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Product Photography Analytics — Adjacent Row Changes + Two-Measure Correlation
x402
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.
Price / call$0.01
Success—
StatusUnknown
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.
Example use cases
Photography backlog trend monitoring
“I have daily product photography data for two store groups over the past month — each row has a date, store_group, required_images, and completed_images count. Can you compute the day-over-day changes in required_images and also show me how correlated the required and completed image counts are across all rows?”
Retail chain image completion audit
“We track required vs completed product images across our retail store groups weekly. Run an adjacent row change analysis on completed_images and also calculate the two-measure correlation between required_images and completed_images for this dataset of 80 rows I'm uploading.”
Photography fulfillment gap analysis
“My team logs required_images and completed_images per store group daily. I want to see where the biggest jumps in required_images happen row-to-row, and whether there's a strong correlation between requirements and actual completions — can you run both reports on my 120-row dataset?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-retail-09-158?utm_source=zero.xyzWhen to prefer
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.
Side effects
- 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
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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