# Ownership Record Completeness — Category Frequencies + Trailing Mean Series

> Ownership Record Completeness — Category Frequencies + Trailing Mean Series 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) by computing category frequency distributions and a trailing mean time series, returning two independent statistical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-21-103?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-category-frequencies-trailing-mean-series-eef6bf7e
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_qxti_V7JtGvvAq_mszJN_

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-category-frequencies-trailing-mean-series-eef6bf7e -d '<json body>'
```

Example prompt: Can you run category frequency and trailing mean analysis on this ownership completeness dataset — I have rows with company_group, date, documented_links, and required_links fields for up to 100 companies; use 'documented_links' as the target field and a window of 4?

## When to prefer this

Choose this endpoint when you need fast, local statistical analysis of ownership record completeness data (documented_links and required_links) and want both a categorical frequency breakdown and a rolling mean time series in a single $0.01 call. It is ideal for batch audits of up to 200 rows without requiring any external data enrichment, prediction, or live lookups. Prefer it over general-purpose analytics tools when you want a cheap, pre-packaged dual-report output for corporate ownership documentation metrics specifically.

## Known failure modes

- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, date, documented_links, required_links) cause validation errors
- Invalid date format (not YYYY-MM-DD) triggers schema validation failure
- Window size outside 2–200 range causes parameter rejection
- All null values in the target field may produce empty or degenerate series
- Malformed JSON body returns HTTP 400
- Payment not attached or insufficient USDC balance returns 402 Payment Required

## How this service works

Ownership record completeness — Category frequencies + Trailing mean series: Category frequencies + Trailing mean series 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 category frequency table showing how documented_links or required_links values are distributed across company groups and dates, and (2) a trailing mean time series computed over the specified window size — both derived entirely from the supplied input rows with no external data 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"
  },
  "window": {
   "type": "integer",
   "default": 2,
   "maximum": 200,
   "minimum": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/ownership-record-completeness-category-frequencies-trailing-mean-series-eef6bf7e/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)