{
"activity": "Diesel (100% mineral diesel)",
"amount": 40,
"unit": "litres",
"region": "GB",
"year": 2025,
"co2e_kg": 106.462,
"co2e_tonnes": 0.106462,
"factor": {
"id": "defra-2025-fuels-liquid-fuels-diesel-100-mineral-diesel-litres",
"co2e_kg_per_unit": 2.66155,
"unit": "litres",
"region": "GB",
"year": 2025,
"scope": 1,
"category": "Fuels",
"data_quality": {
"tier": "A",
"score": 9,
"max": 9,
"basis": [
"national government dataset",
"vintage 2025",
"activity-specific"
],
"note": "heuristic (authority x specificity x vintage); not statistical uncertainty"
}
},
"notes": [
"selected by factor_id"
]
}
curl --location --request GET 'https://zylalabs.com/api/13267/carbon+footprint+and+emission+factor+api/27322/estimate+co2e?amount=40&unit=litres&activity=diesel®ion=GB&year=2025&factor_id=defra-2025-fuels-liquid-fuels-diesel-100-mineral-diesel-litres' --header 'Authorization: Bearer YOUR_API_KEY'
{
"amount": 5000,
"currency": "USD",
"year": "2024",
"category": "Data Processing, Hosting, and Related Services",
"naics": "518210",
"co2e_kg": 433.82,
"co2e_tonnes": 0.43382,
"factor": {
"naics": "518210",
"title": "Data Processing, Hosting, and Related Services",
"kg_co2e_per_usd": 0.093,
"ref_year": 2022,
"basis": "purchaser price (with margins)"
},
"notes": [
"inflation-adjusted 5000.0 USD (2024) -> 4664.73 in 2022 USD (US CPI-U)"
]
}
curl --location --request GET 'https://zylalabs.com/api/13267/carbon+footprint+and+emission+factor+api/27323/spend-based+scope+3?amount=5000&category=cloud hosting&naics=518210¤cy=USD&year=2024' --header 'Authorization: Bearer YOUR_API_KEY'
{
"mode": "road",
"weight_tonnes": 12,
"distance_km": 300,
"tonne_km": 3600,
"co2e_kg": 365.868,
"co2e_tonnes": 0.365868,
"method": "ISO 14083 / GLEC (distance x weight x freight factor)",
"factor": {
"id": "defra-2025-freighting-goods-hgv-all-diesel-all-hgvs-average-laden-tonne-km",
"path": "Freighting goods / HGV (all diesel) / All HGVs (Average laden)",
"kg_co2e_per_tonne_km": 0.10163
},
"notes": [
"mode 'road' -> Freighting goods / HGV (all diesel) / All HGVs (Average laden)",
"47 other road factors exist; pass factor_id to pin one"
]
}
curl --location --request GET 'https://zylalabs.com/api/13267/carbon+footprint+and+emission+factor+api/27324/freight+co2e?mode=road&weight_tonnes=12&distance_km=300' --header 'Authorization: Bearer YOUR_API_KEY'
{
"from": "LHR",
"from_name": "London Heathrow Airport",
"to": "JFK",
"to_name": "John F. Kennedy International Airport",
"distance_km": 5539.8,
"haul": "Long-haul",
"class": "economy",
"passengers": 1,
"round_trip": false,
"passenger_km": 5539.8,
"co2_only_kg": 383.6886,
"co2e_kg": 729.0083,
"co2e_tonnes": 0.729008,
"rf_multiplier": 1.9,
"official_with_rf_kg": 648.3816,
"factor": {
"id": "defra-2025-business-travel-air-flights-long-haul-to-from-uk-economy-class-without-rf-passenger-km",
"path": "Business travel- air / Flights / Long-haul, to/from UK / Economy class (Without RF)",
"kg_co2_per_passenger_km_without_rf": 0.06926
},
"notes": [
"haul 'Long-haul' by great-circle distance; to/from-UK factor used",
"rf=1.9 radiative-forcing multiplier applied to the CO2 base"
]
}
curl --location --request GET 'https://zylalabs.com/api/13267/carbon+footprint+and+emission+factor+api/27325/flight+co2e?from=LHR&to=JFK&distance_km=5540&class=economy&passengers=1&round_trip=false&rf=1.9' --header 'Authorization: Bearer YOUR_API_KEY'
{
"gas": "R-410A",
"gwp": 2255.5,
"assessment": "AR6",
"horizon_years": 100,
"components": {
"HFC-32": {
"fraction": 0.5,
