Global Stock Market Skill

Overview

Global Stock Market provides monthly share price index data for major economies worldwide. The index is normalized to 2015=100, making it easy to compare relative market performance across countries. Data spans from 2000 to present for most countries. Use this for economic research, country comparison, and global market analysis.

Live Test Global Stock Market Skill Skill →

The tool

Once your client is connected to the VerveKit server, this appears in its tool list as GlobalStockMarketSkill. It is read-only and open-world — it fetches and never mutates anything on your side — so most clients call it without asking you to confirm.

Tool call

{
  "name": "GlobalStockMarketSkill",
  "arguments": {
    "country": "DE"
  }
}

You do not name the tool yourself; the model picks it. Asking about DE in the terms this skill covers is enough for it to reach for GlobalStockMarketSkill on its own — naming it explicitly also works, and is the way to force the call.

Connecting

One server URL covers every skill in the catalog, including this one. Authorization is OAuth: the client opens a browser once, and there is no key to paste into a config file.

{
  "mcpServers": {
    "vervekit": {
      "url": "https://api.vervekit.com/v1/mcp"
    }
  }
}

Per-client setup — Claude, Cursor, VS Code, ChatGPT — is on the MCP setup page.

Arguments

These are the properties on the tool's inputSchema, so a well-behaved client validates them before the call is made. Premium arguments are accepted on every plan but only take effect on plans that include them.

Argument	Type	Description
`country`Required	string	ISO 2-letter country code `AUATBEBRCACHCLCN`+28 length 2–2
`year`OptionalPremium	integer	Year to retrieve data for (2000-present). Requires month parameter. range 2000–2030
`month`OptionalPremium	integer	Month to retrieve data for (1-12). Required when year is specified. range 1–12

What the model gets back

The result carries a structuredContent object matching the tool's declared outputSchema, so a client reads fields without parsing prose. status is "ok" and error is null on success; a null field means the value was not available for that input, not that the call failed.

Result

{
  "status": "ok",
  "error": null,
  "data": {
    "country": "DE",
    "countryName": "Germany",
    "baseline": "2015=100",
    "year": 2023,
    "month": 6,
    "value": 154.28,
    "date": "2023-06-01"
  }
}

Response fields

Paths are relative to data. Premium fields are absent rather than zeroed on plans that do not include them, so check for presence instead of comparing to 0.

Field	Type	Example	Description
`country`	string	`DE`	ISO 2-letter country code for the market
`countryName`	string	`Germany`	Full country name for the stock market
`baseline`	string	`2015=100`	Baseline year for index normalization (2015=100)
`year`	number	`2023`	Year of the returned data
`month`	number	`6`	Month of the returned data (1-12)
`value`	number	`154.28`	Normalized share price index value (2015=100)
`date`	string	`2023-06-01`	Date of the data point (YYYY-MM-DD)

Failure modes

Errors come back as tool errors carrying a sentence the model can act on, not a bare status code. Error handling covers the full list.

Status	What it means
`400` / `422`	The arguments did not validate. The message names the offending one.
`401`	The OAuth session is invalid or expired — reconnect the server.
`403`	Blocked by a key restriction or an IP allow-list. Never a bad identity.
`404`	This skill is not part of VerveKit. Check the catalog.
`429`	Out of credits, or a brief rate limit. The message tells them apart.

A call costs 2 credits each time the tool actually runs; a model that reasons about the tool without calling it costs nothing.

Use cases

Country Comparison: Compare stock market performance between countries like Germany vs France over the past decade
Economic Research: Analyze global market trends and correlations between national economies
Investment Analysis: Evaluate which country markets have outperformed or underperformed relative to 2015 baseline
Market Dashboards: Build global market overview dashboards showing performance across regions

Other ways to use Global Stock Market Skill

Set up Global Stock Market Skill on VerveKit, or reach the same source a different way. Your VerveKit account and credits work on all of them — one key, one balance.

Call it as a REST APIOne HTTPS endpoint and an x-api-key header, with SDKs for Node, Python and .NET.APIVerve →Reference →

Google Sheets or ExcelA =VERVE() formula fills a column — no script, no export, recalculates in place.VerveSheets →Reference →

Ground an agent on itA cited, machine-checkable fact your model can't produce on its own.VerveContext →Reference →