# Contact Record Quality — String Normalisation + IQR Outlier Flags

> Contact Record Quality — 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 2026-10-15).

Normalises string fields and flags IQR-based outliers in contact record quality data (checked_records, duplicate_records) for up to 200 rows, returning two independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-03-032?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/contact-record-quality-string-normalisation-iqr-outlier-flags-75adc4bf
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_XuWtk4craExGUX24KCcsS

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 contact-record-quality-string-normalisation-iqr-outlier-flags-75adc4bf -d '<json body>'
```

Example prompt: Can you run IQR outlier detection and string normalisation on these contact quality records for group-a and group-b from October 2026 — I have checked_records and duplicate_records counts per day across 4 rows and want two independent reports back?

## When to prefer this

Choose this endpoint when you need lightweight, local statistical analysis of contact record quality data — specifically IQR-based outlier detection combined with string normalisation — without requiring any live data lookup, external enrichment, or professional assessment. Ideal for batch audit workflows on up to 200 rows of CRM or contact database export data where cost and latency must be minimal ($0.01 per call).

## Known failure modes

- More than 200 rows submitted — request rejected with validation error
- Missing required fields (row_id, date, checked_records, duplicate_records) — row rejected or error returned
- Invalid date format (not YYYY-MM-DD) — validation failure
- Numeric values outside allowed range (±1,000,000,000,000) — schema rejection
- Empty rows array — minimum 1 item required
- Invalid field enum value — must be checked_records or duplicate_records

## How this service works

Contact record quality — String normalisation + IQR outlier flags: String normalisation + IQR outlier flags for supplied contact record quality records (checked_records, duplicate_records). 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: one covering string normalisation of contact record fields (company_group, date, row_id) and one covering IQR-based outlier flags for the selected numeric measure (checked_records or duplicate_records), applied across up to 200 input rows. Reports are computed locally with no external lookups.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "company_group",
     "date",
     "checked_records",
     "duplicate_records"
    ],
    "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
     },
     "checked_records": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "duplicate_records": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "company_group": "group-a",
     "checked_records": 10,
     "duplicate_records": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "company_group": "group-b",
     "checked_records": 20,
     "duplicate_records": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "company_group": "group-a",
     "checked_records": 15,
     "duplicate_records": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "company_group": "group-b",
     "checked_records": 30,
     "duplicate_records": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "checked_records",
    "duplicate_records"
   ],
   "type": "string",
   "default": "checked_records"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/contact-record-quality-string-normalisation-iqr-outlier-flags-75adc4bf/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)