"gwp": 771
},
"HFC-125": {
"fraction": 0.5,
"gwp": 3740
}
},
"kg": 5,
"co2e_kg": 11277.5,
"co2e_tonnes": 11.2775
}
curl --location --request GET 'https://zylalabs.com/api/13267/carbon+footprint+and+emission+factor+api/27326/refrigerant+gwp?gas=R-410A&kg=5&assessment=AR6&horizon=100' --header 'Authorization: Bearer YOUR_API_KEY'
{
"count": 8,
"query": "natural gas",
"results": [
{
"activity": "natural-gas",
"activity_label": "Natural gas",
"category": "Fuels",
"co2e_kg_per_unit": 2.06672,
"gas_breakdown": {
"ch4": 0.00307,
"co2": 2.0627,
"n2o": 0.00095
},
"id": "defra-2025-fuels-gaseous-fuels-natural-gas-cubic-metres",
"path": "Fuels / Gaseous fuels / Natural gas",
"region": "GB",
"scope": 1,
"unit": "cubic metres",
"year": 2025,
"data_quality": {
"tier": "A",
"score": 9,
"max": 9,
"basis": [
"national government dataset",
"vintage 2025",
"activity-specific"
],
"note": "heuristic (authority x specificity x vintage); not statistical uncertainty"
}
},
{
"activity": "natural-gas",
"activity_label": "Natural gas",
"category": "Fuels",
"co2e_kg_per_unit": 0.18296,
"gas_breakdown": {
"ch4": 0.00028,
"co2": 0.18259,
"n2o": 9.0e-5
},
"id": "defra-2025-fuels-gaseous-fuels-natural-gas-kwh-gross-cv",
"path": "Fuels / Gaseous fuels / Natural gas",
"region": "GB",
"scope": 1,
"unit": "kWh (Gross CV)",
"year": 2025,
"data_quality": {
"tier": "A",
"score": 9,
"max": 9,
"basis": [
"national government dataset",
"vintage 2025",
"activity-specific"
],
"note": "heuristic (authority x specificity x vintage); not statistical uncertainty"
}
},
{
"activity": "natural-gas",
"activity_label": "Natural gas",
"category": "Fuels",
"co2e_kg_per_unit": 0.2027,
"gas_breakdown": {
"ch4": 0.00031,
"co2": 0.20229,
"n2o": 0.0001
},
"id": "defra-2025-fuels-gaseous-fuels-natural-gas-kwh-net-cv",
"path": "Fuels / Gaseous fuels / Natural gas",
"region": "GB",
"scope": 1,
"unit": "kWh (Net CV)",
"year": 2025,
"data_quality": {
"tier": "A",
"score": 9,
"max": 9,
"basis": [
"national government dataset",
"vintage 2025",
"activity-specific"
],
"note": "heuristic (authority x specificity x vintage); not statistical uncertainty"
}
},
{
"activity": "natural-gas",
"activity_label": "Natural gas",
"category": "Fuels",
"co2e_kg_per_unit": 2575.46441,
"gas_breakdown": {
"ch4": 3.8528,
"co2": 2570.42,
"n2o": 1.19161
},
"id": "defra-2025-fuels-gaseous-fuels-natural-gas-tonnes",
"path": "Fuels / Gaseous fuels / Natural gas",
"region": "GB",
"scope": 1,
"unit": "tonnes",
"year": 2025,
"data_quality": {
"tier": "A",
"score": 9,
"max": 9,
"basis": [
"national government dataset",
"vintage 2025",
"activity-specific"
],
"note": "heuristic (authority x specificity x vintage); not statistical uncertainty"
}
},
{
"activity": "natural-gas-100-mineral-blend",
"activity_label": "Natural gas (100% mineral blend)",
"category": "Fuels",
"co2e_kg_per_unit": 2.08906,
"gas_breakdown": {
"ch4": 0.00307,
"co2": 2.08504,
"n2o": 0.00095
},
"id": "defra-2025-fuels-gaseous-fuels-natural-gas-100-mineral-blend-cubic-metres",
"path": "Fuels / Gaseous fuels / Natural gas (100% mineral blend)",
"region": "GB",
"scope": 1,
"unit": "cubic metres",
"year": 2025,
"data_quality": {
"tier": "A",
"score": 9,
"max": 9,
"basis": [
"national government dataset",
"vintage 2025",
"activity-specific"
],
"note": "heuristic (authority x specificity x vintage); not statistical uncertainty"
}
},
{
"activity": "natural-gas-100-mineral-blend",
"activity_label": "Natural gas (100% mineral blend)",
"category": "Fuels",
