Numora Calculus — Jacobian Matrix Computation is a paid API for AI agents from numomo.vercel.app, paid per call via x402, $0.1/call, status unknown (last checked 2026-09-16).
Computes the Jacobian matrix of a vector-valued function at a specified point in n-dimensional space
100 pure math computation endpoints for AI agents. Statistics, financial math, linear algebra, equation solving, calculus, number theory, sequence generation, and unit conversions. Zero external dependencies. x402 micropayments on Base.
Returns a JSON object with a 'result' containing the Jacobian matrix (2D array of partial derivatives), a 'success' boolean flag, and a 'computation' string describing what was computed in human-readable form.
POSThttps://numomo.vercel.app/api/calculus/jacobianChoose this endpoint when you need exact or numerical Jacobian matrices for vector-valued functions in scientific, engineering, or optimization contexts. Ideal for robotics, nonlinear systems analysis, optimization algorithms (Newton's method, Levenberg-Marquardt), and any scenario requiring a matrix of first-order partial derivatives. Prefer this over symbolic math libraries when you need a lightweight, dependency-free API call without setting up a local CAS environment.
| Field | Type | Description |
|---|---|---|
| fnsrequired | array | |
| pointrequired | array |
| Field | Type | Description |
|---|---|---|
| resultrequired | object | Computation result varies by endpoint |
| successrequired | boolean | Always true on success |
| computationrequired | string | Human-readable description of what was computed |
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