# Video Engagement Record Quality Audit + String Normalisation + Numeric Row Ordering

> Video Engagement Record Quality Audit + 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 2026-10-25).

Audits quality, normalises strings, and orders rows numerically for up to 200 video engagement records (view_count, watch_minutes) across 3 independent local analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-news-10-196?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-25
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/video-engagement-record-quality-audit-string-normalisation-numeric-4c58bd42
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_tnIiDWfhA3_W6GpWkqr1I

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 video-engagement-record-quality-audit-string-normalisation-numeric-4c58bd42 -d '<json body>'
```

Example prompt: Can you run a quality audit, string normalisation, and numeric row ordering on my video engagement data — here are 4 rows with row IDs row-1 through row-4, channel groups group-a and group-b, dates from 2026-10-01 to 2026-10-04, view counts 10/20/15/30, and watch minutes 1/2/3/4 — and sort everything by view_count?

## When to prefer this

Choose this endpoint when you need a combined quality audit, string normalisation, and numeric ordering for video engagement data (view_count, watch_minutes) in a single low-cost call. Ideal for batch preprocessing up to 200 rows before ingesting into dashboards or reports, without needing external lookups or predictions. Best suited for offline analytical pipelines where data cleanliness and ordering are the primary concern.

## Known failure modes

- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, channel_group, date, view_count, watch_minutes) causes row rejection
- Invalid date format (not YYYY-MM-DD) fails pattern validation
- Numeric values outside ±1,000,000,000,000 boundary are rejected
- Empty rows array returns an error
- Invalid field enum value (not view_count or watch_minutes) causes request failure

## How this service works

Video engagement — Record quality audit + String normalisation + Numeric row ordering: Record quality audit + String normalisation + Numeric row ordering for supplied video engagement records (view_count, watch_minutes). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.

## Output

Returns 3 independent analytical reports: (1) a record quality audit identifying issues in the supplied video engagement rows, (2) a string normalisation report for fields like channel_group, and (3) a numeric row ordering report sorting rows by the selected metric (view_count or watch_minutes). All processing is local with no external lookups.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "channel_group",
     "date",
     "view_count",
     "watch_minutes"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "view_count": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "channel_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "watch_minutes": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "view_count": 10,
     "channel_group": "group-a",
     "watch_minutes": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "view_count": 20,
     "channel_group": "group-b",
     "watch_minutes": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "view_count": 15,
     "channel_group": "group-a",
     "watch_minutes": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "view_count": 30,
     "channel_group": "group-b",
     "watch_minutes": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "view_count",
    "watch_minutes"
   ],
   "type": "string",
   "default": "view_count"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/video-engagement-record-quality-audit-string-normalisation-numeric-4c58bd42/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)