# Business Directory Coverage Analytics — Base-100 Series & Date-by-Category Pivot

> Business Directory Coverage Analytics — 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 2026-10-16).

Runs two local analytical reports (Base-100 indexed time series and date-by-category pivot) on supplied business directory coverage data tracking listed and verified entities.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-14-167?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-16
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/business-directory-coverage-analytics-base-100-series-date-by-5aa5cd85
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_jbcBgSEpq5Rbga4ad4sZN

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-analytics-base-100-series-date-by-5aa5cd85 -d '<json body>'
```

Example prompt: I have business directory coverage data for two company groups over the past week — can you run a base-100 indexed time series and a date-by-category pivot on the listed_entities field, starting the index at row 0? Here are the rows: group-a on 2026-10-01 had 10 listed and 1 verified, group-b on 2026-10-02 had 20 listed and 2 verified, group-a on 2026-10-03 had 15 listed and 3 verified, group-b on 2026-10-04 had 30 listed and 4 verified.

## When to prefer this

Choose this endpoint when you have tabular business directory coverage data (listed and verified entity counts) already in hand and need two standardized analytical views — a Base-100 indexed trend series and a date-by-category pivot — without any external data lookups. It is ideal for offline, batch analytical reporting on up to 200 rows at a very low cost ($0.01 USDC for both reports). Prefer this over general-purpose analytics tools when you want a pre-structured, deterministic output for directory coverage specifically.

## Known failure modes

- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, date, company_group) cause validation errors
- Invalid date format (not YYYY-MM-DD) fails schema validation
- base_index out of range for provided rows causes indexing error
- All null values in selected field may produce empty or degenerate output
- Malformed numeric values for listed_entities or verified_entities rejected

## How this service works

Business directory coverage — Base-100 series + Date by category pivot: Base-100 series + 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

Returns two analytical reports computed locally on the supplied rows: (1) a Base-100 indexed time series for the selected field (listed_entities or verified_entities) anchored at the specified base_index row, and (2) a date-by-category pivot table breaking down coverage figures by date and company_group. Up to 200 rows processed per call; no external data fetched.

## 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"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/business-directory-coverage-analytics-base-100-series-date-by-5aa5cd85/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)