碳足迹和排放因子 API

API ID 13267

将任何活动 花费 运费 或航班转换为千克CO₂e 使用开放的来源数据(英国DEFRA 美国EPA Ember IPCC)以及来自英国 美国和欧盟及213个国家的实时电网碳强度

265 ms 平均响应

API 文档

端点

请求
将活动和数量转换为公斤二氧化碳当量使用开放排放因子(DEFRA/EPA)
Endpoint ID: 27322
GET https://zylalabs.com/api/13267/carbon+footprint+and+emission+factor+api/27322/estimate+co2e
输入参数

估算CO2e — 端点功能

对象 描述
amount 必需 Quantity of the activity, expressed in unit.
unit 必需 Unit of the amount (litres, kWh, MWh, GJ, mmBtu, m3, kg, tonnes, km, miles…). Auto-converted to the factor's unit when compatible.
activity 可选 Free-text activity to match (e.g. diesel, natural gas, electricity, petrol, coal). Required unless factor_id is given.
region 可选 ISO-3 country code (GBR, USA, FRA) or US/UK/EU. Falls back to GB then US.
year 可选 Reporting year for the factor; defaults to the latest available.
factor_id 可选 Exact factor id to use, bypassing activity matching (from /factors/search).

剩余免费测试请求:3 / 3。


输入参数

amount
unit
activity
region
year
factor_id
API 示例响应
JSON
{
    "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"
    ]
}
估算CO2e — 代码片段

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' 


    
请求
按类别/NAICS(美国环保局USEEIO)估算按照美元支出的CO₂e,以2022年为基准进行通货膨胀调整
Endpoint ID: 27323
GET https://zylalabs.com/api/13267/carbon+footprint+and+emission+factor+api/27323/spend-based+scope+3
输入参数

基于支出的范围3 — 端点功能

对象 描述
amount 必需 Money spent, in USD
category 可选 Free-text spend category, matched to a US NAICS industry. Required unless naics given
naics 可选 Explicit 6-digit US NAICS code, bypassing category matching
currency 可选 Currency of the amount; USD only
year 可选 Year spent; amount is inflation-adjusted to 2022 USD

剩余免费测试请求:3 / 3。


输入参数

amount
category
naics
currency
year
API 示例响应
JSON
{
    "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)"
    ]
}
基于支出的范围3 — 代码片段

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' 


    
请求
按照ISO 14083/GLEC计算的运输货物的CO₂e(重量 × 距离 × 按模式的DEFRA货运因子)
Endpoint ID: 27324
GET https://zylalabs.com/api/13267/carbon+footprint+and+emission+factor+api/27324/freight+co2e
输入参数

货运二氧化碳当量 — 端点功能

对象 描述
mode 必需 road, hgv, van, rail, sea, container, bulk, tanker, air.
weight_tonnes 必需 Weight of goods, in tonnes
distance_km 必需 Distance travelled, in km.
factor_id 可选 Pin an exact DEFRA freight factor.

剩余免费测试请求:3 / 3。


输入参数

mode
weight_tonnes
distance_km
factor_id
API 示例响应
JSON
{
    "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"
    ]
}
货运二氧化碳当量 — 代码片段

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' 


    
请求
两个机场之间的航班CO₂e(或给定距离)与可配置的辐射强迫乘数
Endpoint ID: 27325
GET https://zylalabs.com/api/13267/carbon+footprint+and+emission+factor+api/27325/flight+co2e
输入参数

航班CO2e — 端点功能

对象 描述
from 必需 Origin IATA; required (with to) unless distance_km given.
to 可选 Destination IATA.
distance_km 可选 Supply distance directly instead of from/to.
class 可选 economy, premium, business, first, average.
passengers 可选 Number of passengers.
round_trip 可选 Double distance for a return trip.
rf 可选 Double distance for a return trip.

剩余免费测试请求:3 / 3。


输入参数

from
to
distance_km
class
passengers
round_trip
rf
API 示例响应
JSON
{
    "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"
    ]
}
航班CO2e — 代码片段

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' 


    
请求
制冷剂或F气体的全球变暖潜力和CO₂e(IPCC AR4/5/6;混合物质量加权)
Endpoint ID: 27326
GET https://zylalabs.com/api/13267/carbon+footprint+and+emission+factor+api/27326/refrigerant+gwp
输入参数

制冷剂全球变暖潜力 — 端点功能

对象 描述
gas 必需 R-number (R-410A), HFC name (HFC-134a), or gas name (Nitrous oxide).
kg 可选 Mass in kg; if given, returns CO₂e too.
assessment 可选 IPCC report: AR4, AR5, AR6.
horizon 可选 Time horizon in years: 20, 100, 500.