"co2e_kg_per_unit": 0.18494,
"gas_breakdown": {
"ch4": 0.00028,
"co2": 0.18457,
"n2o": 9.0e-5
},
"id": "defra-2025-fuels-gaseous-fuels-natural-gas-100-mineral-blend-kwh-gross-cv",
"path": "Fuels / Gaseous fuels / Natural gas (100% mineral blend)",
"region": "GB",
"scope": 1,
"unit": "kWh (Gross CV)",
"year": 2025,
"data_quality": {
"tier": "A",
"score": 9,
"max": 9,
"basis": [
"national government dataset",
"vintage 2025",
"activity-specific"
],
"note": "heuristic (authority x specificity x vintage); not statistical uncertainty"
}
},
{
"activity": "natural-gas-100-mineral-blend",
"activity_label": "Natural gas (100% mineral blend)",
"category": "Fuels",
"co2e_kg_per_unit": 0.20489,
"gas_breakdown": {
"ch4": 0.00031,
"co2": 0.20448,
"n2o": 0.0001
},
"id": "defra-2025-fuels-gaseous-fuels-natural-gas-100-mineral-blend-kwh-net-cv",
"path": "Fuels / Gaseous fuels / Natural gas (100% mineral blend)",
"region": "GB",
"scope": 1,
"unit": "kWh (Net CV)",
"year": 2025,
"data_quality": {
"tier": "A",
"score": 9,
"max": 9,
"basis": [
"national government dataset",
"vintage 2025",
"activity-specific"
],
"note": "heuristic (authority x specificity x vintage); not statistical uncertainty"
}
},
{
"activity": "natural-gas-100-mineral-blend",
"activity_label": "Natural gas (100% mineral blend)",
"category": "Fuels",
"co2e_kg_per_unit": 2603.30441,
"gas_breakdown": {
"ch4": 3.8528,
"co2": 2598.26,
"n2o": 1.19161
},
"id": "defra-2025-fuels-gaseous-fuels-natural-gas-100-mineral-blend-tonnes",
"path": "Fuels / Gaseous fuels / Natural gas (100% mineral blend)",
"region": "GB",
"scope": 1,
"unit": "tonnes",
"year": 2025,
"data_quality": {
"tier": "A",
"score": 9,
"max": 9,
"basis": [
"national government dataset",
"vintage 2025",
"activity-specific"
],
"note": "heuristic (authority x specificity x vintage); not statistical uncertainty"
}
}
]
}
curl --location --request GET 'https://zylalabs.com/api/13267/carbon+footprint+and+emission+factor+api/27327/search+factors?q=natural gas&category=Fuels®ion=GB' --header 'Authorization: Bearer YOUR_API_KEY'
{
"id": "defra-2025-fuels-liquid-fuels-diesel-100-mineral-diesel-litres",
"identity": "fuels-liquid-fuels-diesel-100-mineral-diesel-litres",
"from_year": 2023,
"to_year": 2025,
"from_value": 2.659372,
"to_value": 2.66155,
"absolute_change": 0.002178,
"percent_change": 0.08,
"unit": "litres"
}
curl --location --request GET 'https://zylalabs.com/api/13267/carbon+footprint+and+emission+factor+api/27328/factor+diff?id=defra-2025-fuels-liquid-fuels-diesel-100-mineral-diesel-litres&from=2023&to=2025' --header 'Authorization: Bearer YOUR_API_KEY'
{
"count": 7,
"query": "consulting",
"results": [
{
"naics": "541613",
"title": "Marketing Consulting Services",
"kg_co2e_per_usd": 0.078
},
{
"naics": "541620",
"title": "Environmental Consulting Services",
"kg_co2e_per_usd": 0.09
},
{
"naics": "541612",
"title": "Human Resources Consulting Services",
"kg_co2e_per_usd": 0.078
},
{
"naics": "541618",
"title": "Other Management Consulting Services",
"kg_co2e_per_usd": 0.078
},
{
"naics": "541690",
"title": "Other Scientific and Technical Consulting Services",
"kg_co2e_per_usd": 0.09
},
{
"naics": "541614",
"title": "Process, Physical Distribution, and Logistics Consulting Services",
"kg_co2e_per_usd": 0.078
},
{
"naics": "541611",
"title": "Administrative Management and General Management Consulting Services",
"kg_co2e_per_usd": 0.078
}
]
}
curl --location --request GET 'https://zylalabs.com/api/13267/carbon+footprint+and+emission+factor+api/27329/search+industries+-naics?q=consulting&limit=20' --header 'Authorization: Bearer YOUR_API_KEY'
