CatalystWire adds Regulatory Filings Monitoring coverage that Financial Datasets skips.
VOL. XCIV, NO. 247
★ FINANCIAL TOOLS & SERVICES DIRECTORY ★
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Sunday, October 19, 2025
Head-to-head
CatalystWire 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, Financials, Insider Data, 13F, Interest Rates, and APIs & SDKs categories that CatalystWire omits.
CatalystWire highlights: AI scanning of hundreds of RNS announcements per day to surface potential catalysts., Real‑time classification of market‑moving events as they are released., and UK‑centric focus aligned to LSE’s Regulatory News Service (Main Market & AIM)..
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..
Financial Datasets keeps a free entry point that CatalystWire lacks.
CatalystWire
catalystwire.co
RNS-first discovery tool for UK equities. Uses AI to scan and categorize London Stock Exchange RNS announcements in real time (e.g., management changes, turnarounds). Best suited to event‑driven and small/mid‑cap investors tracking UK market catalysts. Public docs do not show a pricing table or API; fields left intentionally minimal pending vendor confirmation.
Categories
Platforms
Pricing
Quick highlights
- AI scanning of hundreds of RNS announcements per day to surface potential catalysts.
- Real‑time classification of market‑moving events as they are released.
- UK‑centric focus aligned to LSE’s Regulatory News Service (Main Market & AIM).
Community votes (overall)
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)
Shared focus areas
1 overlapBoth tools cover this research theme.
Where they differ
CatalystWire
Distinct strengths include:
- AI scanning of hundreds of RNS announcements per day to surface potential catalysts.
- Real‑time classification of market‑moving events as they are released.
- UK‑centric focus aligned to LSE’s Regulatory News Service (Main Market & AIM).
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 | CatalystWire | Financial Datasets |
---|---|---|
Categories Which research workflows each platform targets | Shared: News Unique: Regulatory Filings Monitoring | Shared: News Unique: Data APIs, Financials, Insider Data, 13F, Interest Rates, APIs & SDKs |
Asset types Supported asset classes and universes | Stocks | Stocks, Cryptos |
Experience levels Who each product is built for | Intermediate, Advanced | Intermediate, Advanced |
Platforms Where you can access the product | Web | Web, API |
Pricing High-level pricing models | 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 CatalystWire and Financial Datasets both support?
Both platforms cover News 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 CatalystWire requires a paid subscription. Review the pricing table to see how the paid tiers compare.
How can you access CatalystWire and Financial Datasets?
Both CatalystWire 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?
CatalystWire differentiates itself with AI scanning of hundreds of RNS announcements per day to surface potential catalysts., Real‑time classification of market‑moving events as they are released., and UK‑centric focus aligned to LSE’s Regulatory News Service (Main Market & AIM)., 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.