# Job Listing Inventories — Category Frequencies + Numeric Row Ordering

> Job Listing Inventories — Category Frequencies + Numeric Row Ordering 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).

Analyzes supplied job listing inventory records to produce category frequency counts and numeric row ordering across up to 200 rows in two independent reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-13-100?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-category-frequencies-numeric-row-ordering-71e7d1ef
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_yZuak0FTD2aAujLMCCsgX

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-category-frequencies-numeric-row-ordering-71e7d1ef -d '<json body>'
```

Example prompt: Analyze these job listing inventory records — I have rows with company_group, date, listing_count, and duplicate_listings — and give me two reports: one showing how often each company group appears (category frequencies) and one ranking the rows numerically by listing_count. Here are my rows: [{"row_id":"r1","company_group":"TechCorp","date":"2024-01-15","listing_count":120,"duplicate_listings":5},{"row_id":"r2","company_group":"RetailCo","date":"2024-01-16","listing_count":80,"duplicate_listings":2}].

## When to prefer this

Choose this endpoint when you have a batch of job listing inventory records (up to 200 rows) and need both a category frequency breakdown by company group and a numeric ranking of rows by a chosen metric in a single low-cost call ($0.01 USDC). It is purely local and analytical — no external data, predictions, or live lookups — making it ideal for offline audits, pre-report checks, and lightweight summarization of HR or job board datasets.

## Known failure modes

- Submitting more than 200 rows returns an error or truncates input
- Missing required fields (row_id, company_group, date, listing_count, duplicate_listings) causes validation failure
- Invalid date format (not YYYY-MM-DD) triggers schema rejection
- Selecting a field value outside the allowed enum (listing_count, duplicate_listings) returns an error
- All-null numeric values for the selected field may produce empty or degenerate ordering output

## How this service works

Job listing inventories — Category frequencies + Numeric row ordering: Category frequencies + Numeric row ordering 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 category frequency table showing how often each company_group value appears across the submitted rows, and (2) a numeric row ordering ranking all submitted rows by the selected numeric field (listing_count or duplicate_listings). Covers up to 200 input rows using local analytical engines 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-category-frequencies-numeric-row-ordering-71e7d1ef/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)