# Sampling Observations — Numeric Distribution + Secondary-Measure Weighted Mean

> Sampling Observations — Numeric Distribution + Secondary-Measure Weighted Mean 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 numeric distribution statistics and secondary-measure weighted mean for up to 200 supplied sampling observation records (sample_value, sample_weight).

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-15-082?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-numeric-distribution-secondary-measure-weighted-ada0dd10
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_VpO0LxuqeofA9ZhXT_8rA

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-numeric-distribution-secondary-measure-weighted-ada0dd10 -d '<json body>'
```

Example prompt: Can you compute the numeric distribution and weighted mean for my sampling observations? I have 4 rows — row-1 on 2026-10-01 with sample_value 10 and sample_weight 1 in group-a, row-2 on 2026-10-02 with value 20 and weight 2 in group-b, row-3 on 2026-10-03 with value 15 and weight 3 in group-a, and row-4 on 2026-10-04 with value 30 and weight 4 in group-b — run both the distribution and the secondary-measure weighted mean reports on sample_value.

## When to prefer this

Choose this endpoint when you have up to 200 rows of sampling observation data and need both a numeric distribution report and a secondary-measure weighted mean in a single cost-efficient call ($0.01 USDC for both reports). Ideal when sample_weight is a meaningful secondary dimension (e.g. population size, batch size, body weight) that should influence the mean. Prefer over general-purpose analytics tools when working with structured sampling datasets that already include explicit weight fields.

## Known failure modes

- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, dataset_group, date, sample_value, sample_weight) causes rejection
- Values outside allowed numeric range (±1,000,000,000,000) fail schema validation
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Empty rows array returns an error
- Null values in sample_value or sample_weight may affect distribution and weighted mean calculations

## How this service works

Sampling observations — Numeric distribution + Secondary-measure weighted mean: Numeric distribution + Secondary-measure weighted mean 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

Two analytical reports for the supplied sampling observation rows: (1) a numeric distribution breakdown of the selected field (sample_value or sample_weight), and (2) a secondary-measure weighted mean where sample values are averaged weighted by the sample_weight field. Results are computed locally from supplied data only — no external lookup or live data.

## 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"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/sampling-observations-numeric-distribution-secondary-measure-weighted-ada0dd10/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)