# Company Record Completeness — Base-100 Series + Date-by-Category Pivot

> Company Record Completeness — Base-100 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 (Base-100 indexed time series and a date-by-category pivot) from supplied company record completeness data, measuring populated vs. required fields across company groups.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-01-167?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-base-100-series-date-by-category-pivot-d017fced
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_wxG9PXtVkVa-LN510SW9f

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-base-100-series-date-by-category-pivot-d017fced -d '<json body>'
```

Example prompt: Take my company completeness records for group-a and group-b across October 2026 — each row has populated_fields and required_fields — and give me both a Base-100 series indexed from row 0 and a date-by-category pivot, analyzing the populated_fields metric.

## When to prefer this

Choose this endpoint when you have pre-collected company record completeness data (populated vs. required field counts) and need both a normalized Base-100 trend series and a categorical date pivot in a single low-cost call. It is best suited for offline/batch analytical reporting rather than live data enrichment, prediction, or external data lookups. Ideal for data quality dashboards, CRM audits, and business intelligence pipelines where the raw rows are already available.

## Known failure modes

- Missing required row fields (row_id, date, company_group, populated_fields, required_fields) cause validation errors
- More than 200 rows submitted exceeds the maxItems limit
- Invalid date format (not YYYY-MM-DD) fails pattern validation
- base_index out of range (0–199) causes an error
- null values in numeric fields may produce incomplete series results
- Empty rows array (minItems: 1 not met) is rejected

## How this service works

Company record completeness — Base-100 series + Date by category pivot: Base-100 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

Returns two independent analytical reports derived from the supplied rows: (1) a Base-100 indexed time series normalizing the chosen field metric (populated_fields or required_fields) relative to the value at the specified base_index row, and (2) a date-by-category pivot table cross-tabulating the field metric by date and company_group. Both reports are computed locally from 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",
     "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"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/company-record-completeness-base-100-series-date-by-category-pivot-d017fced/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)