剩余免费测试请求:3 / 3。


输入参数

gas
kg
assessment
horizon
API 示例响应
JSON
{
    "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
}
制冷剂全球变暖潜力 — 代码片段

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' 


    
请求
在排放因子目录中进行全文搜索,并可选择过滤器
Endpoint ID: 27327
GET https://zylalabs.com/api/13267/carbon+footprint+and+emission+factor+api/27327/search+factors
输入参数

搜索因素 — 端点功能

对象 描述
q 必需 Free-text query over activity/path/category/region/unit.
category 可选 Filter by category.
region 可选 Filter by factor region.
unit 可选 Filter by the factor's unit.
year 可选 Filter by year.
limit 可选 Max results (≤100).

剩余免费测试请求:3 / 3。


输入参数

q
category
region
unit
year
limit
API 示例响应
JSON
{
    "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"
            }
        }
    ]
}
搜索因素 — 代码片段

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' 


    
请求
一个因素的值在两个版本之间是如何变化的
Endpoint ID: 27328
GET https://zylalabs.com/api/13267/carbon+footprint+and+emission+factor+api/27328/factor+diff
输入参数

因子差异 — 端点功能

对象 描述
id 必需 The factor id.
from 可选 The start year.
to 可选 The end year.

剩余免费测试请求:3 / 3。


输入参数

id
from
to
API 示例响应
JSON
{
    "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"
}
因子差异 — 代码片段

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' 


    
请求
查找美国NAICS行业(及其每美元的千克CO₂e)用于基于支出的估算
Endpoint ID: 27329
GET https://zylalabs.com/api/13267/carbon+footprint+and+emission+factor+api/27329/search+industries+-naics
输入参数

搜索行业 - NAICS — 端点功能

对象 描述
q 必需 Free-text industry query.
limit 可选 Max results (<100)

剩余免费测试请求:3 / 3。


输入参数

q
limit
API 示例响应
JSON
{
    "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
        }
    ]
}
搜索行业 - NAICS — 代码片段

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' 


    
请求
213个国家(Ember)和27个美国eGRID子区域的年度电网碳强度
Endpoint ID: 27330
GET https://zylalabs.com/api/13267/carbon+footprint+and+emission+factor+api/27330/grid+intensity+-+annual
输入参数

电网强度 - 年度 — 端点功能

对象 描述
region 必需 ISO-3 code, US/UK/EU, or a US eGRID subregion (CAMX, US-RFCE).
year 可选 Year; defaults to latest.

剩余免费测试请求:3 / 3。


输入参数

region
year
API 示例响应
JSON
{
    "region": "US",
    "iso3": "USA",
    "year": 2025,
    "gco2_per_kwh": 384.4,
    "kg_co2e_per_kwh": 0.3844,
    "available_years": [
        2000,
        2025
    ]
}
电网强度 - 年度 — 代码片段

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' 


    
请求
英国(NESO)的实时电网碳强度 美国平衡机构(EIA)和欧盟投标区(ENTSO-E)
Endpoint ID: 27331
GET https://zylalabs.com/api/13267/carbon+footprint+and+emission+factor+api/27331/live+grid+intensity
输入参数

实时网格强度 — 端点功能

对象 描述
zone 必需 GB, a US balancing authority (CISO, PJM, ERCO…), or an EU code (FR, DE, ES, PL, DK1, SE3…).

剩余免费测试请求:3 / 3。


输入参数

zone
API 示例响应
JSON
{
    "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
        }
    ]
}
实时网格强度 — 代码片段

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' 


    
请求
前向半小时英国电网碳强度预测(最多48小时)
Endpoint ID: 27332
GET https://zylalabs.com/api/13267/carbon+footprint+and+emission+factor+api/27332/grid+forecast
输入参数

网格预测 — 端点功能

对象 描述
zone 必需 Zone - GB only.
hours 可选 Forecast horizon, up to 48.

