Calculate the numerical derivative of a built-in function at a given point using finite difference methods. Supports forward, backward, and central difference schemes. Central differences provide the most accurate approximation for smooth functions. Use this for estimating derivatives when analytical formulas are unavailable, computing sensitivities, or approximating Greeks in option pricing.
API key for authentication. Get your key at https://finceptbackend.share.zrok.io/auth/register
Built-in function name to differentiate
exp, log, sin, cos, sqrt, tan, x2, x3 "sin"
Point at which to evaluate the derivative
1.5708
Step size for finite difference (smaller = more accurate but less stable)
1e-7
Finite difference method: central (most accurate), forward, or backward
central, forward, backward "central"