analyst-estimates
Retrieve analyst financial estimates including Revenue and EPS projections with low/high ranges and analyst coverage. Use when…
Retrieve market capitalization data for multiple companies at once using Octagon MCP. Use when comparing valuations across peers, screening by market cap, or analyzing a portfolio's composition by company size.
$ npx -y skills add octagonai/skills --skill batch-market-cap --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/batch-market-capContext preview
The summary Claude sees to decide when to auto-load this skill.
Retrieve market capitalization data for multiple companies at once using Octagon MCP. Use when comparing valuations across peers, screening by market cap, or analyzing a portfolio's composition by company size.
name: batch-market-cap description: Retrieve market capitalization data for multiple companies at once using Octagon MCP. Use when comparing valuations across peers, screening by market cap, or analyzing a portfolio's composition by company size.
Retrieve market capitalization data for multiple companies in a single query using the Octagon MCP server.
Ensure Octagon MCP is configured in your AI agent (Cursor, Claude Desktop, Windsurf, etc.). See [references/mcp-setup.md](references/mcp-setup.md) for installation instructions.
Compile the list of ticker symbols you want to analyze (e.g., AAPL, MSFT, GOOGL).
Use the `octagon-agent` tool with a natural language prompt:
Retrieve market capitalization data for the following companies: <TICKER1>, <TICKER2>, <TICKER3>.
**MCP Call Format:**
{
"server": "octagon-mcp",
"toolName": "octagon-agent",
"arguments": {
"prompt": "Retrieve market capitalization data for the following companies: AAPL, MSFT, GOOG."
}
}The agent returns a structured table with market cap data:
| Company | Ticker | Market Cap (USD) | Source | |---------|--------|------------------|--------| | Apple | AAPL | $2.99986 trillion | Octagon Companies Agent | | Microsoft | MSFT | $3.143 trillion | Companies Market Cap | | Alphabet | GOOGL | $2.00018 trillion | Octagon Companies Agent |
**Data Sources**: octagon-companies-agent, octagon-financials-agent, octagon-web-search-agent
See [references/interpreting-results.md](references/interpreting-results.md) for guidance on:
**Basic Batch Query:**
Retrieve market capitalization data for the following companies: AAPL, MSFT, GOOG.
**Sector Comparison:**
Get market caps for tech giants: AAPL, MSFT, GOOGL, AMZN, META, NVDA.
**Portfolio Analysis:**
What are the market capitalizations of TSLA, F, GM, and RIVN?
**Industry Comparison:**
Compare market caps of major banks: JPM, BAC, WFC, C, GS.
**Index Components:**
Get market caps for the top 10 S&P 500 companies by weight.
**International Comparison:**
Compare market caps of AAPL, SMSN.IL (Samsung), TSM, and ASML.
| Category | Market Cap Range | |----------|------------------| | Mega-cap | >$200 billion | | Large-cap | $10B - $200B | | Mid-cap | $2B - $10B | | Small-cap | $300M - $2B | | Micro-cap | $50M - $300M | | Nano-cap | <$50M |
| Category | Typical Traits | |----------|----------------| | Mega-cap | Market leaders, global reach, stable | | Large-cap | Established, diversified, moderate growth | | Mid-cap | Growth potential, less coverage | | Small-cap | Higher growth, higher volatility | | Micro-cap | Speculative, limited liquidity |
| Analysis | Purpose | |----------|---------| | Absolute Size | Rank by market cap | | Relative Size | Ratio to peers | | Size Distribution | Concentration analysis | | Historical Rank | Position changes |
| Comparison | What It Shows | |------------|---------------| | vs. Industry Leader | Distance from top | | vs. Industry Median | Above/below average | | vs. Sector Total | Market share proxy |
| Scenario | Interpretation | |----------|----------------| | Higher market cap, lower revenue | Premium valuation | | Lower market cap, higher revenue | Discount valuation | | Similar market cap, different earnings | P/E differential |
| Use | Description | |-----|-------------| | Concentration Analysis | Largest holdings by cap | | Diversification Check | Size mix across holdings | | Rebalancing | Adjust for cap changes |
| Use | Description | |-----|-------------| | Market Leadership | Largest in industry | | Relative Positioning | Size vs. competitors | | Growth Comparison | Cap changes over time |
| Use | Description | |-----|-------------| | Size Filter | Include/exclude by cap | | Category Selection | Target specific sizes | | Index Eligibility | Meets cap requirements |
Market Cap = Share Price × Shares Outstanding
| Factor | Impact | |--------|--------| | Price Change | Direct proportional effect | | Share Buybacks | Reduces shares, concentrates value | | New Issuance | Dilutes if price doesn't rise | | Stock Splits | No effect (price adjusts) |
| Component | Description | |-----------|-------------| | Basic Shares | Currently outstanding | | Options | Employee stock options | | Warrants | Convertible instruments | | Convertibles | Convertible debt/preferred |
| Factor | Consideration | |--------|---------------| | Timing | Real-time vs. delayed data | | Currency | USD conversion rates | | Share Count | Basic vs. diluted | | Updates | Frequency of refresh |
| Issue | Approach | |-------|----------| | Different sources | Note the variance | | Different dates | Use consistent timing | | Currency mix | Convert to single currency | | Missing data | Flag unavailable items |
1. **Use consistent data**: Same source/date for fair comparison.
2. **Consider context**: Industry norms for market cap.
3. **Track changes**: Market cap shifts over time.
4. **Combine with fundamentals**: P/E, P/S for valuation context.
5. **Watch for outliers**: Investigate unusual sizes.
6. **Global perspective**: Different markets, different scales.
A collection of AI agent skills for financial data analysis powered by the Octagon MCP.
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