XRPL Data Desk – Risk Math is a paid API for AI agents from data.azeronyx.com, paid per call via x402, $0.001/call, status unknown (last checked 2026-10-31).
Computes quantitative risk metrics (VaR, Sharpe, position sizing, etc.) from a price or returns series, with optional stop/entry/equity inputs for trade-level risk management.
Live XRP Ledger market data for AI agents, paid per call in XRP. Settled on the XRP Ledger itself; every endpoint independently audited. Information, not advice.
Returns a JSON object containing computed risk metrics such as Value-at-Risk (VaR), Sharpe ratio, annualized volatility, maximum drawdown, recommended position size (units to trade), and dollar risk — derived from the supplied price or return series and optional position-sizing parameters.
POSThttps://data.azeronyx.com/v1/risk-math?utm_source=zero.xyzChoose this endpoint when you need server-side quantitative risk computation — especially position sizing from entry/stop/equity — without running local math. It is well-suited for AI agents that need audited, structured risk metrics on XRP or other crypto price/return series, paid per-call on the XRP Ledger. Prefer it over generic statistics libraries when you want a single audited API call that bundles VaR, Sharpe, volatility, drawdown, and position sizing together.
| Field | Type | Description |
|---|---|---|
| stop | string | stop price, for position sizing |
| entry | string | entry price, for position sizing |
| equity | string | account size, for position sizing |
| prices | string | comma-separated prices (instead of returns) |
| returns | string | comma-separated returns (0.01 = +1%); or prices instead |
| risk_pct | string | percent of equity risked at the stop (default 1) |
| risk_free | string | annual risk-free rate (default 0) |
| confidence | string | for value-at-risk (default 0.95) |
| periods_per_year | string | periods in a year (default 365; 8760 hourly) |
{
"type": "object",
"description": "See https://data.azeronyx.com/v1/sample?path=/v1/risk-math for a recent example",
"additionalProperties": true
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