# Business Directory Coverage — Date-by-Category Pivot & Keyed Dataset Comparison

> Business Directory Coverage — Date-by-Category Pivot & Keyed Dataset Comparison 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: a date-by-category pivot table and a keyed dataset comparison, across up to 200 supplied rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-14-188?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-date-by-category-pivot-keyed-dataset-65cafba6
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_8TSy2j-i88sSekWlyKQKM

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-date-by-category-pivot-keyed-dataset-65cafba6 -d '<json body>'
```

Example prompt: I have two sets of business directory coverage records — each with up to 50 rows including row_id, company_group, date, listed_entities, and verified_entities — can you run a date-by-category pivot and a keyed comparison between the two datasets using the listed_entities field?

## When to prefer this

Choose this endpoint when you have pre-collected business directory coverage data (listed and verified entity counts by company group and date) and need both a pivot table view and a side-by-side keyed comparison against a second dataset in a single low-cost call. It is purely local analytical computation with no live data fetching, making it suitable for offline batch analysis of up to 200 rows at $0.01 per call.

## Known failure modes

- Rows array exceeds 200 items — request rejected
- Missing required fields (row_id, company_group, date, listed_entities, verified_entities) in any row — validation error
- Invalid date format (must be YYYY-MM-DD) — schema validation failure
- Field enum value not recognized (must be listed_entities or verified_entities) — rejected
- Empty rows array — minimum 1 item required

## How this service works

Business directory coverage — Date by category pivot + Keyed dataset comparison: Date by category pivot + Keyed dataset comparison 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

Returns two analytical reports: (1) a date-by-category pivot table showing the selected metric (listed_entities or verified_entities) broken down by date and company_group, and (2) a keyed dataset comparison highlighting differences between the primary rows dataset and the supplied comparison (other) dataset, all computed locally without any 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}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "company_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "listed_entities": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "verified_entities": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "company_group": "group-a",
     "listed_entities": 10,
     "verified_entities": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "company_group": "group-b",
     "listed_entities": 20,
     "verified_entities": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "company_group": "group-a",
     "listed_entities": 15,
     "verified_entities": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "company_group": "group-b",
     "listed_entities": 30,
     "verified_entities": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "listed_entities",
    "verified_entities"
   ],
   "type": "string",
   "default": "listed_entities"
  },
  "other": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "company_group",
     "date",
     "listed_entities",
     "verified_entities"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "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
… (truncated)
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/business-directory-coverage-date-by-category-pivot-keyed-dataset-65cafba6/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)