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Numora Matrix SVD (Singular Value Decomposition)
x402
Numora Matrix SVD (Singular Value Decomposition) is a paid API for AI agents from numormo.vercel.app, paid per call via x402, $0.1/call, status unknown (last checked 2026-09-14).
Computes the Singular Value Decomposition (SVD) of a matrix, returning U, Σ, and V matrices
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 human-readable computation description, and a result object containing the U matrix (left singular vectors), an array of singular values (sigma/Σ), and the V or V-transpose matrix (right singular vectors), enabling reconstruction or analysis of the original matrix.
Example use cases
Image compression via SVD
“Compute the SVD of this pixel intensity matrix [[52, 55, 61], [62, 59, 55], [63, 59, 55]] so I can identify the most important singular values for compression.”
Checking matrix rank for linear system
“I need to find the rank of this matrix before solving a system of equations — can you run SVD on [[1, 2], [2, 4], [3, 6]] and tell me the singular values?”
Principal component analysis prep
“Decompose this covariance matrix [[2.0, 0.8], [0.8, 0.5]] using singular value decomposition so I can extract the principal components.”
Technical details
Endpoint
POSThttps://numormo.vercel.app/api/matrix/svdWhen to prefer
Choose this endpoint when you need a pure math, dependency-free SVD computation accessible via a simple API call with micropayment billing. Ideal for AI agents needing on-demand matrix factorization without spinning up a numerical computing environment (e.g. NumPy/SciPy). Prefer this over local computation when your agent runtime lacks math libraries, or when you want a consistent, auditable computation with per-call pricing at $0.10 USDC.
Side effects
- Non-numeric matrix values cause a 400 or computation error
- Non-rectangular matrix (jagged array) causes validation failure
- Empty matrix or missing 'A' field returns error
- Extremely large matrices may time out or exceed payload limits
- Singular or near-singular matrices may return near-zero singular values with floating-point imprecision
- Payment failure via x402 returns 402 status 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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