# Numora Descriptive Statistics API

> Numora Descriptive Statistics API 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 descriptive statistics (mean, median, mode, variance, standard deviation, etc.) for a numerical dataset

## Facts

- Endpoint: POST https://numormo.vercel.app/api/statistics/descriptive
- 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-descriptive-statistics-api-68901e86
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_oNPLOKhUWQad3TFYRs318

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-descriptive-statistics-api-68901e86 -d '<json body>'
```

Example prompt: Can you compute the descriptive statistics — mean, median, standard deviation, and variance — for this dataset: [12.5, 14.2, 9.8, 15.0, 11.3, 13.7, 10.1]?

## When to prefer this

Choose this endpoint when you need fast, serverless, zero-dependency descriptive statistics computation on a numerical array without integrating a full data science library or sending data to an external analytics platform. Ideal for AI agents that need lightweight statistical summaries inline within a workflow, especially when paying per-call via x402 micropayments is acceptable and no persistent state or charting is required.

## Known failure modes

- Empty or missing data array returns validation error
- Non-numerical values in the array may cause computation failure
- Single-element arrays may produce undefined variance/standard deviation
- Malformed request body returns HTTP 400
- Network or server timeout on very large arrays

## 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 flag, a human-readable computation description, and a result object containing descriptive statistics (e.g. mean, median, mode, variance, standard deviation, min, max, count) computed from the input numerical array.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "required": [
  "data"
 ],
 "properties": {
  "data": {
   "type": "array",
   "description": "Numerical dataset"
  }
 }
}
```

## 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-descriptive-statistics-api-68901e86/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from numormo.vercel.app](https://www.zero.xyz/host/numormo.vercel.app/llms.txt)