# Job Listing Inventories: String Normalisation & Adjacent Row Changes

> Job Listing Inventories: String Normalisation & Adjacent Row Changes 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).

Runs string normalisation and adjacent-row change detection on up to 200 rows of job listing inventory data (listing_count, duplicate_listings) and returns 2 analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-13-029?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-adjacent-row-changes-60635363
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_ka1a9YOoh7YNrIgSvy1bQ

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-adjacent-row-changes-60635363 -d '<json body>'
```

Example prompt: Can you run string normalisation and adjacent-row change detection on my job listing inventory records for group-a and group-b across October 2026 — I have listing_count and duplicate_listings fields and about 50 rows — and give me both reports?

## 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 adjacent-row change detection in a single $0.01 call, without requiring live data lookup, external enrichment, or predictions. Prefer it over general-purpose data tools when your data specifically contains listing_count and duplicate_listings fields grouped by company and date.

## Known failure modes

- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, date, company_group, listing_count, duplicate_listings) — validation error
- Invalid date format (must be YYYY-MM-DD) — schema validation failure
- row_id empty or exceeds 80 characters — rejected
- field enum value not 'listing_count' or 'duplicate_listings' — invalid parameter
- Payment not provided or insufficient — x402 payment required error

## How this service works

Job listing inventories — String normalisation + Adjacent row changes: String normalisation + Adjacent row changes 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

Two independent analytical reports: (1) a string normalisation report standardising text fields in the supplied rows, and (2) an adjacent-row changes report showing where consecutive rows differ in the selected numeric field (listing_count or duplicate_listings), covering up to 200 input rows processed locally without 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-string-normalisation-adjacent-row-changes-60635363/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)