{
"region": "US",
"iso3": "USA",
"year": 2025,
"gco2_per_kwh": 384.4,
"kg_co2e_per_kwh": 0.3844,
"available_years": [
2000,
2025
]
}
curl --location --request GET 'https://zylalabs.com/api/13267/carbon+footprint+and+emission+factor+api/27330/grid+intensity+-+annual?region=US&year=2025' --header 'Authorization: Bearer YOUR_API_KEY'
{
"zone": "FR",
"eic": "10YFR-RTE------C",
"gco2_per_kwh": 10.2,
"kg_co2e_per_kwh": 0.010195,
"method": "computed from actual generation per production type x direct fuel CO2 factors (estimate; renewables/nuclear ~ 0)",
"mix": [
{
"production_type": "B14",
"mw": 36584.4,
"gco2_per_kwh": 0
},
{
"production_type": "B16",
"mw": 20653.2,
"gco2_per_kwh": 0
},
{
"production_type": "B19",
"mw": 2681.9,
"gco2_per_kwh": 0
},
{
"production_type": "B11",
"mw": 2048.3,
"gco2_per_kwh": 0
},
{
"production_type": "B04",
"mw": 811.5,
"gco2_per_kwh": 450
},
{
"production_type": "B17",
"mw": 391.6,
"gco2_per_kwh": 500
},
{
"production_type": "B01",
"mw": 284.3,
"gco2_per_kwh": 230
},
{
"production_type": "B12",
"mw": 269.9,
"gco2_per_kwh": 0
},
{
"production_type": "B18",
"mw": 120.2,
"gco2_per_kwh": 0
},
{
"production_type": "B25",
"mw": 47.1,
"gco2_per_kwh": 0
},
{
"production_type": "B06",
"mw": 34.2,
"gco2_per_kwh": 750
},
{
"production_type": "B10",
"mw": 25.3,
"gco2_per_kwh": 0
}
]
}
curl --location --request GET 'https://zylalabs.com/api/13267/carbon+footprint+and+emission+factor+api/27331/live+grid+intensity?zone=FR' --header 'Authorization: Bearer YOUR_API_KEY'
{
"zone": "GB",
"hours": 24,
"periods": [
{
"from": "2026-07-22T14:00Z",
"to": "2026-07-22T14:30Z",
"gco2_per_kwh": 85,
"index": "low"
},
{
"from": "2026-07-22T14:30Z",
"to": "2026-07-22T15:00Z",
"gco2_per_kwh": 84,
"index": "low"
},
{
"from": "2026-07-22T15:00Z",
"to": "2026-07-22T15:30Z",
"gco2_per_kwh": 86,
"index": "low"
},
{
"from": "2026-07-22T15:30Z",
"to": "2026-07-22T16:00Z",
"gco2_per_kwh": 92,
"index": "moderate"
},
{
"from": "2026-07-22T16:00Z",
"to": "2026-07-22T16:30Z",
"gco2_per_kwh": 106,
"index": "moderate"
},
{
"from": "2026-07-22T16:30Z",
"to": "2026-07-22T17:00Z",
"gco2_per_kwh": 132,
"index": "moderate"
},
{
"from": "2026-07-22T17:00Z",
"to": "2026-07-22T17:30Z",
"gco2_per_kwh": 152,
"index": "moderate"
},
{
"from": "2026-07-22T17:30Z",
"to": "2026-07-22T18:00Z",
"gco2_per_kwh": 166,
"index": "moderate"
},
{
"from": "2026-07-22T18:00Z",
"to": "2026-07-22T18:30Z",
"gco2_per_kwh": 172,
"index": "high"
},
{
"from": "2026-07-22T18:30Z",
"to": "2026-07-22T19:00Z",
"gco2_per_kwh": 182,
"index": "high"
},
{
"from": "2026-07-22T19:00Z",
"to": "2026-07-22T19:30Z",
"gco2_per_kwh": 193,
"index": "high"
},
{
"from": "2026-07-22T19:30Z",
"to": "2026-07-22T20:00Z",
"gco2_per_kwh": 197,
"index": "high"
},
{
"from": "2026-07-22T20:00Z",
"to": "2026-07-22T20:30Z",
"gco2_per_kwh": 205,
"index": "high"
},
{
"from": "2026-07-22T20:30Z",
"to": "2026-07-22T21:00Z",
"gco2_per_kwh": 210,
"index": "high"
},
{
"from": "2026-07-22T21:00Z",
"to": "2026-07-22T21:30Z",
"gco2_per_kwh": 212,
"index": "high"
},
{
"from": "2026-07-22T21:30Z",
"to": "2026-07-22T22:00Z",
"gco2_per_kwh": 211,
"index": "high"
},
{
"from": "2026-07-22T22:00Z",
"to": "2026-07-22T22:30Z",
"gco2_per_kwh": 208,
"index": "high"
},
{
"from": "2026-07-22T22:30Z",
"to": "2026-07-22T23:00Z",
"gco2_per_kwh": 200,
"index": "high"
},
{
"from": "2026-07-22T23:00Z",
"to": "2026-07-22T23:30Z",
"gco2_per_kwh": 197,
