# Data Catalog Coverage — Exact Row Deduplication + Numeric Row Ordering

> Data Catalog Coverage — Exact Row Deduplication + Numeric Row Ordering 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).

Deduplicates rows and numerically orders records from data catalog coverage data (documented_fields, total_fields) for up to 200 rows, returning 2 analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-21-042?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/data-catalog-coverage-exact-row-deduplication-numeric-row-ordering-5062806e
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_lVbDDjsW0D7Gq6lMAjP5f

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 data-catalog-coverage-exact-row-deduplication-numeric-row-ordering-5062806e -d '<json body>'
```

Example prompt: Deduplicate and numerically sort my data catalog coverage records by documented_fields — I have rows with row_id, dataset_group, date, documented_fields, and total_fields, up to 200 rows, and I need both the deduplication and ordering reports.

## When to prefer this

Choose this endpoint when you need lightweight, local analytical processing of data catalog coverage records specifically — exact deduplication and numeric sorting of documented_fields/total_fields — without any external lookups, ML predictions, or live data enrichment. Ideal for data governance workflows needing fast, deterministic cleaning and ordering of up to 200 catalog coverage rows at minimal cost.

## Known failure modes

- Missing required fields (row_id, dataset_group, date, documented_fields, total_fields) cause validation errors
- Input array exceeding 200 rows is rejected
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Non-numeric values in documented_fields or total_fields (when not null) may cause ordering issues
- Empty rows array is rejected (minItems: 1)

## How this service works

Data catalog coverage — Exact row deduplication + Numeric row ordering: Exact row deduplication + Numeric row ordering for supplied data catalog coverage records (documented_fields, total_fields). 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) an exact row deduplication report identifying and removing duplicate rows, and (2) a numeric row ordering report sorting rows by the selected field (documented_fields or total_fields), all processed locally without external lookups.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "dataset_group",
     "date",
     "documented_fields",
     "total_fields"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "total_fields": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "dataset_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "documented_fields": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "total_fields": 1,
     "dataset_group": "group-a",
     "documented_fields": 10
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "total_fields": 2,
     "dataset_group": "group-b",
     "documented_fields": 20
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "total_fields": 3,
     "dataset_group": "group-a",
     "documented_fields": 15
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "total_fields": 4,
     "dataset_group": "group-b",
     "documented_fields": 30
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "documented_fields",
    "total_fields"
   ],
   "type": "string",
   "default": "documented_fields"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/data-catalog-coverage-exact-row-deduplication-numeric-row-ordering-5062806e/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)