# Data Catalog Coverage — Exact Row Deduplication + Numeric Distribution

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

Runs exact row deduplication and numeric distribution analysis on data catalog coverage records (documented_fields, total_fields) for up to 200 rows, returning two analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-21-039?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-distribution-9456a994
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_ABktRXpaLHnPNy8IibwkH

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-distribution-9456a994 -d '<json body>'
```

Example prompt: Can you deduplicate these data catalog coverage records and show me the numeric distribution of documented_fields? I have about 50 rows with row_id, dataset_group, date, documented_fields, and total_fields columns.

## When to prefer this

Choose this endpoint when you need both exact duplicate detection and numeric distribution profiling on data catalog coverage records in a single paid call. It is ideal for data governance workflows where you want to audit field documentation completeness across dataset groups without requiring external services, ML predictions, or live database lookups. Best suited for batch analytical jobs on up to 200 rows of structured catalog metadata.

## Known failure modes

- Input exceeds 200 rows — request will be rejected or truncated
- Missing required fields (row_id, dataset_group, date, documented_fields, total_fields) cause validation errors
- Invalid date format (non-YYYY-MM-DD) triggers schema validation failure
- Null numeric values in documented_fields or total_fields may affect distribution statistics
- Empty rows array rejected by minItems:1 constraint
- field enum value outside ['documented_fields','total_fields'] causes rejection

## How this service works

Data catalog coverage — Exact row deduplication + Numeric distribution: Exact row deduplication + Numeric distribution 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 independent analytical reports: (1) an exact row deduplication report identifying identical rows across the supplied data catalog coverage records, and (2) a numeric distribution report for the selected field (documented_fields or total_fields), including statistical summaries such as min, max, mean, and frequency breakdown — all computed 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-distribution-9456a994/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)