# Data Catalog Coverage — String Normalisation + Grouped Numeric Summary

> Data Catalog Coverage — String Normalisation + Grouped Numeric Summary 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).

Normalises string fields and produces a grouped numeric summary for data catalog coverage records (documented_fields, total_fields) across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-21-023?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-string-normalisation-grouped-numeric-summary-60a9e900
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_1isLaayTrTszOTV4KJs4S

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-string-normalisation-grouped-numeric-summary-60a9e900 -d '<json body>'
```

Example prompt: Can you normalise the dataset group names and give me a grouped numeric summary of documented_fields across these catalog coverage rows? I have about 80 records with row_id, dataset_group, date, documented_fields, and total_fields — I want both the string normalisation and grouped stats reports in one shot.

## When to prefer this

Choose this endpoint when you need both string normalisation of categorical labels and grouped numeric aggregation for data catalog coverage data in a single low-cost call. It is best suited for offline/batch analytical reporting on up to 200 rows of field documentation coverage records without needing live data lookups, predictions, or external integrations.

## Known failure modes

- Fewer than 1 row or more than 200 rows submitted — request rejected
- Missing required fields (row_id, dataset_group, date, documented_fields, total_fields) in any row — validation error
- date field does not match YYYY-MM-DD pattern — schema validation failure
- Numeric fields outside allowed range (-1e12 to 1e12) — rejected
- Invalid field enum value (must be 'documented_fields' or 'total_fields') — error returned
- Payment of 0.01 USDC not provided or declined — 402 Payment Required

## How this service works

Data catalog coverage — String normalisation + Grouped numeric summary: String normalisation + Grouped numeric summary 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 reports sharing local analytical engines: (1) a string normalisation report on the dataset_group field, and (2) a grouped numeric summary of the selected numeric field (documented_fields or total_fields) aggregated by dataset_group — including statistics such as counts, means, or sums per group. No external lookups or predictions are made.

## 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-string-normalisation-grouped-numeric-summary-60a9e900/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)