# Product Photography Analytics — Record Quality Audit + String Normalisation + Trailing Mean Series

> Product Photography Analytics — Record Quality Audit + String Normalisation + Trailing Mean Series 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 three local analytical reports on product photography records: record quality audit, string normalisation, and trailing mean series for required_images or completed_images fields — up to 200 rows per call.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-retail-09-199?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-analytics-record-quality-audit-string-acc0f2c3
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_rAqJg01Wo78EUyXzEFovr

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-analytics-record-quality-audit-string-acc0f2c3 -d '<json body>'
```

Example prompt: Can you run a record quality audit, string normalisation, and trailing mean series (window of 3) on my product photography data for required_images? Here are the rows: store-group-a on 2026-10-01 with 10 required and 1 completed, store-group-b on 2026-10-02 with 20 required and 2 completed, store-group-a on 2026-10-03 with 15 required and 3 completed.

## When to prefer this

Choose this endpoint when you need three bundled analytical reports — quality audit, string normalisation, and trailing mean series — on product photography records in a single low-cost call. Ideal for retail operations teams validating photography completion data across store groups without needing live external data, predictions, or professional assessments. Best suited for batch sizes up to 200 rows where cost efficiency matters ($0.01 for all three reports).

## Known failure modes

- More than 200 rows submitted — request rejected with validation error
- Invalid date format (not YYYY-MM-DD) — row fails schema validation
- Window size outside 2–200 range — rejected with parameter error
- Missing required fields (row_id, date, required_images, completed_images) — row-level error
- Payment not included or insufficient — 402 Payment Required response
- Null numeric values may reduce trailing mean coverage for affected rows

## How this service works

Product photography — Record quality audit + String normalisation + Trailing mean series: Record quality audit + String normalisation + Trailing mean series for supplied product photography records (required_images, completed_images). 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 three independent analytical reports for the submitted rows: (1) a record quality audit flagging missing, null, or out-of-range values; (2) a string normalisation report standardising store_group and other text fields; and (3) a trailing mean series for the selected numeric field (required_images or completed_images) computed with the specified window size. All analysis is performed locally with no external lookups.

## 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"
  },
  "window": {
   "type": "integer",
   "default": 2,
   "maximum": 200,
   "minimum": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/product-photography-analytics-record-quality-audit-string-acc0f2c3/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)