# Company Record Completeness — IQR Outlier Flags + Date by Category Pivot

> Company Record Completeness — IQR Outlier Flags + 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).

Runs two local analytical reports on company record completeness data: IQR-based outlier detection on populated_fields or required_fields, and a date-by-category pivot table, for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-01-178?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-iqr-outlier-flags-date-by-category-pivot-355714da
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_5baCkap43WbMYIF0cq7Xf

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-iqr-outlier-flags-date-by-category-pivot-355714da -d '<json body>'
```

Example prompt: I have a dataset of up to 100 company records with populated_fields and required_fields counts, grouped by company_group and date — can you run IQR outlier detection and a date-by-category pivot on the populated_fields metric and tell me which records are anomalous?

## When to prefer this

Choose this endpoint when you have up to 200 rows of company record completeness data and need both IQR-based statistical outlier detection and a date-by-category pivot in a single low-cost ($0.01) call. Ideal for data quality audits, CRM hygiene checks, and pre-migration anomaly reviews where you supply the data and want offline, deterministic analysis without any live lookups or external data enrichment.

## Known failure modes

- Input array exceeds 200 rows — request will be rejected or truncated
- Missing required fields (row_id, company_group, date, populated_fields, required_fields) cause validation errors
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Null numeric values may reduce statistical reliability of IQR computation
- Too few rows (e.g. fewer than 4) may make IQR outlier detection statistically meaningless
- Invalid 'field' enum value (not 'populated_fields' or 'required_fields') causes error

## How this service works

Company record completeness — IQR outlier flags + Date by category pivot: IQR outlier flags + 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: (1) IQR outlier flags identifying which rows have populated_fields or required_fields values outside the interquartile range, and (2) a date-by-category pivot table summarizing the selected metric across company_group and date dimensions. Both reports are computed locally from 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"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/company-record-completeness-iqr-outlier-flags-date-by-category-pivot-355714da/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)