# Product Photography Analytics — Adjacent Row Changes + Two-Measure Correlation

> Product Photography Analytics — Adjacent Row Changes + Two-Measure Correlation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-26).

Computes adjacent row-to-row changes and Pearson/rank correlation between required_images and completed_images for up to 200 product photography records, returning two local analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-retail-09-158?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-26
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/product-photography-analytics-adjacent-row-changes-two-measure-0975c44b
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_FlY1xSI6KvcNLdKjIahLb

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-adjacent-row-changes-two-measure-0975c44b -d '<json body>'
```

Example prompt: Analyze these product photography records for my store groups — I have up to 50 rows with dates, required_images, and completed_images fields — and give me the adjacent row-to-row changes for required_images plus the correlation between required_images and completed_images.

## When to prefer this

Choose this endpoint when you have tabular product photography records (required vs completed image counts by store group and date) and need both a sequential change analysis and a correlation between the two measures in a single low-cost call. It is best suited for offline/batch analytical workflows on up to 200 rows where no external data, predictions, or real-time lookups are needed. Prefer alternatives if you need forecasting, anomaly detection beyond IQR, or analysis of more than 200 rows.

## Known failure modes

- Fewer than 1 row submitted — validation error
- More than 200 rows submitted — rejected, maxItems exceeded
- Missing required fields (row_id, date, required_images, completed_images) — schema validation failure
- Invalid date format (not YYYY-MM-DD) — pattern mismatch error
- Null values in both measure columns may reduce correlation reliability
- field enum value not recognized — validation error

## How this service works

Product photography — Adjacent row changes + Two-measure correlation: Adjacent row changes + Two-measure correlation 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

Returns two analytical reports: (1) an adjacent row change series showing the difference between consecutive rows for the selected measure (required_images or completed_images), and (2) a two-measure correlation result quantifying the statistical relationship between required_images and completed_images across all supplied rows. All computation is performed locally on the submitted data 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"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/product-photography-analytics-adjacent-row-changes-two-measure-0975c44b/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)