# Sampling Observations — Grouped Numeric Summary + Trailing Mean Series

> Sampling Observations — Grouped Numeric Summary + Trailing Mean Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15).

Computes a grouped numeric summary and a trailing mean series for up to 200 sampling observation records with sample values and weights.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-15-090?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/sampling-observations-grouped-numeric-summary-trailing-mean-series-2bd7891e
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap__tTsdhL_75pkUZxzeLcD3

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 sampling-observations-grouped-numeric-summary-trailing-mean-series-2bd7891e -d '<json body>'
```

Example prompt: Can you run a grouped numeric summary and trailing mean series (window size 7) on my sampling observations — I have up to 150 rows with sample_value and sample_weight fields, grouped by dataset_group — and give me both reports at once?

## When to prefer this

Choose this endpoint when you need both a grouped categorical summary and a rolling/trailing mean time series from the same batch of sampling observation data in a single paid call. It is ideal for survey, quality-control, or experimental data with explicit group labels and date-ordered records. Prefer this over single-report endpoints when you want two complementary views (cross-sectional + temporal) for the price of one call.

## Known failure modes

- Fewer than 1 row or more than 200 rows provided — request rejected
- Window size larger than the number of rows — trailing mean series may be incomplete or error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- sample_value or sample_weight outside allowed range (±1,000,000,000,000) — rejected
- Missing required fields (row_id, dataset_group, date) — validation error
- Payment of 0.01 USDC not completed — 402 Payment Required response

## How this service works

Sampling observations — Grouped numeric summary + Trailing mean series: Grouped numeric summary + Trailing mean series for supplied sampling observations records (sample_value, sample_weight). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.

## Output

Returns two analytical reports: (1) a grouped numeric summary breaking down statistics (e.g. mean, count, min, max) for sample_value or sample_weight across dataset_group categories, and (2) a trailing mean series showing rolling window averages of the chosen field across the date-ordered rows. Both reports are computed locally with no external lookups.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "dataset_group",
     "date",
     "sample_value",
     "sample_weight"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "sample_value": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "dataset_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "sample_weight": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "sample_value": 10,
     "dataset_group": "group-a",
     "sample_weight": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "sample_value": 20,
     "dataset_group": "group-b",
     "sample_weight": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "sample_value": 15,
     "dataset_group": "group-a",
     "sample_weight": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "sample_value": 30,
     "dataset_group": "group-b",
     "sample_weight": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "sample_value",
    "sample_weight"
   ],
   "type": "string",
   "default": "sample_value"
  },
  "window": {
   "type": "integer",
   "default": 2,
   "maximum": 200,
   "minimum": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/sampling-observations-grouped-numeric-summary-trailing-mean-series-2bd7891e/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from market.datapackvibe.com](https://www.zero.xyz/host/market.datapackvibe.com/llms.txt)