Financial Datasets adds Data APIs, Interest Rates, and APIs & SDKs coverage that Monexa skips.
VOL. XCIV, NO. 247
★ FINANCIAL TOOLS & SERVICES DIRECTORY ★
PRICE: 5 CENTS
Wednesday, December 3, 2025
Tool Comparison
Financial Datasets vs Monexa comparison
Compare pricing, supported platforms, categories, and standout capabilities to decide which tool fits your workflow.
Quick takeaways
Monexa includes News Sentiment, Calendar, Transcripts, Valuation Models, Analyst Forecasts, Analyst Price Targets, Dividends, Institutional Data, 13D/13G, Screeners, Watchlist, Investor Holdings, US Government Trades, and AI Chat categories that Financial Datasets omits.
In depth comparison
Financial Datasets
financialdatasets.ai
Developer‑first US‑equities API designed for AI agents and quant apps: real‑time quotes + minute/EOD historical prices, standardized financial statements & metrics, SEC filings (with section extraction), insider trades (Form 4), institutional ownership (13F), company news with sentiment, segmented financials, interest‑rate snapshots, and crypto prices. Auth via X‑API‑KEY; Developer plan includes 1,000 req/min; Pro supports unlimited and redistribution. Also offers a Model Context Protocol (MCP) server and community integrations (LangChain, Dify, n8n). US market only; options/indices/FX not yet covered.
Platforms
Pricing
Quick highlights
- REST API covering financial statements (income/balance/cash‑flow), financial metrics, stock prices (snapshot + minute/day/week/month/year), SEC filings lists & item extraction, insider trades, institutional ownership (13F), segmented revenues, company news with sentiment, interest‑rate snapshots, and crypto prices.
- US coverage only with 30,000+ tickers (active & delisted) and 30+ years of fundamentals; endpoint‑specific counts vary (e.g., prices/metrics pages show different tickers).
- Real‑time endpoints where applicable (e.g., stock price snapshot, Form 4 updates, news/press releases via RSS, interest‑rate announcements); historical series for backtesting.
- Simple auth (X‑API‑KEY) and straightforward request model; OpenAPI schema published; tickers lists available per endpoint (e.g., /prices/tickers).
- AI/agent integrations: official remote MCP server (HTTP/SSE) for assistants; ecosystem plugs include LangChain toolkit, a Dify plugin, and example n8n workflows.
Community votes (overall)
Monexa
monexa.ai
AI‑augmented equity research workstation with company dashboards (financials, estimates, insider trades, dividends, SEC filings, ownership), news with sentiment filters, an equity screener, watchlists, Whale Tracker (institutional portfolios/13F), and Congressional Trading. Pro unlocks AI reports (corporate finance, peer benchmarks, SWOT) and full transcript history/analysis.
Categories
Platforms
Pricing
Quick highlights
- Company dashboards with tabs for Financials, Estimates, Insider Transactions, Dividends, SEC Filings, Ownership, and Transcripts.
- AI Financial Analysis: executive overview, bull/base/bear scenario modeling, and financial‑health (cash, leverage, DuPont) refreshed each earnings cycle (Pro).
- AI Peer Analysis: benchmark valuation, growth, profitability, and capital returns vs. peers in one AI report (Pro).
- AI SWOT Analysis previews and full SWOT in Pro.
- Earnings call Transcripts with gated full history and transcript analysis in Pro.
Community votes (overall)
Where they differ
Financial Datasets
Distinct strengths include:
- REST API covering financial statements (income/balance/cash‑flow), financial metrics, stock prices (snapshot + minute/day/week/month/year), SEC filings lists & item extraction, insider trades, institutional ownership (13F), segmented revenues, company news with sentiment, interest‑rate snapshots, and crypto prices.
- US coverage only with 30,000+ tickers (active & delisted) and 30+ years of fundamentals; endpoint‑specific counts vary (e.g., prices/metrics pages show different tickers).
- Real‑time endpoints where applicable (e.g., stock price snapshot, Form 4 updates, news/press releases via RSS, interest‑rate announcements); historical series for backtesting.
