# Contact Record Quality — Category Frequencies & Numeric Row Ordering

> Contact Record Quality — Category Frequencies & 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).

Computes category frequencies and numeric row ordering for contact record quality data (checked_records, duplicate_records) across up to 200 supplied rows, returning two independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-03-100?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-category-frequencies-numeric-row-ordering-da526f72
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_gn23WqewKK4MzFR0e8VuF

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-category-frequencies-numeric-row-ordering-da526f72 -d '<json body>'
```

Example prompt: Can you run a category frequency and row ordering analysis on my contact record quality data? I have rows for group-a and group-b across October 2026 with checked_records and duplicate_records counts — I want both reports using checked_records as the primary field.

## When to prefer this

Choose this endpoint when you have up to 200 contact record quality rows with checked_records and duplicate_records fields and need both a group-level frequency breakdown and a numeric ordering of rows — all in a single $0.01 call. Prefer it over general-purpose analytics tools when you want a lightweight, deterministic, offline computation on supplied data without any external API calls or ML predictions.

## Known failure modes

- Input array is empty (minItems:1 violated) — request rejected
- More than 200 rows submitted (maxItems:200 violated) — request rejected
- Date field does not match YYYY-MM-DD pattern — validation error
- row_id is missing or empty (minLength:1 violated) — validation error
- Invalid field enum value (must be 'checked_records' or 'duplicate_records') — validation error
- Numeric fields out of allowed range (±1,000,000,000,000) — validation error
- Payment of 0.01 USDC not provided or fails — request not processed

## How this service works

Contact record quality — Category frequencies + Numeric row ordering: Category frequencies + 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 for the supplied dataset (up to 200 rows): (1) category frequencies showing how often each company_group value appears, and (2) numeric row ordering ranking rows by the selected field (checked_records or duplicate_records). No external lookups or predictions are made — analysis is performed on the supplied data only.

## 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-category-frequencies-numeric-row-ordering-da526f72/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)