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Numora Matrix SVD Endpoint
x402
Numora Matrix SVD Endpoint is a paid API for AI agents from numomo.vercel.app, paid per call via x402, $0.1/call, status unknown (last checked 2026-09-14).
Computes Singular Value Decomposition (SVD) of a matrix, returning U, Sigma, and V components
Price / call$0.1
Success—
StatusUnknown
How this service works
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.
Output
Returns a JSON object with success=true, a computation string describing what was performed, and a result object containing the SVD components: the U matrix (left singular vectors), an array of singular values (Sigma), and the V (or V-transpose) matrix (right singular vectors).
Example use cases
Principal component analysis preprocessing
“I need to do SVD on this data matrix to prepare for PCA — can you decompose [[2,1,0],[1,3,1],[0,1,2]] and give me the singular values and vectors?”
Check matrix rank via singular values
“What's the numerical rank of the matrix [[1,2,4],[2,4,8],[3,6,12]]? Decompose it with SVD and I'll check how many singular values are non-zero.”
Image compression simulation
“Decompose this 4x4 pixel intensity matrix [[10,20,30,40],[50,60,70,80],[90,100,110,120],[130,140,150,160]] using SVD so I can identify the dominant components for compression.”
Technical details
Endpoint
POSThttps://numomo.vercel.app/api/matrix/svdWhen to prefer
Choose this endpoint when you need a lightweight, zero-dependency SVD computation for matrices in a pure math context — ideal for AI agents performing linear algebra tasks like dimensionality reduction, pseudoinverse computation, least-squares solving, or rank determination. Prefer this over general-purpose compute services when you want fast, deterministic mathematical results billed per-call with no subscription or setup overhead.
Side effects
- Non-rectangular or malformed matrix input returns an error
- Singular or near-singular matrices may produce numerical instability warnings
- Missing required field 'A' results in a 400-level validation error
- Empty matrix or matrix with inconsistent row lengths may cause computation failure
- Payment failure via x402 micropayment returns 402 Payment Required before computation begins
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| Arequired | array | Matrix (2D array) |
Output
Schema · Response
| 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 |
Tags
x402
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