# Creative Review — String Normalisation + Date by Category Pivot

> Creative Review — String Normalisation + Date by Category Pivot 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).

Runs two local analytical reports on creative review data: string normalisation and a date-by-category pivot, for up to 200 rows of feedback and approval metrics.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-25-035?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/creative-review-string-normalisation-date-by-category-pivot-1417ff7f
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_7zH09drKAW3sxOt7Uablu

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 creative-review-string-normalisation-date-by-category-pivot-1417ff7f -d '<json body>'
```

Example prompt: I have creative review records with asset groups, dates, feedback counts, and approved items — can you run string normalisation and a date-by-category pivot on them? I'll send up to 50 rows and want to pivot on feedback_count.

## When to prefer this

Choose this endpoint when you need both string normalisation and a date-by-category pivot on creative review records (feedback counts, approved items) in a single low-cost call, without any external lookups, predictions, or live data. Ideal for small-to-medium datasets (up to 200 rows) where local, deterministic analytical processing is sufficient and data privacy matters.

## Known failure modes

- Fewer than 1 row supplied — request rejected
- More than 200 rows supplied — exceeds limit
- Invalid date format (must be YYYY-MM-DD) — validation error
- Missing required fields (row_id, asset_group, date, feedback_count, approved_items) — schema error
- Field enum value not in ['feedback_count','approved_items'] — invalid field error
- Null numeric values across all rows — pivot may produce empty or degenerate output

## How this service works

Creative review — String normalisation + Date by category pivot: String normalisation + Date by category pivot for supplied creative review records (feedback_count, approved_items). 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 analytical reports computed locally on the supplied data: (1) a string normalisation report standardising text fields like asset_group across rows, and (2) a date-by-category pivot table summarising the selected numeric field (feedback_count or approved_items) broken down by date and asset group. No external data is fetched.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/creative-review-string-normalisation-date-by-category-pivot-1417ff7f/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)