# Business Directory Coverage — Numeric Interval Filter + Adjacent Row Changes

> Business Directory Coverage — Numeric Interval Filter + Adjacent Row Changes 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).

Filters business directory coverage rows by a numeric interval and computes adjacent-row changes for listed_entities or verified_entities, returning two analytical reports from supplied data.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-14-127?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-numeric-interval-filter-adjacent-row-08c8b9ed
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_L3M3qFX1Tmheje0n175NP

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-numeric-interval-filter-adjacent-row-08c8b9ed -d '<json body>'
```

Example prompt: I have business directory coverage data for groups A and B across four dates — can you filter rows where listed_entities falls between 10 and 25, and also show me the adjacent row changes for listed_entities? Here are my rows: [{row_id: 'row-1', company_group: 'group-a', date: '2026-10-01', listed_entities: 10, verified_entities: 1}, {row_id: 'row-2', company_group: 'group-b', date: '2026-10-02', listed_entities: 20, verified_entities: 2}, {row_id: 'row-3', company_group: 'group-a', date: '2026-10-03', listed_entities: 15, verified_entities: 3}, {row_id: 'row-4', company_group: 'group-b', date: '2026-10-04', listed_entities: 30, verified_entities: 4}].

## When to prefer this

Choose this endpoint when you have up to 200 rows of business directory coverage data and need both a numeric range filter and an adjacent-row change analysis in a single call for $0.01 USDC. It is ideal for lightweight, offline analytical tasks on pre-collected directory data where no live lookup, prediction, or external data enrichment is needed.

## Known failure modes

- Exceeding 200 rows returns an error or truncation
- Missing required fields (row_id, date, company_group, listed_entities, verified_entities) causes validation failure
- Invalid date format (not YYYY-MM-DD) rejected by pattern validation
- minimum greater than maximum yields an empty interval filter result
- Null values in listed_entities or verified_entities may produce null deltas in adjacent-row report
- Payment failure (insufficient USDC) blocks execution

## How this service works

Business directory coverage — Numeric interval filter + Adjacent row changes: Numeric interval filter + Adjacent row changes 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 derived from the supplied rows: (1) rows filtered to those where the selected field (listed_entities or verified_entities) falls within the specified [minimum, maximum] interval, and (2) a row-by-row delta report showing changes between each adjacent row for the selected field. Up to 200 rows supported per call.

## 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"
  },
  "maximum": {
   "type": "number",
   "default": 100,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  },
  "minimum": {
   "type": "number",
   "default": 0,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/business-directory-coverage-numeric-interval-filter-adjacent-row-08c8b9ed/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)
