# Job Listing Inventories — Numeric Distribution + Explicit Missing-Value Fill

> Job Listing Inventories — Numeric Distribution + 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 2026-10-19).

Computes numeric distribution statistics and fills missing values (zero, mean, or median) for job listing inventory data (listing_count, duplicate_listings) across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-13-085?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-19
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/job-listing-inventories-numeric-distribution-explicit-missing-value-5db642b0
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_nZgEhQemMFPiqWL1AVQCx

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 job-listing-inventories-numeric-distribution-explicit-missing-value-5db642b0 -d '<json body>'
```

Example prompt: Analyze my job listing inventory data and fill in any missing listing_count values using the median — here are 4 rows: row-1, group-a, 2026-10-01, listing_count=10, duplicate_listings=1; row-2, group-b, 2026-10-02, listing_count=null, duplicate_listings=2; row-3, group-a, 2026-10-03, listing_count=15, duplicate_listings=null; row-4, group-b, 2026-10-04, listing_count=30, duplicate_listings=4.

## When to prefer this

Choose this endpoint when you have tabular job listing inventory data (listing_count, duplicate_listings) and need both a numeric distribution summary and missing-value imputation in a single call, without any live data lookup, prediction, or external integration. It is ideal for data cleaning and exploratory analysis pipelines on small-to-medium datasets (up to 200 rows) where a flat-rate cost of $0.01 USDC for two reports is acceptable.

## Known failure modes

- More than 200 rows submitted — request exceeds maxItems limit
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Unknown field or method enum value causes rejection
- All values for the selected field are null, making mean/median undefined
- Empty rows array (minItems: 1 not met) causes validation error

## How this service works

Job listing inventories — Numeric distribution + Explicit missing-value fill: Numeric distribution + Explicit missing-value fill for supplied job listing inventories records (listing_count, duplicate_listings). 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 analytical reports: (1) a numeric distribution summary (e.g. min, max, mean, median, percentiles) for the selected field across the supplied rows, and (2) an explicit missing-value fill report showing which rows had null values and what replacement values were applied using the chosen method (zero, mean, or median).

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "company_group",
     "date",
     "listing_count",
     "duplicate_listings"
    ],
    "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
     },
     "listing_count": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "duplicate_listings": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "company_group": "group-a",
     "listing_count": 10,
     "duplicate_listings": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "company_group": "group-b",
     "listing_count": 20,
     "duplicate_listings": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "company_group": "group-a",
     "listing_count": 15,
     "duplicate_listings": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "company_group": "group-b",
     "listing_count": 30,
     "duplicate_listings": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "listing_count",
    "duplicate_listings"
   ],
   "type": "string",
   "default": "listing_count"
  },
  "method": {
   "enum": [
    "zero",
    "mean",
    "median"
   ],
   "type": "string",
   "default": "median"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/job-listing-inventories-numeric-distribution-explicit-missing-value-5db642b0/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)