# statcan.series.data

Retrieve the latest N data points for a Statistics Canada time series identified by vector ID. Returns chronological observations with reference period, value, and release timestamp. For annual series: latest_n=10 returns 10 years; for monthly series: 10 returns 10 months. Maximum 100 periods per call. Values represent the original unit (e.g. index points, thousands of persons, millions of CAD) with precision set by the series decimals field. Null values indicate suppressed or unavailable data for that period. Source: Statistics Canada WDS, Canada Open Licence, no auth required.

Agent View of the PolicyLayer registry record for `statcan.series.data`. HTML page: https://policylayer.com/tools/io-github-whiteknightonhorse-apibase/statcan.series.data

## Facts

- Tool: `statcan.series.data`
- Server: Apibase (`apibase-mcp-client`) — https://policylayer.com/tools/io-github-whiteknightonhorse-apibase.md
- Install: `npx -y apibase-mcp-client`
- Homepage: https://github.com/whiteknightonhorse/APIbase
- Risk category: Write (Medium risk)
- Registry record: grade F, identity unverified
- Server auth posture: open
- Server rate-limited: no
- Parameters: 2 (1 required)
- Recommended policy verdict: Rate-limited

## Parameters

| Parameter | Type | Required | Description |
| --- | --- | --- | --- |
| `latest_n` | integer | no | Number of most-recent data points to return (1–100). Defaults to 10. Annual tables: 10 = last 10 years; monthly: 10 = last 10 months. |
| `vector_id` | integer | yes | Statistics Canada vector ID for the time series to retrieve data for (e.g. 32164132). Obtain from table_metadata or series_info. |

Parameters from the server's own tool schema.

## Example call (MCP tools/call, JSON-RPC 2.0)

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "statcan.series.data",
    "arguments": {
      "vector_id": 0
    }
  }
}
```

## Why statcan.series.data is rated Medium

An AI agent can call statcan.series.data faster than any human can review: one bad instruction and it creates or modifies resources in Apibase by the hundred, each call as confident as the last.

## Use case

AI agents use statcan.series.data to create or update resources in Apibase, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Apibase environment.

## Recommended policy (PolicyLayer)

Verdict: **Rate-limited**. Enforced by the PolicyLayer MCP gateway (https://policylayer.com/mcp-gateway) before a call reaches Apibase:

```json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "statcan.series.data": {
      "limits": [
        {
          "counter": "statcan.series.data_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}
```

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## For agents

This record is a snapshot. Live verdicts and the full registry:

- Check every server in your MCP config at once: `npx -y policylayer stack`
- Vet a server before you add it: install the mcp-precheck skill — `npx skills add https://policylayer.com` (skill text: https://policylayer.com/skill.md)
- Query the registry over MCP: endpoint `https://api.policylayer.com/mcp` — tools `check_mcp_server`, `check_mcp_stack`, `check_tool`, `search_registry`, `get_change_events`

---

Source: the PolicyLayer MCP registry — one continuously verified record per MCP server. Full record: https://policylayer.com/registry?q=io-github-whiteknightonhorse-apibase · API: https://policylayer.com/registry/api · Policy library: https://policylayer.com/policies/io-github-whiteknightonhorse-apibase