剩余免费测试请求:3 / 3。


输入参数

zone
hours
API 示例响应
JSON
{
    "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"
        }
    ]
}
网格预测 — 代码片段

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' 


    
请求
运行负载的最新清洁窗口(GB)用于碳感知负载转移,节省比例与期间平均值相比
Endpoint ID: 27333
GET https://zylalabs.com/api/13267/carbon+footprint+and+emission+factor+api/27333/best+time+to+run
输入参数

最佳跑步时间 — 端点功能

对象 描述
duration 可选 Load length in hours
within 可选 Search horizon in hours (≤48).
zone 可选 Zone - GB only

剩余免费测试请求:3 / 3。


输入参数

duration
within
zone
API 示例响应
JSON
{
    "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."
}
最佳跑步时间 — 代码片段

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' 


    
请求
基于GB预测的按时段加权的CO₂e用于每小时kWh使用配置文件
Endpoint ID: 27334
GET https://zylalabs.com/api/13267/carbon+footprint+and+emission+factor+api/27334/time-weighted+footprint
输入参数

时间加权足迹 — 端点功能

对象 描述
zone 可选 Zone - GB Only.
profile 必需 Comma-separated hourly kWh, starting now.

剩余免费测试请求:3 / 3。


输入参数

zone
profile
API 示例响应
JSON
{
    "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
        }
    ]
}
时间加权足迹 — 代码片段

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' 


    
请求
有效的类别 单位 地区 年份 和网格区域 - 在构建请求之前调用此以发现有效输入
Endpoint ID: 27335
GET https://zylalabs.com/api/13267/carbon+footprint+and+emission+factor+api/27335/taxonomy
输入参数

剩余免费测试请求:3 / 3。

此端点不需要任何输入参数。

API 示例响应
JSON
{
    "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"
}
分类学 — 代码片段

curl --location --request GET 'https://zylalabs.com/api/13267/carbon+footprint+and+emission+factor+api/27335/taxonomy' --header 'Authorization: Bearer YOUR_API_KEY' 


    
请求
返回一个带有完整来源和数据质量等级的单一排放因子
Endpoint ID: 27336
GET https://zylalabs.com/api/13267/carbon+footprint+and+emission+factor+api/27336/get+factor+by+id
输入参数

通过ID获取因子 — 端点功能

对象 描述
id 必需 The factor id.

剩余免费测试请求:3 / 3。


输入参数

id
API 示例响应
JSON
{
    "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"
    }
}
通过ID获取因子 — 代码片段

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' 


    
请求
因素的年度变化值(英国DEFRA 2023-2025)及总变化
Endpoint ID: 27337
GET https://zylalabs.com/api/13267/carbon+footprint+and+emission+factor+api/27337/factor+history
输入参数

因素历史 — 端点功能

对象 描述
id 必需 The factor id.

剩余免费测试请求:3 / 3。


输入参数

id
API 示例响应
JSON
{
    "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
    }
}
因素历史 — 代码片段

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' 


    

API 访问密钥和身份验证

注册后,每个开发者都会被分配一个个人 API 访问密钥,这是一个唯一的字母和数字组合,用于访问我们的 API 端点。要使用 碳足迹和排放因子 API 进行身份验证,只需在 Authorization 标头中包含您的 bearer token。

标头
标头 描述
授权 必需 应为 Bearer access_key. 订阅后,请查看上方的"您的 API 访问密钥"。

无长期承诺。随时升级、降级或取消。 免费试用包括最多 50 个请求。

(年度计费可节省 2 个月 🎉)

🚀 企业版套餐

起价
$ 10,000/年


  • 自定义数量
  • 自定义速率限制
  • 专业客户支持
  • 实时 API 监控

概览

将任何活动、支出、运费或航班转化为开放源数据中的千克CO₂e(英国DEFRA、美国EPA、Ember、IPCC),以及英国、美国和欧盟及213个国家的实时电网碳强度

碳足迹和排放因子 API FAQs

估算CO2e端点根据指定活动返回二氧化碳当量(CO₂e)排放的数据,包括数量、单位、地区、年份和以千克和吨为单位的计算排放量。它还提供排放因子及详细来源和数据质量信息

响应中的关键字段包括“活动”“金额”“单位”“地区”“年份”“co2e_kg”“co2e_吨”和“因子” “因子”对象包含“id”“每单位co2e_kg”“来源”和“数据质量”等详细信息