"index": "high"
},
{
"from": "2026-07-22T23:30Z",
"to": "2026-07-23T00:00Z",
"gco2_per_kwh": 195,
"index": "high"
},
{
"from": "2026-07-23T00:00Z",
"to": "2026-07-23T00:30Z",
"gco2_per_kwh": 192,
"index": "high"
},
{
"from": "2026-07-23T00:30Z",
"to": "2026-07-23T01:00Z",
"gco2_per_kwh": 191,
"index": "high"
},
{
"from": "2026-07-23T01:00Z",
"to": "2026-07-23T01:30Z",
"gco2_per_kwh": 186,
"index": "high"
},
{
"from": "2026-07-23T01:30Z",
"to": "2026-07-23T02:00Z",
"gco2_per_kwh": 176,
"index": "high"
},
{
"from": "2026-07-23T02:00Z",
"to": "2026-07-23T02:30Z",
"gco2_per_kwh": 163,
"index": "moderate"
},
{
"from": "2026-07-23T02:30Z",
"to": "2026-07-23T03:00Z",
"gco2_per_kwh": 149,
"index": "moderate"
},
{
"from": "2026-07-23T03:00Z",
"to": "2026-07-23T03:30Z",
"gco2_per_kwh": 132,
"index": "moderate"
},
{
"from": "2026-07-23T03:30Z",
"to": "2026-07-23T04:00Z",
"gco2_per_kwh": 118,
"index": "moderate"
},
{
"from": "2026-07-23T04:00Z",
"to": "2026-07-23T04:30Z",
"gco2_per_kwh": 109,
"index": "moderate"
},
{
"from": "2026-07-23T04:30Z",
"to": "2026-07-23T05:00Z",
"gco2_per_kwh": 108,
"index": "moderate"
},
{
"from": "2026-07-23T05:00Z",
"to": "2026-07-23T05:30Z",
"gco2_per_kwh": 119,
"index": "moderate"
},
{
"from": "2026-07-23T05:30Z",
"to": "2026-07-23T06:00Z",
"gco2_per_kwh": 127,
"index": "moderate"
},
{
"from": "2026-07-23T06:00Z",
"to": "2026-07-23T06:30Z",
"gco2_per_kwh": 147,
"index": "moderate"
},
{
"from": "2026-07-23T06:30Z",
"to": "2026-07-23T07:00Z",
"gco2_per_kwh": 149,
"index": "moderate"
},
{
"from": "2026-07-23T07:00Z",
"to": "2026-07-23T07:30Z",
"gco2_per_kwh": 152,
"index": "moderate"
},
{
"from": "2026-07-23T07:30Z",
"to": "2026-07-23T08:00Z",
"gco2_per_kwh": 148,
"index": "moderate"
},
{
"from": "2026-07-23T08:00Z",
"to": "2026-07-23T08:30Z",
"gco2_per_kwh": 142,
"index": "moderate"
},
{
"from": "2026-07-23T08:30Z",
"to": "2026-07-23T09:00Z",
"gco2_per_kwh": 128,
"index": "moderate"
},
{
"from": "2026-07-23T09:00Z",
"to": "2026-07-23T09:30Z",
"gco2_per_kwh": 122,
"index": "moderate"
},
{
"from": "2026-07-23T09:30Z",
"to": "2026-07-23T10:00Z",
"gco2_per_kwh": 117,
"index": "moderate"
},
{
"from": "2026-07-23T10:00Z",
"to": "2026-07-23T10:30Z",
"gco2_per_kwh": 114,
"index": "moderate"
},
{
"from": "2026-07-23T10:30Z",
"to": "2026-07-23T11:00Z",
"gco2_per_kwh": 116,
"index": "moderate"
},
{
"from": "2026-07-23T11:00Z",
"to": "2026-07-23T11:30Z",
"gco2_per_kwh": 118,
"index": "moderate"
},
{
"from": "2026-07-23T11:30Z",
"to": "2026-07-23T12:00Z",
"gco2_per_kwh": 116,
"index": "moderate"
},
{
"from": "2026-07-23T12:00Z",
"to": "2026-07-23T12:30Z",
"gco2_per_kwh": 115,
"index": "moderate"
},
{
"from": "2026-07-23T12:30Z",
"to": "2026-07-23T13:00Z",
"gco2_per_kwh": 114,
"index": "moderate"
},
{
"from": "2026-07-23T13:00Z",
"to": "2026-07-23T13:30Z",
"gco2_per_kwh": 114,
"index": "moderate"
},
{
"from": "2026-07-23T13:30Z",
"to": "2026-07-23T14:00Z",
"gco2_per_kwh": 116,
"index": "moderate"
}
]
}
curl --location --request GET 'https://zylalabs.com/api/13267/carbon+footprint+and+emission+factor+api/27332/grid+forecast?zone=GB&hours=24' --header 'Authorization: Bearer YOUR_API_KEY'
{
"zone": "GB",
"duration_hours": 3,
"within_hours": 24,
"best_window": {
"from": "2026-07-22T13:00Z",
"to": "2026-07-22T16:00Z",
"avg_gco2_per_kwh": 81.3,
"index": "low"
},
"period_avg_gco2_per_kwh": 143.5,
"savings_vs_average_pct": 43.3,
"recommendation": "Run your 3.0h load starting 2026-07-22T13:00Z (UTC) - ~43.3% lower carbon than the 24h average."
