# Job Listing Inventories — Grouped Numeric Summary + Category Frequencies

> Job Listing Inventories — Grouped Numeric Summary + Category Frequencies 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 a grouped numeric summary and category frequency report for listing_count or duplicate_listings fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-13-086?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-grouped-numeric-summary-category-frequencies-e2f07f11
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_7eEFTrpXfOyt37nBn0IKt

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-grouped-numeric-summary-category-frequencies-e2f07f11 -d '<json body>'
```

Example prompt: I have a set of job listing records with company groups, dates, listing counts, and duplicate listing counts — can you give me a grouped numeric summary and category frequency breakdown for the listing_count field across these rows?

## When to prefer this

Choose this endpoint when you have up to 200 rows of job listing inventory data and need both a grouped numeric summary and a category frequency report in a single call. It is ideal for lightweight, offline statistical analysis of job listing data segmented by company group without requiring any external data lookups or live predictions. Prefer it over general analytics platforms when cost-efficiency matters ($0.01 USDC for two reports) and data is already structured with company_group, date, listing_count, and duplicate_listings fields.

## Known failure modes

- Missing required fields (row_id, company_group, date, listing_count, duplicate_listings) cause validation errors
- More than 200 rows submitted exceeds the maxItems limit and will be rejected
- Invalid date format (not YYYY-MM-DD) fails pattern validation
- Numeric values outside the allowed range cause schema rejection
- Empty rows array is not permitted (minItems: 1)
- Invalid field enum value (anything other than listing_count or duplicate_listings) causes rejection

## How this service works

Job listing inventories — Grouped numeric summary + Category frequencies: Grouped numeric summary + Category frequencies 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 based on the supplied rows: (1) a grouped numeric summary (e.g., count, mean, min, max, sum) of the chosen numeric field (listing_count or duplicate_listings) broken down by company_group, and (2) a category frequency table showing how often each company_group appears in the dataset. Results are computed locally from 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-grouped-numeric-summary-category-frequencies-e2f07f11/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)