# Company Record Completeness — String Normalisation + IQR Outlier Flags

> Company Record Completeness — String Normalisation + 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).

Analyzes up to 200 company record completeness rows, producing string normalization and IQR-based outlier flag reports for populated_fields and required_fields metrics.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-01-032?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-string-normalisation-iqr-outlier-flags-d032290b
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_z-8xK-bizOJsQtEYV4TUQ

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-string-normalisation-iqr-outlier-flags-d032290b -d '<json body>'
```

Example prompt: Can you run the string normalization and IQR outlier analysis on my company record completeness data — I have about 50 rows from group-a and group-b covering October 2026, each with populated_fields and required_fields counts, and I want to check the populated_fields column for outliers?

## When to prefer this

Choose this endpoint when you need fast, local statistical analysis (IQR outlier detection + string normalization) on batches of up to 200 company record completeness rows without requiring any external data lookups, predictions, or live enrichment. Ideal for pre-pipeline data hygiene, CRM quality audits, and anomaly detection on completeness metrics where cost-efficiency ($0.01 for two reports) and offline analytical processing are priorities.

## Known failure modes

- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, company_group, date, populated_fields, required_fields) causes request rejection
- Invalid date format (not YYYY-MM-DD) fails schema validation
- Numeric values outside allowed range (-1T to 1T) are rejected
- Empty rows array returns an error
- Supplying an invalid field enum value (not 'populated_fields' or 'required_fields') fails validation

## How this service works

Company record completeness — String normalisation + IQR outlier flags: String normalisation + 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

Two independent analytical reports per call: (1) a string normalization report cleaning and standardizing text fields in the supplied rows, and (2) an IQR outlier flag report identifying which rows have statistically anomalous values in the selected numeric field (populated_fields or required_fields), based purely 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-string-normalisation-iqr-outlier-flags-d032290b/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)