{
"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'
Después de registrarte, a cada desarrollador se le asigna una clave de acceso a la API personal, una combinación única de letras y dígitos proporcionada para acceder a nuestro endpoint de la API. Para autenticarte con el Huella de carbono y factor de emisión API simplemente incluye tu token de portador en el encabezado de Autorización.
| Encabezado | Descripción |
|---|---|
Autorización
|
Requerido
Debería ser Bearer access_key. Consulta "Tu Clave de Acceso a la API" arriba cuando estés suscrito.
|
Sin compromiso a largo plazo. Mejora, reduce o cancela en cualquier momento. La Prueba Gratuita incluye hasta 50 solicitudes.
(Ahorra 2 meses pagando anualmente 🎉)
Convierte cualquier actividad gasto flete o vuelo en kg CO₂e a partir de datos abiertos y verificados (UK DEFRA US EPA Ember IPCC) además de la intensidad de carbono de la red en vivo para GB US y UE y 213 países
El endpoint de Estimación de CO2e devuelve datos sobre las emisiones de dióxido de carbono equivalente (CO₂e) basadas en actividades especificadas, incluyendo la cantidad, unidad, región, año y emisiones calculadas en kg y toneladas. También proporciona factores de emisión con información detallada sobre la procedencia y la calidad de los datos
Los campos clave en la respuesta incluyen "actividad" "cantidad" "unidad" "región" "año" "co2e_kg" "co2e_toneladas" y "factor" El objeto "factor" contiene detalles como "id" "co2e_kg_por_unidad" "fuente" y "calidad_de_datos"
Los usuarios pueden especificar parámetros como "actividad" "cantidad" "unidad" "región" y "año" para personalizar sus solicitudes Los valores aceptados dependen del tipo de actividad y de la región seleccionada
Los datos de respuesta están estructurados en formato JSON con los datos de emisión principales en el nivel superior y un objeto "factor" anidado que contiene información detallada sobre el factor de emisión incluyendo métricas de fuente y calidad
Los datos provienen de organizaciones respetables como el DEFRA del Reino Unido la EPA de EE. UU. Ember y el IPCC. Cada factor de emisión incluye su fuente año y licencia garantizando transparencia y confiabilidad
La precisión de los datos se mantiene a través de un abastecimiento riguroso de organismos autoritativos y un sistema de niveles de calidad de datos transparente Cada factor se evalúa por su fiabilidad en función de la autoridad la especificidad y la antigüedad
Los casos de uso típicos incluyen la contabilidad de carbono para empresas, informes de sostenibilidad y evaluaciones de impacto ambiental. Los usuarios pueden estimar las emisiones de diversas actividades como el transporte, el uso de energía y el consumo de materiales
Los usuarios pueden aprovechar los datos devueltos para calcular su huella de carbono comparar las emisiones entre diferentes actividades y tomar decisiones informadas para reducir su impacto ambiental basándose en factores de emisión precisos