# Business Location Inventories — Numeric Row Ordering + Trailing Mean Series

> Business Location Inventories — Numeric Row Ordering + Trailing Mean Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15).

Computes numeric row ordering and trailing mean series for business location inventory data (location_count, verified_locations) across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-05-115?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/business-location-inventories-numeric-row-ordering-trailing-mean-series-81c5f3ab
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_hj6v3MgP4Lhk3UccjxaPP

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-numeric-row-ordering-trailing-mean-series-81c5f3ab -d '<json body>'
```

Example prompt: Take my location inventory records — rows with date, company_group, location_count, and verified_locations — and give me both a numeric row ordering and a trailing mean series for location_count using a window size of 3.

## When to prefer this

Choose this endpoint when you have tabular business location inventory data and need both a ranked row ordering and a rolling/trailing mean series in a single call for up to 200 rows, without needing live data lookups, external enrichment, or predictive modeling. Ideal for offline analytics pipelines, data QA, or smoothing noisy location count time series across company groups.

## Known failure modes

- Fewer than 1 row provided — minimum row count not met
- More than 200 rows submitted — exceeds maximum batch size
- Window size larger than number of rows — trailing mean cannot be computed
- Invalid date format — must match YYYY-MM-DD pattern
- Missing required fields (row_id, date, location_count, verified_locations) — request rejected
- Non-numeric values in location_count or verified_locations — computation fails

## How this service works

Business location inventories — Numeric row ordering + Trailing mean series: Numeric row ordering + Trailing mean series 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

Returns two analytical reports for the supplied rows: (1) a numeric row ordering ranking each row by the selected field value, and (2) a trailing mean series applying a rolling average with the specified window size to the selected field — both computed locally without external lookups or predictions.

## 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"
  },
  "window": {
   "type": "integer",
   "default": 2,
   "maximum": 200,
   "minimum": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/business-location-inventories-numeric-row-ordering-trailing-mean-series-81c5f3ab/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)