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Portfolio Stats: Correlation, Beta, R-Squared & Alpha
x402
Portfolio Stats: Correlation, Beta, R-Squared & Alpha is a paid API for AI agents from portfolio-stats.x402tookit.com, paid per call via x402, $0.02/call, status unknown (last checked 2026-10-30).
Computes correlation, beta, R-squared, covariance, and annualized alpha of one asset return or price series against a benchmark series.
Price / call$0.02
Success—
StatusUnknown
How this service works
Correlation, beta, R-squared and alpha of one return or price series against another you supply. Not advice.
Output
Returns a JSON object containing: correlation coefficient, beta, R-squared, alpha per period, annualized simple alpha percentage, covariance, per-period volatility for both series, number of observations, and flags for low sample size or degraded quality. Also includes a summary string, disclaimer, and educational-only notice.
Example use cases
Equity beta vs market index
“I have daily decimal returns for a tech stock and the S&P 500 over the past month — can you compute the beta, correlation, R-squared, and annualized alpha? Stock: [0.012,-0.008,0.021,-0.005,0.009] Benchmark: [0.007,-0.004,0.015,-0.003,0.006], using 252 periods per year.”
Strategy vs benchmark attribution
“I want to see how much of my quant strategy's performance is explained by the market. Here are my strategy returns and the benchmark returns as decimal series — please calculate correlation, beta, R-squared, and alpha: strategy [0.03,-0.01,0.02,0.04,-0.02], benchmark [0.015,-0.005,0.012,0.02,-0.01], 252 periods per year.”
Crypto portfolio correlation analysis
“Can you check the correlation and beta of this crypto asset against Bitcoin using these price series? Asset prices: [100,102,99,105,108], Bitcoin prices: [30000,30500,29800,31000,31500] — treat them as prices, not returns, with 365 periods per year.”
Technical details
Endpoint
GEThttps://portfolio-stats.x402tookit.com/correlation-beta?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a comprehensive set of linear regression statistics (correlation, beta, R-squared, alpha) between two return or price series in a single call. Prefer it over volatility-only or Sharpe-only endpoints when benchmark-relative analysis is the goal. Ideal for portfolio attribution, factor exposure measurement, or strategy evaluation against a market index.
Side effects
- Series length mismatch between 'a' and 'b' — returns error or null statistics
- Fewer than ~5 observations triggers lowSample flag and unreliable estimates
- Invalid JSON formatting of the series arrays causes parse errors
- Zero-variance benchmark causes division-by-zero for beta/R-squared
- Mismatched 'kind' or 'unit' parameters relative to actual data produce misleading results
- Payment failure (x402) blocks the request before computation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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