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Xynaptic Security Risk
x402
Xynaptic Security Risk is a paid API for AI agents from api.xynaptic.io, paid per call via x402, $0.02/call, status unknown (last checked 2026-10-02).
Returns a quantitative risk profile for any stock ticker based on price history, including annualized volatility, max drawdown, worst day, parametric VaR 95, Sharpe proxy, and beta vs SPY.
Price / call$0.02
Success—
StatusUnknown
How this service works
Xynaptic Security Risk — risk profile from price history: annualized volatility, max drawdown, worst day, VaR 95 (parametric), Sharpe proxy, beta vs SPY (when available). GET ?ticker=AAPL&days=180. Output: risk_level (low/medium/high/extreme) + each metric with its window.
Output
Returns a structured JSON object with a top-level risk_level label (low/medium/high/extreme) plus individual metrics each tagged with their calculation window: annualized volatility, max drawdown, worst single-day return, parametric VaR at 95% confidence, a Sharpe proxy, and beta relative to SPY (when sufficient data is available).
Example use cases
Pre-trade risk check on a stock
“Before I buy into TSLA, can you pull its risk profile for the last 90 days — I want to see the annualized volatility, worst day, and whether it's flagged as high or extreme risk?”
Portfolio review: beta and downside metrics
“I'm reviewing my portfolio — can you get the beta vs SPY, max drawdown, and VaR 95 for MSFT over the past 180 days so I can see how much market risk I'm carrying?”
Screening stocks by risk level
“I'm looking for lower-risk options — can you check the risk classification and Sharpe proxy for JNJ over the last 365 days and tell me if it comes out as low or medium risk?”
Technical details
Endpoint
GEThttps://api.xynaptic.io/v1/security-risk?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a comprehensive, multi-metric quantitative risk profile for a single equity ticker derived from historical price data — especially when you want a pre-computed risk classification (low/medium/high/extreme) alongside standard risk metrics like VaR, drawdown, and Sharpe proxy in one call, without needing to query raw price data and compute these yourself.
Side effects
- Unknown or invalid ticker returns an error or empty metrics
- Insufficient price history for the requested days window may cause missing or null metrics
- Beta vs SPY may be unavailable if correlation data is insufficient
- Rate limit or payment failure returns a 402 or 429 error
- Very short day windows may produce unstable or unreliable risk estimates
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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