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Embed Fair Value data

Every way to use our fair-value data elsewhere: as a ready-made block on your own website, as a table in Excel or Google Sheets, as a dataset for your own analysis, or straight inside your AI assistant. Over 35,000 stocks, updated daily, free to use with attribution (CC BY 4.0). No key, no sign-up.

1 · Show it on your own website

The simplest route, no coding: copy the code, paste it into your page, done. It is plain HTML, so it works in WordPress, Wix, Squarespace, Notion or a newsletter, with no script and no changes to your stylesheet.

Fair-value badge for one stock

Shows fair value and the gap to the price. Dropbox as an example. This is how it looks:

Dropbox Inc · Fair Value
$50.52 +77%
Fair Value
Calculator →

Copy this code (click selects everything):

For a SPECIFIC stock: open that stock page and use its “Embed” box, then the badge carries its numbers.

List of undervalued quality stocks

The current top 5 as a compact list:

Most undervalued quality stocks
  1. PDD Holdings Inc.+152%
  2. Lululemon Athletica Inc.+148%
  3. CGI Inc+143%
  4. Cognizant Technology Solutions Corp Class A+127%
  5. Haier Smart Home Co Ltd+122%
See all · Fair Value Calculator →

Note: the snippet is a snapshot. For permanently fresh numbers, copy the code again now and then, or read the datasets below automatically.

2 · In Excel or Google Sheets

One line into an empty cell and the list appears as a table, refreshable with one click. No download needed.

Google Sheets

=IMPORTDATA("https://www.fairvalue-calculator.com/undervalued-stocks.csv")

Excel

Data → From Web → paste the address above. Excel creates a refreshable connection.

3 · Download the datasets

Three ready-made, daily-fresh lists. Choose the format via the extension: .json or .csv. Optionally filter by sector with ?sector=technology.

Undervalued quality stocks (JSON) CSV Overvalued stocks (JSON) CSV Value traps (cheap but weak quality) (JSON) CSV

Fields

FieldMeaning
tickerExchange ticker symbol
companyCompany name
upside_pctGap from price to our fair value in % (positive = undervalued)
quality_scoreQuality score 0 to 100 (profitability, growth, balance sheet, moat)
price_localCurrent price in the listing currency
evidenceConfidence tier: low, medium or high
sectorGICS sector
countryListing country
urlLink to the stock page

Provenance: our fair value from multiple models on company-reported fundamentals (regulatory filings) plus third-party market data. Update frequency: daily. Every response carries snapshot_date, license and source.

4 · In your AI assistant (ChatGPT, Claude and others)

Connect Fair Value Calculator to ChatGPT, Claude, Perplexity and others via our MCP server. The assistant can then resolve a stock, fetch a preview and a fair-value verdict, and compare two stocks.

Set up integrations → Research datasets (CC BY) → Datasets on GitHub →

5 · In your own code

curl

curl -s https://www.fairvalue-calculator.com/undervalued-stocks.json

Python (pandas)

import pandas as pd
df = pd.read_json("https://www.fairvalue-calculator.com/undervalued-stocks.json")
print(df["stocks"].apply(pd.Series)[["ticker","upside_pct","quality_score"]].head())

JavaScript

const r = await fetch("https://www.fairvalue-calculator.com/undervalued-stocks.json");
const { stocks } = await r.json();
console.table(stocks.slice(0, 10));

Google Sheets

=IMPORTDATA("https://www.fairvalue-calculator.com/undervalued-stocks.csv")

GitHub

All datasets are also a Git repository to clone and track (including market valuation by sector and country): github.com/petz00711/fvc-open-data

License & citation

Free to use under CC BY 4.0. Attribution is appreciated, a plain-text credit or a link is fine:

Source: Fair Value Calculator (fairvalue-calculator.com), accessed 2026-08-14.

Rate limits protect the service; for higher frequency or a custom cut, write to [email protected].

Research & data

Dated data studies from the Fair Value engine, free to cite with attribution. Every study ships methodology, limitations and a CSV download.

Global Equity Fair Value Report August 2026
Global market vs aggregate fair value: +34.6 %
Global Equity Fair Value Report July 2026
Global market vs aggregate fair value: +33.8 %