Numora Matrix SVD (Singular Value Decomposition) is a paid API for AI agents from numormor.netlify.app, paid per call via x402, $0.1/call, status unknown (last checked 2026-09-13).
Computes the Singular Value Decomposition (SVD) of a matrix, returning U, Sigma, and V^T components
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 success=true, a human-readable computation description, and a result object containing the SVD components: U (left singular vectors), Sigma (singular values), and V^T (right singular vectors transposed).
POSThttps://numormor.netlify.app/api/matrix/svdUse this endpoint when you need a pure-math, zero-dependency SVD computation on demand without setting up a local linear algebra library. Ideal for AI agents performing dimensionality reduction, PCA preprocessing, least-squares solutions, or matrix rank analysis using x402 micropayments on Base with no infrastructure overhead.
| Field | Type | Description |
|---|---|---|
| Arequired | array | Matrix (2D 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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