}
curl --location --request GET 'https://zylalabs.com/api/13267/carbon+footprint+and+emission+factor+api/27333/best+time+to+run?duration=3&within=24&zone=GB' --header 'Authorization: Bearer YOUR_API_KEY'
{
"zone": "GB",
"hours": 4,
"co2e_kg": 0.6491,
"co2e_tonnes": 0.000649,
"co2e_kg_if_flat_average": 0.6208,
"note": "Time-of-use weighted using the GB forecast starting now.",
"breakdown": [
{
"hour": 0,
"kwh": 1.2,
"gco2_per_kwh": 84.5,
"co2e_kg": 0.1014
},
{
"hour": 1,
"kwh": 0.8,
"gco2_per_kwh": 89,
"co2e_kg": 0.0712
},
{
"hour": 2,
"kwh": 2,
"gco2_per_kwh": 119,
"co2e_kg": 0.238
},
{
"hour": 3,
"kwh": 1.5,
"gco2_per_kwh": 159,
"co2e_kg": 0.2385
}
]
}
curl --location --request GET 'https://zylalabs.com/api/13267/carbon+footprint+and+emission+factor+api/27334/time-weighted+footprint?zone=GB&profile=1.2,0.8,2.0,1.5' --header 'Authorization: Bearer YOUR_API_KEY'
{
"categories": [
{
"factors": 49,
"name": "Bioenergy"
},
{
"factors": 28,
"name": "Business travel- air"
},
{
"factors": 168,
"name": "Business travel- land"
},
{
"factors": 3,
"name": "Business travel- sea"
},
{
"factors": 162,
"name": "Delivery vehicles"
},
{
"factors": 213,
"name": "Electricity"
},
{
"factors": 289,
"name": "Freighting goods"
},
{
"factors": 117,
"name": "Fuels"
},
{
"factors": 2,
"name": "Heat and steam"
},
{
"factors": 3,
"name": "Homeworking"
},
{
"factors": 39,
"name": "Hotel stay"
},
{
"factors": 1,
"name": "Managed assets- electricity"
},
{
"factors": 237,
"name": "Managed assets- vehicles"
},
{
"factors": 70,
"name": "Material use"
},
{
"factors": 156,
"name": "Passenger vehicles"
},
{
"factors": 359,
"name": "Refrigerant & other"
},
{
"factors": 63,
"name": "Stationary Combustion"
},
{
"factors": 2,
"name": "Transmission and distribution"
},
{
"factors": 1,
"name": "UK electricity"
},
{
"factors": 68,
"name": "UK electricity T&D for EVs"
},
{
"factors": 68,
"name": "UK electricity for EVs"
},
{
"factors": 2,
"name": "WTT- UK electricity"
},
{
"factors": 49,
"name": "WTT- bioenergy"
},
{
"factors": 28,
"name": "WTT- business travel- air"
},
{
"factors": 3,
"name": "WTT- business travel- sea"
},
{
"factors": 289,
"name": "WTT- delivery vehs & freight"
},
{
"factors": 114,
"name": "WTT- fuels"
},
{
"factors": 3,
"name": "WTT- heat and steam"
},
{
"factors": 168,
"name": "WTT- pass vehs & travel- land"
},
{
"factors": 134,
"name": "Waste disposal"
},
{
"factors": 2,
"name": "Water supply"
},
{
"factors": 2,
"name": "Water treatment"
}
],
"grid_regions": [
"ABW",
"AFG",
"AGO",
"ARE",
"ARG",
"ARM",
"ASM",
"ATG",
"AUS",
"AUT",
"AZE",
"BDI",
"BEL",
"BEN",
"BFA",
"BGD",
"BGR",
"BHR",
"BHS",
"BIH",
"BLR",
"BLZ",
"BMU",
"BOL",
"BRA",
"BRB",
"BRN",
"BTN",
"BWA",
"CAF",
"CAN",
"CHE",
"CHL",
"CHN",
"CIV",
"CMR",
"COD",
"COG",
"COK",
"COL",
"COM",
"CPV",
"CRI",
"CUB",
"CYM",
"CYP",
"CZE",
"DEU",
"DJI",
"DMA",
"DNK",
"DOM",
"DZA",
"ECU",
"EGY",
"ERI",
"ESH",
"ESP",
"EST",
"ETH",
"FIN",
"FJI",
"FLK",
"FRA",
"FRO",
"GAB",
"GBR",
"GEO",
"GHA",
"GIB",
"GIN",
"GLP",
"GMB",
"GNB",
"GNQ",
"GRC",
"GRD",
"GRL",
"GTM",
"GUF",
"GUM",
"GUY",
"HKG",
"HND",
"HRV",
"HTI",
"HUN",
"IDN",
"IND",
"IRL",
"IRN",
"IRQ",
"ISL",
"ISR",
"ITA",
"JAM",
"JOR",
