# Company Record Completeness – Quality Audit, Deduplication & IQR Outlier Flags

> Company Record Completeness – Quality Audit, Deduplication & IQR Outlier Flags 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 analytical reports on company record completeness data (populated_fields, required_fields): a record quality audit, exact row deduplication, and IQR-based outlier flagging — all on supplied rows, no external lookups.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-01-220?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-quality-audit-deduplication-iqr-outlier-b8a3bc7a
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_F--y-0D1AVXE2CukT2jDs

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-quality-audit-deduplication-iqr-outlier-b8a3bc7a -d '<json body>'
```

Example prompt: Can you audit my company record completeness data for quality issues, exact duplicates, and IQR outliers? I have 50 rows with row_id, company_group, date, populated_fields, and required_fields — run all three reports on the populated_fields metric.

## When to prefer this

Choose this endpoint when you need all three data quality operations — record quality auditing, exact deduplication, and IQR outlier flagging — applied to company record completeness data (populated_fields and required_fields) in a single low-cost call. Ideal for pre-migration checks, periodic data hygiene, or pre-reporting validation on batches up to 200 rows. Not suitable if you need live data enrichment, ML-based anomaly detection, or external company data lookups.

## Known failure modes

- Fewer than 1 row supplied — minimum 1 row required
- More than 200 rows supplied — maximum is 200 rows per call
- Invalid date format (not YYYY-MM-DD) causes validation rejection
- Missing required fields (row_id, company_group, date, populated_fields, required_fields) causes schema error
- null values in numeric fields may reduce outlier detection accuracy
- Insufficient row variance may yield trivial IQR results

## How this service works

Company record completeness — Record quality audit + Exact row deduplication + IQR outlier flags: Record quality audit + Exact row deduplication + IQR outlier flags 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

Returns three independent analytical reports: (1) a record quality audit identifying completeness issues in the supplied rows, (2) an exact row deduplication report identifying repeated records, and (3) IQR outlier flags identifying statistically anomalous values in the selected field (populated_fields or required_fields). All computed locally on the supplied data 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-quality-audit-deduplication-iqr-outlier-b8a3bc7a/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)