Both serve financial data APIs with fundamental data. The key differences are data source transparency, API design philosophy, and target audience.
Choose FactStream if you want guaranteed SEC EDGAR-sourced data with a simple, focused API and transparent pricing. Choose FMP if you need broader coverage including international stocks, ETFs, mutual funds, and commodities.
| Feature | FactStream | Financial Modeling Prep |
|---|---|---|
| Data source | SEC EDGAR only (transparent) | Multiple (mix of sources) |
| SEC filings (10-K, 10-Q, 8-K) | ||
| Financial statements | ||
| US stock coverage | 10,000+ | 10,000+ |
| International stocks | ||
| ETFs & mutual funds | ||
| Real-time prices | ||
| Historical depth | 10 years | 10+ years |
| Number of endpoints | Focused (~20) | 100+ endpoints |
| API design | Simple, RESTful, consistent | Broad, many endpoints |
| Starter price | $49/mo | $19/mo (limited) |
| Free trial | 30 days, no CC | Free tier (250 req/day) |
Every data point comes from SEC EDGAR. You always know where your numbers originate. FMP aggregates from multiple sources, making provenance harder to verify.
~20 focused endpoints with consistent patterns. Easy to learn in an afternoon. FMP has 100+ endpoints which can be overwhelming for simple use cases.
Clean, consistent JSON responses. Official Python client. Designed by developers, for developers building financial apps.
Monthly API call limits clearly stated. No hidden throttling or undocumented limits.
International stocks, ETFs, mutual funds, commodities, forex, and crypto. FactStream covers US equities only.
Live stock quotes and price data. FactStream focuses on fundamental/historical data, not real-time prices.
FMP starts at $19/mo (with limited requests) and has a permanent free tier. Good for hobby projects.
Earnings calendar, IPO calendar, economic data, and more. Wider surface area for diverse use cases.
FactStream's API is designed for simplicity — get clean financial data with minimal code:
import factstream
client = factstream.Client(api_key="your_api_key")
# Compare revenue growth for two companies
for ticker in ["AAPL", "MSFT"]:
income = client.financials.income_statement(
ticker=ticker,
period="annual",
limit=3
)
print(f"\n{ticker} — Revenue (last 3 years):")
for stmt in income:
yoy_growth = ""
print(f" {stmt.fiscal_year}: ${stmt.revenue:,.0f} {yoy_growth}")
# Get key valuation metrics in one call
metrics = client.metrics.get(ticker=ticker)
print(f" P/E: {metrics.pe_ratio:.1f}")
print(f" P/B: {metrics.pb_ratio:.1f}")
print(f" EV/EBITDA: {metrics.ev_to_ebitda:.1f}")