"JPN",
"KAZ",
"KEN",
"KGZ",
"KHM",
"KIR",
"KNA",
"KOR",
"KWT",
"LAO",
"LBN",
"LBR",
"LBY",
"LCA",
"LKA",
"LSO",
"LTU",
"LUX",
"LVA",
"MAC",
"MAR",
"MDA",
"MDG",
"MDV",
"MEX",
"MKD",
"MLI",
"MLT",
"MMR",
"MNE",
"MNG",
"MOZ",
"MRT",
"MSR",
"MTQ",
"MUS",
"MWI",
"MYS",
"NAM",
"NCL",
"NER",
"NGA",
"NIC",
"NLD",
"NOR",
"NPL",
"NRU",
"NZL",
"OMN",
"PAK",
"PAN",
"PER",
"PHL",
"PNG",
"POL",
"PRI",
"PRK",
"PRT",
"PRY",
"PSE",
"PYF",
"QAT",
"REU",
"ROU",
"RUS",
"RWA",
"SAU",
"SDN",
"SEN",
"SGP",
"SHN",
"SLB",
"SLE",
"SLV",
"SOM",
"SPM",
"SRB",
"SSD",
"STP",
"SUR",
"SVK",
"SVN",
"SWE",
"SWZ",
"SYC",
"SYR",
"TCA",
"TCD",
"TGO",
"THA",
"TJK",
"TKM",
"TLS",
"TON",
"TTO",
"TUN",
"TUR",
"TWN",
"TZA",
"UGA",
"UKR",
"URY",
"USA",
"UZB",
"VCT",
"VEN",
"VGB",
"VIR",
"VNM",
"VUT",
"WSM",
"XKX",
"YEM",
"ZAF",
"ZMB",
"ZWE"
],
"grid_years": [
2000,
2001,
2002,
2003,
2004,
2005,
2006,
2007,
2008,
2009,
2010,
2011,
2012,
2013,
2014,
2015,
2016,
2017,
2018,
2019,
2020,
2021,
2022,
2023,
2024,
2025
],
"regions": [
"ABW",
"AFG",
"AGO",
"ARE",
"ARG",
"ARM",
"ASM",
"ATG",
"AUS",
"AUT",
"AZE",
"BDI",
"BEL",
"BEN",
"BFA",
"BGD",
"BGR",
"BHR",
"BHS",
"BIH",
"BLR",
"BLZ",
"BMU",
"BOL",
"BRA",
"BRB",
"BRN",
"BTN",
"BWA",
"CAF",
"CAN",
"CHE",
"CHL",
"CHN",
"CIV",
"CMR",
"COD",
"COG",
"COK",
"COL",
"COM",
"CPV",
"CRI",
"CUB",
"CYM",
"CYP",
"CZE",
"DEU",
"DJI",
"DMA",
"DNK",
"DOM",
"DZA",
"ECU",
"EGY",
"ERI",
"ESH",
"ESP",
"EST",
"ETH",
"FIN",
"FJI",
"FLK",
"FRA",
"FRO",
"GAB",
"GB",
"GBR",
"GEO",
"GHA",
"GIB",
"GIN",
"GLP",
"GMB",
"GNB",
"GNQ",
"GRC",
"GRD",
"GRL",
"GTM",
"GUF",
"GUM",
"GUY",
"HKG",
"HND",
"HRV",
"HTI",
"HUN",
"IDN",
"IND",
"IRL",
"IRN",
"IRQ",
"ISL",
"ISR",
"ITA",
"JAM",
"JOR",
"JPN",
"KAZ",
"KEN",
"KGZ",
"KHM",
"KIR",
"KNA",
"KOR",
"KWT",
"LAO",
"LBN",
"LBR",
"LBY",
"LCA",
"LKA",
"LSO",
"LTU",
"LUX",
"LVA",
"MAC",
"MAR",
"MDA",
"MDG",
"MDV",
"MEX",
"MKD",
"MLI",
"MLT",
"MMR",
"MNE",
"MNG",
"MOZ",
"MRT",
"MSR",
"MTQ",
"MUS",
"MWI",
"MYS",
"NAM",
"NCL",
"NER",
"NGA",
"NIC",
"NLD",
"NOR",
"NPL",
"NRU",
"NZL",
"OMN",
"PAK",
"PAN",
"PER",
"PHL",
"PNG",
"POL",
"PRI",
"PRK",
"PRT",
"PRY",
"PSE",
"PYF",
"QAT",
"REU",
"ROU",
"RUS",
"RWA",
"SAU",
"SDN",
"SEN",
"SGP",
"SHN",
"SLB",
"SLE",
"SLV",
"SOM",
"SPM",
"SRB",
"SSD",
"STP",
"SUR",
"SVK",
"SVN",
"SWE",
"SWZ",
"SYC",
"SYR",
"TCA",
"TCD",
"TGO",
"THA",
"TJK",
"TKM",
"TLS",
"TON",
"TTO",
"TUN",
"TUR",
"TWN",
"TZA",
"UGA",
"UKR"
],
"_note": "Response truncated for documentation purposes"
}
curl --location --request GET 'https://zylalabs.com/api/13267/carbon+footprint+and+emission+factor+api/27335/taxonomy' --header 'Authorization: Bearer YOUR_API_KEY'
{
"activity": "bituminous",
"activity_label": "Bituminous",
"category": "Stationary Combustion",
"co2e_kg_per_unit": 94.012,
"gas_breakdown": {
"ch4": 0.308,
"co2": 93.28,
"n2o": 0.424
},
"id": "epa-2025-stationary-bituminous",
"path": "Stationary Combustion / Bituminous",
"region": "US",
"scope": 1,
"unit": "mmBtu",
"year": 2025,
"data_quality": {
"tier": "A",
"score": 9,
"max": 9,
"basis": [
"US federal government",
"vintage 2025",
"activity-specific"
],
"note": "heuristic (authority x specificity x vintage); not statistical uncertainty"
