Best AI stock-research tools: a source-to-answer comparison

Compare the tools by the job#

These options can work together. You can use an agent with Helmbeam for company context and saved research, or work directly in a general assistant with documents you supply. An API serves a different need when you are building software around financial data. This comparison uses documented capabilities; it is not a comparative accuracy benchmark.

Helmbeam agent research: build a company view you can return to#

Choose Helmbeam when you want to investigate a company and keep developing your understanding across reports. Start with our Snapshot view and Numbers to see the business evidence, then ask your agent to explore the question that matters to you. For example, if sales are growing, is that growth producing stronger operating earnings and reaching each share?

Our five lenses give that investigation a structure. Business examines revenue growth; Earnings considers operating profit strength; Shareholders looks at growth per share, dilution and stock pay. Resilience examines financial room, while Price shows the expectations at the report date. You can follow the relevant measures in Numbers and ask your agent to explain the relationship between them. Our five-lens methodology explains the measure definitions and their dates.

Try asking: "Use Helmbeam to research this company. Explain what changed in its latest report, how that affects the thesis and what I should check next. Show the relevant sources and reporting periods, and save the brief to Helmbeam."

Your agent can use available Helmbeam company data and its own sources, then save a brief with its findings, counterarguments, uncertainties and what would change the view. Read the result in the company's Research tab. When you ask for an update, the Research log retains saved versions alongside your notes, so you can compare the new reasoning with what you believed before.

Agent research comes with Helmbeam Pro, including the free trial. Follow our agent research setup guide to approve a compatible agent and the access it needs to read company context and save research. Your agent writes the brief; we keep it with your company research. You choose when to ask for a new investigation or update.

ChatGPT, Claude and Perplexity: begin with the evidence route#

ChatGPT can search the web and show sources when search is used. OpenAI's documentation also tells users to confirm that the material is current and correct. A response without a retrieved filing should not be treated as if it has read one. Ask for the exact document and period, then open the citation. ChatGPT web search, using ChatGPT and checking its work.

Claude also documents web search with source citations. That makes it a candidate for comparing a company's explanation with the relevant filing, provided the source is accessible in the session. A web-search capability does not mean every uploaded document, paywalled report or financial-data integration is included in every plan. Claude web-search documentation.

Perplexity combines search-led answers with a finance surface. Its July 2025 product release describes an earnings hub and automated insights alongside financial tables. Those are useful entry points for a company question; the filing beneath the summary still supplies the reporting period and accounting detail. Confirm current company coverage and account access rather than assuming every finance or enterprise feature is included. Perplexity Finance product release.

For professional teams, AlphaSense describes access to filings, earnings transcripts, broker research and expert transcripts within its financial-research platform. Consider that route when licensed research coverage is central to the job. Check the content included in the contract; a professional content library is a different purchase from a personal chat subscription. AlphaSense financial-research platform.

Fiscal.ai: inspect the data beneath the answer#

Fiscal.ai's API documents as-reported and standardised financial data, company KPIs and a source-to-filing add-on. Its agent documentation describes tasks built on that infrastructure. This is an option for a reader or team connecting financial data to software, not a claim that the API's history and add-ons come with a consumer subscription. Check the endpoint package, company coverage and source-link entitlement before building around it. Fiscal.ai API documentation, source-linked agent tasks.

Standardisation is convenient for comparisons, but it introduces a question: has a provider grouped an item differently from the issuer? When a ratio looks surprising, trace both numerator and denominator. Keep management's adjusted profit separate from reported operating profit, and distinguish an estimate from a result.

Give every tool the same small research task#

Use a question you can verify without paying for a second data service. For example: “Using these two annual reports, calculate operating margin for both years, explain the change and link each input to its source. Keep reported results separate from management adjustments.” Supply the report URLs or files and specify the currency and fiscal year.

Suppose the supplied hypothetical statements show sales rising from $100 million to $120 million and operating profit from $20 million to $21 million. The correct margins are 20% and 17.5%, a fall of 2.5 percentage points. Profit grew 5%, but sales grew faster. An answer calling this margin expansion has failed the task even if its description of the company sounds persuasive.

Now ask what explains the difference. A responsible answer should distinguish a cause actually disclosed in the report from a possible explanation. “Hiring may have increased costs” is not equivalent to a cited disclosure that staff costs rose by a specified amount. The SEC's guide to financial statements provides the underlying statement relationships; our amounts are hypothetical.

Keep a short record of the result: source opened, period correct, arithmetic correct, explanation supported, unknowns stated. Do not collapse those checks into a single confidence score that conceals which part failed.

Choose the workflow you will keep using#

Choose Helmbeam agent research if you want company evidence and your agent's developing thesis in one place. A general assistant may cover a one-off filing question when you already have the documents. Professional research libraries and financial-data APIs become relevant when you need their particular content or integration capabilities.

For report-to-report work, use the earnings comparison tools guide to choose the statements, transcripts and dated expectations you need. If retaining your reasoning is the missing step, compare investment-thesis tracking tools. These decisions often matter more than adding another general-purpose assistant.

You can download Helmbeam for iPhone or Android, open a company you want to understand and use our agent research guide to begin. Work through one question, inspect its evidence and save the conclusion. You then have a starting point for the next report.