# Product Photography String Normalisation + Numeric Distribution

> Product Photography String Normalisation + Numeric Distribution is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-02).

Runs string normalisation and numeric distribution analysis on up to 200 product photography records (required_images, completed_images), returning two independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-retail-09-022?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-11-02
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/product-photography-string-normalisation-numeric-distribution-d314673a
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_UDsM4jGy68czI7cbtwP92

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 product-photography-string-normalisation-numeric-distribution-d314673a -d '<json body>'
```

Example prompt: Can you run string normalisation and numeric distribution analysis on my product photography data? I have 4 rows: row-1 for group-a on 2026-10-01 with 10 required and 1 completed image, row-2 for group-b on 2026-10-02 with 20 required and 2 completed, row-3 for group-a on 2026-10-03 with 15 required and 3 completed, row-4 for group-b on 2026-10-04 with 30 required and 4 completed — analyse the required_images field.

## When to prefer this

Choose this endpoint when you have tabular product photography tracking data (required vs completed image counts per store group and date) and need both string normalisation of categorical labels and a numeric distribution analysis in a single low-cost call. It is best suited for retail or e-commerce teams auditing image completion workflows across up to 200 records. Not suitable for live data lookups, predictions, external enrichment, or datasets larger than 200 rows.

## Known failure modes

- More than 200 rows submitted — request rejected at maxItems limit
- Missing required fields (row_id, store_group, date, required_images, completed_images) cause validation errors
- Date strings not matching YYYY-MM-DD pattern are rejected
- Numeric values outside ±1,000,000,000,000 are rejected
- Empty rows array (minItems: 1) causes validation failure
- Invalid field enum value (must be 'required_images' or 'completed_images') causes error

## How this service works

Product photography — String normalisation + Numeric distribution: String normalisation + Numeric distribution for supplied product photography records (required_images, completed_images). 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: (1) a string normalisation report on store_group labels, and (2) a numeric distribution report on the selected numeric field (required_images or completed_images), covering up to 200 submitted rows. Results are derived entirely from supplied data using local analytical engines — no external lookups or predictions.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/product-photography-string-normalisation-numeric-distribution-d314673a/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)