# Contact Record Quality — String Normalisation + Numeric Row Ordering

> Contact Record Quality — String Normalisation + Numeric Row Ordering 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 orders rows numerically for up to 200 contact record quality data rows, producing two independent reports on checked_records and duplicate_records.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-03-025?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-numeric-row-ordering-37923483
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_VDNeK-cAXfK7pzAPdamra

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-numeric-row-ordering-37923483 -d '<json body>'
```

Example prompt: Can you normalise and numerically rank these contact quality records for me? I have 4 rows — group-a on 2026-10-01 with 10 checked and 1 duplicate, group-b on 2026-10-02 with 20 checked and 2 duplicates, group-a on 2026-10-03 with 15 checked and 3 duplicates, and group-b on 2026-10-04 with 30 checked and 4 duplicates — run it on the checked_records field and give me both reports.

## When to prefer this

Choose this endpoint when you need lightweight, offline string normalisation and numeric ordering for contact record quality data (checked_records, duplicate_records) without requiring any live data lookups, predictions, or external integrations. It is ideal for batch preprocessing up to 200 rows at very low cost ($0.01 USDC for two reports). Prefer it over heavier analytics pipelines when the goal is simply standardising and ranking contact quality metrics by company group and date.

## Known failure modes

- Fewer than 1 row submitted — minimum row count not met
- More than 200 rows submitted — maxItems exceeded, request rejected
- Invalid date format (not YYYY-MM-DD) — schema validation error
- checked_records or duplicate_records value outside allowed numeric range
- Missing required field (row_id, company_group, date) — validation failure
- Invalid field enum value (not 'checked_records' or 'duplicate_records') — rejected

## How this service works

Contact record quality — String normalisation + Numeric row ordering: String normalisation + Numeric row ordering 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: one performing string normalisation on the supplied contact record quality rows, and one providing numeric ordering of rows by the selected field (checked_records or duplicate_records). Covers up to 200 input rows grouped by company_group and date, with no external lookups or predictions.

## 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-numeric-row-ordering-37923483/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)