Financial research often involves more work around the numbers than with the numbers themselves. Finding the right filing, extracting financial figures and preparing comparable data can take significant time before the actual analysis begins. We have expanded financial data access through Clarifo's Model Context Protocol (MCP) integration, making it easier to retrieve reported figures, compare companies and verify sources directly inside AI research workflows.
Financial statements are structured data trapped in reporting documents
Annual reports, interim reports and regulatory filings contain the financial information analysts need. Yet moving that information into a usable format remains surprisingly difficult. Financial statements span multiple pages, reporting periods differ, and companies do not always use the same terminology.
Machine-readable formats such as XBRL help, but differences in accounting definitions, consolidation scope and reporting structures still create challenges when comparing companies.
Clarifo addresses this by providing a structured financial data layer for more than 7,000 public companies across the United States, Finland and Sweden. Our MCP integration makes that information accessible to AI assistants such as ChatGPT and Claude.
The goal is not simply to extract numbers faster. It is to make financial data easier to retrieve, compare and verify without leaving the research workflow.
From reported figures to financial analysis
Through Clarifo MCP, users can retrieve income statements, balance sheets, cash flow statements and key financial metrics. The same connection supports company comparisons, financial screening and searches across original company filings.
Consider an analyst examining Apple's operating performance. Instead of opening multiple annual reports and manually copying figures, the analyst can ask:
"Compare Apple's FY2024 and FY2025 revenue and operating income. Calculate operating margins and provide the original filing sources."
Clarifo's financial statement retrieval returns the following reported figures from Apple's fiscal 2024 and fiscal 2025 Form 10-K filings.
Metric FY2025 FY2024 Revenue $416.16bn $391.04bn Operating income $133.05bn $123.22bn Operating margin 32.0% 31.5%
Source: Apple Inc., FY2025 and FY2024 Form 10-K filings. Operating margins calculated from reported revenue and operating income. USD figures rounded.
Apple's reported revenue increased approximately 6.4% in FY2025, while operating income increased approximately 8.0%. The calculated operating margin improved by around 0.5 percentage points.
These are reported financial figures and straightforward calculations. Understanding the reasons behind the changes requires further analysis of Apple's disclosures, operating expenses and business performance.
That is where connecting structured financial data with filing search becomes valuable. The analyst can move directly from the numerical comparison to questions about the drivers behind the figures.
Why MCP changes the workflow
Model Context Protocol provides a standardised way for AI applications to access external tools and data sources. Instead of building a separate integration for every AI assistant, financial research capabilities can be exposed through a common interface.
With Clarifo MCP, users can work inside ChatGPT, Claude, Cursor and other compatible clients while accessing our financial research tools.
The distinction between the AI assistant and the financial data source matters. AI models are useful for interpreting questions, identifying relationships and explaining results. But financial figures should come from identifiable reporting sources rather than model memory.
Clarifo provides the underlying financial data, retrieval tools and source references. The AI assistant uses those tools to answer the user's question and organise the findings.
A single workflow can retrieve reported financial figures, compare companies, calculate financial ratios and return to the original filings. There is less need to manually copy numbers between reports, spreadsheets and AI conversations.
Source traceability remains essential
Financial analysis is only useful when the underlying information can be verified. A number without a reporting period, currency, accounting context or source reference can easily lead to incorrect conclusions.
Clarifo connects structured financial information to the original reporting material. For US companies, source references can lead to SEC EDGAR filings. For Nordic companies, users can inspect the underlying report pages through Clarifo's filing tools.
That connection becomes especially important when comparing companies that use different accounting policies or report alternative performance measures.
Structured data does not eliminate the need for professional judgment. Reported and adjusted figures must still be distinguished, and differences in accounting standards, fiscal calendars and consolidation scope must be considered.
The benefit is that verification becomes part of the same research process rather than a separate task.
One data layer for analysts, finance teams and developers
The practical applications extend beyond individual company research.
Equity analysts can build peer comparisons and examine financial trends across multiple reporting periods. Finance and accounting professionals can research industry reporting practices, benchmark financial performance and review disclosures. Developers can connect financial research capabilities to internal agents and applications.
For users who need direct programmatic access, Clarifo also provides a Data API covering financial statements, company information, filing retrieval and comparisons.
MCP provides a convenient connection for AI-driven workflows, while the API supports applications that need to consume data directly. Both approaches build on Clarifo's financial research infrastructure.
What comes next
Financial figures are usually the starting point of research, not the final result. An analyst might identify a margin change, investigate management's explanation, compare the development with peers and review the underlying accounting disclosures.
Bringing structured financial data and filing search into the same MCP environment makes these workflows easier to connect.
We will continue expanding how financial information can be retrieved and analysed across reporting periods, companies and markets. Our focus remains on reducing repetitive data work while keeping research connected to original sources.
The objective is simple: make financial research faster to repeat, easier to verify and more useful wherever the analysis takes place.
Connect Clarifo to ChatGPT and Claude
Bring financial statements, company filings and source-backed research directly into your AI workflow. Explore more than 7,000 public companies across the Nordics and the US.