Please note that upgrades, downgrades, and cancellations take effect immediately. Once your subscription is canceled, access to the service will end immediately, regardless of any remaining API calls in your quota.
Please have a look at our Refund Policy: https://zylalabs.com/terms#refund