# Job Listing Inventories — Exact Row Deduplication + Base-100 Series

> Job Listing Inventories — Exact Row Deduplication + Base-100 Series 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).

Deduplicates job listing inventory rows and generates a Base-100 index series for listing_count or duplicate_listings metrics across up to 200 supplied rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-13-047?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-exact-row-deduplication-base-100-series-be34ed99
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_JFCFkePAPmB7qj4FH4s30

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-exact-row-deduplication-base-100-series-be34ed99 -d '<json body>'
```

Example prompt: I have job listing inventory records for two company groups over four dates — can you deduplicate the rows exactly and also build a Base-100 index series for listing_count starting from row index 0? Here are the rows: row-1, 2026-10-01, group-a, listing_count=10, duplicate_listings=1; row-2, 2026-10-02, group-b, listing_count=20, duplicate_listings=2; row-3, 2026-10-03, group-a, listing_count=15, duplicate_listings=3; row-4, 2026-10-04, group-b, listing_count=30, duplicate_listings=4.

## When to prefer this

Choose this endpoint when you need both exact row deduplication and a Base-100 normalization index for job listing inventory data in a single low-cost call ($0.01 USDC). It is ideal for data quality checks before pipeline ingestion, trend analysis relative to a baseline period, or quick audits of listing count datasets up to 200 rows. Prefer it over general-purpose deduplication tools when your data specifically contains listing_count and duplicate_listings fields and you want both reports simultaneously without any external data lookups or live predictions.

## Known failure modes

- Exceeding 200 rows causes rejection — input must be trimmed to maxItems: 200
- Missing required fields (row_id, company_group, date, listing_count, duplicate_listings) on any row causes validation failure
- Invalid date format (not YYYY-MM-DD) triggers schema validation error
- base_index out of range (0–199) or exceeding the number of supplied rows causes an error
- Null values in the target field may affect Base-100 index calculation
- Payment failure or insufficient USDC balance prevents processing

## How this service works

Job listing inventories — Exact row deduplication + Base-100 series: Exact row deduplication + Base-100 series 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: (1) an exact row deduplication report identifying and removing fully identical rows from the supplied job listing inventory data, and (2) a Base-100 index series for the chosen field (listing_count or duplicate_listings), normalizing values relative to the chosen base row index. Both reports operate entirely on 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"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/job-listing-inventories-exact-row-deduplication-base-100-series-be34ed99/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)