# Ownership Record Completeness — Two-Measure Correlation + Date-by-Category Pivot

> Ownership Record Completeness — Two-Measure Correlation + 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 2026-10-16).

Runs two statistical reports on ownership record completeness data: a Pearson/Spearman correlation between documented_links and required_links, plus a date-by-category pivot table, for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-21-182?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-two-measure-correlation-date-by-a01088c8
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_KghcGjsg0s7TRVp3WyDzg

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-two-measure-correlation-date-by-a01088c8 -d '<json body>'
```

Example prompt: I have ownership completeness records for two company groups over several dates — can you run a correlation between documented_links and required_links, and also pivot the data by date and company group? Here are the rows: row-1, 2026-10-01, group-a, documented_links=10, required_links=1; row-2, 2026-10-02, group-b, documented_links=20, required_links=2; row-3, 2026-10-03, group-a, documented_links=15, required_links=3; row-4, 2026-10-04, group-b, documented_links=30, required_links=4.

## When to prefer this

Choose this endpoint when you need both a pairwise correlation analysis and a date-by-category pivot on ownership record completeness data in a single API call. It is purpose-built for ownership link datasets (documented_links vs required_links) and bundles two reports for $0.01 USDC, making it cost-efficient versus calling separate analytics endpoints. Prefer it over generic stats tools when your data fits the ownership completeness schema with up to 200 rows and you want offline, supply-side computation with no external data access.

## Known failure modes

- Input rows array is empty or missing — returns validation error
- Row count exceeds 200 — request rejected
- Invalid date format (not YYYY-MM-DD) — row fails schema validation
- Null values in documented_links or required_links may reduce correlation sample size
- Payment not received or insufficient USDC — x402 payment required error
- row_id missing or empty string — schema validation failure

## How this service works

Ownership record completeness — Two-measure correlation + Date by category pivot: Two-measure correlation + 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 independent analytical reports: (1) a two-measure correlation report showing the statistical relationship (e.g. Pearson r) between documented_links and required_links across all supplied rows, and (2) a date-by-category pivot table aggregating values by date and company_group. Both reports are computed 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-two-measure-correlation-date-by-a01088c8/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)