★ BEST INVESTING TOOLS COMPARISON ★
VOL. XCIV, NO. 247
Tool comparison edition
Tool Comparison
Financial Datasets vs QuickFS
Financial Datasets
Best for screeners and analyst forecasts
From $200/mo
QuickFS
Best for data visualizations and sheets / excel add-ins
Free • From $29/mo
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The verdict
The bottom line
Financial Datasets and QuickFS cover a lot of the same ground (2 shared categories, APIs & data feeds and financials), so for the basics you won't go far wrong with either. Financial Datasets simply does more: 9 categories to QuickFS's 4, including screeners, analyst forecasts, and insider data. QuickFS counters by letting you start free.
Key differences at a glance
- Real-time data
- Financial Datasets
- Free plan
- QuickFS
- Cheaper paid plan
- QuickFS$29/mo vs $200/mo
- Broader coverage
- Financial Datasets9 vs 4 categories
- Desktop app
- QuickFS
- Global coverage
- QuickFS
Choose
Financial Datasets if…
- Delayed quotes won't cut it; you need real-time data
- You care about screeners, analyst forecasts, and insider data, things QuickFS doesn't offer
Choose
QuickFS if…
- You'd rather start free and only pay if you outgrow it
- You want the cheaper way in: plans start at $29/mo instead of $200/mo
- You care about data visualizations and sheets / excel add-ins, things Financial Datasets doesn't offer
- You're newer to investing and want something approachable
Comparison snapshot
| Attribute | ||
|---|---|---|
| Pricing & plans | ||
Starting price | From $200/mo | Free • From $29/mo |
Free tier | No | Yes |
Free trial | — | — |
Plan limits | 16 limits: Credits: get /earnings: $0.01 / request, Credits: get /prices: $0.02 / request +14 more | — |
| Platforms & access | ||
Web app | Yes | Yes |
Desktop app | No | Yes |
Mobile app | No | No |
API access | Yes | Yes |
Broker sync | No | — |
Integrations | Claude, Cursor +4 more | Microsoft Excel |
| Audience & fit | ||
Experience level | Intermediate, Advanced | Beginner, Intermediate, Advanced |
Best for | Quants/Developers, Algo Traders +1 more | — |
Categories covered | 9 | 4 |
Regions | North America | North America, Europe, APAC |
| Data & capabilities | ||
Data quality | 3 signals: Latency: Real-time and End of Day, Granularity: Minute and EOD +1 more | Latency: End of Day and Granularity: EOD |
Capabilities | Universe builder | — |
| Try it | Visit Financial Datasets | Visit QuickFS |
Standout features
What Financial Datasets does best
- 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 (17,000+ tickers), including active and delisted stocks; non-US markets not yet available.
- 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).
- Stock Screener endpoint screens stocks by applying multiple fundamental filters (field/operator/value) across available financial metrics.
- Institutional ownership dataset is sourced from Form 13F filings (investment managers with $100M+ AUM); documentation notes the 45-day reporting lag from quarter end.
What QuickFS does best
- 20‑year history for 200+ standardized metrics and statements across 40,000+ international stocks.
- Excel add‑in with =QFS("ticker","metric","period") to pull data directly into models (Mac/Windows/Excel Online); Microsoft AppSource still lists the add-in and states a QuickFS account is required.
- Public REST API for fundamentals, market data, and company metadata; batch requests supported.
- One‑click Excel/CSV exports and bulk database downloads (full‑universe CSV files).
- Ticker format with country suffix (e.g., AAPL:US) and global coverage across U.S., Canada, Europe, Australia, and more.
Data & access details
| Attribute | ||
|---|---|---|
| Coverage & fit | ||
Asset types | StocksCryptos | Stocks |
Experience | IntermediateAdvanced | BeginnerIntermediateAdvanced |
Target audience | Quants/DevelopersAlgo TradersAnalysts | Not specified |
Regions | North America | North AmericaEuropeAPAC |
Coverage details | Countries: USExchanges: NASDAQ, NYSE, and AMEXIdentifiers: Ticker and CIK | 4 countriesIdentifiers: Ticker |
| Data | ||
Data freshness | Real-timeEnd of Day | End of Day |
Data granularity | MinuteEOD | EOD |
| Access & integrations | ||
API protocols | REST | REST |
API auth & delivery | Auth: APIKey and OAuth2WebhooksDocs | Auth: APIKey |
Integrations | ClaudeCursorWindsurfVS CodeZedmcp-remote | Microsoft Excel |
Export formats | Not specified | CSVExcelJSON |
| Plans & trust | ||
Capability signals | Universe builder | Not specified |
Vendor & support | Financial Datasets, Inc.Support: Email | QuickFS.net, LLCSupport: Email |
Curation ratings | Not specified | Methodology 3/5Reliability 4/5UX 4/5 |
Green tags are exclusive to that tool in this comparison.
Pricing breakdown
$200/mo
Starting price
Plans & pricing
- get /earnings: $0.01 / request
- get /prices: $0.02 / request
- +14 more
$29/mo
Lower starting price
Plans & pricing
Coverage overlap
Shared categories
2Where the two tools cover the same ground.
Financial Datasets strengths
7What you only get with Financial Datasets.
QuickFS strengths
2What you only get with QuickFS.
Community category leaders
Vote sentiment comparison
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Frequently Asked Questions
What's the difference between Financial Datasets and QuickFS?
Financial Datasets leans toward APIs & data feeds, financials, and screeners, while QuickFS puts more weight on financials, data visualizations, and APIs & data feeds. They overlap in 2 categories, so for most people it comes down to workflow preference and price.
Is Financial Datasets or QuickFS free to use?
QuickFS has a free tier, so you can get started without paying anything. Financial Datasets is paid-only. If budget matters, start with QuickFS and see how far it takes you before opening your wallet.
Which is better for beginners: Financial Datasets or QuickFS?
QuickFS is the friendlier place to start; its interface takes less getting used to. Both work fine once you're past the basics.
Do Financial Datasets and QuickFS have APIs?
Yes, both offer API access, so developers and quants can pull data programmatically or wire up their own integrations.
Should I choose Financial Datasets or QuickFS?
It depends on what you're after. Pick Financial Datasets if screeners and analyst forecasts matter to you; go with QuickFS if you'd rather have data visualizations and sheets / excel add-ins. And if you only need the basics both share, let price decide.
What asset classes do Financial Datasets and QuickFS cover?
Both cover stocks. Financial Datasets also handles cryptos.
Does Financial Datasets or QuickFS have real-time data?
Financial Datasets offers real-time data, which matters if you trade actively. QuickFS runs on delayed or end-of-day data, which is perfectly fine for longer-term investors who don't live and die by the tick.
Which covers international markets: Financial Datasets or QuickFS?
QuickFS has documented international coverage (North America, Europe, and APAC), so it's the safer bet if you hold non-US stocks. Financial Datasets is more region-specific, mainly North America.
Can I export data from Financial Datasets and QuickFS?
QuickFS exports to CSV and Excel. Financial Datasets is stingier about getting data out.
Which has a better stock screener: Financial Datasets or QuickFS?
Financial Datasets has a stock screener for surfacing ideas; QuickFS doesn't, and focuses its energy elsewhere.
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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.