# Company Record Completeness — Record Quality Audit & String Normalisation

> Company Record 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 2026-10-15).

Audits and normalises up to 200 company record completeness entries (populated_fields vs required_fields), producing two independent analytical reports on record quality and string formatting.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-01-001?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/company-record-completeness-record-quality-audit-string-normalisation-073cc2ba
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_e4iamStc3Cjvla5doSHp8

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-073cc2ba -d '<json body>'
```

Example prompt: Can you audit these 4 company records for data quality and string normalisation? I have rows for group-a and group-b with dates from 2026-10-01 to 2026-10-04, with populated field counts of 10, 20, 15, and 30 against required field counts of 1, 2, 3, and 4 respectively.

## When to prefer this

Choose this endpoint when you need a fast, offline, batch audit of company record completeness data — specifically when you have structured rows with field population counts and want two simultaneous reports (quality audit + string normalisation) without any external API calls, live lookups, or predictions. Ideal for data governance workflows, CRM exports, and pre-pipeline data validation at low cost ($0.01 for up to 200 rows).

## Known failure modes

- Missing required fields (row_id, company_group, date, populated_fields, required_fields) causes row rejection
- More than 200 rows submitted exceeds batch limit
- Invalid date format (non-YYYY-MM-DD) fails pattern validation
- Null or out-of-range numeric values for populated_fields or required_fields may produce incomplete analysis
- Malformed JSON input returns a schema validation error

## How this service works

Company record completeness — Record quality audit + String normalisation: Record quality audit + String normalisation for supplied company record 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 independent analytical reports for up to 200 input rows: (1) a record quality audit assessing field population completeness relative to required fields, and (2) a string normalisation report on company group names and other string fields. No external lookups or live data are used — all analysis is performed locally on the supplied data.

## 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
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/company-record-completeness-record-quality-audit-string-normalisation-073cc2ba/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)