QuantLib API Overview
FinceptQuantLib provides 497 endpoints across 18 specialized modules organized into 4 subscription tiers. This overview helps you understand module capabilities, tier requirements, and credit costs.Tier Structure
All QuantLib endpoints require authentication and tier-appropriate access. Credits are consumed based on module tier:| Tier | Credits/Call | Modules | Endpoints | Description |
|---|---|---|---|---|
| Free | 0 | 2 | 65 | Core utilities and scheduling - always free |
| Basic | 1 | 4 | 130 | Statistics, numerical methods, solvers |
| Standard | 2 | 6 | 178 | Pricing, curves, instruments, analysis |
| Pro | 5 | 6 | 124 | Advanced models, ML, risk, regulatory |
Free tier access is included with every account - no subscription needed!
Quick Navigation
Free Tier (0 credits)
Core Module (51 endpoints)
Foundation of FinceptQuantLib with essential financial types and utilities. Key Capabilities:- Financial Types: Rate, Money, Currency, Tenor, Period
- Date Operations: Business day checks, date arithmetic, tenor calculations
- Day Count Conventions: ACT/360, ACT/365, 30/360, and more
- Business Calendars: 50+ country calendars (US, UK, EU, India, Japan, etc.)
- Pure Functions: Black-Scholes pricing, VaR, interpolation, GBM simulation
- Math Utilities: Compound interest, discount factors, cashflow analysis
- Automatic Differentiation: Forward/reverse mode AD for Greeks
Scheduling Module (14 endpoints)
Generate payment schedules and manage cash flow calendars. Key Capabilities:- Schedule Generation: Fixed, floating, custom frequencies
- Business Day Adjustment: Following, modified following, preceding
- Period Management: Coupon periods, payment dates
- Calendar Operations: Holiday handling, end-of-month rules
Basic Tier (1 credit)
Statistics Module (52 endpoints)
Comprehensive statistical distributions and time series analysis. Key Capabilities:- Continuous Distributions (PDF/CDF/PPF): Normal, Lognormal, Student-t, Chi-squared, F, Gamma, Beta, Exponential
- Discrete Distributions: Binomial, Poisson, Negative Binomial, Hypergeometric, Geometric
- Time Series Models: AR, MA, ARMA, ARIMA, GARCH, EGARCH, GJR-GARCH
- Statistical Tests: Normality, stationarity, autocorrelation
- Descriptive Stats: Mean, variance, skewness, kurtosis, quantiles
Numerical Module (28 endpoints)
Advanced numerical methods for financial computations. Key Capabilities:- Differentiation: Forward, backward, central differences, Richardson extrapolation
- Integration: Gaussian quadrature, Simpson’s rule, Monte Carlo integration
- Interpolation: Linear, cubic spline, monotone convex, Hermite
- Linear Algebra: LU, QR, SVD, Cholesky decomposition, eigenvalues
- ODE Solvers: Euler, Runge-Kutta, adaptive methods
- Optimization: Newton, gradient descent, BFGS, conjugate gradient
- FFT: Fast Fourier Transform for option pricing
Solver Module (25 endpoints)
Specialized solvers for common financial problems. Key Capabilities:- Bond Analytics: Yield to maturity, duration, convexity, DV01
- Volatility Solvers: Implied volatility from option prices
- Spread Calculations: Z-spread, asset swap spread, OAS
- Curve Bootstrapping: Build yield curves from market instruments
- Model Calibration: Vasicek, CIR parameter fitting
- IRR Calculations: Internal rate of return, XIRR for irregular cash flows
Economics Module (25 endpoints)
Economic models and game theory applications. Key Capabilities:- Production Functions: Cobb-Douglas, CES with optimal factor allocation
- General Equilibrium: Walrasian equilibrium solver
- Game Theory: Nash equilibrium, fictitious play, evolutionary games
- Auction Theory: First-price, second-price, all-pay auctions
- Utility Theory: CARA, CRRA, Prospect Theory with loss aversion
- Welfare Economics: Social welfare, deadweight loss
Standard Tier (2 credits)
Analysis Module (45 endpoints)
Comprehensive equity and credit analysis tools. Key Capabilities:- Fundamental Analysis: Profitability, liquidity, leverage, efficiency ratios
- Industry Analysis: Banking, insurance, REITs, utilities-specific metrics
