# Inventory Administration — Equal-Width Histogram + Explicit Missing-Value Fill

> Inventory Administration — Equal-Width Histogram + Explicit 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 2026-10-25).

Computes an equal-width histogram and fills missing values for up to 200 inventory administration rows containing session count and discrepancy count fields, returning two local analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-operations-21-175?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-25
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/inventory-administration-equal-width-histogram-explicit-missing-value-92aad880
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_aE9pWlf5YlF1qALi_KHtS

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-equal-width-histogram-explicit-missing-value-92aad880 -d '<json body>'
```

Example prompt: I have 150 rows of inventory administration data with count_sessions and discrepancy_count fields — some values are missing. Can you run an equal-width histogram with 10 bins on count_sessions and fill the missing values using the median?

## When to prefer this

Choose this endpoint when you have tabular inventory administration data (up to 200 rows) with session counts and discrepancy counts, and you need both a frequency histogram for distribution insight and explicit missing-value imputation in a single call. Prefer it over general-purpose analytics tools when you want a low-cost, self-contained offline computation with no external data dependencies. It is not suitable for live data lookups, predictive modeling, or datasets exceeding 200 rows.

## Known failure modes

- Fewer than 1 or more than 200 rows submitted — request rejected
- bins value outside 1–30 range — validation error
- Invalid date format (not YYYY-MM-DD) in any row — schema validation failure
- All values in the chosen field are null — histogram cannot be computed
- Unknown fill method enum value — validation error
- Missing required fields (row_id, team_group, date) in any row — schema rejection

## How this service works

Inventory administration — Equal-width histogram + Explicit missing-value fill: Equal-width histogram + Explicit missing-value fill 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

Two analytical reports: (1) an equal-width histogram showing bin boundaries and row counts for the chosen numeric field across the specified number of bins, and (2) the same dataset with missing values in the chosen field explicitly filled using the selected strategy (zero, mean, or median). Both reports are computed locally from the supplied rows with no external lookups.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "bins": {
   "type": "integer",
   "default": 5,
   "maximum": 30,
   "minimum": 1
  },
  "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"
  },
  "method": {
   "enum": [
    "zero",
    "mean",
    "median"
   ],
   "type": "string",
   "default": "median"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/inventory-administration-equal-width-histogram-explicit-missing-value-92aad880/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)