# Metadata Completeness — Numeric Distribution + IQR Outlier Flags

> Metadata Completeness — Numeric Distribution + IQR Outlier Flags 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 numeric distribution statistics and IQR-based outlier flags for metadata completeness records (present_fields, expected_fields) across up to 200 rows, producing 2 independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-web-05-080?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-iqr-outlier-flags-85237c0e
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_4PTJymHktlLB3jHorYWrH

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-iqr-outlier-flags-85237c0e -d '<json body>'
```

Example prompt: Analyze the distribution and flag IQR outliers for these metadata completeness records — I have 50 rows each with a row_id, site_group, date, present_fields, and expected_fields, and I want the report focused on the present_fields column.

## When to prefer this

Choose this endpoint when you have a batch of up to 200 metadata completeness records and need both distribution statistics and IQR outlier detection in a single call, without requiring external data sources or live lookups. It is ideal for data quality audits, pipeline QA checks, and periodic completeness monitoring where the data is already available client-side.

## Known failure modes

- Input array exceeds 200 rows — request will be rejected or truncated
- Missing required fields (row_id, site_group, date, present_fields, expected_fields) cause validation errors
- Null values in the selected numeric field may affect distribution calculations
- Invalid date format (not YYYY-MM-DD) triggers schema validation failure
- Submitting fewer than 1 row causes a minItems constraint error

## How this service works

Metadata completeness — Numeric distribution + IQR outlier flags: Numeric distribution + IQR outlier flags 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 2 independent analytical reports covering: numeric distribution statistics (e.g. min, max, mean, median, quartiles) and IQR-based outlier flags for the selected field (present_fields or expected_fields) across the supplied rows, with no external data lookup or prediction involved.

## 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-iqr-outlier-flags-85237c0e/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)