# Business Location Inventories — String Normalisation + Grouped Numeric Summary

> Business Location Inventories — String Normalisation + Grouped Numeric Summary is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-19).

Normalises string fields and computes grouped numeric summaries for business location inventory records (location_count, verified_locations) across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-05-023?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-19
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/business-location-inventories-string-normalisation-grouped-numeric-0afee4c0
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_x2zBsLshk-JRulskGahL6

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-location-inventories-string-normalisation-grouped-numeric-0afee4c0 -d '<json body>'
```

Example prompt: Can you run two reports on my business location inventory data — string normalisation and a grouped numeric summary for location_count — across these 4 rows: row-1 / group-a / 2026-10-01 / location_count=10 / verified_locations=1, row-2 / group-b / 2026-10-02 / 20 / 2, row-3 / group-a / 2026-10-03 / 15 / 3, row-4 / group-b / 2026-10-04 / 30 / 4?

## When to prefer this

Choose this endpoint when you need both string normalisation and grouped numeric summaries on business location inventory data (location_count or verified_locations) in a single low-cost call. It is ideal for small-to-medium batches (up to 200 rows) where no live lookup, prediction, or external enrichment is needed — just local analytical processing of supplied data. At $0.01 USDC for two reports, it is cost-effective for routine data cleaning and aggregation tasks on location inventory datasets.

## Known failure modes

- Rows array exceeds 200 items — request rejected
- Missing required fields (row_id, company_group, date, location_count, verified_locations) — validation error
- Invalid date format (must match YYYY-MM-DD) — schema validation failure
- Numeric values outside allowed range (±1,000,000,000,000) — validation error
- Empty rows array — minimum 1 row required

## How this service works

Business location inventories — String normalisation + Grouped numeric summary: String normalisation + Grouped numeric summary for supplied business location inventories records (location_count, verified_locations). 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 derived from the supplied rows: (1) a string normalisation report cleaning company_group and related text fields, and (2) a grouped numeric summary of the selected field (location_count or verified_locations) aggregated by company_group. No external data is fetched; all analysis is performed on the submitted rows only.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/business-location-inventories-string-normalisation-grouped-numeric-0afee4c0/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)