AI Stock Research Without Prompt Glue
What the workflow replaces
Before
- Separate quote, filing, and statement sources.
- Manual prompt assembly with inconsistent fields.
- No easy way to reproduce the same research path later.
After
- One structured toolchain for profiles, statements, metrics, growth, prices, earnings, and filings.
- Agent-ready JSON for repeatable memo generation.
- Natural path into saved research and monitoring.
Research workflow
Search and resolve the right symbol before analysis starts.
Pull profiles, statements, metrics, growth, valuation history, earnings, and filing metadata into one working set.
Generate a structured research memo or comparison table from grounded JSON.
Save the name to a watchlist and revisit after price moves or earnings.
Typical report outputs
Structured outputs
- Company quality summary
- Valuation context and multiple compression risk
- Revenue, EPS, free cash flow, and dilution trend review
- Capital allocation and owner-earnings view
Example prompt
Compare Apple and Microsoft over the last five annual periods.
Highlight margin durability, free cash flow strength, valuation context, and the latest major filing links.
Return a concise research memo plus a comparison table.Endpoint groups that make the workflow work
Fundamental metrics
Use one endpoint to pull normalized return, margin, leverage, liquidity, and payout fields for a research memo or screen.
View docsGrowth
Review compounding and dilution with revenue, EPS, FCF, book-value-per-share, dividend, and share-count growth.
View docsCapital allocation and owner earnings
Inspect buybacks, dividends, debt changes, stock-based compensation, and owner-earnings yield in the same workflow.
View docsValuation history, earnings, and estimates
Explain rerating, earnings timing, and forward expectations without leaving the same stock page or agent flow.
View docs