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Numora Matrix Condition Number
x402
Numora Matrix Condition Number 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 condition number of a matrix, measuring how sensitive the matrix is to numerical errors in linear systems.
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 a 'success' boolean, a 'result' object containing the computed condition number (a scalar value indicating the ratio of largest to smallest singular values), and a 'computation' string describing what was computed in human-readable form.
Example use cases
Pre-solve numerical stability check
“Before I solve Ax = b, can you compute the condition number of A = [[10, 7, 8], [7, 5, 6], [8, 6, 10]]? I need to know if the system will be well-conditioned.”
Ill-conditioning diagnosis in ML
“My gradient descent isn't converging well. Can you check the condition number of my feature matrix [[1, 1000], [1, 1001], [1, 1002]] to see if poor conditioning might be causing the instability?”
Matrix quality check for least squares
“I'm fitting a regression and the results look weird. Can you compute the condition number of [[2, 1], [1, 3], [3, 2]] so I can tell if the matrix is too ill-conditioned for reliable least squares?”
Technical details
Endpoint
POSThttps://numormo.vercel.app/api/matrix/condition-numberWhen to prefer
Use this endpoint when you need a fast, dependency-free pure math computation of a matrix condition number without setting up a local numerical library. Ideal for AI agents performing pre-solve diagnostics on linear systems, checking numerical stability before matrix inversion, or validating data matrices in scientific computing pipelines. Prefer this over symbolic math services when you need a numeric scalar result quickly via a simple HTTP call.
Side effects
- Non-square or non-numeric matrix input causes a validation error
- Singular matrix (condition number is infinite) may return Infinity or an error
- Empty or malformed 2D array causes a 400-level error
- Very large matrices may time out
- Missing required 'A' field returns a schema validation error
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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