# Company Record Completeness – Numeric Row Ordering & IQR Outlier Flags

> Company Record Completeness – Numeric Row Ordering & 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 2026-10-15).

Ranks company records by populated_fields or required_fields values and flags statistical outliers using IQR analysis, producing two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-01-119?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-numeric-row-ordering-iqr-outlier-flags-8fd05a44
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_zXoyiQgdbzueeYDv23sQJ

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-numeric-row-ordering-iqr-outlier-flags-8fd05a44 -d '<json body>'
```

Example prompt: Can you rank these company records by populated_fields and flag any IQR outliers? I have about 50 rows with row IDs, company groups, dates, and both populated_fields and required_fields counts — analyze populated_fields for me.

## When to prefer this

Choose this endpoint when you need fast, local statistical analysis of company record completeness data — specifically numeric ordering and IQR-based outlier detection — without any external API calls, live lookups, or ML predictions. Ideal for data quality workflows, pre-migration audits, or periodic completeness monitoring on batches of up to 200 company records. At $0.01 USDC you get two reports per call.

## Known failure modes

- Fewer than 1 row submitted — validation error
- More than 200 rows submitted — request rejected
- Invalid date format (non-YYYY-MM-DD) — schema validation failure
- Missing required fields (row_id, company_group, date, populated_fields, required_fields) — rejected
- Null values in both numeric fields may reduce outlier detection accuracy
- Invalid field enum value — schema rejection

## How this service works

Company record completeness — Numeric row ordering + IQR outlier flags: Numeric row ordering + 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 two independent analytical reports: (1) a numeric row ordering report ranking the submitted company records by the selected field (populated_fields or required_fields), and (2) an IQR outlier detection report flagging records whose values fall outside the interquartile range. Both reports operate on the same batch of up to 200 rows using local statistical engines 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-numeric-row-ordering-iqr-outlier-flags-8fd05a44/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)