Data catalog

FundSpec fair value

A model based fair value with a calibrated range and a conviction tier for every priced US company.

Cadence
Daily after the close
Coverage
USD filers with priced fundamentals, about 7,000
History
Daily history for the trailing year
Availability
Live

What you get

  • A single fair value per company from FundSpec's valuation model, plus a range calibrated to contain the realised price about eighty percent of the time.
  • Comparable companies are chosen by the model from business characteristics rather than by label, and are returned with their weights.

What makes it reliable

  • The model learns from history as it was known at the time, so its estimates are not flattered by hindsight.
  • Ranges and conviction tiers are calibrated against realised outcomes by company size.
Request
curl -H "Authorization: Bearer fsd_live_your_key" \
  https://fundspecdata.io/v3/v3/fair-value/AAPL
Response (excerpt)
{
  "ticker": "AAPL",
  "date": "2026-09-03",
  "price": 328.21,
  "fair_value": 145.4,
  "range": {
    "low": 98.2,
    "high": 212.7,
    "coverage": 0.8
  },
  "tier": "overvalued",
  "gap": -0.557
}

Field dictionary

Key fields. The complete list with types is in the API reference, generated from the same definitions that validate every response.

FieldTypeDescription
fair_valuenumberModel fair value per share.
range.lownumberLower bound of the calibrated range.
range.highnumberUpper bound of the calibrated range.
range.coveragenumberShare of realised prices the range is calibrated to contain.
gapnumberFair value relative to price, as a decimal.
tierstringstrongly_undervalued, undervalued, fair, overvalued or strongly_overvalued.
comparablesarrayPeer tickers with model weights.