# Data Catalog Coverage — Exact Row Deduplication + Secondary-Measure Weighted Mean

> Data Catalog Coverage — Exact Row Deduplication + Secondary-Measure Weighted Mean 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 computes a secondary-measure weighted mean for data catalog coverage records (documented_fields, total_fields) across up to 200 rows in two independent reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-21-051?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-secondary-measure-3f6f6c23
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_tYRbbj8IIkLPtHn0asjxr

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-secondary-measure-3f6f6c23 -d '<json body>'
```

Example prompt: Can you deduplicate these catalog coverage records and give me a weighted mean of documented_fields? I have 4 rows across two groups — group-a and group-b — with dates ranging from 2026-10-01 to 2026-10-04, and I want to analyze the documented_fields metric.

## When to prefer this

Choose this endpoint when you need both exact row deduplication and a weighted mean computation on data catalog coverage metrics (documented_fields, total_fields) in a single low-cost call. It is ideal for small to medium catalog datasets (up to 200 rows) where you want local analytical processing without external lookups, predictions, or live data access. Prefer alternatives if you need more than 200 rows, live data enrichment, or metrics beyond field coverage.

## Known failure modes

- More than 200 rows submitted — request exceeds maxItems limit
- Missing required fields (row_id, date, dataset_group) causes validation error
- Invalid date format (non-YYYY-MM-DD) rejected by pattern validation
- Null values in both documented_fields and total_fields may affect weighted mean computation
- Field enum value other than 'documented_fields' or 'total_fields' causes schema rejection

## How this service works

Data catalog coverage — Exact row deduplication + Secondary-measure weighted mean: Exact row deduplication + Secondary-measure weighted mean 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

Two independent analytical reports: (1) exact row deduplication results showing which rows were removed and the cleaned dataset, and (2) a secondary-measure weighted mean computed over the specified field (documented_fields or total_fields) across the supplied rows, up to 200 rows total.

## 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-secondary-measure-3f6f6c23/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)