}
}
curl --location --request GET 'https://zylalabs.com/api/13267/carbon+footprint+and+emission+factor+api/27336/get+factor+by+id?id=epa-2025-stationary-bituminous' --header 'Authorization: Bearer YOUR_API_KEY'
{
"id": "defra-2025-fuels-liquid-fuels-diesel-100-mineral-diesel-litres",
"identity": "fuels-liquid-fuels-diesel-100-mineral-diesel-litres",
"unit": "litres",
"history": {
"2023": 2.659372,
"2024": 2.66155,
"2025": 2.66155
},
"change_2023_to_latest": {
"from_year": "2023",
"to_year": "2025",
"absolute": 0.002178,
"percent": 0.08
}
}
curl --location --request GET 'https://zylalabs.com/api/13267/carbon+footprint+and+emission+factor+api/27337/factor+history?id=defra-2025-fuels-liquid-fuels-diesel-100-mineral-diesel-litres' --header 'Authorization: Bearer YOUR_API_KEY'
साइन अप करने के बाद, प्रत्येक डेवलपर को एक पर्सनल API एक्सेस की असाइन की जाती है, जो अक्षरों और अंकों का एक यूनिक संयोजन होता है, जिसका उपयोग हमारे API एंडपॉइंट तक पहुंचने के लिए किया जाता है। प्रमाणीकरण के लिए कार्बन फुटप्रिंट और उत्सर्जन कारक API के साथ बस अपने बेयरर टोकन को Authorization हेडर में शामिल करें।
| हेडर | विवरण |
|---|---|
Authorization
|
आवश्यक
होना चाहिए Bearer access_key. जब आप सब्सक्राइब हों तो ऊपर "Your API Access Key" देखें।
|
कोई लंबी अवधि की प्रतिबद्धता नहीं। कभी भी अपग्रेड, डाउनग्रेड या कैंसल करें। फ्री ट्रायल में 50 रिक्वेस्ट तक शामिल हैं।
(वार्षिक बिलिंग के साथ 2 महीने बचाएँ 🎉)
अनुमानित CO2e एंडपॉइंट निर्दिष्ट गतिविधियों के आधार पर कार्बन डाइऑक्साइड समकक्ष (CO₂e) उत्सर्जन पर डेटा लौटाता है जिसमें मात्रा, इकाई, क्षेत्र, वर्ष और किलोग्राम और टन में कैलकुलेटेड उत्सर्जन शामिल हैं यह उत्सर्जन कारकों के साथ विस्तृत उत्पत्ति और डेटा गुणवत्ता जानकारी भी प्रदान करता है
प्रतिक्रिया में प्रमुख क्षेत्र हैं "गतिविधि" "राशि" "इकाई" "क्षेत्र" "वर्ष" "co2e_किग्रा" "co2e_टन" और "घटक" "घटक" वस्तु में विवरण होते हैं जैसे "आईडी" "co2e_किग्रा_प्रति_इकाई" "स्रोत" और "डेटा_गुणवत्ता"
उपयोगकर्ता अपनी अनुरोधों को अनुकूलित करने के लिए "गतिविधि", "राशि", "इकाई", "क्षेत्र" और "वर्ष" जैसे पैरामीटर निर्दिष्ट कर सकते हैं स्वीकार्य मूल्य गतिविधि प्रकार और चयनित क्षेत्र पर निर्भर करते हैं
प्रति उत्तर डेटा JSON प्रारूप में संरचित है जिसमें मुख्य उत्सर्जन डेटा शीर्ष स्तर पर है और एक नेस्टेड "फैक्टर" ऑब्जेक्ट है जिसमें स्रोत और गुणवत्ता मैट्रिक्स सहित विस्तृत उत्सर्जन कारक जानकारी है
यह डेटा प्रतिष्ठित संगठनों जैसे यूके डिफ्रा, अमेरिका ईपीए, एम्बर और आईपीसीसी से प्राप्त किया गया है प्रत्येक उत्सर्जन कारक में उसका स्रोत वर्ष और लाइसेंस शामिल है जिससे पारदर्शिता और विश्वसनीयता सुनिश्चित होती है
डेटा की सटीकता को अधिकृत निकायों से कठोर स्रोतों और एक पारदर्शी डेटा-गुणवत्ता स्तर प्रणाली के माध्यम से बनाए रखा जाता है प्रत्येक कारक की विश्वसनीयता का मूल्यांकन प्राधिकरण विशेषता और पुरानी के आधार पर किया जाता है
विशिष्ट उपयोग मामले में व्यवसायों के लिए कार्बन लेखा परीक्षा स्थिरता रिपोर्टिंग और पर्यावरणीय प्रभाव आकलन शामिल हैं उपयोगकर्ता परिवहन ऊर्जा उपयोग और सामग्री खपत जैसे विभिन्न गतिविधियों से उत्सर्जन का अनुमान लगा सकते हैं
उपयोगकर्ता वापस किए गए डेटा का उपयोग अपने कार्बन उत्सर्जन की गणना करने, विभिन्न गतिविधियों के बीच उत्सर्जन की तुलना करने और सटीक उत्सर्जन कारकों के आधार पर अपने पर्यावरणीय प्रभाव को कम करने के लिए सूचित निर्णय लेने के लिए कर सकते हैं