# Metadata Completeness — Numeric Distribution + Secondary-Measure Weighted Mean

> Metadata Completeness — 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 2026-10-26).

Computes a numeric distribution report and a secondary-measure weighted mean report for supplied metadata completeness records (present_fields, expected_fields) across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-web-05-082?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-26
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/metadata-completeness-numeric-distribution-secondary-measure-weighted-b3256c45
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Y8-6rgligkjmRTw-3ERgX

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 metadata-completeness-numeric-distribution-secondary-measure-weighted-b3256c45 -d '<json body>'
```

Example prompt: Can you run a numeric distribution and secondary-measure weighted mean analysis on my metadata completeness data? I have 4 rows: row-1 for group-a on 2026-10-01 with present_fields=10 and expected_fields=1, row-2 for group-b on 2026-10-02 with 20 and 2, row-3 for group-a on 2026-10-03 with 15 and 3, and row-4 for group-b on 2026-10-04 with 30 and 4 — analyze present_fields.

## When to prefer this

Choose this endpoint when you have tabular metadata completeness records (present_fields + expected_fields per row) and need both a numeric distribution and a weighted mean in a single call without any external data lookups or live predictions. Ideal for offline/batch quality audits on datasets up to 200 rows where cost efficiency ($0.01 for two reports) matters.

## Known failure modes

- Fewer than 1 row submitted returns a validation error
- More than 200 rows submitted exceeds the row limit
- Missing required fields (row_id, site_group, date, present_fields, expected_fields) causes schema validation failure
- Invalid date format (not YYYY-MM-DD) triggers pattern validation error
- Null values in present_fields or expected_fields may affect weighted mean computation
- Invalid field selector (not 'present_fields' or 'expected_fields') returns an enum validation error

## How this service works

Metadata completeness — Numeric distribution + Secondary-measure weighted mean: Numeric distribution + Secondary-measure weighted mean for supplied metadata completeness records (present_fields, expected_fields). 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 independent analytical reports computed locally: (1) a numeric distribution of the selected field (present_fields or expected_fields) across the submitted rows, and (2) a secondary-measure weighted mean that incorporates both present_fields and expected_fields. Both reports are derived entirely from the supplied data with no external lookups.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/metadata-completeness-numeric-distribution-secondary-measure-weighted-b3256c45/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)