# Business Directory Coverage — String Normalisation + IQR Outlier Flags

> Business Directory Coverage — String Normalisation + IQR Outlier Flags 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).

Normalises strings and flags IQR-based outliers in business directory coverage data (listed_entities, verified_entities) for up to 200 rows, producing 2 independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-14-032?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-string-normalisation-iqr-outlier-flags-8db58471
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_seMY2BpGEKPqQ_Y7HgF3V

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-string-normalisation-iqr-outlier-flags-8db58471 -d '<json body>'
```

Example prompt: Can you run string normalisation and IQR outlier detection on my business directory coverage data? Here are 4 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 — run the analysis on the listed_entities field.

## When to prefer this

Choose this endpoint when you need lightweight, local statistical analysis of business directory coverage metrics — specifically string normalisation and IQR-based outlier detection — without any live lookups, predictions, or external API calls. Ideal for data quality audits on batches of up to 200 directory records where cost efficiency matters ($0.01 USDC for 2 reports). Prefer alternatives if you need predictive analytics, external data enrichment, or analysis of fields beyond listed_entities and verified_entities.

## Known failure modes

- More than 200 rows submitted — request rejected due to maxItems constraint
- Missing required fields (row_id, company_group, date, listed_entities, verified_entities) — validation error
- Date field does not match YYYY-MM-DD pattern — schema validation failure
- Field value outside allowed numeric range (±1,000,000,000,000) — rejected
- Invalid enum value for 'field' parameter (must be listed_entities or verified_entities) — error response
- Empty rows array (minItems: 1 not satisfied) — validation failure

## How this service works

Business directory coverage — String normalisation + IQR outlier flags: String normalisation + IQR outlier flags 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 2 independent analytical reports: (1) a string normalisation report covering the supplied row data, and (2) an IQR outlier flag report identifying statistically anomalous values in the selected field (listed_entities or verified_entities), all computed locally without external lookups or predictions. No external data is 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"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/business-directory-coverage-string-normalisation-iqr-outlier-flags-8db58471/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)