# Job Listing Inventories — Numeric Interval Filter + Adjacent Row Changes

> Job Listing Inventories — Numeric Interval Filter + 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 2026-10-23).

Filters job listing inventory rows by a numeric range and computes adjacent row changes for listing_count or duplicate_listings fields, returning two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-13-127?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-23
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/job-listing-inventories-numeric-interval-filter-adjacent-row-changes-59e32b34
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_E4E7mNMeS2ZKFtTMjAo7l

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-numeric-interval-filter-adjacent-row-changes-59e32b34 -d '<json body>'
```

Example prompt: I have a dataset of job listing inventory rows with listing_count and duplicate_listings — can you filter rows where listing_count is between 10 and 100, and also compute the adjacent row changes for that field? I'll supply up to 50 rows with row_id, company_group, and date fields.

## When to prefer this

Choose this endpoint when you have structured job listing inventory data in hand (up to 200 rows) and need both a numeric range filter and adjacent row change analysis in one call. It is ideal for offline/batch analytical workflows where no live data lookup, external enrichment, or prediction is needed — just deterministic computation on supplied records. Prefer it over general-purpose analytics tools when working specifically with listing_count or duplicate_listings fields and you want two bundled reports at low cost.

## Known failure modes

- Input array exceeds 200 rows — request will be rejected
- Missing required row fields (row_id, date, company_group, listing_count, duplicate_listings) cause validation errors
- Date field not matching YYYY-MM-DD pattern triggers schema error
- Minimum greater than maximum produces an empty or undefined interval result
- Null numeric values in the target field may be excluded or treated as zero in interval filtering

## How this service works

Job listing inventories — Numeric interval filter + Adjacent row changes: Numeric interval filter + 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

Returns two analytical reports: (1) the subset of input rows where the chosen field (listing_count or duplicate_listings) falls within the specified minimum–maximum interval, and (2) adjacent row change values showing the difference between consecutive rows for that field. Up to 200 input rows supported.

## 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"
  },
  "maximum": {
   "type": "number",
   "default": 100,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  },
  "minimum": {
   "type": "number",
   "default": 0,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/job-listing-inventories-numeric-interval-filter-adjacent-row-changes-59e32b34/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)