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Product Photography Equal-Width Histogram & Secondary-Measure Weighted Mean
x402
Product Photography Equal-Width Histogram & Secondary-Measure Weighted Mean 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).
Computes an equal-width histogram and a secondary-measure weighted mean over product photography completion records (required_images, completed_images) for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Product photography — Equal-width histogram + Secondary-measure weighted mean: Equal-width histogram + Secondary-measure weighted mean 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 equal-width histogram of the chosen field (required_images or completed_images) broken into the specified number of bins with bin edges and counts, and (2) a secondary-measure weighted mean where one field is weighted by the other — all computed locally without external lookups, based solely on the supplied rows.
Example use cases
Photography backlog distribution audit
“I have 50 store records with required_images and completed_images counts for October — can you build a 10-bin equal-width histogram on required_images and also give me the weighted mean of completed_images weighted by required_images, so I can see where the photography backlog is concentrated?”
Retail group completion benchmarking
“Run a histogram with 8 bins on our completed_images data across these store groups and dates — I want to benchmark how evenly photography completion is spread and get the weighted mean for required_images as the secondary measure.”
Weekly photography progress summary
“Here are 80 rows of our weekly photography tracking data with store_group, date, required_images, and completed_images — give me a 5-bin histogram on required_images plus the secondary-measure weighted mean so I can summarize progress for the team report.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-retail-09-172?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have product photography tracking records (required_images, completed_images) for up to 200 rows and need both a distribution histogram and a weighted mean in a single low-cost call ($0.01 USDC). It is ideal for retail/e-commerce analytics teams doing batch statistical summarization on local data without needing live lookups, predictions, or external integrations.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Invalid date format (non-YYYY-MM-DD) causes validation error
- Missing required fields (row_id, required_images, completed_images) causes schema rejection
- Bins parameter out of range (must be 1–30) triggers validation failure
- All null values in the target field results in undefined histogram or NaN weighted mean
- Empty rows array rejected (minimum 1 row required)
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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