- Simple auth (X‑API‑KEY) and straightforward request model; OpenAPI schema published; tickers lists available per endpoint (e.g., /prices/tickers).
Monexa
Distinct strengths include:
- Company dashboards with tabs for Financials, Estimates, Insider Transactions, Dividends, SEC Filings, Ownership, and Transcripts.
- AI Financial Analysis: executive overview, bull/base/bear scenario modeling, and financial‑health (cash, leverage, DuPont) refreshed each earnings cycle (Pro).
- AI Peer Analysis: benchmark valuation, growth, profitability, and capital returns vs. peers in one AI report (Pro).
- AI SWOT Analysis previews and full SWOT in Pro.
Feature-by-feature breakdown
| Attribute | Financial Datasets | Monexa |
|---|---|---|
Categories Which research workflows each platform targets | Shared: News, Financials, Insider Data, 13F Unique: Data APIs, Interest Rates, APIs & SDKs | Shared: News, Financials, Insider Data, 13F Unique: News Sentiment, Calendar, Transcripts, Valuation Models, Analyst Forecasts, Analyst Price Targets, Dividends, Institutional Data, 13D/13G, Screeners, Watchlist, Investor Holdings, US Government Trades, AI Chat |
Asset types Supported asset classes and universes | Stocks, Cryptos | Stocks, ETFs |
Experience levels Who each product is built for | Intermediate, Advanced | Beginner, Intermediate, Advanced |
Platforms Where you can access the product | Web, API | Web |
Pricing High-level pricing models | Free, Subscription, Other | Free, Subscription |
Key features Core capabilities called out by each vendor | Unique
| Unique
|
Tested Verified by hands-on testing inside Find My Moat | Not yet | Not yet |
Editor pick Featured inside curated shortlists | Standard listing | Standard listing |
Frequently Asked Questions
Which workflows do Financial Datasets and Monexa both support?
Both platforms cover News, Financials, Insider Data, and 13F workflows, so you can research those use cases in either tool before digging into the feature differences below.
Do Financial Datasets and Monexa require subscriptions?
Both Financial Datasets and Monexa keep freemium access with optional paid upgrades, so you can trial each platform before committing.
How can you access Financial Datasets and Monexa?
Both Financial Datasets and Monexa prioritize web or desktop access. Investors wanting a mobile-first workflow may need to rely on responsive web views.
What unique strengths set the two platforms apart?
Financial Datasets differentiates itself with REST API covering financial statements (income/balance/cash‑flow), financial metrics, stock prices (snapshot + minute/day/week/month/year), SEC filings lists & item extraction, insider trades, institutional ownership (13F), segmented revenues, company news with sentiment, interest‑rate snapshots, and crypto prices., US coverage only with 30,000+ tickers (active & delisted) and 30+ years of fundamentals; endpoint‑specific counts vary (e.g., prices/metrics pages show different tickers)., and Real‑time endpoints where applicable (e.g., stock price snapshot, Form 4 updates, news/press releases via RSS, interest‑rate announcements); historical series for backtesting., whereas Monexa stands out for Company dashboards with tabs for Financials, Estimates, Insider Transactions, Dividends, SEC Filings, Ownership, and Transcripts., AI Financial Analysis: executive overview, bull/base/bear scenario modeling, and financial‑health (cash, leverage, DuPont) refreshed each earnings cycle (Pro)., and AI Peer Analysis: benchmark valuation, growth, profitability, and capital returns vs. peers in one AI report (Pro)..
Keep exploring
Keep exploring
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Curation & Accuracy
This directory blends AI‑assisted discovery with human curation. Entries are reviewed, edited, and organized with the goal of expanding coverage and sharpening quality over time. Your feedback helps steer improvements (because no single human can capture everything all at once).
Details change. Pricing, features, and availability may be incomplete or out of date. Treat listings as a starting point and verify on the provider’s site before making decisions. If you spot an error or a gap, send a quick note and I’ll adjust.