Properties
| Name | Type | Description |
|---|---|---|
| shipment_id | string | |
| biogenic_co2_kg | number | Biogenic CO2, reported separately and not included in the totals (GLEC v3.3 p. 64) |
| weight_kg | number | Cargo weight used |
| weight_basis | string | |
| container_load | string | Container load profile that set the tonnes per TEU |
| legs | array | |
| hubs | array | |
| tonne_km | number | |
| ttw_kg | number | |
| wtw_kg | number | Transport plus hubs |
| intensity_g_per_tkm | number | Transport WTW only |
| wtt_kg | number | Transport well-to-tank (hubs are WTW only) |
| primary_data_share | number | Share of WTW emissions from primary data (0-1) |
| ghg_protocol | object | WTW in GHG Protocol scopes. A company buying the transport reports all of it in scope 3 (category 4 or 9); the operator of the vehicles splits it into scope 1 (fuel burnt), scope 2 (electricity, inclu |
| dataset | string | |
| warnings | array | Things left as given that may make the result too low, e.g. a gap between legs not counted |
JSON Schema
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"$id": "https://artifacts.apis.io/carbonara-co2-org/json-schema/carbonara-co2-org-result-schema.json",
"title": "Result",
"x-generated": "2026-11-03",
"x-method": "derived",
"x-generator": "derive-json-schema.py",
"x-source": "openapi/carbonara-co2-org-openapi.yaml#/components/schemas/Result",
"type": "object",
"properties": {
"shipment_id": {
"type": "string"
},
"biogenic_co2_kg": {
"type": "number",
"description": "Biogenic CO2, reported separately and not included in the totals (GLEC v3.3 p. 64)"
},
"weight_kg": {
"type": "number",
"description": "Cargo weight used"
},
"weight_basis": {
"type": "string",
"enum": [
"weight",
"teu"
]
},
"container_load": {
"type": "string",
"description": "Container load profile that set the tonnes per TEU"
},
"legs": {
"type": "array",
"items": {
"$ref": "#/$defs/LegResult"
}
},
"hubs": {
"type": "array",
"items": {
"type": "object",
"properties": {
"hub_id": {
"type": "string"
},
"hub_type": {
"type": "string"
},
"wtw_kg": {
"type": "number"
},
"data_type": {
"$ref": "#/$defs/DataType"
},
"source": {
"type": "string"
}
}
}
},
"tonne_km": {
"type": "number"
},
"ttw_kg": {
"type": "number"
},
"wtw_kg": {
"type": "number",
"description": "Transport plus hubs"
},
"intensity_g_per_tkm": {
"type": "number",
"description": "Transport WTW only"
},
"wtt_kg": {
"type": "number",
"description": "Transport well-to-tank (hubs are WTW only)"
},
"primary_data_share": {
"type": "number",
"description": "Share of WTW emissions from primary data (0-1)"
},
"ghg_protocol": {
"type": "object",
"description": "WTW in GHG Protocol scopes. A company buying the transport reports all of it in scope 3 (category 4 or 9); the operator of the vehicles splits it into scope 1 (fuel burnt), scope 2 (electricity, including the upstream share its factor contains) and scope 3 category 3 (fuel production and delivery); hubs are WTW only.\n",
"properties": {
"scope3_shipper_kg": {
"type": "number"
},
"operator_scope1_kg": {
"type": "number"
},
"operator_scope2_kg": {
"type": "number"
},
"operator_scope3_cat3_kg": {
"type": "number"
},
"hubs_kg": {
"type": "number"
}
}
},
"dataset": {
"type": "string"
},
"warnings": {
"type": "array",
"items": {
"type": "string"
},
"description": "Things left as given that may make the result too low, e.g. a gap between legs not counted"
}
},
"$defs": {
"DataType": {
"type": "string",
"enum": [
"primary",
"modelled",
"default"
],
"description": "primary: measured fuel; modelled: load or energy model from shipment inputs; default: published factor"
},
"DistanceType": {
"type": "string",
"enum": [
"sfd",
"gcd",
"actual"
],
"description": "Shortest feasible, great-circle, or actually travelled distance (GLEC / ISO 14083)"
},
"Factor": {
"type": "object",
"properties": {
"mode": {
"$ref": "#/$defs/Mode"
},
"vehicle_type": {
"type": "string"
},
"ttw_g_per_tkm": {
"type": "number"
},
"wtt_g_per_tkm": {
"type": "number"
},
"source": {
"type": "string"
},
"year": {
"type": "integer"
},
"distance_basis": {
"$ref": "#/$defs/DistanceType"
},
"data_type": {
"type": "string",
"description": "primary for factors built from the operator's own measurements (transport operation categories); else left out"
}
}
},
"FuelFactor": {
"type": "object",
"properties": {
"fuel": {
"type": "string"
},
"biogenic_co2_kg_per_unit": {
"type": "number",
"description": "Biogenic CO2 per unit, outside the TTW/WTT factors"
},
"unit": {
"type": "string"
},
"ttw_kg_per_unit": {
"type": "number"
},
"wtt_kg_per_unit": {
"type": "number"
},
"source": {
"type": "string"
},
"year": {
"type": "integer"
}
}
},
"LegPart": {
"type": "object",
"properties": {
"kind": {
"type": "string",
"enum": [
"ferry",
"electrified"
]
},
"mode": {
"$ref": "#/$defs/Mode"
},
"distance_km": {
"type": "number"
},
"tonne_km": {
"type": "number"
},
"ttw_kg": {
"type": "number"
},
"wtt_kg": {
