# Numora Matrix Determinant

> Numora Matrix Determinant 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 determinant of a square matrix supplied as a 2D array

## Facts

- Endpoint: POST https://numormo.vercel.app/api/matrix/determinant
- Price: $0.1/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-14
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/numora-matrix-determinant-b46437eb
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_-1qU0CnjJN7LF4x9cpqH8

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability numora-matrix-determinant-b46437eb -d '<json body>'
```

Example prompt: Calculate the determinant of my 3x3 matrix [[2,1,3],[0,4,1],[5,6,0]] — I need to check if it's invertible.

## When to prefer this

Choose this endpoint when you need a reliable, zero-dependency pure math computation of a matrix determinant without spinning up a local math library or calling a general-purpose code execution service. Ideal for AI agents that need deterministic, fast scalar results for linear algebra tasks such as checking matrix invertibility, computing scaling factors for geometric transformations, or evaluating the feasibility of linear systems. Prefer this over symbolic math APIs when you need a numeric result, and over general code-execution endpoints when you want a lightweight, purpose-built call.

## Known failure modes

- Non-square matrix supplied — determinant is undefined for non-square matrices, likely returns an error
- Empty or null matrix array — missing required field A returns a validation error
- Matrix contains non-numeric values — computation fails with type error
- Extremely large matrices may cause performance or timeout issues
- Malformed 2D array structure (jagged rows) may result in an error

## 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' (boolean), 'result' (object containing the scalar determinant value), and 'computation' (human-readable string describing what was computed, e.g. 'Determinant of a 3×3 matrix').

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "required": [
  "A"
 ],
 "properties": {
  "A": {
   "type": "array",
   "description": "Matrix (2D array)"
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "type": "object",
 "required": [
  "success",
  "result",
  "computation"
 ],
 "properties": {
  "result": {
   "type": "object",
   "description": "Computation result varies by endpoint"
  },
  "success": {
   "type": "boolean",
   "description": "Always true on success"
  },
  "computation": {
   "type": "string",
   "description": "Human-readable description of what was computed"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/numora-matrix-determinant-b46437eb/health.json
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