Saylor Innovations Portfolio Risk Metrics is a paid API for AI agents from saylorinnovations.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-28).
Computes annualised return, volatility, Sharpe, Sortino, Calmar, max drawdown, VaR, expected shortfall, and skewness from a price or return series
Risk metrics from a price or return series - annualised return and volatility, Sharpe, Sortino, Calmar, max drawdown, 95 percent VaR, expected shortfall and skew
Returns a JSON object containing: number of observations, total return percent, annualised return and volatility, Sharpe ratio, Sortino ratio, Calmar ratio, max drawdown (percent and peak/trough indices), 95% Value at Risk, expected shortfall, skewness, excess kurtosis, best and worst single period returns, periods per year used, input type, data source, and an optional explanatory note.
GEThttps://saylorinnovations.com/api/finance/portfolio-risk?utm_source=zero.xyzChoose this endpoint when you need a comprehensive suite of standard portfolio risk metrics computed from a raw price or return series in one call, without needing to build your own analytics pipeline. It is ideal for rapid risk profiling of any asset class (equities, crypto, funds) at daily, weekly, or monthly granularity. Prefer it over general-purpose code execution tools when you want reliable, pre-validated financial statistics without writing custom Python or R.
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
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