Valuation Metrics
get_valuation_metricsGet what a US public company is TRADING AT, plus two parameter-free reference points. This is NOT an opinion of intrinsic worth — for that, call `compute_dcf` with assumptions you state explicitly, and present the result as a scenario, never as "the" fair value. Returns per-pe...
Example Call
# Using the Valuein MCP server from Python (via MCP SDK)# Or call directly from Claude / Cursor after setup result = await client.call_tool( "get_valuation_metrics", arguments={ "ticker": "EXAMPLE"})print(result)Direct tool call:get_valuation_metrics(ticker="AAPL", limit=3)
Try it now
Paste this in your terminal — the free tier returns real sample data without authentication.
# No auth required — the Sample tier covers a large-cap US benchmark universe with a 5-year window.# Add -H "Authorization: Bearer $VALUEIN_TOKEN" for the full universe and history.curl -X POST https://mcp.valuein.biz/mcp \ -H "Content-Type: application/json" \ -H "Accept: application/json, text/event-stream" \ -d '{ "jsonrpc": "2.0", "id": 1, "method": "tools/call", "params": { "name": "get_valuation_metrics", "arguments": { "ticker": "AAPL", "limit": 3 } } }'Inputs
| Parameter | Type | Required | Description |
|---|---|---|---|
ticker | string | required | Stock ticker symbol, e.g. AAPL, MSFT — or a CIK (SEC identifier), e.g. '0000320193'. |
fiscal_year | integer | optional | Fiscal year (YYYY). Omit to return most recent periods. |
period | "annual" | "quarterly" | optional | Filing period granularity. Annual uses 10-K; quarterly uses 10-Q.Default: "annual" |
as_of_date | string | optional | Point-in-time date (YYYY-MM-DD). Only returns data with accepted_at on or before this date. Eliminates look-ahead bias for backtesting. |
limit | integer | optional | Maximum number of periods to return (1–40). Defaults to 5.Default: 5 |
Output Fields
tickerperiodas_of_dateperiods_returneddataExample Response
[ { "ticker": "AAPL", "period": null, "as_of_date": null, "periods_returned": null, "data": null }]Shape only — field names match the live schema; values are placeholders, not real filings. Returns Apple's last 3 annual periods with observed price multiples (P/E, P/B, EV/EBITDA, dividend yield, market cap), two parameter-free reference points (graham_number, ncav_per_share), and profitability ratios. No intrinsic value — call compute_dcf with your own assumptions for that.
Notes
DCF values are pipeline-computed estimates — not financial advice. Model assumptions (WACC, growth rates) are in the response for full transparency.
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