# Business Location Inventories — Daily Sum Series + Missing Value Fill

> Business Location Inventories — Daily Sum Series + Missing Value Fill 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 daily sum series for business location inventory metrics and fills missing values using a chosen method (zero, mean, or median) across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-05-145?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-daily-sum-series-missing-value-fill-eb791d13
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_-LqgpHmaThQwoxrSpJbHi

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-daily-sum-series-missing-value-fill-eb791d13 -d '<json body>'
```

Example prompt: Take my business location inventory records — up to 200 rows with columns date, company_group, location_count, and verified_locations — and give me both a daily sum series and fill any missing location_count values using the median method.

## When to prefer this

Choose this endpoint when you need offline, deterministic daily aggregation and missing-value imputation for business location inventory data (location_count, verified_locations) without any external data lookups or predictions. It is ideal for cleaning and summarizing structured tabular location records up to 200 rows with a single low-cost call that returns two complementary analytical reports.

## Known failure modes

- Exceeds 200 row limit — request rejected or truncated
- Missing required fields (row_id, date, company_group) — validation error
- Invalid date format (must match YYYY-MM-DD pattern) — schema error
- Field or method enum value not recognized — schema rejection
- All values null for selected field — fill may produce degenerate output
- Numeric values outside allowed range — schema validation failure

## How this service works

Business location inventories — Daily sum series + Explicit missing-value fill: Daily sum series + Explicit missing-value fill 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 reports: (1) a daily sum series aggregating the selected metric (location_count or verified_locations) by date, and (2) a missing-value fill report that replaces nulls using the chosen method (zero, mean, or median), both computed locally without external lookups, covering up to 200 input rows.

## 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"
  },
  "method": {
   "enum": [
    "zero",
    "mean",
    "median"
   ],
   "type": "string",
   "default": "median"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/business-location-inventories-daily-sum-series-missing-value-fill-eb791d13/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)