Alpha Spread adds Screeners, Stock Comparison, Stock Ideas, Valuation Models, Transcripts, Analyst Price Targets, Analyst Forecasts, Watchlist, Portfolio, and Alerts coverage that Financial Datasets skips.
VOL. XCIV, NO. 247
★ FINANCIAL TOOLS & SERVICES DIRECTORY ★
PRICE: 5 CENTS
Thursday, December 4, 2025
Tool Comparison
Alpha Spread vs Financial Datasets comparison
Compare pricing, supported platforms, categories, and standout capabilities to decide which tool fits your workflow.
Quick takeaways
Financial Datasets includes Data APIs, Insider Data, 13F, and Interest Rates categories that Alpha Spread omits.
In depth comparison
Alpha Spread
alphaspread.com
Stock‑valuation platform centered on intrinsic value. Combines DCF and relative valuation into a scenario range (bear/base/bull), adds Wall Street estimates/targets, profitability & solvency scoring, a flexible screener (with alerts), watchlists, an investment journal, curated news, and side‑by‑side comparisons. Enterprise plan advertises API access (currently limited/waitlisted), with public self‑serve tiers Free, Premium, and Unlimited.
Categories
Platforms
WebAPI
Pricing
FreeSubscription
Quick highlights
- Automatic intrinsic value from two methods (DCF + relative valuation) with bear/base/bull range; “valuation history” views.
- Manual DCF with sensitivity analysis; separate discount‑rate (CAPM/WACC) calculator.
- Stock screener with valuation, Wall St targets/estimates, profitability, solvency, dividend safety/shareholder yield; prebuilt screens (e.g., Magic Formula) and email screener alerts.
- Watchlists plus targeted alerts: price/valuation thresholds, analyst price‑target changes, and insider activity.
- Analyst section with price targets and forward estimates; earnings‑calls section; AI assistant for natural‑language summaries/questions.
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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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Where they differ
Alpha Spread
Distinct strengths include:
ScreenersStock ComparisonStock IdeasValuation ModelsTranscriptsAnalyst Price TargetsAnalyst ForecastsWatchlist
- Automatic intrinsic value from two methods (DCF + relative valuation) with bear/base/bull range; “valuation history” views.
- Manual DCF with sensitivity analysis; separate discount‑rate (CAPM/WACC) calculator.
- Stock screener with valuation, Wall St targets/estimates, profitability, solvency, dividend safety/shareholder yield; prebuilt screens (e.g., Magic Formula) and email screener alerts.
- Watchlists plus targeted alerts: price/valuation thresholds, analyst price‑target changes, and insider activity.
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
| Attribute | Alpha Spread | Financial Datasets |
|---|---|---|
Categories Which research workflows each platform targets | Shared: Financials, News, APIs & SDKs Unique: Screeners, Stock Comparison, Stock Ideas, Valuation Models, Transcripts, Analyst Price Targets, Analyst Forecasts, Watchlist, Portfolio, Alerts | Shared: Financials, News, APIs & SDKs Unique: Data APIs, Insider Data, 13F, Interest Rates |
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
| 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 Alpha Spread and Financial Datasets both support?
Both platforms cover Financials, News, and APIs & SDKs workflows, so you can research those use cases in either tool before digging into the feature differences below.
Do Alpha Spread and Financial Datasets require subscriptions?
Both Alpha Spread and Financial Datasets keep freemium access with optional paid upgrades, so you can trial each platform before committing.
How can you access Alpha Spread and Financial Datasets?
Both Alpha Spread 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?
Alpha Spread differentiates itself with Automatic intrinsic value from two methods (DCF + relative valuation) with bear/base/bull range; “valuation history” views., Manual DCF with sensitivity analysis; separate discount‑rate (CAPM/WACC) calculator., and Stock screener with valuation, Wall St targets/estimates, profitability, solvency, dividend safety/shareholder yield; prebuilt screens (e.g., Magic Formula) and email screener alerts., 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..
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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.