# Ownership Record Completeness Analyzer — Category Frequencies & Date-by-Category Pivot

> Ownership Record Completeness Analyzer — Category Frequencies & Date-by-Category Pivot is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-17).

Runs two local analytical reports on ownership record completeness data: category frequency distribution and a date-by-category pivot table, for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-21-110?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-17
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/ownership-record-completeness-analyzer-category-frequencies-date-by-7d902ac9
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_czhOc2WX0OwMkpt8fA8Bh

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-date-by-7d902ac9 -d '<json body>'
```

Example prompt: Can you run category frequency and date-by-category pivot reports on my ownership completeness records? I have rows with company_group, date, documented_links, and required_links — analyze the documented_links field across up to 200 rows for group-a and group-b.

## When to prefer this

Choose this endpoint when you need fast, offline analytical summaries of ownership record completeness data — specifically category frequency counts and date-by-category pivots — without requiring a live data connection, external enrichment, or prediction. Best suited for batch analysis of up to 200 ownership records at a low fixed cost of $0.01 USDC per call covering both reports.

## Known failure modes

- Input array exceeds 200 rows — request will be rejected or truncated
- Missing required fields (row_id, company_group, date, documented_links, required_links) cause row-level errors
- Date field not matching YYYY-MM-DD pattern causes validation failure
- Null numeric values may affect aggregation totals in pivot output
- Empty rows array returns no report data

## How this service works

Ownership record completeness — Category frequencies + Date by category pivot: Category frequencies + Date by category pivot 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 analytical reports: (1) a category frequency table showing how often each company_group appears in the supplied records, and (2) a date-by-category pivot table aggregating the selected field (documented_links or required_links) across dates and company groups. Both reports are computed locally with no external lookups. Up to 200 rows are processed per call.

## 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-date-by-7d902ac9/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)