# Export Validation Analytics — Grouped Numeric Summary + Weighted Mean

> Export Validation Analytics — Grouped Numeric Summary + 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 a grouped numeric summary and a secondary-measure weighted mean for export validation records (valid_rows, exported_rows) across up to 200 rows in two independent reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-14-096?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/export-validation-analytics-grouped-numeric-summary-weighted-mean-1903ce62
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_AODqjnke9R_jnojKAGeV7

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 export-validation-analytics-grouped-numeric-summary-weighted-mean-1903ce62 -d '<json body>'
```

Example prompt: Can you run a grouped numeric summary and a weighted mean analysis on my export validation records — I have rows with dataset_group, date, valid_rows, and exported_rows fields (up to 200 rows) and I want to analyze valid_rows grouped by dataset group, using exported_rows as the secondary measure for the weighted mean?

## When to prefer this

Choose this endpoint when you need two bundled analytical reports — a grouped numeric summary and a weighted mean — on export validation data (valid_rows, exported_rows) in a single low-cost call. It is ideal for ETL monitoring, data pipeline audits, and export quality checks where you have up to 200 structured records grouped by dataset category and want offline, deterministic computation without any external data lookups or predictions.

## Known failure modes

- Fewer than 1 row supplied — request rejected
- More than 200 rows submitted — exceeds maximum row limit
- Missing required fields (row_id, dataset_group, date, valid_rows, exported_rows) — validation error
- Invalid date format (must be YYYY-MM-DD) — schema validation failure
- Null values in numeric fields may affect weighted mean computation
- Invalid field enum value — must be 'valid_rows' or 'exported_rows'

## How this service works

Export validation — Grouped numeric summary + Secondary-measure weighted mean: Grouped numeric summary + Secondary-measure weighted mean for supplied export validation records (valid_rows, exported_rows). 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 independent analytical reports: (1) a grouped numeric summary breaking down the selected field (valid_rows or exported_rows) by dataset_group, including descriptive statistics per group; and (2) a secondary-measure weighted mean of the primary field weighted by the other measure, across all supplied export validation records. Results 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",
     "valid_rows",
     "exported_rows"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "valid_rows": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "dataset_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "exported_rows": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "valid_rows": 10,
     "dataset_group": "group-a",
     "exported_rows": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "valid_rows": 20,
     "dataset_group": "group-b",
     "exported_rows": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "valid_rows": 15,
     "dataset_group": "group-a",
     "exported_rows": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "valid_rows": 30,
     "dataset_group": "group-b",
     "exported_rows": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "valid_rows",
    "exported_rows"
   ],
   "type": "string",
   "default": "valid_rows"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/export-validation-analytics-grouped-numeric-summary-weighted-mean-1903ce62/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)