StockMarketAgent.AI vs StockAnalysis.com
StockAnalysis.com is the cleanest free data-table site for individual equities. Ratio history, financial statements, screener queries, and per-ticker statistics load fast and stay accurate. What StockAnalysis does not do is tell you what to think about the data. The site is deliberately a reference tool. StockMarketAgent.AI is the editorial layer on top: same factual scaffolding, plus a thesis, a house fair value, a bear case, and a verdict.
Screen the whole listed universe free, then read the deep report on the published coverage list. The screen is wide because breadth is cheap. The research list is narrow because every ticker on it gets the whole methodology - archetype, models, sensitivities, bear case - rather than a generated page.
Where StockAnalysis.com wins
Speed and breadth on raw data
Per-ticker statistics, ratio history, dividend history, and financial-statement views render in under two seconds on most pages. For a quick lookup of a single number, StockAnalysis is the right tool.
Screener depth
The free screener exposes hundreds of fields per ticker across 90+ markets. Building custom queries against a multi-market dataset is faster there than anywhere else in the free tier of the space.
URL pattern fluency
Ten distinct sub-pages per ticker (forecast, statistics, financials, dividends, peers, history, profile) match user search behavior closely. The platform got there first and has a head start on SERP coverage of those exact intents.
Where StockMarketAgent.AI wins
Editorial verdict, not just data
Every report ships a recommendation, an action plan, a bear case, a house fair value, and a separate potential value. StockAnalysis surfaces the data; the synthesis layer is left to the reader.
Methodology transparency
Reader-safe model cards publish the role, output, weight, calculation inputs, and limitations for the valuation lenses that shaped each report. StockAnalysis presents ratios but does not explain how to weight them into a thesis.
Bear-case-first structure
Risk runs before optimism, with named kill scenarios. Most data sites lack a risk surface entirely and leave the reader to assemble one from scattered ratios.
Consistent English research schema
The launch product publishes one consistent English research schema across every covered ticker. Additional locales remain unavailable until quality review is complete.
Side by side
Editorial verdict
Use StockAnalysis when you need a number fast, want to run a screener, or want to spot-check a ratio. Use StockMarketAgent.AI when you want a thesis on the ticker that comes with the methodology behind it. The two are complementary tools more often than competitors. Many serious self-directed investors use both.
On StockAnalysis.com vs StockMarketAgent.AI
Is StockMarketAgent.AI a StockAnalysis.com alternative?
It is the editorial layer on top of the same kind of data StockAnalysis surfaces, plus an analyst-grade verdict, one house fair value, a separate potential value, and a dedicated bear case. If you only want raw ratios, StockAnalysis is sufficient. If you want synthesis, this is the lift.Does StockMarketAgent.AI have its own screener?
Yes, and it is free with no account: the whole listed universe filterable by market cap, forward and trailing P/E, P/S, PEG, dividend yield, ROE, ROIC, gross margin, debt-to-equity, and one-year return. StockAnalysis still exposes more fields and more markets, so for exhaustive multi-market queries it remains the more direct tool. The difference is what sits on top: the screen narrows the universe, and the research layer then covers the published coverage list with a full published report.Is the per-ticker statistics page on StockAnalysis still useful?
Yes. The two surfaces solve different problems. StockAnalysis is the fastest free reference for ratios and statistics. StockMarketAgent.AI is the report you read once you have decided you want a thesis on the ticker rather than just a number.Why not just write your own analysis on top of StockAnalysis?
You can. The cost is the time to assemble a multi-method valuation, run a sensitivity grid, write the bear case, and reconcile the lenses into a house fair value. The platform packages that work into a published, dated report you can argue with.