Developer API + MCP server

Financial data,
with the analysis already done.

Clean, normalized SEC fundamentals — plus the valuation and analysis layer you'd otherwise build yourself. Over a simple REST API and a native MCP server.

Get a free API key View the data

GET /v1/fundamentals/AAPL

curl https://api.finkipedia.com/v1/fundamentals/AAPL \
  -H "Authorization: Bearer fk_live_your_key"

Companies covered: 13,310
Tickers fully analyzed: 8,514
Statement records: 214,188
Years of history: 27+

Sourced from SEC filings · refreshed daily · 1999–2026 · 8,545 tickers with valuation reports

Not just raw data. The interpretation too.

Most financial APIs hand you numbers. We hand you numbers and what they mean — the part you'd otherwise have to build yourself.

Normalized fundamentals

Income statement, balance sheet and cash flow as clean, consistent JSON — extracted and normalized from SEC filings, not scraped tables.

AI analysis & valuations

The layer no one else ships: narrative filing analysis, plain-language business overviews, and valuation reports across model variants — already computed.

Native MCP server

Drop the whole dataset into Claude, Cursor or any agent. One config block and your LLM can pull fundamentals, analysis and valuations as tools.

Built for builders

Simple REST, predictable JSON, a generous free tier, transparent limits, and a coverage endpoint you can quote. Start in 60 seconds.

From zero to a call in 60 seconds

Grab a key, send it as a Bearer token, and you're in.

cURL

curl https://api.finkipedia.com/v1/fundamentals/AAPL \
  -H "Authorization: Bearer fk_live_your_key"

Python

import requests

r = requests.get(
    "https://api.finkipedia.com/v1/fundamentals/AAPL",
    headers={"Authorization": "Bearer fk_live_your_key"},
)
print(r.json()["statements"][0]["income_statement"])

JavaScript

const res = await fetch("https://api.finkipedia.com/v1/fundamentals/AAPL", {
  headers: { Authorization: "Bearer fk_live_your_key" },
});
const data = await res.json();
console.log(data.statements[0].income_statement);

Response · GET /v1/fundamentals/AAPL 200 OK

{
  "ticker": "AAPL",
  "statements": [{
    "fiscal_year": 2024,
    "period_end_date": "2024-09-28",
    "currency": "USD",
    "income_statement": {
      "total_revenue": 391035000000,
      "gross_profit": 180683000000,
      "operating_income": 123216000000,
      "net_income": 93736000000,
      "diluted_eps": 6.08
    },
    "cashflow_statement": {
      "operating_cash_flow": 118254000000,
      "free_cash_flow": 108807000000
    }
  }]
}

Already normalized — the same line items for every company, so you can diff and compare without parsing filings.

See all endpoints & docs →

More than a price feed

Free wrappers give you a number. We give you the normalized statements, the written analysis, and a graded valuation — the work you'd otherwise do by hand.

yfinance — just a price

import yfinance as yf

yf.Ticker("AAPL").info["currentPrice"]
# -> 250.42

# A number. No normalized statements,
# no written analysis, no valuation call.

Finkipedia — a graded valuation

// agent calls get_valuation("AAPL")  →
{
  "ticker": "AAPL",
  "valuations": [{
    "valuation_model": "balanced_growth",
    "decision": "hold",
    "fair_value_range": [205, 240],
    "llm_model_used": "claude-opus-4-8"
  }],
  "disclaimer": "Informational only — not advice."
}

The same call is an MCP tool — your agent gets the graded valuation, analysis, and normalized fundamentals directly, no glue code.

For AI builders

Give your agent real financial data

Our MCP server turns the entire dataset into tools your LLM can call — get_fundamentals, get_valuation, get_analysis and more. Paste one config block into Claude Desktop or Cursor and your agent can research any company with grounded, structured data.

Informational only — generated/derived data, not investment advice.

claude_desktop_config.json

{
  "mcpServers": {
    "finkipedia": {
      "command": "python",
      "args": ["-m", "app.mcp.server"],
      "env": {
        "FINKIPEDIA_API_KEY": "fk_live_your_key",
        "FINKIPEDIA_API_BASE": "https://api.finkipedia.com"
      }
    }
  }
}