Dividends Skill

Overview

Dividends works by reading the per-share dividend amounts a US public company reports in its SEC XBRL filings and layering on derived intelligence the raw filings do not carry - year-over-year dividend growth, 3 and 5 year growth rates, average growth and the number of consecutive years the dividend has increased (the classic dividend-grower signal). Data is refreshed continuously from official SEC filings. Dividend yield is intentionally not included because it depends on a live share price.

Live Test Dividends Skill Skill →

The tool

Once your client is connected to the VerveKit server, this appears in its tool list as DividendsSkill. 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.

{
  "name": "DividendsSkill",
  "arguments": {
    "ticker": "AAPL"
  }
}

You do not name the tool yourself; the model picks it. Asking about AAPL in the terms this skill covers is enough for it to reach for DividendsSkill 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"
    }
  }
}

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.

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.

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{
  "status": "ok",
  "error": null,
  "data": {
    "ticker": "AAPL",
    "cik": "0000320193",
    "company": "Apple Inc.",
    "currency": "USD",
    "paysDividend": true,
    "latestDividendPerShare": 0.26,
    "latestDividendPeriod": "CY2026Q1",
    "latestDividendDate": "2026-03-28",
    "count": 5,
    "dividends": [
      {
        "period": "CY2026Q1",
        "periodEnd": "2026-03-28",
        "perShare": 0.26,
        "form": "10-Q"
      },
      {
        "period": "CY2025Q4",
        "periodEnd": "2025-12-27",
        "perShare": 0.26,
        "form": "10-Q"
      },
      {
        "period": "CY2025Q2",
        "periodEnd": "2025-06-28",
        "perShare": 0.26,
        "form": "10-Q"
      },
      {
        "period": "CY2025Q1",
        "periodEnd": "2025-03-29",
        "perShare": 0.25,
        "form": "10-Q"
      },
      {
        "period": "CY2024Q4",
        "periodEnd": "2024-12-28",
        "perShare": 0.25,
        "form": "10-Q"
      }
    ],
    "analytics": {
      "dividendGrowth1Y": 4.08,
      "dividendGrowth3YCagr": 4.26,
      "dividendGrowth5YCagr": 5.11,
      "consecutiveYearsOfGrowth": 7,
      "averageAnnualGrowthRate": 5.98,
      "isDividendGrower": true,
      "annualHistory": [
        {
          "period": "CY2018",
          "perShare": 0.68
        },
        {
          "period": "CY2019",
          "perShare": 0.75
        },
        {
          "period": "CY2020",
          "perShare": 0.795
        },
        {
          "period": "CY2021",
          "perShare": 0.85
        },
        {
          "period": "CY2022",
          "perShare": 0.9
        },
        {
          "period": "CY2023",
          "perShare": 0.94
        },
        {
          "period": "CY2024",
          "perShare": 0.98
        },
        {
          "period": "CY2025",
          "perShare": 1.02
        }
      ]
    }
  }
}

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.

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.

A call costs 6 credits each time the tool actually runs; a model that reasons about the tool without calling it costs nothing.

Use cases

Income Screener Filtering

Filter equity watchlists by whether a company pays dividends and check consecutive years of payout increases to find dependable dividend aristocrats.

Portfolio Income Tracking

Wealth management apps pull recent per-share amounts and reporting dates to project quarterly income across client holdings.

Dividend Reinvestment Calculations

When planning automated dividend reinvestments, brokerage platforms query the latest dividend per share to estimate incoming cash per lot.

Stock Profile Summaries

Financial publishers display multi-year payout histories and SEC filing forms directly on stock profile pages for retail investors.

Other ways to use Dividends Skill

Set up Dividends 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.

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