# Job Listing Inventories — String Normalisation + Grouped Numeric Summary

> Job Listing Inventories — String Normalisation + Grouped Numeric Summary 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).

Normalises strings and produces a grouped numeric summary report for up to 200 job listing inventory rows, covering listing_count and duplicate_listings fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-13-023?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-string-normalisation-grouped-numeric-summary-3b44c7d2
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_EKgNeNYooWx7MOO9ddK_M

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-string-normalisation-grouped-numeric-summary-3b44c7d2 -d '<json body>'
```

Example prompt: Can you run string normalisation and a grouped numeric summary on these job listing inventory records — I have 4 rows with company groups 'group-a' and 'group-b', dates from 2026-10-01 to 2026-10-04, listing_count values of 10, 20, 15, and 30, and duplicate_listings of 1, 2, 3, and 4 — analyse the listing_count field?

## When to prefer this

Choose this endpoint when you have structured job listing inventory tabular data (up to 200 rows) and need both string normalisation and a grouped numeric summary in a single call without any external data lookups, live predictions, or professional assessments. Ideal for offline batch analytics on recruitment or job board datasets grouped by company.

## Known failure modes

- More than 200 rows submitted — request rejected
- Missing required fields (row_id, company_group, date, listing_count, or duplicate_listings) — validation error
- Invalid date format (must match YYYY-MM-DD) — schema validation failure
- Numeric values outside allowed range — rejected
- Invalid field enum value (not listing_count or duplicate_listings) — error
- Empty rows array — rejected

## How this service works

Job listing inventories — String normalisation + Grouped numeric summary: String normalisation + Grouped numeric summary 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 string normalisation report cleaning and standardising string fields in the submitted rows, and (2) a grouped numeric summary aggregating the selected numeric field (listing_count or duplicate_listings) by company_group — covering up to 200 input rows with no external lookups or live data.

## 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-string-normalisation-grouped-numeric-summary-3b44c7d2/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)