# Inventory Administration — Numeric Interval Filter + Date by Category Pivot

> Inventory Administration — Numeric Interval Filter + Date by Category Pivot is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-30).

Filters inventory administration rows by a numeric interval on a chosen field and produces a date-by-category pivot table, returning two analytical reports for up to 200 supplied rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-operations-21-133?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-30
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/inventory-administration-numeric-interval-filter-date-by-category-pivot-5f9116ac
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_o0sHdo7p0d-yZrnjMbmPc

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 inventory-administration-numeric-interval-filter-date-by-category-pivot-5f9116ac -d '<json body>'
```

Example prompt: Take my inventory records for team groups alpha and beta from October 2026 — with fields row_id, team_group, date, count_sessions, and discrepancy_count — and give me two reports: first, filter rows where count_sessions is between 10 and 25, and second, pivot the discrepancy_count by date and team group.

## When to prefer this

Choose this endpoint when you have up to 200 inventory administration records in hand and need both a numeric range filter (to isolate rows within a specific count window) and a date-by-category pivot table in a single paid call. It is ideal for operations or inventory analysts who want two complementary views — filtered detail rows plus a cross-tabulated summary — without writing custom code or standing up a database. Prefer it over general-purpose analytics APIs when your data is already structured with row_id, team_group, date, count_sessions, and discrepancy_count fields and you want reproducible, local computation at low cost.

## Known failure modes

- Rows array is empty or missing — returns validation error
- More than 200 rows supplied — request rejected at max limit
- minimum value exceeds maximum value — may return empty filter result or error
- Invalid date format (not YYYY-MM-DD) in any row — schema validation failure
- Unknown field enum value provided — rejected by schema
- Null numeric values may be excluded from interval filtering
- Payment of 0.01 USDC not confirmed — request not processed

## How this service works

Inventory administration — Numeric interval filter + Date by category pivot: Numeric interval filter + Date by category pivot for supplied inventory administration records (count_sessions, discrepancy_count). 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 independent analytical reports: (1) rows from the supplied dataset whose chosen numeric field (count_sessions or discrepancy_count) falls within the specified minimum–maximum interval, and (2) a pivot table cross-tabulating the chosen numeric field by date and team_group category. Both reports are computed locally from the caller-supplied data with no external lookups.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "team_group",
     "date",
     "count_sessions",
     "discrepancy_count"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "team_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "count_sessions": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "discrepancy_count": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "team_group": "group-a",
     "count_sessions": 10,
     "discrepancy_count": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "team_group": "group-b",
     "count_sessions": 20,
     "discrepancy_count": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "team_group": "group-a",
     "count_sessions": 15,
     "discrepancy_count": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "team_group": "group-b",
     "count_sessions": 30,
     "discrepancy_count": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "count_sessions",
    "discrepancy_count"
   ],
   "type": "string",
   "default": "count_sessions"
  },
  "maximum": {
   "type": "number",
   "default": 100,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  },
  "minimum": {
   "type": "number",
   "default": 0,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/inventory-administration-numeric-interval-filter-date-by-category-pivot-5f9116ac/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)