# Check a forecast claim — Canada GDP growth 2027

**Use case:** 

Look up one published forecast ("Canada's economy will grow 1.8% in 2027") against the OECD Economic Outlook series and get the ledger's calibration evidence for that kind of claim. Edit the claim fields to check your own.

## Input

```json
{
  "mode": "lookup",
  "claim_text": "The IMF expects Canada's economy to grow 1.8% in 2027.",
  "source": "oecd_eo",
  "series": "RGDP_GROWTH_A",
  "geo": "CAN",
  "target_period": "2027",
  "point": "1.8",
  "published_at": "2026-06-01"
}
```

## Output

```json
{
  "status": {
    "label": "Status",
    "format": "string"
  },
  "_provenance.mode": {
    "label": "Mode",
    "format": "text"
  },
  "mode": {
    "label": "Mode asked (demand log)",
    "format": "string"
  },
  "asked_at": {
    "label": "Asked at",
    "format": "string"
  },
  "source": {
    "label": "Organization",
    "format": "string"
  },
  "series": {
    "label": "Series",
    "format": "string"
  },
  "geo": {
    "label": "Geo",
    "format": "string"
  },
  "horizon_bucket": {
    "label": "Horizon",
    "format": "string"
  },
  "n": {
    "label": "Resolved claims",
    "format": "integer"
  },
  "rmse": {
    "label": "RMSE",
    "format": "number"
  },
  "mean_error": {
    "label": "Mean error",
    "format": "number"
  },
  "band_coverage": {
    "label": "Band coverage",
    "format": "number"
  },
  "reading": {
    "label": "Reading",
    "format": "string"
  },
  "reason": {
    "label": "Reason",
    "format": "object"
  },
  "error": {
    "label": "Error",
    "format": "string"
  },
  "_provenance.billable_event": {
    "label": "Charged event",
    "format": "text"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The Calibration Ledger — trust a forecast, with evidence (beta) Actor is ready to run with the inputs already set for "Check a forecast claim — Canada GDP growth 2027". [Sign up or log in](https://console.apify.com/create-task-from-example/VGaaqlotgmxlagP9R) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Check a forecast claim — Canada GDP growth 2027" task

The Calibration Ledger — trust a forecast, with evidence (beta) Actor will start running based on the input automatically. You can also change all the input fields, like mode, claim (text mode), and more, to match your specific use case.

### 3. Receive the "Check a forecast claim — Canada GDP growth 2027" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as status, mode, mode asked (demand log), and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Check a forecast claim — Canada GDP growth 2027" task via API](https://apify.com/publicrecords/calibration-ledger.md).

## About this Actor

This example demonstrates how to use [Calibration Ledger — trust a forecast, with evidence (beta)](https://apify.com/publicrecords/calibration-ledger.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/publicrecords/calibration-ledger.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

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

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/publicrecords/calibration-ledger.md

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).