# Sindri Descriptive Statistics Summary

> Sindri Descriptive Statistics Summary is a paid API for AI agents from x402.outpimp.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-14).

Computes descriptive statistics (mean, median, variance, standard deviation, and 25th/75th/90th percentiles) over a numeric array of up to 10,000 elements using R/numpy-compatible interpolation.

## Facts

- Endpoint: POST https://x402.outpimp.com/statisticsSummary
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-14
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/sindri-descriptive-statistics-summary-2eaa3189
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_FtHiwY6moOR4ZvWZnvE84

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 sindri-descriptive-statistics-summary-2eaa3189 -d '<json body>'
```

Example prompt: Can you give me a full descriptive statistics summary — mean, median, variance, standard deviation, and the 25th, 75th, and 90th percentiles — for this list of numbers: [12, 45, 7, 89, 23, 56, 34, 78, 11, 67, 90, 3, 44, 55, 29]?

## When to prefer this

Choose this endpoint when you need R/numpy-compatible descriptive statistics (including percentiles via linear interpolation) computed in a single API call over a numeric array. It is ideal for agents that need reproducible, standard statistical summaries without spinning up a Python or R runtime. Prefer this over manual computation when working with arrays up to 10,000 elements and needing consistent cross-platform statistical outputs.

## Known failure modes

- Empty array input returns an error since at least one value is required
- Array exceeding 10,000 elements is rejected with a size limit error
- Non-numeric values in the array cause a validation error
- Malformed JSON body returns a 400 bad request
- Payment not included or insufficient USDC triggers a 402 Payment Required response

## How this service works

Descriptive statistics summary (mean, median, variance, standard deviation, and 25th/75th/90th percentiles via linear interpolation, matching R and numpy's default "type=7" method) over a numeric array of up to 10,000 elements.

## Output

Returns a JSON object containing the mean, median, variance, standard deviation, and the 25th, 75th, and 90th percentiles computed via linear interpolation (matching R and numpy's type=7 default method) for the provided numeric array.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "values": {
   "type": "array",
   "description": "Non-empty array of numbers, up to 10,000 elements."
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/sindri-descriptive-statistics-summary-2eaa3189/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from x402.outpimp.com](https://www.zero.xyz/host/x402.outpimp.com/llms.txt)