# Job Listing Inventories — Two-Measure Correlation + Date by Category Pivot

> Job Listing Inventories — Two-Measure Correlation + 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 2026-10-15).

Computes a two-measure Pearson/rank correlation and a date-by-category pivot table for supplied job listing inventory records (listing_count, duplicate_listings) across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-13-182?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/job-listing-inventories-two-measure-correlation-date-by-category-pivot-32348255
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_3we1LKmVsMNbCyWaM8zS2

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-two-measure-correlation-date-by-category-pivot-32348255 -d '<json body>'
```

Example prompt: I have job listing inventory data for two company groups across several dates — can you run a correlation between listing_count and duplicate_listings, and also pivot the listing_count by date and company group? Here are my rows: [{"row_id":"r1","company_group":"group-a","date":"2026-10-01","listing_count":10,"duplicate_listings":1},{"row_id":"r2","company_group":"group-b","date":"2026-10-02","listing_count":20,"duplicate_listings":2}].

## When to prefer this

Choose this endpoint when you have tabular job listing inventory data (up to 200 rows) with listing_count and duplicate_listings fields and need both a correlation between those two measures AND a date-by-category pivot in a single $0.01 call. It is ideal for offline/batch analytical use cases where no live job board lookup, prediction, or external action is needed — just statistical summarization of data you already have.

## Known failure modes

- Fewer than 1 row or more than 200 rows submitted — request rejected
- Missing required fields (row_id, company_group, date, listing_count, duplicate_listings) — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Null values in both measure columns may reduce correlation validity
- Payment of 0.01 USDC not confirmed via x402 — 402 Payment Required response
- field enum value not one of listing_count or duplicate_listings — rejected

## How this service works

Job listing inventories — Two-measure correlation + Date by category pivot: Two-measure correlation + Date by category pivot 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 independent analytical reports: (1) a two-measure correlation result showing the statistical relationship between listing_count and duplicate_listings across the supplied rows, and (2) a date-by-category pivot table aggregating the selected field (listing_count or duplicate_listings) broken down by date and company_group. Both reports are computed locally on the supplied data with no external lookups.

## 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"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/job-listing-inventories-two-measure-correlation-date-by-category-pivot-32348255/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)