# Warehouse Bins — Numeric Interval Filter + Explicit Missing-Value Fill

> Warehouse Bins — Numeric Interval Filter + 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 2026-10-31).

Filters warehouse bin records by a numeric interval on occupied_volume or available_volume, then fills missing values using zero, mean, or median imputation — returning two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-retail-13-135?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-31
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/warehouse-bins-numeric-interval-filter-explicit-missing-value-fill-6ee6089e
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_vyDtSiLNV907WpEd0KrYz

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 warehouse-bins-numeric-interval-filter-explicit-missing-value-fill-6ee6089e -d '<json body>'
```

Example prompt: I have 150 warehouse bin records with some null occupied_volume entries — can you fill the missing values using median imputation and then filter to only the rows where occupied_volume is between 0 and 500, targeting the occupied_volume field?

## When to prefer this

Choose this endpoint when you have up to 200 warehouse bin records with occupied_volume or available_volume data and need both numeric interval filtering and missing-value imputation in a single call at low cost ($0.01 USDC for two reports). It is ideal for batch preprocessing of warehouse bin data before downstream reporting, when no live data lookup or prediction is needed and the analysis can run on supplied data alone.

## Known failure modes

- Empty or missing rows array returns a validation error
- Row count exceeding 200 items triggers a max-items rejection
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Minimum value greater than maximum value may produce zero matching rows
- Unrecognized method value outside zero/mean/median enum causes rejection
- Missing required fields (row_id, store_group, date) per row cause item-level validation errors

## How this service works

Warehouse bins — Numeric interval filter + Explicit missing-value fill: Numeric interval filter + Explicit missing-value fill for supplied warehouse bins records (occupied_volume, available_volume). 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 derived from the submitted warehouse bin records: one reflecting the interval-filtered rows (where the chosen field falls within the specified minimum and maximum), and one with missing values in the target field replaced using the chosen fill method (zero, mean, or median). Results are computed locally without external lookup.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "store_group",
     "date",
     "occupied_volume",
     "available_volume"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "store_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "occupied_volume": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "available_volume": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "store_group": "group-a",
     "occupied_volume": 10,
     "available_volume": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "store_group": "group-b",
     "occupied_volume": 20,
     "available_volume": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "store_group": "group-a",
     "occupied_volume": 15,
     "available_volume": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "store_group": "group-b",
     "occupied_volume": 30,
     "available_volume": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "occupied_volume",
    "available_volume"
   ],
   "type": "string",
   "default": "occupied_volume"
  },
  "method": {
   "enum": [
    "zero",
    "mean",
    "median"
   ],
   "type": "string",
   "default": "median"
  },
  "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/warehouse-bins-numeric-interval-filter-explicit-missing-value-fill-6ee6089e/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)