VOL. XCIV, NO. 247

★ FINANCIAL TOOLS & SERVICES DIRECTORY ★

PRICE: 5 CENTS

Friday, October 10, 2025

Head-to-head

Business Quant vs Financial Datasets comparison

Compare pricing, supported platforms, categories, and standout capabilities to decide which tool fits your workflow.

Quick takeaways

Business Quant adds Screeners, Stock Comparison, Data Visualizations, Scores, and Flags coverage that Financial Datasets skips.

Financial Datasets includes News, Interest Rates, and APIs & SDKs categories that Business Quant omits.

Business Quant highlights: Stock screener with over 700 financial metrics and flexible filtering across 8,000+ U.S. stocks., Extensive KPI and operating metrics library with 100,000+ datasets covering more than 1,800 companies., and Integrated SEC filings (15+ years), institutional ownership via 13F reports, and insider trading disclosures (Form 4)..

Financial Datasets is known for: 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..

Business Quant logo

Business Quant

businessquant.com

A U.S. equities research platform combining fundamentals, ownership data, and operating metrics. The free plan includes 15+ years of history with delayed updates. Pro subscribers get daily updates, KPI datasets, and data downloads, while Enterprise adds API access and rights for commercial use.

Platforms

Web
API

Pricing

Free
Subscription

Quick highlights

  • Stock screener with over 700 financial metrics and flexible filtering across 8,000+ U.S. stocks.
  • Extensive KPI and operating metrics library with 100,000+ datasets covering more than 1,800 companies.
  • Integrated SEC filings (15+ years), institutional ownership via 13F reports, and insider trading disclosures (Form 4).
  • Comparison modules for individual stocks, industry aggregates, time-series tables, and customizable charts.
  • Download capabilities in CSV and Excel for most datasets and visualizations.

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Financial Datasets logo

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

Web
API

Pricing

Free
Subscription
Other

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.

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Overlap

Shared focus areas

4 overlaps

Mutual strengths include Financials, 13F, and Insider Data plus 1 more area.

Where they differ

Business Quant

Distinct strengths include:

  • Stock screener with over 700 financial metrics and flexible filtering across 8,000+ U.S. stocks.
  • Extensive KPI and operating metrics library with 100,000+ datasets covering more than 1,800 companies.
  • Integrated SEC filings (15+ years), institutional ownership via 13F reports, and insider trading disclosures (Form 4).
  • Comparison modules for individual stocks, industry aggregates, time-series tables, and customizable charts.

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).

Feature-by-feature breakdown

AttributeBusiness QuantFinancial Datasets
Categories

Which research workflows each platform targets

Shared: Financials, 13F, Insider Data, Data APIs

Unique: Screeners, Stock Comparison, Data Visualizations, Scores, Flags

Shared: Financials, 13F, Insider Data, Data APIs

Unique: News, Interest Rates, APIs & SDKs

Asset types

Supported asset classes and universes

Stocks

Stocks, Cryptos

Experience levels

Who each product is built for

Beginner, Intermediate, Advanced

Intermediate, Advanced

Platforms

Where you can access the product

Web, API

Web, API

Pricing

High-level pricing models

Free, Subscription

Free, Subscription, Other

Key features

Core capabilities called out by each vendor

Unique

  • Stock screener with over 700 financial metrics and flexible filtering across 8,000+ U.S. stocks.
  • Extensive KPI and operating metrics library with 100,000+ datasets covering more than 1,800 companies.
  • Integrated SEC filings (15+ years), institutional ownership via 13F reports, and insider trading disclosures (Form 4).
  • Comparison modules for individual stocks, industry aggregates, time-series tables, and customizable charts.
  • Download capabilities in CSV and Excel for most datasets and visualizations.
  • Clear plan structure: Basic (free, delayed data), Pro (daily updates and exports), Enterprise (API access and commercial rights).

Unique

  • 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.
  • Flexible pricing: subscriptions (Developer $200/mo; Pro $1,000/mo; Enterprise) plus pay‑as‑you‑go credits with per‑endpoint pricing and some free endpoints (e.g., company facts, earnings press releases, macro rates).
Tested

Verified by hands-on testing inside Find My Moat

Not yet

Not yet

Editor pick

Featured inside curated shortlists

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Frequently Asked Questions

Which workflows do Business Quant and Financial Datasets both support?

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

Do Business Quant and Financial Datasets require subscriptions?

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

How can you access Business Quant and Financial Datasets?

Both Business Quant and Financial Datasets 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?

Business Quant differentiates itself with Stock screener with over 700 financial metrics and flexible filtering across 8,000+ U.S. stocks., Extensive KPI and operating metrics library with 100,000+ datasets covering more than 1,800 companies., and Integrated SEC filings (15+ years), institutional ownership via 13F reports, and insider trading disclosures (Form 4)., whereas Financial Datasets stands out for 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..

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.