Financial Datasets vs Gainify comparison

Both platforms cover Financials, Screeners, Analyst Forecasts, Insider Data, Institutional Data, and 13F workflows, so you can research those use cases in either tool before digging into the feature differences below.

Both Financial Datasets and Gainify keep freemium access with optional paid upgrades, so you can trial each platform before committing.

Both Financial Datasets and Gainify prioritize web or desktop access. Investors wanting a mobile-first workflow may need to rely on responsive web views.

Financial Datasets differentiates itself with Simple REST API designed for “AI financial agents, portfolio management tools, stock analysis platforms, quantitative trading algorithms,” with endpoints for financial statements, stock prices, segmented financials, insider trades, institutional ownership, SEC filings, crypto prices, news, and more., Market coverage for equities: “Complete US public company data” with “100% coverage” of US publicly-traded companies (30,000+ tickers), including active and delisted stocks; non-US markets not yet available., and Stock prices endpoint supports minute/day/week/month/year intervals and pulls prices from verified exchanges like NASDAQ, NYSE, and AMEX (useful for charting/backtesting workflows)., whereas Gainify stands out for Supercharged screener with 500+ filters across fundamentals, forward estimates, and valuation multiples., Conversational AI for valuation, key financials, and earnings‑call insights (real‑time aware)., and Earnings Calendar with dates, estimates and quick drilldowns..