# Job Listing Inventories — String Normalisation + Two-Measure Correlation

> Job Listing Inventories — String Normalisation + Two-Measure Correlation 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 computes two-measure (listing_count vs duplicate_listings) correlation reports for up to 200 rows of job listing inventory data.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-13-033?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-two-measure-correlation-36649053
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_cGh8LKFYncEWRyYN9xhNl

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-two-measure-correlation-36649053 -d '<json body>'
```

Example prompt: Run string normalisation and a two-measure correlation report on these job listing inventory rows — I have up to 4 records with company groups like 'group-a' and 'group-b', each with a date, listing_count, and duplicate_listings value, and I need both analytical reports back.

## When to prefer this

Choose this endpoint when you have structured job listing inventory data with listing_count and duplicate_listings columns and need both string normalisation and a statistical correlation between those two measures in a single call, without requiring external data sources or live lookups. It is best suited for small-to-medium batches (up to 200 rows) of pre-collected job board data at minimal cost.

## Known failure modes

- Empty or missing rows array returns validation error
- More than 200 rows submitted exceeds limit and is rejected
- Malformed date strings not matching YYYY-MM-DD pattern cause schema validation failure
- Null values in both listing_count and duplicate_listings for all rows may prevent meaningful correlation
- Missing required fields (row_id) causes rejection
- Payment of 0.01 USDC not included or incorrect causes 402 error

## How this service works

Job listing inventories — String normalisation + Two-measure correlation: String normalisation + Two-measure correlation 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: one covering string normalisation applied to the supplied job listing inventory records, and one covering the correlation between the listing_count and duplicate_listings measures across up to 200 submitted rows. No external lookups or predictions are made; all analysis is performed locally on the supplied 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
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/job-listing-inventories-string-normalisation-two-measure-correlation-36649053/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)