# Catalog Completeness — Record Quality Audit + String Normalisation

> Catalog Completeness — Record Quality Audit + String Normalisation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-26).

Audits catalog completeness records for data quality and normalises strings, producing two analytical reports (quality audit + string normalisation) for up to 200 rows of populated_fields/required_fields data.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-retail-10-001?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-26
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/catalog-completeness-record-quality-audit-string-normalisation-b0bbd2f2
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_cGtgdxZWqjrV2oSEfJmWx

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 catalog-completeness-record-quality-audit-string-normalisation-b0bbd2f2 -d '<json body>'
```

Example prompt: Can you audit the quality of these catalog completeness records and normalise the strings? I have up to 50 rows with store group, date, populated_fields, and required_fields columns — I need both a record quality audit report and a string normalisation report back.

## When to prefer this

Choose this endpoint when you need a combined record quality audit and string normalisation report on catalog completeness data (populated_fields vs required_fields) for up to 200 rows, without requiring any live lookups, external predictions, or professional assessments. It is cost-effective at $0.01 USDC for both reports simultaneously and is best suited for retail or e-commerce catalog governance workflows where batch offline analysis is sufficient.

## Known failure modes

- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, store_group, date, populated_fields, required_fields) causes row-level rejection
- Invalid date format (non-YYYY-MM-DD) triggers schema validation failure
- Numeric values for populated_fields or required_fields outside allowed range cause rejection
- Empty rows array returns an error
- Payment failure (insufficient USDC) blocks request processing

## How this service works

Catalog completeness — Record quality audit + String normalisation: Record quality audit + String normalisation for supplied catalog completeness records (populated_fields, required_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 analytical reports generated locally from the submitted rows: (1) a record quality audit report assessing the completeness and integrity of each row's populated_fields vs required_fields values, and (2) a string normalisation report cleaning and standardising string fields such as store_group and row_id. No external lookups or live data are used; all analysis is performed on the supplied data up to 200 rows.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "store_group",
     "date",
     "populated_fields",
     "required_fields"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "store_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "required_fields": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "populated_fields": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "store_group": "group-a",
     "required_fields": 1,
     "populated_fields": 10
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "store_group": "group-b",
     "required_fields": 2,
     "populated_fields": 20
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "store_group": "group-a",
     "required_fields": 3,
     "populated_fields": 15
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "store_group": "group-b",
     "required_fields": 4,
     "populated_fields": 30
    }
   ],
   "maxItems": 200,
   "minItems": 1
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/catalog-completeness-record-quality-audit-string-normalisation-b0bbd2f2/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)