# Carbon Intensity API — Global Grid CO2 Data (`jenko_systems/carbon-intensity-api`) Actor Real-time and historical carbon intensity (gCO2eq/kWh) for 45+ countries/regions. Built from raw grid operator data (ENTSO-E, EIA, NESO, ONS) with lifecycle and consumption-based calculations following IPCC AR6 and the ECON-PowerCI methodology (Nature 2025). - **URL**: https://apify.com/jenko\_systems/carbon-intensity-api.md - **Developed by:** [Jenko Systems](https://apify.com/jenko_systems) (community) - **Categories:** Integrations, Automation, News - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $99.00 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## 🌍 Carbon Intensity API v2.0 **Real-time and historical electricity carbon intensity (gCO₂eq/kWh), wholesale prices, load, and cross-border flows for 73 countries and grid regions worldwide.** 🔓 **Zero API keys. Zero registration. Zero tokens.** All data sources are public. --- ### 🆕 v2.0 — Expanded coverage (45 → 73 regions) | Region | v1.0 | v2.0 | Change | |---|---|---|---| | **Europe (Fraunhofer)** | 30 countries | **35 countries** | +5 (Cyprus + Bosnia + Kosovo + Moldova + Georgia) | | **United States (EIA-930)** | 10 BAs | **34 BAs** | +24 (full Western, Southeast, federal admins) | | **United Kingdom (NESO)** | GB | GB | — | | **Brazil (ONS)** | 4 submarkets | 4 submarkets | — | | **TOTAL** | **45** | **73** | **+62% coverage** | --- ### 🇬🇧 English #### What this delivers For each hour and region, all the fields below — calculated, normalized, cross-source: | Field | Description | |---|---| | `carbon_intensity_gco2_kwh` | gCO₂eq per kWh of electricity | | `renewable_pct` | % wind + solar + hydro + biomass + geothermal | | `fossil_free_pct` | renewable + nuclear | | `total_generation_mwh` | total electricity generated | | `fossil_only_intensity_gco2_kwh` | CI of fossil portion only | | `generation_mix_mw` | per-source breakdown (wind, solar, gas, coal, nuclear, hydro, biomass, oil) | | `load_mw` | total system demand | | `net_load_mw` | load minus variable renewables | | `day_ahead_price` | wholesale spot market price | | `day_ahead_price_currency` | EUR / USD / GBP / BRL | | `day_ahead_price_zone` | bidding zone code | | `cross_border_flows_mw` | list of imports/exports with neighbours | Four calculation methods available (`method` field): - **production_lifecycle** (default) — IPCC AR6 lifecycle factors, domestic generation only - **production_operational** — combustion-only factors - **consumption_lifecycle** — flow-traced through cross-border imports, lifecycle factors - **consumption_operational** — flow-traced, operational factors #### Coverage detail **Europe — 35 countries (Fraunhofer Energy-Charts, validated working):** - EU-26: AT, BE, BG, CY, CZ, DE, DK, EE, ES, FI, FR, GR, HR, HU, IE, IT, LT, LU, LV, NL, PL, PT, RO, SE, SI, SK - Non-EU: CH, NO - Western Balkans: BA, MK, RS, XK - Eastern Europe & Caucasus: MD, GE - UK: GB (via NESO, more granular) **United States — 34 balancing authorities (EIA-930 bulk CSV):** - Major ISOs/RTOs: US-CISO, US-ERCO, US-MISO, US-PJM, US-NYIS, US-ISNE, US-SWPP - Federal admins: US-BPAT, US-TVA - Southeast: US-SOCO, US-FPL, US-FPC, US-DUK, US-CPLE, US-SC, US-SCEG, US-AECI - West: US-PACE, US-PACW, US-PSEI, US-IPCO, US-AZPS, US-NEVP, US-AVA, US-LDWP, US-PSCO, US-PNM, US-WACM, US-WAUW - Other: US-NW, US-SE, US-TEC, US-JEA, US-TAL **United Kingdom (NESO):** GB **Brazil (ONS):** BR-SE (Sudeste/CO), BR-S (Sul), BR-NE (Nordeste), BR-N (Norte) #### Input ```json { "mode": "latest", "hours": 48, "method": "production_lifecycle", "countries": ["DE", "FR", "GB", "US-CISO", "BR-SE"] } ```` **Modes:** - `latest` — last N hours (default 48h) - `today` — current UTC day so far - `yesterday` — full previous UTC day - `full_refresh` — entire history since 2015 (long run) **Optional skip flags:** `skip_europe`, `skip_us`, `skip_uk`, `skip_brazil` #### Output (one record per region × hour × method) ```json { "country_code": "DE", "country_name": "Germany", "region": "europe", "source": "fraunhofer", "timestamp_utc": "2026-05-13T14:00:00+00:00", "method": "production_lifecycle", "carbon_intensity_gco2_kwh": 312.4, "renewable_pct": 47.2, "fossil_free_pct": 52.8, "total_generation_mwh": 58420.5, "generation_mix_mw": { "wind": 16850.2, "solar": 7106.4, "nuclear": 3268.5, "gas": 13088.4, "coal": 8358.2, "hydro": 3855.7, "biomass": 2400.0, "oil": 290.1 }, "load_mw": 60140.0, "net_load_mw": 29928.5, "day_ahead_price": 86.43, "day_ahead_price_currency": "EUR", "day_ahead_price_zone": "DE-LU", "cross_border_flows_mw": [ { "counterparty": "FR", "flow_mw": 5200.0, "direction": "import" }, { "counterparty": "PL", "flow_mw": 1100.0, "direction": "import" }, { "counterparty": "AT", "flow_mw": 800.0, "direction": "export" } ] } ``` #### Methodology **Production-based:** ``` CI_production = Σ(generation_i × emission_factor_i) / Σ(generation_i) ``` **Consumption-based (flow-traced):** For interconnected grids, what matters is *what you consume*, not *what you produce*. Solved per hour via linear system: ``` (G_i + IM_i) · x_i = own_emissions_i + Σⱼ(flow_jᵢ × x_j) ``` Solved with `numpy.linalg.solve`. Method follows [ECON-PowerCI (Nature 2025)](https://www.nature.com/articles/s41597-025-05978-7). **Emission factors (IPCC AR6 WG3, Annex III median values):** | Source | Lifecycle (gCO₂eq/kWh) | Operational | |---|---:|---:| | Wind | 11 | 0 | | Solar | 48 | 0 | | Nuclear | 12 | 0 | | Hydro | 24 | 0 | | Biomass | 230 | 90 | | Gas | 490 | 370 | | Coal | 820 | 760 | | Oil | 650 | 580 | #### Use cases - **ESG / Scope 2 carbon accounting** — accurate hourly CI for corporate reporting - **Climate tech & green software** — schedule loads when grid is cleanest - **AI infrastructure planning** — pick datacenter regions by real-time grid quality - **Energy trading** — backtesting and signal generation - **Academic research** — replicable, IPCC-aligned dataset *** ### 🇧🇷 Português #### O que é API de intensidade de carbono elétrica (gCO₂eq/kWh) em tempo real e histórica + preços wholesale + carga + fluxos transfronteiriços para **73 países e regiões** globais. 🔓 **ZERO chaves de API**. Fontes 100% públicas: Fraunhofer (Europa), EIA-930 (EUA), NESO (UK), ONS (Brasil). #### v2.0 — Cobertura expandida ``` Europa: 30 → 35 países (+Cyprus, Bosnia, Kosovo, Moldova, Georgia) EUA: 10 → 34 BAs (+todo o oeste, sudeste, federais) Reino Unido: GB (mantido) Brasil: 4 submercados SIN (mantido) ───────────────────────────────────────────── TOTAL: 45 → 73 regiões (+62% cobertura) ``` #### Atribuição Dados: - **Fraunhofer Energy-Charts** (Europa) — CC BY 4.0 - **EIA Hourly Electric Grid Monitor** (EUA) — domínio público - **NESO Carbon Intensity API** (UK) — CC BY 4.0 - **ONS Dados Abertos** (Brasil) — CC BY Metodologia: IPCC AR6 (WG3, Annex III) + ECON-PowerCI (Nature Scientific Data 2025). *** ### 🛠️ Local development ```bash pip install -r requirements.txt python carga_inicial.py --mode latest --hours 24 ``` *** ### 🔄 Schedule Apify scheduler can run this actor every hour. Output is idempotent by `(country, timestamp, method)`. *** Built by [Jenko Systems](https://jenkosystems.com). # Actor input Schema ## `mode` (type: `string`): How much data to fetch on this run. ## `hours` (type: `integer`): Number of hours to fetch back from now. Only used when mode=latest. ## `method` (type: `string`): Which carbon intensity method to return in the dataset. All four are calculated and stored regardless. ## `countries` (type: `array`): Optional list of region codes. Leave empty for all 73. Europe: AT,BE,BG,CY,CZ,DE,DK,EE,ES,FI,FR,GR,HR,HU,IE,IT,LT,LU,LV,NL,PL,PT,RO,SE,SI,SK,CH,NO,BA,MK,RS,XK,MD,GE,GB. US: US-CISO,US-ERCO,US-MISO,US-PJM,US-NYIS,US-ISNE,US-BPAT,US-SWPP,US-SOCO,US-FPL,US-TVA,US-DUK,US-CPLE,US-FPC,US-SC,US-SCEG,US-AECI,US-PACE,US-PACW,US-PSEI,US-IPCO,US-AZPS,US-NEVP,US-AVA,US-LDWP,US-PSCO,US-PNM,US-WACM,US-WAUW,US-NW,US-SE,US-TEC,US-JEA,US-TAL. Brazil: BR-SE,BR-S,BR-NE,BR-N. ## `skip_europe` (type: `boolean`): Skip the European data source if you only need US/UK/BR. ## `skip_us` (type: `boolean`): Skip