- Valuation Models: DCF (FCFF, FCFE), Gordon growth, DDM, comparable
- Credit Models: Merton, Altman Z-Score, Piotroski F-Score, Ohlson O-Score
- Factor Models: Fama-French 3/5 factor, Carhart 4-factor
- Pro Forma: Forecasting, scenario analysis
- Stock Screening: Multi-criteria filtering
- Startup Valuation: VC method, scorecard, Berkus
Curves Module (28 endpoints)
Yield curve construction and manipulation. Key Capabilities:- Curve Types: Zero, discount, forward, par, inflation
- Interpolation: Linear, log-linear, cubic spline, monotone convex, Hermite, flat forward
- Curve Operations: Parallel shift, twist, butterfly, roll down
- Parametric Models: Nelson-Siegel, Svensson (NSS)
- Multi-Curve Framework: OIS discounting, tenor-specific curves
- Curve Analytics: Forward rates, discount factors, par rates
Pricing Module (29 endpoints)
Options and derivatives pricing with multiple models. Key Capabilities:- Black-Scholes: European/American options, all Greeks, digital options
- Black76: Caplets, floorlets, swaptions (futures-style)
- Bachelier: Normal volatility model, shifted lognormal
- Binomial Trees: CRR, JR, Tian, LR methods for American options
- Exotic Options: Barrier, Asian, lookback, spread options
- Kirk Model: Spread option pricing
- Greeks Calculation: Full Greeks suite including higher-order
Instruments Module (26 endpoints)
Fixed income and derivative instruments. Key Capabilities:- Bonds: Fixed coupon, floating rate, inflation-linked, zero coupon
- Interest Rate Swaps: PV, par rate, DV01, cash flows
- FRA: Forward rate agreements
- Money Market: Deposits, T-bills, repos, commercial paper
- OIS: Overnight index swaps
- Equity Derivatives: Equity swaps, variance swaps, volatility swaps
- FX Derivatives: FX forwards, Garman-Kohlhagen model
- Credit Derivatives: CDS pricing and spread calculations
- Futures: STIR futures, bond futures
Stochastic Module (36 endpoints)
Stochastic processes and Monte Carlo simulation. Key Capabilities:- Diffusion Processes: GBM, Ornstein-Uhlenbeck, CIR, Vasicek, Heston
- Jump Processes: Merton, Kou, Variance Gamma jump-diffusion
- Simulation Methods: Euler-Maruyama, Milstein, exact simulation
- Advanced Techniques: Multilevel Monte Carlo, Sobol sequences
- Brownian Motion: Standard, geometric, arithmetic, bridge
- Ito Calculus: Ito’s lemma, product rule, quotient rule
- Girsanov Theorem: Risk-neutral pricing, measure changes
- Martingale Tests: Statistical tests for martingale property
Volatility Module (14 endpoints)
Volatility surface modeling and smile dynamics. Key Capabilities:- Surface Types: Flat, term structure, strike grid
- SABR Model: Implied volatility, calibration, smile, density, dynamics
- Local Volatility: Dupire local vol, implied-to-local conversion
- Volatility Smile: Strike interpolation, calendar spread
- ATM Volatility: At-the-money vol calculation
Pro Tier (5 credits)
Models Module (14 endpoints)
Advanced pricing models for complex derivatives. Key Capabilities:- Short Rate Models: Vasicek, CIR, Hull-White, Black-Karasinski
- Stochastic Volatility: Heston (analytical + MC), SABR dynamics
- Jump Diffusion: Merton, Kou, Variance Gamma models
- Local Volatility: Dupire model, implied volatility surface
- Model Calibration: Fit models to market data (SVI, SABR)
- Simulation: Exact and discretized path generation
Portfolio Module (15 endpoints)
Portfolio optimization and risk parity strategies. Key Capabilities:- Mean-Variance Optimization: Minimum variance, maximum Sharpe, target return
- Efficient Frontier: Trace complete frontier, identify tangency portfolio
- Black-Litterman: Bayesian approach combining views with equilibrium
- Risk Parity: Equal risk contribution (ERC), hierarchical risk parity (HRP)
- Risk Metrics: Tracking error, information ratio, Sortino ratio, max drawdown
- Advanced Techniques: Inverse volatility weighting, minimum CVaR
- Performance Attribution: Factor decomposition, incremental VaR
Risk Module (25 endpoints)
