# Company Record Completeness — Record Quality Audit + String Normalisation + Date by Category Pivot

> Company Record Completeness — Record Quality Audit + String Normalisation + Date by Category Pivot is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-19).

Runs three local analytical reports (record quality audit, string normalisation, and date-by-category pivot) on up to 200 company record completeness rows containing populated_fields and required_fields data.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-01-206?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-19
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/company-record-completeness-record-quality-audit-string-normalisation-5af41372
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_4xOi4nBBdAOBTCgannmOv

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 company-record-completeness-record-quality-audit-string-normalisation-5af41372 -d '<json body>'
```

Example prompt: Can you run a record quality audit, string normalisation, and date-by-category pivot on these company completeness records — I have 4 rows with company_group, date, populated_fields, and required_fields — and report on the populated_fields field?

## When to prefer this

Choose this endpoint when you need three bundled analytical passes — quality audit, string normalisation, and date pivot — on a batch of up to 200 company record completeness rows in a single $0.01 call. It is ideal for offline or pre-migration data hygiene workflows where no live lookup or external enrichment is needed and you want cost-efficient batch analysis of populated_fields vs required_fields ratios across company groups and dates.

## Known failure modes

- More than 200 rows submitted — exceeds maximum batch size
- Missing required fields (row_id, company_group, date, populated_fields, required_fields) causes validation error
- Invalid date format (not YYYY-MM-DD) triggers schema rejection
- Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000) rejected
- Invalid field enum value (must be 'populated_fields' or 'required_fields')
- Empty rows array rejected — minimum 1 row required

## How this service works

Company record completeness — Record quality audit + String normalisation + Date by category pivot: Record quality audit + String normalisation + Date by category pivot for supplied company record completeness records (populated_fields, required_fields). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.

## Output

Three independent analytical reports: (1) a record quality audit flagging completeness issues and anomalies in the supplied rows, (2) a string normalisation report cleaning and standardising text values such as company_group names, and (3) a date-by-category pivot summarising the chosen numeric field (populated_fields or required_fields) broken down by date and company group. All processing is local with no external lookups.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "company_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
     },
     "company_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",
     "company_group": "group-a",
     "required_fields": 1,
     "populated_fields": 10
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "company_group": "group-b",
     "required_fields": 2,
     "populated_fields": 20
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "company_group": "group-a",
     "required_fields": 3,
     "populated_fields": 15
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "company_group": "group-b",
     "required_fields": 4,
     "populated_fields": 30
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "populated_fields",
    "required_fields"
   ],
   "type": "string",
   "default": "populated_fields"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/company-record-completeness-record-quality-audit-string-normalisation-5af41372/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)