{"uid":"cap_FlY1xSI6KvcNLdKjIahLb","slug":"product-photography-analytics-adjacent-row-changes-two-measure-0975c44b","name":"Product Photography Analytics — Adjacent Row Changes + Two-Measure Correlation","description":"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.","url":"https://market.datapackvibe.com/x402/assistant-ib26-retail-09-158?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"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"}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.01","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.01/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_wgYMIL6MN8oZbeojzxe8x","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"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.","exampleAgentPrompt":"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.","exampleUseCases":[{"title":"Photography backlog trend monitoring","prompt":"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?"},{"title":"Retail chain image completion audit","prompt":"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."},{"title":"Photography fulfillment gap analysis","prompt":"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?"}],"resultDescription":"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.","failureModes":["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"],"whenToPreferThis":"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.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T18:51:25.607Z","isFirstParty":false,"canonicalSlug":"product-photography-analytics-adjacent-row-changes-two-measure-0975c44b"}