defeatbeta-analyst

name	defeatbeta-analyst
description	Professional financial analysis using 60+ market data APIs. Use for: company fundamentals (revenue, margins, EPS, balance sheet), valuation (P/E, P/B, P/S, PEG, DCF, intrinsic value), profitability (ROE, ROA, ROIC), growth trends (YoY revenue/earnings/FCF), earnings transcripts (key data, changes, guidance), industry benchmarking, segment/geography revenue breakdown, business model analysis, competitive landscape, risk analysis, investment thesis, bull/bear scenarios. Trigger on: stock tickers, company names, financial metrics, or any investment research request. DO NOT trigger for: general economics, non-public companies, crypto/commodities with no equity ticker.
argument-hint	<TICKER> [analysis-type]
compatibility	Requires defeatbeta MCP server

Financial Analyst

Professional-grade financial analysis using historical market data and comprehensive financial metrics from the defeatbeta dataset.

Defaults

Unless the user specifies otherwise:

• Always call get_latest_data_update_date first — this is "today" for all relative time queries
• Default analysis: When given only a ticker (e.g., /defeatbeta-analyst AAPL), run Template 1: Quick Investment Screening
• ROIC and Equity Multiplier: Not applicable to banks/financial institutions — check sector in profile first
• Date format: "YYYY-MM-DD"
• Data limits: Price/valuation APIs return max 1000 rows — use date ranges for large datasets

Template Selection

Choose the template that best matches the user's request. Read analysis-templates.md for the full workflow of any template.

User request	Template
Quick check / "should I look at this stock?"	T1: Quick Investment Screening
Full company deep-dive	T2: Full Fundamental Analysis
Overvalued / undervalued / P/E / P/B / DCF	T3: Valuation-Focused or T10: DCF Valuation
Revenue growth / earnings quality / ROIC	T4: Growth Quality Assessment
ROE decomposition / DuPont	T5: DuPont Analysis
Margin trends / vs peers	T6: Margin Analysis & Peer Comparison
Accruals / FCF quality / working capital	T7: Earnings Quality Assessment
Industry positioning	T8: Industry Positioning Analysis
Latest earnings release numbers	T9: Quarterly Earnings Analysis
"What did management report this quarter?"	T11: Extract Key Financial Data from Earnings Call
"What changed vs last quarter/year?"	T12: Financial Metric Changes from Earnings Call
"What is management's guidance/outlook?"	T13: Financial Metric Forecasts from Earnings Call
"What does this company do?" / business model	T14: Business Understanding
Revenue segments / geography breakdown	T15: Revenue Breakdown
Industry trends / tailwinds / headwinds	T16: Industry Context
Competitors / moat / pricing power	T17: Competitive Landscape
Balance sheet strength / debt / FCF quality	T18: Financial Quality
Risks / downside / what could go wrong	T19: Risks and Downside
Management track record / capital allocation	T20: Management and Execution
Bull case / bear case / scenarios	T21: Bull and Bear Scenarios
How to value / valuation assumptions	T22: Valuation Framework
Long-term thesis / why invest / must go right	T23: Long-Term Investment Thesis

API Gotchas

REQUIRED: Before calling any API, read the relevant section in defeatbeta-api-reference.md to confirm the correct parameters and response schema.

1. Fiscal periods: Earnings transcripts use fiscal periods (may differ from calendar) — specify both fiscal_year and fiscal_quarter
2. SEC filing access: Must use sec_user_agent field value as User-Agent header when accessing SEC URLs (SEC blocks without it)

Rendering Financial Statements

When displaying results from get_stock_*_income_statement, get_stock_*_balance_sheet, or get_stock_*_cash_flow, you MUST follow these rules. The response contains a statement array where each row has label, indent, is_section, and values fields.

Rules:

1. Preserve row order — never reorder, skip, or merge rows
2. Indent — prefix each label with indent × 2 spaces (indent=0 → no prefix, indent=1 → 2 spaces, indent=2 → 4 spaces, etc.)
3. is_section=true — render the label in bold; this row is a section header and the rows immediately below it (with indent = this.indent + 1) are its children
4. is_section=false — render the label in normal weight
5. values[i] corresponds to periods[i]; null means data not available
6. Do NOT add calculated rows (e.g. margin %) that are not present in the data

Example — given these rows:

label	indent	is_section
Total Revenue	0	true
Operating Revenue	1	false
Cost of Revenue	0	false
Operating Expense	0	true
SG&A	1	false
R&D	1	false

Correct rendered output:

Item	2025Q4	2025Q3
Total Revenue	10,270	9,246
Operating Revenue	10,270	9,246
Cost of Revenue	4,693	4,466
Operating Expense	3,825	3,510
SG&A	1,198	1,069
R&D	2,330	2,139

Reference Documentation

Detailed step-by-step workflows (T1–T23) → analysis-templates.md

API parameters, response schemas, examples (60+ APIs) → defeatbeta-api-reference.md