# Contact Record Quality — String Normalisation + Two-Measure Correlation

> Contact Record Quality — String Normalisation + Two-Measure Correlation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-23).

Normalises strings and computes two-measure correlation analysis for contact record quality data (checked_records, duplicate_records) across up to 200 rows, producing two independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-03-033?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-23
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/contact-record-quality-string-normalisation-two-measure-correlation-3f1bed94
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Qyqe4POMScBPaMIXrhz-p

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-two-measure-correlation-3f1bed94 -d '<json body>'
```

Example prompt: Can you run a string normalisation and two-measure correlation analysis on my contact record quality data — I have rows for group-a and group-b across October 2026, with checked_records like 10, 20, 15, 30 and duplicate_records like 1, 2, 3, 4? I need both analytical reports.

## When to prefer this

Choose this endpoint when you need offline, deterministic string normalisation combined with a two-measure correlation analysis specifically for contact record quality data (checked_records vs duplicate_records) in batch up to 200 rows, with no need for live lookups, external enrichment, or ML-based predictions. It is cost-effective at $0.01 USDC for two bundled reports and is ideal for periodic data quality audits on CRM or contact databases.

## Known failure modes

- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, date, company_group, checked_records, duplicate_records) causes row rejection
- Invalid date format (non-YYYY-MM-DD) fails pattern validation
- Numeric values outside ±1,000,000,000,000 are rejected
- Empty rows array returns an error
- Payment failure (insufficient USDC balance) blocks the request

## How this service works

Contact record quality — String normalisation + Two-measure correlation: String normalisation + Two-measure correlation 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

Returns two independent analytical reports: (1) a string normalisation report cleaning and standardising the text fields in the supplied rows, and (2) a two-measure correlation report quantifying the relationship between checked_records and duplicate_records across the submitted rows, covering up to 200 input rows with no external lookups or live data.

## 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
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/contact-record-quality-string-normalisation-two-measure-correlation-3f1bed94/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)