Valuein
Valuation
PIT-safe

Valuation Metrics

get_valuation_metrics
Sample and above

Get 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

example_call.pypython
# 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

No token required

Paste this in your terminal — the free tier returns real sample data without authentication.

try-it.shbash
# 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

ParameterTypeRequiredDescription
tickerstring
required
Stock ticker symbol, e.g. AAPL, MSFT — or a CIK (SEC identifier), e.g. '0000320193'.
fiscal_yearintegeroptionalFiscal year (YYYY). Omit to return most recent periods.
period"annual" | "quarterly"optionalFiling period granularity. Annual uses 10-K; quarterly uses 10-Q.Default: "annual"
as_of_datestringoptionalPoint-in-time date (YYYY-MM-DD). Only returns data with accepted_at on or before this date. Eliminates look-ahead bias for backtesting.
limitintegeroptionalMaximum number of periods to return (1–40). Defaults to 5.Default: 5

Output Fields

tickerperiodas_of_dateperiods_returneddata

Example Response

Illustrative
response.jsonjson
[  {    "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.

Try this tool

Get tokenAll tools
CategoryValuation
PIT-safeYes
Min planSample
Inputs5 (1 required)

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