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HubVibe Finance Analytics
x402
HubVibe Finance Analytics is a paid API for AI agents from hubvibe-io.com, paid per call via x402, $0.5/call, status unknown (last checked 2026-10-02).
Computes deterministic financial metrics — returns, volatility, Sharpe/Sortino, drawdown, VaR/CVaR, beta, alpha, technical indicators, Black-Scholes Greeks, and Kelly fraction — from a price series or live ticker symbol.
Price / call$0.5
Success—
StatusUnknown
How this service works
Trading and portfolio math: returns and CAGR, volatility, Sharpe and Sortino, max drawdown, VaR/CVaR, beta, alpha and correlation vs a benchmark, SMA/EMA, RSI, Bollinger bands, Black-Scholes option price with Greeks, and the Kelly fraction, over prices you send or a ticker fetched live. Deterministic, every formula named, no LLM. Input: prices or symbol; optional metrics, benchmark, option, kelly.
Output
A JSON object containing exactly the requested metrics, each labeled with the formula used — e.g. annualized CAGR, Sharpe ratio, Sortino ratio, max drawdown percentage, historical and parametric VaR/CVaR at the specified alpha, beta/alpha/correlation vs benchmark, SMA/EMA arrays, RSI values, Bollinger band upper/middle/lower arrays, Black-Scholes price with delta/gamma/vega/theta/rho, and/or Kelly fraction. Results are deterministic: identical inputs always produce identical outputs.
Example use cases
Portfolio risk report for a stock
“For TSLA over the past year, give me the CAGR, annualized volatility, Sharpe ratio, Sortino ratio, max drawdown, and 95% VaR and CVaR — I want a full risk snapshot.”
Options pricing and Greeks on a call
“Price a call option on a stock currently at $150 with a strike of $160, 0.25 years to expiry, implied volatility of 30%, risk-free rate 5%, and no dividends — give me the Black-Scholes price plus all the Greeks.”
Beta and alpha vs benchmark
“Calculate beta, alpha, and correlation for my price series [120, 123, 119, 125, 130] against the benchmark series [400, 405, 398, 410, 415] — I want to see how it tracks the market.”
Technical details
Endpoint
POSThttps://hubvibe-io.com/work/finance/analytics?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need mathematically exact, reproducible financial computations — not LLM-estimated approximations. It is ideal when you need multiple metrics in a single call (technical indicators, risk metrics, and option pricing together), when you supply your own price data or a ticker symbol, and when auditability (formula names in output, deterministic results) matters. Prefer this over general-purpose LLM reasoning for any quantitative finance task.
Side effects
- Fewer than 2 prices provided — returns validation error
- Symbol not found or live fetch fails — returns ticker error
- Option parameters missing required fields (type, strike, time_to_expiry_years) — returns schema validation error
- Window size larger than price series length — returns insufficient data error
- Alpha outside (0, 0.5] range — returns parameter validation error
- win_probability or win_loss_ratio out of range for Kelly — returns validation error
- Requested metric not in allowed enum list — returns schema error
- Price array contains non-positive values — returns validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| alpha | number | |
| kelly | object | |
| range | string | |
| option | object | |
| prices | array | |
| symbol | string | |
| metrics | array | |
| windows | object | |
| language | string | |
| risk_free_rate | number | |
| benchmark_prices | array | |
| benchmark_symbol | string | |
| periods_per_year | integer |
Output
Schema · Response
{
"type": "json"
}Tags
x402
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