VOL. XCIV, NO. 247

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Saturday, December 13, 2025

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Tool Comparison

Financial Datasets vs Intrinio comparison

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

Quick takeaways

Financial Datasets adds Insider Data, 13F, Interest Rates, and APIs & SDKs coverage that Intrinio skips.

Intrinio includes Options & Derivatives, ETF Holdings, Institutional Data, Dividends, Splits, Analyst Forecasts, Analyst Recommendations, and Analyst Price Targets categories that Financial Datasets omits.

Financial Datasets has a free tier, while Intrinio requires a paid plan.

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

WebAPI

Pricing

FreeSubscriptionOther

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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Intrinio

intrinio.com

Financial data vendor offering flexible dataset-level subscriptions and bulk one-time downloads. Real-time options require OPRA licensing, though a lighter 'OptionsEdge' product avoids that complexity. Data is delivered via REST, WebSocket, CSV, or integrations like Snowflake, S3, and FTP.

Platforms

WebAPI

Pricing

SubscriptionOne-time

Quick highlights

REST API with JSON output and WebSocket streaming for real-time market data.
SDKs available for Python and R, with detailed documentation and examples.
US fundamentals: standardized and as-reported data back to 2006, sourced from SEC filings, updated in real time as filings arrive.
Equity prices: IEX real-time, Nasdaq Basic, 15-minute delayed SIP, and CBOE One delayed; end-of-day history spans 50+ years with dividend/split adjustments.
Options data: real-time OPRA feed with Greeks and implied volatility via API and WebSocket, plus delayed, intraday, and historical coverage.

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Where they differ

Financial Datasets

Distinct strengths include:

Insider Data 13F Interest Rates APIs & SDKs

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).

Intrinio

Distinct strengths include:

Options & Derivatives ETF Holdings Institutional Data Dividends Splits Analyst Forecasts Analyst Recommendations Analyst Price Targets

REST API with JSON output and WebSocket streaming for real-time market data.
SDKs available for Python and R, with detailed documentation and examples.
US fundamentals: standardized and as-reported data back to 2006, sourced from SEC filings, updated in real time as filings arrive.
Equity prices: IEX real-time, Nasdaq Basic, 15-minute delayed SIP, and CBOE One delayed; end-of-day history spans 50+ years with dividend/split adjustments.

Feature-by-feature breakdown

Attribute	Financial Datasets	Intrinio
Categories Which research workflows each platform targets	Shared: Data APIs, News, Financials Unique: Insider Data, 13F, Interest Rates, APIs & SDKs	Shared: Data APIs, News, Financials Unique: Options & Derivatives, ETF Holdings, Institutional Data, Dividends, Splits, Analyst Forecasts, Analyst Recommendations, Analyst Price Targets
Asset types Supported asset classes and universes	Stocks, Cryptos	Stocks, ETFs, Options, Mutual Funds
Experience levels Who each product is built for	Intermediate, Advanced	Beginner, Intermediate, Advanced
Platforms Where you can access the product	Web, API	Web, API
Pricing High-level pricing models	Free, Subscription, Other	Subscription, One-time
Key features Core capabilities called out by each vendor	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).	Unique REST API with JSON output and WebSocket streaming for real-time market data. SDKs available for Python and R, with detailed documentation and examples. US fundamentals: standardized and as-reported data back to 2006, sourced from SEC filings, updated in real time as filings arrive. Equity prices: IEX real-time, Nasdaq Basic, 15-minute delayed SIP, and CBOE One delayed; end-of-day history spans 50+ years with dividend/split adjustments. Options data: real-time OPRA feed with Greeks and implied volatility via API and WebSocket, plus delayed, intraday, and historical coverage. OptionsEdge product: delivers a 'real-time feel' for options without OPRA licensing requirements.
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 Intrinio both support?

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

Which tool offers a free plan?

Financial Datasets offers a free entry point, while Intrinio requires a paid subscription. Review the pricing table to see how the paid tiers compare.

How can you access Financial Datasets and Intrinio?

Both Financial Datasets and Intrinio 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 Intrinio stands out for REST API with JSON output and WebSocket streaming for real-time market data., SDKs available for Python and R, with detailed documentation and examples., and US fundamentals: standardized and as-reported data back to 2006, sourced from SEC filings, updated in real time as filings arrive..

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