# Data Catalog Coverage — String Normalisation + Trailing Mean Series

> Data Catalog Coverage — String Normalisation + Trailing Mean Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-23).

Applies string normalisation and computes a trailing mean series 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-21-028?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-trailing-mean-series-60e5f72e
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_CZdyqxvIny0UNpjjjh0Va

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-trailing-mean-series-60e5f72e -d '<json body>'
```

Example prompt: Can you normalise the dataset group names and calculate a trailing mean series with a window of 3 for the documented_fields column across my catalog coverage rows — I have about 50 records spanning October 2026, each with a row_id, dataset_group, date, documented_fields, and total_fields?

## When to prefer this

Choose this endpoint when you need both string normalisation of catalog group labels and a rolling/trailing mean series for catalog coverage metrics (documented_fields or total_fields) in a single paid call. It is ideal for data governance pipelines, data quality dashboards, or exploratory analysis of field documentation completeness trends where you want pre-packaged, local analytical computation without any external lookup or live data dependency.

## Known failure modes

- Fewer than 1 row submitted — validation error
- More than 200 rows submitted — request rejected
- Window size smaller than 2 or larger than 200 — validation error
- Invalid date format (non-YYYY-MM-DD) — schema validation failure
- Numeric field values outside ±1,000,000,000,000 — rejected
- Missing required fields (row_id, date, dataset_group, documented_fields, total_fields) — validation error
- Payment not included or insufficient — x402 payment required response

## How this service works

Data catalog coverage — String normalisation + Trailing mean series: String normalisation + Trailing mean series 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: (1) a string-normalised version of the submitted catalog coverage records (standardising dataset_group and related string fields), and (2) a trailing mean series computed over the selected numeric field (documented_fields or total_fields) using the specified rolling window, covering up to 200 input rows.

## 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"
  },
  "window": {
   "type": "integer",
   "default": 2,
   "maximum": 200,
   "minimum": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/data-catalog-coverage-string-normalisation-trailing-mean-series-60e5f72e/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)