# Company Record Completeness — Trailing Mean Series + Date by Category Pivot

> Company Record Completeness — Trailing Mean Series + 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 2026-10-19).

Generates two analytical reports — a trailing moving average series and a date-by-category pivot table — from supplied company record completeness data (populated_fields, required_fields) for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-01-152?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-19
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/company-record-completeness-trailing-mean-series-date-by-category-pivot-498ebd4f
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_uSsb-AznV4bw9oWlWeVuj

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 company-record-completeness-trailing-mean-series-date-by-category-pivot-498ebd4f -d '<json body>'
```

Example prompt: I have company record completeness data with populated_fields and required_fields for groups A and B across October 2026 — can you run a trailing mean series and a date-by-category pivot on it using a window of 3, analyzing populated_fields?

## When to prefer this

Choose this endpoint when you need both a trailing moving average time series AND a date-by-category pivot from the same batch of company record completeness data in a single low-cost call. Ideal for data quality monitoring workflows where you want to analyze populated or required field trends across company groups without any external API calls, live lookups, or professional assessments. Prefer this over single-report siblings when you need two complementary views — trend smoothing plus categorical breakdown — for the same dataset.

## Known failure modes

- Fewer than 1 row supplied — minimum row count not met
- More than 200 rows supplied — exceeds maximum row limit
- Invalid date format — must match YYYY-MM-DD pattern
- Missing required fields (row_id, company_group, date, populated_fields, required_fields) on any row
- Window size outside 2–200 range — rejected by schema validation
- Invalid field enum value — must be 'populated_fields' or 'required_fields'
- Payment not processed — x402 payment required before response is returned

## How this service works

Company record completeness — Trailing mean series + Date by category pivot: Trailing mean series + Date by category pivot for supplied company record completeness records (populated_fields, required_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

Two analytical reports computed from the supplied rows: (1) a trailing moving average series for the chosen field (populated_fields or required_fields) computed with the specified window size, and (2) a date-by-category pivot table grouping completeness values by date and company_group. Both reports are returned together from shared local analytical engines 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",
     "populated_fields",
     "required_fields"
    ],
    "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_fields": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "populated_fields": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "company_group": "group-a",
     "required_fields": 1,
     "populated_fields": 10
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "company_group": "group-b",
     "required_fields": 2,
     "populated_fields": 20
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "company_group": "group-a",
     "required_fields": 3,
     "populated_fields": 15
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "company_group": "group-b",
     "required_fields": 4,
     "populated_fields": 30
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "populated_fields",
    "required_fields"
   ],
   "type": "string",
   "default": "populated_fields"
  },
  "window": {
   "type": "integer",
   "default": 2,
   "maximum": 200,
   "minimum": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/company-record-completeness-trailing-mean-series-date-by-category-pivot-498ebd4f/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)