用户可以指定“活动”、“金额”、“单位”、“地区”和“年份”等参数来自定义他们的请求。可接受的值取决于所选的活动类型和地区

响应数据采用JSON格式结构,最顶层是主要的排放数据,嵌套的“因子”对象包含详细的排放因子信息,包括来源和质量指标

数据来源于如英国DEFRA、美国EPA、Ember和IPCC等信誉良好的组织。每个排放因子都包括其来源、年份和许可证,以确保透明度和可靠性

数据准确性通过从权威机构严谨 sourcing 和透明的数据质量等级系统保持。每个因素都是根据权威性、特定性和年代来评估其可靠性的

典型的使用案例包括企业的碳核算 可持续发展报告 和环境影响评估 用户可以估算来自各种活动的排放 例如交通 能源使用 和材料消耗

用户可以利用返回的数据来计算他们的碳足迹 比较不同活动的排放 并根据准确的排放因子做出明智的决策以减少他们对环境的影响

一般常见问题

Zyla API Hub 就像一个大型 API 商店,您可以在一个地方找到数千个 API。我们还为所有 API 提供专门支持和实时监控。注册后,您可以选择要使用的 API。请记住,每个 API 都需要自己的订阅。但如果您订阅多个 API,您将为所有这些 API 使用相同的密钥,使事情变得更简单。
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此外,如果您已经以这些货币中的任何一种(USD、EUR、CAD、AUD、GBP)拥有有效订阅,该货币将保留用于后续订阅。只要您没有任何有效订阅,您可以随时更改货币。
定价页面上显示的本地货币基于您 IP 地址的国家/地区,仅供参考。实际价格以 USD(美元)为单位。当您付款时,即使您在我们的网站上看到以本地货币显示的等值金额,您的卡片对账单上也会以美元显示费用。这意味着您不能直接使用本地货币付款。
有时,银行可能会因其欺诈保护设置而拒绝收费。我们建议您首先联系您的银行,检查他们是否阻止了我们的收费。此外,您可以访问账单门户并更改关联的卡片以进行付款。如果这些方法不起作用并且您需要进一步帮助,请通过 [email protected]
价格由月度或年度订阅决定,具体取决于所选计划。
API 调用根据成功请求从您的计划中扣除。每个计划都包含您每月可以进行的特定数量的调用。只有成功的调用(由状态 200 响应指示)才会计入您的总数。这确保失败或不完整的请求不会影响您的月度配额。
Zyla API Hub 采用月度订阅系统。您的计费周期将从您购买付费计划的那一天开始,并在下个月的同一日期续订。因此,如果您想避免未来的费用,请提前取消订阅。
要升级您当前的订阅计划,只需转到 API 的定价页面并选择您要升级到的计划。升级将立即生效,让您立即享受新计划的功能。请注意,您之前计划中的任何剩余调用都不会转移到新计划,因此在升级时请注意这一点。您将被收取新计划的全部金额。
要检查您本月剩余多少 API 调用,请参考响应标头中的 "X-Zyla-API-Calls-Monthly-Remaining" 字段。例如,如果您的计划允许每月 1,000 个请求,而您已使用 100 个,则响应标头中的此字段将显示 900 个剩余调用。
要查看您的计划允许的最大 API 请求数,请检查 "X-Zyla-RateLimit-Limit" 响应标头。例如,如果您的计划包括每月 1,000 个请求,此标头将显示 1,000。
"X-Zyla-RateLimit-Reset" 标头显示您的速率限制重置之前的秒数。这告诉您何时您的请求计数将重新开始。例如,如果它显示 3,600,则意味着还有 3,600 秒直到限制重置。
是的,您可以随时通过访问您的账户并在账单页面上选择取消选项来取消您的计划。请注意,升级、降级和取消会立即生效。此外,取消后,您将不再有权访问该服务,即使您的配额中还有剩余调用。
为了让您有机会在没有任何承诺的情况下体验我们的 API,我们提供 7 天免费试用,允许您免费进行最多 50 次 API 调用。此试用只能使用一次,因此我们建议将其应用于您最感兴趣的 API。虽然我们的大多数 API 都提供免费试用,但有些可能不提供。试用在 7 天后或您进行了 50 次请求后结束,以先发生者为准。如果您在试用期间达到 50 次请求限制,您需要"开始您的付费计划"以继续发出请求。您可以在个人资料中的订阅 -> 选择您订阅的 API -> 定价标签下找到"开始您的付费计划"按钮。或者,如果您在第 7 天之前不取消订阅,您的免费试用将结束,您的计划将自动计费,授予您访问计划中指定的所有 API 调用的权限。请记住这一点以避免不必要的费用。
7 天后,您将被收取试用期间订阅的计划的全额费用。因此,在试用期结束前取消很重要。因忘记及时取消而提出的退款请求不被接受。
当您订阅 API 免费试用时,您可以进行最多 50 次 API 调用。如果您希望超出此限制进行额外的 API 调用,API 将提示您执行"开始您的付费计划"。您可以在个人资料中的订阅 -> 选择您订阅的 API -> 定价标签下找到"开始您的付费计划"按钮。
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