# Company Record Completeness — Exact Row Deduplication + IQR Outlier Flags

> Company Record Completeness — Exact Row 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).

Deduplicates exact rows and flags IQR outliers in company record completeness data (populated_fields, required_fields) for up to 200 rows, producing 2 independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-01-049?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-exact-row-deduplication-iqr-outlier-flags-19ba8c38
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_FkJu_X7CgXRLFka-N46x6

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-exact-row-deduplication-iqr-outlier-flags-19ba8c38 -d '<json body>'
```

Example prompt: Can you deduplicate and flag IQR outliers in my company record completeness data? I have rows with populated_fields and required_fields for groups like group-a and group-b across dates in October 2026 — analyze the populated_fields column and give me the 2-report output.

## When to prefer this

Choose this endpoint when you need a low-cost, local statistical audit of company record completeness data — specifically exact row deduplication combined with IQR-based outlier detection — without any external data lookups, predictions, or ML inference. Ideal for data quality pipelines, ETL validation steps, or periodic completeness audits where you have up to 200 rows of company group completeness metrics and want two structured reports for $0.01 USDC.

## Known failure modes

- Input array exceeds 200 rows — request will be rejected
- Missing required fields (row_id, company_group, date, populated_fields, required_fields) cause validation errors
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Non-numeric or out-of-range values for populated_fields or required_fields fail schema validation
- Empty rows array (minItems:1 not met) causes rejection
- Invalid field enum value (not 'populated_fields' or 'required_fields') causes error

## How this service works

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

Returns 2 independent analytical reports: one covering exact row deduplication (identifying and removing duplicate rows from the supplied dataset) and one covering IQR-based outlier flagging for the chosen field (populated_fields or required_fields), applied across the supplied company record completeness rows. No external lookups or predictions are made — all analysis is performed on the supplied data only.

## 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-exact-row-deduplication-iqr-outlier-flags-19ba8c38/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)