# Numora Matrix Trace

> Numora Matrix Trace is a paid API for AI agents from numomo.vercel.app, paid per call via x402, $0.1/call, status unknown (last checked 2026-09-15).

Computes the trace (sum of main diagonal elements) of a square matrix

## Facts

- Endpoint: POST https://numomo.vercel.app/api/matrix/trace
- Price: $0.1/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/numora-matrix-trace-21855ef3
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_-lZ2MibK_1CzsQYroScn7

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-trace-21855ef3 -d '<json body>'
```

Example prompt: Can you compute the trace of this matrix for me: [[3, 1, 2], [0, 5, 4], [7, 6, 8]]? I need the sum of the diagonal elements.

## When to prefer this

Choose this endpoint when you need a fast, dependency-free computation of a matrix trace without setting up a local math library. Ideal for AI agents that need on-demand linear algebra operations as part of larger workflows (e.g. PCA, eigenvalue analysis, tensor computations) and want to pay per-call via x402 micropayments on Base rather than maintaining a math server.

## Known failure modes

- Non-square matrix provided — trace is only defined for square matrices
- Missing or malformed 'A' field in request body
- Non-numeric values in matrix cells
- Payment failure via x402 micropayment protocol
- Empty matrix array provided

## 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 boolean 'success' field, a 'result' object containing the computed trace value (the sum of the main diagonal elements of the input matrix), and a 'computation' string that describes in human-readable form what was computed.

## 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-trace-21855ef3/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from numomo.vercel.app](https://www.zero.xyz/host/numomo.vercel.app/llms.txt)