Comprehensive risk measurement and management tools. Key Capabilities:- Value at Risk: Parametric, historical, Monte Carlo methods
- Component VaR: Individual asset contributions to portfolio VaR
- Stress Testing: Historical scenarios, custom shocks
- Copulas: Gaussian, Student-t, Clayton, Frank, Gumbel, Joe
- Extreme Value Theory: GPD, GEV, Hill estimator for tail risk
- XVA Calculations: CVA (credit valuation adjustment), PFE (potential future exposure)
- Sensitivities: Full Greeks, bucket delta, cross-gamma, key rate duration
- Hedging: Optimal hedge ratios, exposure profiles
- Backtesting: VaR model validation, traffic light tests
Regulatory Module (11 endpoints)
Basel III, IFRS 9, and liquidity compliance calculations. Key Capabilities:- Basel III Capital: Credit RWA, operational RWA, capital ratios
- SA-CCR: Exposure at default (EAD), replacement cost (RC), potential future exposure (PFE)
- IFRS 9: Expected credit loss (ECL), staging, significant increase in credit risk (SICR)
- Liquidity Ratios: LCR (liquidity coverage ratio), NSFR (net stable funding ratio)
- Stress Testing: Capital projections, adverse scenarios
ML Module (35 endpoints)
Machine learning for credit risk, regression, and anomaly detection. Key Capabilities:- Credit Scoring: Logistic regression, WoE binning, scorecard development
- Model Validation: Discrimination (Gini, KS), calibration (Hosmer-Lemeshow), PSI
- Regression Models: OLS, Lasso, ElasticNet, decision trees, gradient boosting, random forest
- Credit Parameters: PD, LGD, EAD modeling
- Clustering: K-Means, DBSCAN, hierarchical, PCA dimension reduction
- Anomaly Detection: Isolation forest, outlier detection
- Feature Engineering: Technical indicators, rolling statistics, calendar features
- Preprocessing: Scalers, outlier treatment, winsorization
Physics Module (24 endpoints)
Physics-inspired models and information theory for finance. Key Capabilities:- Information Theory: Shannon/Renyi/Tsallis entropy, KL/JS divergence
- Mutual Information: Dependency measures, transfer entropy
- Statistical Mechanics: Boltzmann distribution, Ising model, phase transitions
- Thermodynamics: Free energy, Carnot efficiency, van der Waals equation
- Maximum Entropy: Constrained optimization for probability distributions
- Fisher Information: Parameter estimation, Cramér-Rao bounds
Module Comparison
By Complexity
| Beginner | Intermediate | Advanced | Expert |
|---|---|---|---|
| Core | Pricing | Models | Regulatory |
| Scheduling | Curves | Portfolio | ML |
| Statistics | Instruments | Risk | Physics |
| Numerical | Analysis | ||
| Solver | Stochastic | ||
| Economics | Volatility |
By Use Case
Options Trading:- Core (dates, calendars)
- Pricing (Black-Scholes, binomial)
- Volatility (SABR, surfaces)
- Models (Heston)
- Risk (Greeks, hedging)
- Core (day counts)
- Curves (yield curves)
- Instruments (bonds, swaps)
- Pricing (swaptions)
- Risk (duration, convexity)
- Statistics (distributions)
- Risk (VaR, stress testing)
- Portfolio (optimization)
- Regulatory (Basel III)
- Numerical (optimization)
- Stochastic (simulation)
- ML (backtesting)
- Physics (information theory)
Authentication & Access
API Key Required
All QuantLib endpoints require authentication:Tier Access Control
Attempting to access higher-tier endpoints without appropriate subscription:Insufficient Credits
When your credit balance is too low:Response Format
All endpoints follow consistent response structure: Success Response:Rate Limits
Prevent abuse while ensuring smooth operation:| Account Type | Requests/Hour |
|---|---|
| Free | 500 |
| Basic | 1,000 |
| Standard | 2,000 |
| Pro | 5,000 |
| Enterprise | Custom |
Next Steps
Get Started
Register and get 350 free credits
Pricing Details
View subscription plans and credit costs
Authentication
Learn about API key management
API Reference
Browse complete endpoint documentation
Need Help?
- 📧 Email: [email protected]
- 📚 Documentation: Comprehensive guides for each module
- 💬 Community: Join our Discord for discussions
- 🏢 Enterprise: Contact sales for custom solutions
