# Business Directory Coverage IQR Outlier Flags + Date by Category Pivot

> Business Directory Coverage 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 2026-10-20).

Runs two analytical reports on business directory coverage data: IQR-based outlier detection and a date-by-category pivot, for up to 200 rows of listed/verified entity counts.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-14-178?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-20
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/business-directory-coverage-iqr-outlier-flags-date-by-category-pivot-ee1d732f
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_-GmDWtdw7AY9sUgI_yvxO

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 business-directory-coverage-iqr-outlier-flags-date-by-category-pivot-ee1d732f -d '<json body>'
```

Example prompt: I have business directory coverage data with listed and verified entity counts across a few company groups — can you flag any IQR outliers and also give me a pivot of listed_entities by date and category? Here are my rows: row-1, 2026-10-01, group-a, 10 listed, 1 verified; row-2, 2026-10-02, group-b, 20 listed, 2 verified; row-3, 2026-10-03, group-a, 150 listed, 3 verified.

## When to prefer this

Choose this endpoint when you have up to 200 rows of business directory coverage data (listed and verified entity counts by company group and date) and need both IQR-based outlier flagging and a date-by-category pivot in a single low-cost call. It is ideal for data quality checks before reporting, anomaly detection in directory datasets, and summarizing coverage trends. It does not perform live lookups, predictions, or external enrichment — use it purely for local statistical analysis of supplied data.

## Known failure modes

- Missing required fields (row_id, date, company_group) returns a validation error
- Fewer than 1 or more than 200 rows triggers a row count constraint error
- Invalid date format (non-YYYY-MM-DD) causes schema rejection
- Null or out-of-range numeric values for listed_entities or verified_entities may be excluded from IQR computation
- Invalid field enum value (not 'listed_entities' or 'verified_entities') returns an error
- Insufficient row variance may produce trivial or degenerate IQR results

## How this service works

Business directory coverage — IQR outlier flags + Date by category pivot: IQR outlier flags + Date by category pivot for supplied business directory coverage records (listed_entities, verified_entities). 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 for the supplied dataset: (1) IQR outlier flags identifying rows where the selected field (listed_entities or verified_entities) falls outside the interquartile range bounds, and (2) a pivot table of the selected metric broken down by date and company_group category. Both reports cover up to 200 input rows and are computed locally without external lookups.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "company_group",
     "date",
     "listed_entities",
     "verified_entities"
    ],
    "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
     },
     "listed_entities": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "verified_entities": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "company_group": "group-a",
     "listed_entities": 10,
     "verified_entities": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "company_group": "group-b",
     "listed_entities": 20,
     "verified_entities": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "company_group": "group-a",
     "listed_entities": 15,
     "verified_entities": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "company_group": "group-b",
     "listed_entities": 30,
     "verified_entities": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "listed_entities",
    "verified_entities"
   ],
   "type": "string",
   "default": "listed_entities"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/business-directory-coverage-iqr-outlier-flags-date-by-category-pivot-ee1d732f/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)