# Calculate EU ETS voyage carbon exposure

**Use case:** 

Run a deterministic sample voyage through pinned EU ETS evidence and receive CO2e, allowance-equivalent, assumptions, confidence, and truth-ledger records.

## Input

```json
{
  "schemaVersion": "1.1.0",
  "mode": "synthetic_demo",
  "requestId": "public-demo-v1",
  "reportingYear": null,
  "ruleVersion": null,
  "vessel": null,
  "portCalls": [
    {
      "portCallId": "demo-port-1",
      "unlocode": "NLRTM",
      "memberStatePort": true,
      "isPortOfCall": true,
      "specialTreatment": "ordinary",
      "startedAt": "2026-01-01T00:00:00Z",
      "endedAt": "2026-01-01T01:00:00Z"
    },
    {
      "portCallId": "demo-port-2",
      "unlocode": "USNYC",
      "memberStatePort": false,
      "isPortOfCall": true,
      "specialTreatment": "ordinary",
      "startedAt": "2026-01-02T00:00:00Z",
      "endedAt": "2026-01-02T01:00:00Z"
    }
  ],
  "legs": [
    {
      "legId": "demo-leg-1",
      "departurePortCallId": "demo-port-1",
      "arrivalPortCallId": "demo-port-2",
      "departureAt": "2026-01-01T01:00:00Z",
      "arrivalAt": "2026-01-02T00:00:00Z",
      "fuelRecords": [
        {
          "recordId": "demo-fuel-1",
          "consumptionStartAt": "2026-01-01T01:00:00Z",
          "consumptionEndAt": "2026-01-02T00:00:00Z",
          "fuelType": "HFO",
          "massTonnes": "1",
          "dataTruth": "estimated"
        }
      ]
    }
  ],
  "berthRecords": [
    {
      "recordId": "demo-berth-1",
      "portCallId": "demo-port-1",
      "consumptionStartAt": "2026-01-01T00:00:00Z",
      "consumptionEndAt": "2026-01-01T01:00:00Z",
      "fuelType": "MDO_MGO",
      "massTonnes": "1",
      "dataTruth": "estimated"
    }
  ],
  "priceInput": null,
  "scenario": null
}
```

## Output

```json
{
  "schemaVersion": {
    "label": "Schema version",
    "format": "text"
  },
  "actor": {
    "label": "Actor",
    "format": "text"
  },
  "requestDigest": {
    "label": "Request digest",
    "format": "text"
  },
  "preparedReportDigest": {
    "label": "Prepared report digest",
    "format": "text"
  },
  "status": {
    "label": "Status",
    "format": "text"
  },
  "resultFound": {
    "label": "Settlement claimed in row",
    "format": "boolean"
  },
  "confidence": {
    "label": "Confidence",
    "format": "json"
  },
  "dataQuality": {
    "label": "Data quality",
    "format": "json"
  },
  "inputIdentity": {
    "label": "Input identity",
    "format": "json"
  },
  "limitations": {
    "label": "Limitations",
    "format": "json"
  },
  "result": {
    "label": "Exposure",
    "format": "json"
  },
  "rule": {
    "label": "Rule",
    "format": "json"
  },
  "sources": {
    "label": "Sources",
    "format": "json"
  },
  "truthLedger": {
    "label": "Truth ledger",
    "format": "json"
  }
}
```

## About this Actor

This example demonstrates how to use [EU ETS Voyage Carbon Exposure Evidence](https://apify.com/zinin/voyage-carbon-compliance-evidence) with a specific input configuration. Visit the [Actor detail page](https://apify.com/zinin/voyage-carbon-compliance-evidence) to learn more, explore other use cases, and run it yourself.


## 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.
This Task's input is already configured above — use it as-is rather than inventing a new one.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
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For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/zinin/voyage-carbon-compliance-evidence.md

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).
