ceorater
Get institutional-grade CEO performance analytics for S&P 500 companies. Proprietary scores: CEORaterScore (composite), AlphaScore (market outperformance), RevenueCAGRScore (revenue growth), CompScore (compensation efficiency). Underlying data includes Total Stock Return (TSR) vs. S&P 500 (SPY), average annual returns, CEO total compensation (most recent fiscal year from proxy filings), and tenure-adjusted Revenue CAGR. Each record includes CEO name, company name, ticker, sector, industry, and tenure dates. Coverage: 516 CEOs as of February 2026, updated daily. Useful for investment research, due diligence, and executive compensation analysis.
Best use case
ceorater is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Get institutional-grade CEO performance analytics for S&P 500 companies. Proprietary scores: CEORaterScore (composite), AlphaScore (market outperformance), RevenueCAGRScore (revenue growth), CompScore (compensation efficiency). Underlying data includes Total Stock Return (TSR) vs. S&P 500 (SPY), average annual returns, CEO total compensation (most recent fiscal year from proxy filings), and tenure-adjusted Revenue CAGR. Each record includes CEO name, company name, ticker, sector, industry, and tenure dates. Coverage: 516 CEOs as of February 2026, updated daily. Useful for investment research, due diligence, and executive compensation analysis.
Teams using ceorater should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/ceorater/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How ceorater Compares
| Feature / Agent | ceorater | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Get institutional-grade CEO performance analytics for S&P 500 companies. Proprietary scores: CEORaterScore (composite), AlphaScore (market outperformance), RevenueCAGRScore (revenue growth), CompScore (compensation efficiency). Underlying data includes Total Stock Return (TSR) vs. S&P 500 (SPY), average annual returns, CEO total compensation (most recent fiscal year from proxy filings), and tenure-adjusted Revenue CAGR. Each record includes CEO name, company name, ticker, sector, industry, and tenure dates. Coverage: 516 CEOs as of February 2026, updated daily. Useful for investment research, due diligence, and executive compensation analysis.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# CEORater Skill
Query CEO performance data for S&P 500 and major U.S. public companies via the CEORater API.
## Prerequisites
1. Get an API key at https://www.ceorater.com/api-docs.html ($99/month per user)
2. Set the environment variable: `CEORATER_API_KEY=zpka_your_key_here`
**Licensing Note:** Self-serve API access permits individual research and analysis. Integrating CEORater data into proprietary firm models, AI/ML training, or building products requires an Enterprise Agreement — contact sales@ceorater.com.
## Available Metrics
| Metric | Range | Description |
|--------|-------|-------------|
| CEORaterScore | 0-100 | Composite CEO effectiveness rating |
| AlphaScore | 0-100 | Performance vs. market benchmark |
| RevenueCAGRScore | 0-100 | Tenure-adjusted revenue growth percentile |
| CompScore | A-F | Compensation efficiency grade |
| TSR During Tenure | % | Total Stock Return during CEO tenure |
| TSR vs. S&P 500 | % | Performance relative to S&P 500 (SPY) |
| CEO Compensation | $M | Total compensation from most recent proxy filing |
| Revenue CAGR | % | Tenure-adjusted compound annual revenue growth |
## API Endpoints
### Get Company by Ticker
```bash
curl -H "Authorization: Bearer $CEORATER_API_KEY" \
"https://api.ceorater.com/v1/company/AAPL?format=raw"
```
### Search Companies
```bash
curl -H "Authorization: Bearer $CEORATER_API_KEY" \
"https://api.ceorater.com/v1/search?q=technology&format=raw"
```
### List All Companies
```bash
curl -H "Authorization: Bearer $CEORATER_API_KEY" \
"https://api.ceorater.com/v1/companies?limit=100&format=raw"
```
### Health Check (no auth required)
```bash
curl "https://api.ceorater.com/status"
```
## Usage Instructions
When the user asks about CEO performance, ratings, or executive compensation:
1. **Single company lookup:** Use the `/v1/company/{ticker}` endpoint
2. **Sector/industry analysis:** Use `/v1/search?q={query}`
3. **Bulk data:** Use `/v1/companies?limit=N`
Always use `format=raw` for numeric values suitable for calculations.
### Example Queries
- "What's the CEORaterScore for Apple?" → GET /v1/company/AAPL
- "Show me technology sector CEOs" → GET /v1/search?q=technology
- "Who are the top-rated CEOs?" → GET /v1/companies, sort by ceoraterScore
- "Compare Tim Cook vs Satya Nadella" → GET /v1/company/AAPL and /v1/company/MSFT
## Response Format (raw)
```json
{
"companyName": "Apple Inc.",
"ticker": "AAPL",
"sector": "Technology",
"industry": "Computer Manufacturing",
"ceo": "Tim Cook",
"founderCEO": false,
"ceoraterScore": 87,
"alphaScore": 93.5,
"revenueCagrScore": 75.2,
"revenueCagr": 0.042,
"compScore": "C",
"tsrMultiple": 22.23,
"tenureYears": 14.4,
"avgAnnualTsrRatio": 1.55,
"compPer1PctTsrMM": 0.482,
"tsrVsSpyRatio": 15.64,
"avgAnnualVsSpyRatio": 1.09,
"compensationMM": 74.6
}
```
## Error Handling
| Code | Meaning |
|------|---------|
| 401 | Missing or invalid API key |
| 404 | Ticker not found |
| 400 | Bad request parameters |
## Helper Script
For convenience, use `{baseDir}/scripts/ceorater.sh`:
```bash
# Get single company
{baseDir}/scripts/ceorater.sh get AAPL
# Search
{baseDir}/scripts/ceorater.sh search "healthcare"
# List top N
{baseDir}/scripts/ceorater.sh list 20
```
## Data Coverage
- 516 CEOs as of February 2026, including all S&P 500 constituents
- Updated daily after U.S. market close (typically by 6:30 PM EST)
- Safe to cache responses for up to 24 hours
## More Information
- Documentation: https://www.ceorater.com/api-docs.html
- Agent manifest: https://www.ceorater.com/.well-known/agent.json
- Support: support@ceorater.com
- Enterprise sales: sales@ceorater.comRelated Skills
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