Data Coverage

ApiFinance AI is built to cover the core data investor and research applications need: security discovery, quote and valuation context, statement history, filing evidence, and earnings events.

Overview

The public API focuses on a compact set of high-value datasets that work well together for research, dashboards, screening, and internal financial applications.

Coverage Areas

The public API currently focuses on:

• company search and symbol discovery
• quote and valuation snapshots
• valuation history
• earnings calendar data
• income statement history
• balance sheet history
• cash flow statement history
• ratio history
• growth history
• filing metadata
• insider trading history

Historical Depth

For fundamental data, ApiFinance AI supports up to 30 years of financial history where filings are available.

That makes the API useful for:

• long-term valuation work
• time-series analysis
• screening across multiple market cycles
• portfolio research
• backtesting

Statement Coverage

The statement endpoints are designed for period-based analysis:

• income for profitability and operating performance
• balance_sheet for assets, liabilities, and capital structure
• cash_flow for operating, investing, and financing activity
• ratio for cross-period quality, leverage, and valuation metrics
• growth for historical growth-rate views

Each endpoint supports multi-period retrieval so you can compare quarterly or annual data over time.

Market And Identity Coverage

The search, list, quote, and valuation endpoints give you the minimum building blocks for mapping a ticker to a listed security and pulling current market data.

The sec_filings, statement, earnings-calendar, and insider-trading endpoints give you the evidence-oriented workflows that sit around that core market layer.

Use them to:

• find the right symbol
• inspect the active security universe
• attach current quote and valuation data to a ticker
• inspect filing dates and accession numbers for audit or drill-down flows

Coverage Notes

• Coverage can vary by company, exchange, and filing availability
• Historical depth depends on the underlying public record for that issuer
• Some fields may be unavailable for certain symbols or periods

Practical Takeaway

If your product depends on financial fundamentals over time, coverage is not just about breadth. It is also about how far back the data goes and whether the source is consistent enough to support analysis.

ApiFinance AI is organized around that requirement so you can build dashboards, research tools, and data workflows on top of a single API surface.