# Business Location Inventories — Numeric Distribution + Trailing Mean Series

> Business Location Inventories — Numeric Distribution + 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 2026-10-19).

Computes numeric distribution statistics and a trailing mean time series for business location inventory fields (location_count, verified_locations) across up to 200 supplied rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-05-076?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-numeric-distribution-trailing-mean-series-99118026
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_r7kUn5mchIwohy5lB0q3K

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-distribution-trailing-mean-series-99118026 -d '<json body>'
```

Example prompt: Can you run a numeric distribution and trailing mean series on my business location inventory data — I have 4 rows across two company groups with location_count and verified_locations fields, using a window of 2 — and give me both reports?

## When to prefer this

Choose this endpoint when you have pre-collected business location inventory data (location_count or verified_locations) and need both a distributional summary and a rolling mean time series in a single call. Ideal for batch offline analysis of up to 200 rows without requiring live data feeds or external lookups. Best when you need two complementary statistical perspectives on the same dataset cheaply ($0.01 USDC for both reports).

## Known failure modes

- Fewer than 1 row supplied — request rejected
- More than 200 rows submitted — exceeds maximum limit
- Window size smaller than 2 or larger than 200 — invalid parameter
- Field value not one of the allowed enum options (location_count, verified_locations) — validation error
- Missing required row fields (row_id, date, company_group) — schema validation failure
- Non-date-formatted string in date field — pattern mismatch error
- Numeric fields outside allowed range — rejected by schema bounds

## How this service works

Business location inventories — Numeric distribution + Trailing mean series: Numeric distribution + 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 selected numeric field: (1) a numeric distribution breakdown showing spread and frequency characteristics across the supplied rows, and (2) a trailing mean time series computed over the specified window size — both derived entirely from the provided data with no external lookups.

## 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-distribution-trailing-mean-series-99118026/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)