# Inventory Administration — Category Frequencies + Secondary-Measure Weighted Mean

> Inventory Administration — Category Frequencies + Secondary-Measure Weighted Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-23).

Computes category frequency distributions and a secondary-measure weighted mean for up to 200 inventory administration records (count_sessions, discrepancy_count).

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-operations-21-109?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-23
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/inventory-administration-category-frequencies-secondary-measure-44892f20
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_TZu6OIUD4XN7AGLPykzSp

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-category-frequencies-secondary-measure-44892f20 -d '<json body>'
```

Example prompt: I have some inventory administration records with team groups, session counts, and discrepancy counts — can you run a category frequency report and a weighted mean of discrepancy_count for up to 200 rows? Here's the data: group-a had 10 sessions and 1 discrepancy on 2026-10-01, group-b had 20 sessions and 2 discrepancies on 2026-10-02.

## When to prefer this

Choose this endpoint when you need both a category frequency distribution and a weighted mean computed together on inventory administration data (count_sessions, discrepancy_count) in a single low-cost call. Ideal for batch analytical summaries of up to 200 records without requiring a live database connection or external data enrichment. Prefer over general analytics tools when working specifically with team_group-segmented inventory session and discrepancy data.

## Known failure modes

- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, team_group, date, count_sessions, discrepancy_count) causes schema rejection
- Invalid date format (not YYYY-MM-DD) fails pattern validation
- Null values in numeric fields may affect weighted mean calculation
- Submitting zero rows fails minItems constraint

## How this service works

Inventory administration — Category frequencies + Secondary-measure weighted mean: Category frequencies + Secondary-measure weighted mean 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) a category frequency table showing how often each team_group value appears across the supplied rows, and (2) a weighted mean of the selected secondary measure (count_sessions or discrepancy_count) across all supplied records. Both reports are computed locally from the submitted 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"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/inventory-administration-category-frequencies-secondary-measure-44892f20/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)