# Data Catalog Coverage — String Normalisation + Equal-Width Histogram

> Data Catalog Coverage — String Normalisation + Equal-Width Histogram 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 string normalisation and equal-width histogram analytics on data catalog coverage records (documented_fields, total_fields) for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-21-031?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-equal-width-histogram-ecdcd9c5
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_VoOUCJq5avlLw2GYQ09Nk

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-equal-width-histogram-ecdcd9c5 -d '<json body>'
```

Example prompt: Take my data catalog coverage records — 4 rows with row IDs row-1 through row-4, dataset groups group-a and group-b, documented_fields values 10, 20, 15, 30, and total_fields 1, 2, 3, 4 — and run string normalisation plus a 5-bin equal-width histogram on the documented_fields column.

## When to prefer this

Choose this endpoint when you need fast, local string normalisation and frequency histogram analytics specifically on data catalog coverage fields (documented_fields, total_fields) without any external data lookup or ML prediction. It is ideal for data governance teams wanting a quick distribution snapshot of field documentation rates across dataset groups, especially when working with up to 200 rows and needing two complementary analytical views in a single low-cost call.

## Known failure modes

- More than 200 rows submitted — request rejected or truncated
- Missing required row fields (row_id, documented_fields, total_fields, date, dataset_group) — validation error
- bins value outside 1–30 range — schema validation failure
- Null values in numeric fields may affect histogram bin boundaries
- Invalid date format (not YYYY-MM-DD) — pattern validation error
- Payment not completed — endpoint returns 402 status

## How this service works

Data catalog coverage — String normalisation + Equal-width histogram: String normalisation + Equal-width histogram 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 sharing the same input rows: (1) a string normalisation report for the selected field, cleaning and standardising text/numeric representations; and (2) an equal-width histogram report dividing the field's value range into the requested number of bins with counts per bin. Both reports cover up to 200 supplied rows and are computed locally without external lookups.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "bins": {
   "type": "integer",
   "default": 5,
   "maximum": 30,
   "minimum": 1
  },
  "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-equal-width-histogram-ecdcd9c5/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)