# Job Listing Inventories — Adjacent Row Changes + Date by Category Pivot

> Job Listing Inventories — Adjacent Row Changes + 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 2026-10-19).

Computes adjacent row changes and a date-by-category pivot table 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-13-160?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-adjacent-row-changes-date-by-category-pivot-428f1c36
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_FrUo0G9oAp8nR6_KdMBMK

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-adjacent-row-changes-date-by-category-pivot-428f1c36 -d '<json body>'
```

Example prompt: I have a dataset of job listing inventory rows with listing_count and duplicate_listings per company group and date — can you run both an adjacent row changes report and a date-by-category pivot on the listing_count field for these up to 200 records?

## When to prefer this

Choose this endpoint when you need two specific analytical reports — adjacent row-to-row differences and a date-by-category pivot — on job listing inventory data (listing_count or duplicate_listings) supplied by the caller. It is ideal for offline, reproducible batch analysis of up to 200 records without any external data dependencies. Prefer it over general-purpose analytics tools when cost certainty ($0.01 USDC for both reports) and schema-constrained inputs are acceptable.

## Known failure modes

- Input array exceeds 200 rows — request will be rejected or truncated
- Missing required fields (row_id, date, company_group, listing_count, duplicate_listings) cause validation errors
- Invalid date format (not YYYY-MM-DD) triggers schema validation failure
- Null numeric values may produce gaps or nulls in computed deltas
- Selecting a field not in the enum ('listing_count' or 'duplicate_listings') causes an error
- Fewer than 1 row provided causes a minItems validation failure

## How this service works

Job listing inventories — Adjacent row changes + Date by category pivot: Adjacent row changes + 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 analytical reports: (1) an adjacent row changes report showing value differences between consecutive rows for the selected field, and (2) a date-by-category pivot table cross-tabulating the selected field (listing_count or duplicate_listings) by date and company_group. No external data is fetched; all computation is performed on the supplied rows.

## 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-adjacent-row-changes-date-by-category-pivot-428f1c36/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)