# Company Record Completeness — Date×Category Pivot + Missing-Value Fill

> Company Record Completeness — Date×Category Pivot + Missing-Value Fill 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).

Pivots company record completeness data by date and category, then fills missing values using zero, mean, or median imputation — returning two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-01-189?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-date-category-pivot-missing-value-fill-b66592a1
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_1l_da58ua8DQwS3KTzgOR

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-date-category-pivot-missing-value-fill-b66592a1 -d '<json body>'
```

Example prompt: Take these company record completeness rows — each has a date, a company_group, plus populated_fields and required_fields counts — and give me a date-by-category pivot on populated_fields plus fill any missing values using median imputation. I have about 80 rows across groups like 'group-a' and 'group-b' from last quarter.

## When to prefer this

Choose this endpoint when you have pre-collected company record completeness data (populated_fields and required_fields per row) and need both a date-by-category pivot view and a missing-value-imputed version in one low-cost call. Ideal for offline/batch analytical prep where no live data lookup, prediction, or external enrichment is needed, and you want two complementary report formats simultaneously for up to 200 rows.

## Known failure modes

- Fewer than 1 row or more than 200 rows submitted — validation error
- Date values not matching YYYY-MM-DD pattern — schema validation rejection
- populated_fields or required_fields outside allowed numeric range — validation error
- Invalid enum value for field or method parameters — schema rejection
- All values present with no nulls — missing-value fill report will be unchanged from pivot
- Highly sparse data across many groups/dates may produce mostly-imputed pivot with low analytical value

## How this service works

Company record completeness — Date by category pivot + Explicit missing-value fill: Date by category pivot + Explicit missing-value fill 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

Returns two analytical reports: (1) a date-by-category pivot table showing the selected field (populated_fields or required_fields) broken down by company_group across dates, and (2) the same dataset with explicit missing-value imputation applied using the chosen method (zero, mean, or median). Both reports are computed locally from the supplied rows with no external 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"
  },
  "method": {
   "enum": [
    "zero",
    "mean",
    "median"
   ],
   "type": "string",
   "default": "median"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/company-record-completeness-date-category-pivot-missing-value-fill-b66592a1/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)