"type": "number"
},
"wtw_kg": {
"type": "number"
},
"method": {
"type": "string"
},
"data_type": {
"$ref": "#/$defs/DataType"
},
"factor": {
"$ref": "#/$defs/Factor"
},
"daf": {
"type": "number"
},
"daf_source": {
"type": "string"
},
"energy_kwh_per_tkm": {
"type": "number"
},
"country": {
"type": "string"
}
}
},
"LegResult": {
"type": "object",
"properties": {
"leg_id": {
"type": "string",
"description": "The leg's id, or added-N for an added road leg"
},
"biogenic_co2_kg": {
"type": "number",
"description": "Biogenic CO2, reported separately and not included in the totals (GLEC v3.3 p. 64)"
},
"added": {
"type": "string",
"enum": [
"gap",
"access"
],
"description": "Set on road legs the calculator added: gap (the legs didn't join up) or access (to or from the port or terminal a leg was moved to)"
},
"note": {
"type": "string",
"description": "Why the leg was added",
"or where its end was moved to": null
},
"factor_note": {
"type": "string",
"description": "Which factor the vehicle type meant at this leg's distance (e.g. container_ship short-sea or deep-sea)"
},
"from": {
"$ref": "#/$defs/Location",
"description": "Where the leg was calculated from (moved for a leg moved to a port or terminal), when known"
},
"to": {
"$ref": "#/$defs/Location",
"description": "Where the leg was calculated to",
"when known": null
},
"mode": {
"$ref": "#/$defs/Mode"
},
"vehicle_type": {
"type": "string"
},
"distance_km": {
"type": "number"
},
"distance_method": {
"type": "string",
"description": "Where the distance came from",
"enum": [
"given",
"great_circle",
"great_circle_adjusted",
"osrm",
"osrm_rail",
"osrm_waterway",
"sea_network"
]
},
"distance_type": {
"$ref": "#/$defs/DistanceType"
},
"daf": {
"type": "number",
"description": "Distance adjustment factor applied to emissions, when the leg's distance type differed from the factor's basis"
},
"daf_source": {
"type": "string"
},
"tonne_km": {
"type": "number"
},
"ttw_kg": {
"type": "number"
},
"wtt_kg": {
"type": "number"
},
"wtw_kg": {
"type": "number"
},
"intensity_g_per_tkm": {
"type": "number",
"description": "WTW g CO2e per tonne-km for this leg"
},
"method": {
"type": "string",
"enum": [
"intensity",
"fuel",
"load_model",
"energy"
]
},
"data_type": {
"$ref": "#/$defs/DataType"
},
"energy_kwh_per_tkm": {
"type": "number"
},
"country": {
"type": "string"
},
"load_factor": {
"type": "number",
"description": "Load as a share of payload_t (from load_tonnes when that was given)"
},
"load_tonnes": {
"type": "number"
},
"empty_trip_factor": {
"type": "number"
},
"payload_t": {
"type": "number"
},
"factor": {
"$ref": "#/$defs/Factor"
},
"fuel_factor": {
"$ref": "#/$defs/FuelFactor"
},
"allocation_share": {
"type": "number"
},
"route_parts_km": {
"type": "object",
"additionalProperties": {
"type": "number"
},
"description": "Routed km by kind: ferry (road), electrified, not_electrified, electrification_unknown (rail)"
},
"path": {
"type": "array",
"description": "With ?path=true only. The leg's route as GeoJSON [lon, lat] points; two points mean a straight line.",
"items": {
"type": "array",
"items": {
"type": "number"
},
"minItems": 2,
"maxItems": 2
}
},
"parts": {
"type": "array",
"description": "Parts calculated separately and included in the leg's totals",
"items": {
"$ref": "#/$defs/LegPart"
}
},
"repositioning_km": {
"type": "number",
"description": "Empty km given for the leg (included in the empty trip factor)"
}
}
},
"Location": {
"type": "object",
"description": "Coordinates, or a code instead of them.",
"properties": {
"name": {
"type": "string"
},
"code": {
"type": "string",
"description": "UN/LOCODE (NLRTM) or IATA airport code (CPH), used when lat and lon are not given. Find codes with GET /v1/places."
},
"lat": {
"type": "number"
},
"lon": {
"type": "number"
}
}
},
"Mode": {
"type": "string",
"enum": [
"road",
"rail",
"sea",
"air",
"inland_waterway"
]
}
}
}
Work with this as data
Every JSON Schema here is available over the APIs.io API and to AI agents over MCP.
MCP server
One button, every client — Claude, Cursor, VS Code and the rest.
https://apis.io/mcp
Tools for schemas
4 MCP tools reach this
find_json_schemasBrowse and filter every JSON Schema in the catalog.apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.resolveTurn a domain, URL or GitHub org into the provider it belongs to.find_cohortsEvery scored population of providers in the catalog.
Call it yourself
curl for this page
This JSON Schema
curl "https://apis.io/api/v1/json-schemas/carbonara-co2-org-result"
All schemas
curl "https://apis.io/api/v1/json-schemas?limit=25"
Calls without X-API-Key need no key. Calls with it need a paid plan — get a key.
Get an API key
Free tier, no form to fill in. Signing in shares your email address with us — we store it to create your key and to recognise you if you sign in with another provider. See our Privacy Policy and Terms.
A second provider on the same verified email joins the account you already have.