# Contact Record Quality — Numeric Row Ordering & Two-Measure Correlation

> Contact Record Quality — Numeric Row Ordering & 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).

Ranks contact record quality rows by numeric order and computes correlation between checked_records and duplicate_records across up to 200 supplied rows, returning two analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-03-120?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-numeric-row-ordering-two-measure-correlation-73483703
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_5-5Mj77jm7Tk_8wS6a94n

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-numeric-row-ordering-two-measure-correlation-73483703 -d '<json body>'
```

Example prompt: I have contact record quality data for two company groups over four dates — can you rank those rows by checked_records and also compute the correlation between checked_records and duplicate_records across all rows? Here's the data: group-a on 2026-10-01 had 10 checked and 1 duplicate, group-b on 2026-10-02 had 20 checked and 2 duplicates, group-a on 2026-10-03 had 15 checked and 3 duplicates, group-b on 2026-10-04 had 30 checked and 4 duplicates.

## When to prefer this

Choose this endpoint when you have pre-collected contact record quality tabular data (checked_records and duplicate_records) and need both a numeric row ranking and a correlation coefficient between the two measures in a single cheap call ($0.01 USDC). It is a local analytical engine — no external lookups or live data enrichment — so it is ideal for fast, offline batch analysis of up to 200 rows. Prefer alternatives if you need predictive modeling, live CRM integration, or more than 200 rows at once.

## Known failure modes

- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, date, company_group) cause validation errors
- Non-date-format strings in the date field fail pattern validation
- Null values in both measure fields for a row may produce undefined correlation results
- Fewer than 2 rows supplied may yield degenerate or meaningless correlation output

## How this service works

Contact record quality — Numeric row ordering + Two-measure correlation: Numeric row ordering + 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 analytical reports: (1) the input rows reordered numerically by the specified field (checked_records or duplicate_records), and (2) a correlation analysis between the checked_records and duplicate_records measures across all supplied rows. Up to 200 rows processed per call.

## 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-numeric-row-ordering-two-measure-correlation-73483703/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)