US data fetch. ## `skip_uk` (type: `boolean`): Skip UK data fetch. ## `skip_brazil` (type: `boolean`): Skip Brazil data fetch. ## Actor input object example ```json { "mode": "latest", "hours": 48, "method": "production_lifecycle", "countries": [], "skip_europe": false, "skip_us": false, "skip_uk": false, "skip_brazil": false } ``` # Actor output Schema ## `results` (type: `string`): Dataset with hourly records — one per (country × hour × method) — including carbon\_intensity\_gco2\_kwh, renewable\_pct, fossil\_free\_pct, generation\_mix\_mw, load\_mw, net\_load\_mw, day\_ahead\_price, cross\_border\_flows\_mw. # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("jenko_systems/carbon-intensity-api").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = {} # Run the Actor and wait for it to finish run = client.actor("jenko_systems/carbon-intensity-api").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call jenko_systems/carbon-intensity-api --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jenko_systems/carbon-intensity-api", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Carbon Intensity API — Global Grid CO2 Data", "description": "Real-time and historical carbon intensity (gCO2eq/kWh) for 45+ countries/regions. Built from raw grid operator data (ENTSO-E, EIA, NESO, ONS) with lifecycle and consumption-based calculations following IPCC AR6 and the ECON-PowerCI methodology (Nature 2025).", "version": "2.0", "x-build-id": "M9PNKz29anIhjvC1I" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jenko_systems~carbon-intensity-api/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jenko_systems-carbon-intensity-api", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/jenko_systems~carbon-intensity-api/runs": { "post": { "operationId": "runs-sync-jenko_systems-carbon-intensity-api", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/jenko_systems~carbon-intensity-api/run-sync": { "post": { "operationId": "run-sync-jenko_systems-carbon-intensity-api", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "mode": { "title": "Run Mode", "enum": [ "latest", "today", "yesterday", "full_refresh" ], "type": "string", "description": "How much data to fetch on this run.", "default": "latest" }, "hours": { "title": "Hours back (when mode=latest)", "minimum": 1, "maximum": 720, "type": "integer", "description": "Number of hours to fetch back from now. Only used when mode=latest.", "default": 48 }, "method": { "title": "Calculation Method", "enum": [ "production_lifecycle", "production_operational", "consumption_lifecycle", "consumption_operational" ], "type": "string", "description": "Which carbon intensity method to return in the dataset. All four are calculated and stored regardless.", "default": "production_lifecycle" }, "countries": { "title": "Country / region filter", "type": "array", "description": "Optional list of region codes. Leave empty for all 73. Europe: AT,BE,BG,CY,CZ,DE,DK,EE,ES,FI,FR,GR,HR,HU,IE,IT,LT,LU,LV,NL,PL,PT,RO,SE,SI,SK,CH,NO,BA,MK,RS,XK,MD,GE,GB. US: US-CISO,US-ERCO,US-MISO,US-PJM,US-NYIS,US-ISNE,US-BPAT,US-SWPP,US-SOCO,US-FPL,US-TVA,US-DUK,US-CPLE,US-FPC,US-SC,US-SCEG,US-AECI,US-PACE,US-PACW,US-PSEI,US-IPCO,US-AZPS,US-NEVP,US-AVA,US-LDWP,US-PSCO,US-PNM,US-WACM,US-WAUW,US-NW,US-SE,US-TEC,US-JEA,US-TAL. Brazil: BR-SE,BR-S,BR-NE,BR-N.", "items": { "type": "string" }, "default": [] }, "skip_europe": { "title": "Skip Europe (Fraunhofer — 34 countries)", "type": "boolean", "description": "Skip the European data source if you only need US/UK/BR.", "default": false }, "skip_us": { "title": "Skip United States (EIA — 34 balancing authorities)", "type": "boolean", "description": "Skip US data fetch.", "default": false }, "skip_uk": { "title": "Skip United Kingdom (NESO)", "type": "boolean", "description": "Skip UK data fetch.", "default": false }, "skip_brazil": { "title": "Skip Brazil (ONS — 4 SIN submarkets)", "type": "boolean", "description": "Skip Brazil data fetch.", "default": false } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```