# Business Location Inventories — Daily Sum Series + Adjacent Row Changes

> Business Location Inventories — Daily Sum Series + Adjacent Row Changes 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 time series and adjacent row changes for business location inventory data (location_count, verified_locations) across up to 200 rows, returning two analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-05-137?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-adjacent-row-changes-0f63ad0e
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_BS7-_YK6FzbCFO496NDO5

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-adjacent-row-changes-0f63ad0e -d '<json body>'
```

Example prompt: I have a batch of business location inventory records with dates, company groups, location counts, and verified locations — can you run a daily sum series and adjacent row changes report on them for the location_count field?

## When to prefer this

Choose this endpoint when you have up to 200 rows of business location inventory data and need both a daily aggregated sum series and consecutive-row delta analysis in a single call for a fixed cost of $0.01 USDC. It is ideal for offline/batch analytical workflows where no live data lookup, prediction, or external enrichment is needed — just fast, local computation on your supplied dataset.

## Known failure modes

- Missing required fields (row_id, date, company_group) cause validation errors
- Date strings not matching YYYY-MM-DD pattern are rejected
- More than 200 rows submitted exceeds the maxItems limit and will be rejected
- Null numeric values may affect sum and change computations depending on handling
- Submitting an invalid field enum value (not location_count or verified_locations) causes a schema error
- Empty rows array is rejected due to minItems constraint

## How this service works

Business location inventories — Daily sum series + Adjacent row changes: Daily sum series + Adjacent row changes 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 per call: (1) a daily sum series aggregating the selected field (location_count or verified_locations) across all rows by date, and (2) an adjacent row changes report showing the difference between consecutive rows for the selected field. Results are computed locally from the supplied 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"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/business-location-inventories-daily-sum-series-adjacent-row-changes-0f63ad0e/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)