# Ownership Record Completeness Analyzer — Category Frequencies & IQR Outlier Flags

> Ownership Record Completeness Analyzer — Category Frequencies & 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 2026-10-16).

Analyzes ownership record completeness data (documented_links, required_links) to produce category frequency distributions and IQR-based outlier flags for up to 200 rows across 2 independent reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-21-107?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-16
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/ownership-record-completeness-analyzer-category-frequencies-iqr-73717843
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_01iXQ2BgfsoHUcPSaiJID

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 ownership-record-completeness-analyzer-category-frequencies-iqr-73717843 -d '<json body>'
```

Example prompt: Can you analyze my ownership record completeness data and flag any IQR outliers in the documented_links field? I have 4 rows — row-1 through row-4 across group-a and group-b — and I want category frequencies plus outlier flags for the documented_links column.

## When to prefer this

Choose this endpoint when you have up to 200 rows of ownership record completeness data and need fast, local statistical analysis — specifically IQR outlier detection and category frequency distributions — without any external lookups or predictions. It is well-suited for data quality audits, compliance preparation, or spotting anomalies in documented vs. required link counts across company groups. It is not appropriate for large datasets (>200 rows), real-time data enrichment, or predictive modeling.

## Known failure modes

- Fewer than 1 or more than 200 rows submitted — request rejected
- Missing required fields (row_id, company_group, date, documented_links, required_links) — validation error
- Invalid date format (must match YYYY-MM-DD) — schema rejection
- Numeric values outside allowed range (±1,000,000,000,000) — validation error
- Invalid field enum value (must be 'documented_links' or 'required_links') — schema error
- Payment not completed via x402 protocol — request not processed

## How this service works

Ownership record completeness — Category frequencies + IQR outlier flags: Category frequencies + IQR outlier flags for supplied ownership record completeness records (documented_links, required_links). 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 (one per submitted field up to the selected field): (1) category frequency counts broken down by company_group, and (2) IQR-based outlier flags per row identifying values that fall outside the interquartile range. All analysis is performed locally on the supplied data with no external lookups.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/ownership-record-completeness-analyzer-category-frequencies-iqr-73717843/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)