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Best Financial Modeling Prep Alternatives ranked by AI · updated Aug 2026

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Financial Modeling Prep provides APIs and web tools for stock prices, company fundamentals, financial statements, market data, and economic indicators. It is aimed at developers, analysts, researchers, and finance applications that need structured investment data.

Developer: Financial Modeling Prep Price: Freemium, paid plans from approximately $22/mo 🎯 site.financialmodelingprep.com

Top 6 Financial Modeling Prep alternatives

1 Alpha Vantage logo

Alpha Vantage

Alpha Vantage

πŸ’‘ Pick it for a simpler API and strong technical-indicator coverage, especially for prototypes and education.

Alpha Vantage offers APIs for equities, foreign exchange, cryptocurrencies, technical indicators, and company fundamentals. It serves developers, educators, researchers, and small finance...

Pros

  • Strong beginner-friendly documentation and broad technical-indicator coverage
  • Includes a usable free tier for prototypes and educational projects
  • Covers stocks, forex, cryptocurrencies, and fundamentals through one API

Cons

  • Free-tier request limits are restrictive for production workloads
  • Intraday and bulk-data capacity is generally weaker than specialized providers
  • Fundamental coverage is less model-ready than Financial Modeling Prep for some workflows

Freemium, premium plans from approximately $49.99/mo

πŸ’‘ Pick it when real-time U.S. quotes, trades, options, or low-latency streaming matter more than broad fundamentals.

Polygon is a protocol and a framework for building and connecting Ethereum-compatible blockchain networks.

3 Twelve Data logo

Twelve Data

Twelve Data

πŸ’‘ Pick it for a unified global, multi-asset API with technical indicators and streaming support.

Twelve Data supplies APIs for global stocks, ETFs, forex, cryptocurrencies, technical indicators, and market fundamentals. It targets developers and financial products that...

Pros

  • Broad international and multi-asset coverage
  • Consistent API design with built-in technical indicators
  • WebSocket support is useful for dashboards and live applications

Cons

  • Fundamental statement depth can be narrower than Financial Modeling Prep
  • Usage, symbol, and real-time limits depend heavily on the plan
  • Some exchange coverage requires separate licensing or higher tiers

Freemium, paid plans from approximately $29/mo

4

Finnhub

Finnhub

πŸ’‘ Pick it when news, sentiment, earnings events, and fundamentals need to sit alongside market data.

Finnhub provides APIs for market data, company fundamentals, news, sentiment, earnings, and alternative datasets. It is aimed at developers building investment research...

Pros

  • Combines price data with news, earnings, sentiment, and company metrics
  • Useful WebSocket and event-driven features for application developers
  • Free access is suitable for experimentation and smaller personal projects

Cons

  • Free request limits can be restrictive for public or high-volume products
  • Historical depth and exchange coverage vary by dataset
  • Financial-statement workflows may require more normalization than Financial Modeling Prep

Freemium, paid plans available

5

EODHD

EODHD

πŸ’‘ Pick it for affordable historical and international end-of-day data used in research, screening, or backtesting.

EODHD offers end-of-day and intraday prices, fundamentals, dividends, splits, news, and exchange listings through APIs. It serves quantitative researchers, portfolio tools, and...

Pros

  • Strong end-of-day historical coverage across international exchanges
  • Useful datasets for dividends, splits, listings, and corporate fundamentals
  • Often cost-effective for backtesting and portfolio research

Cons

  • Less suitable than Polygon for low-latency real-time trading
  • API conventions and dataset quality can differ across exchanges
  • Intraday depth and fundamental normalization vary by subscription level

From approximately $19.99/mo

6

yfinance

Ran Aroussi

πŸ’‘ Pick it for free Python-based research and prototyping when production guarantees and official feeds are not required.

yfinance is an open-source Python library that retrieves Yahoo Finance market data for analysis and research. It is mainly used by individual...

Pros

  • No paid API subscription is required for common research use
  • Convenient Python interface for prices, statements, dividends, and options
  • Excellent for notebooks, teaching, and rapid quantitative prototypes

Cons

  • Unofficial data access can be less stable than a commercial API
  • No guaranteed service-level agreement or production support
  • Rate limits, missing fields, and historical inconsistencies require defensive coding

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