{"uid":"cap_Kiv9Q8QGAHDgwWx395QgN","slug":"image-exports-adjacent-row-changes-equal-width-histogram-2bab5b0d","name":"Image Exports — Adjacent Row Changes + Equal-Width Histogram","description":"Image exports — Adjacent row changes + Equal-width histogram: Adjacent row changes + Equal-width histogram for supplied image exports records (width_pixels, height_pixels). 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-creative-17-156?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"bins":{"type":"integer","default":5,"maximum":30,"minimum":1},"rows":{"type":"array","items":{"type":"object","required":["row_id","asset_group","date","width_pixels","height_pixels"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"asset_group":{"type":"string","default":"","maxLength":80},"width_pixels":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"height_pixels":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","asset_group":"group-a","width_pixels":10,"height_pixels":1},{"date":"2026-10-02","row_id":"row-2","asset_group":"group-b","width_pixels":20,"height_pixels":2},{"date":"2026-10-03","row_id":"row-3","asset_group":"group-a","width_pixels":15,"height_pixels":3},{"date":"2026-10-04","row_id":"row-4","asset_group":"group-b","width_pixels":30,"height_pixels":4}],"maxItems":200,"minItems":1},"field":{"enum":["width_pixels","height_pixels"],"type":"string","default":"width_pixels"}}},"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_YlGj2EWa0PXVF1TWT3l4R","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":"Runs two local analytical reports on image export records: adjacent-row change detection and an equal-width histogram, over up to 200 rows of width/height pixel data.","exampleAgentPrompt":"Can you analyze my image export records for row-to-row changes and build a histogram of width_pixels using 10 bins? I have up to 150 rows with fields like row_id, asset_group, date, width_pixels, and height_pixels.","exampleUseCases":[{"title":"Histogram of exported image widths","prompt":"I have a batch of image export records with width_pixels and height_pixels values — can you bucket the width_pixels into 8 equal-width bins and show me the frequency distribution?"},{"title":"Detecting sequential dimension shifts","prompt":"I want to see how width_pixels changes between consecutive rows in my image export dataset across different asset groups — can you run an adjacent row change report on it?"},{"title":"Dual report on creative asset dimensions","prompt":"I've got about 120 image export records with dates and asset groups. Can you run both a row-to-row change analysis and a 5-bin histogram on height_pixels for me?"}],"resultDescription":"Returns two analytical reports: (1) an adjacent row changes report showing delta values between consecutive rows for the selected pixel dimension field, and (2) an equal-width histogram report with bin boundaries and counts for the selected field, both computed locally over the supplied rows.","failureModes":["More than 200 rows submitted — only up to 200 rows are supported","Missing required fields (row_id, date, width_pixels, height_pixels) cause validation errors","Invalid date format (must match YYYY-MM-DD pattern)","Bins parameter outside 1–30 range rejected","Null pixel values may be excluded or handled as missing in histogram bins"],"whenToPreferThis":"Choose this endpoint when you have up to 200 image export records with pixel dimension data and need both a sequential change analysis and a distribution histogram in a single call, without requiring any external data lookup or live prediction — useful for local batch analytics on creative asset datasets at low cost.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T12:40:32.966Z","isFirstParty":false,"canonicalSlug":"image-exports-adjacent-row-changes-equal-width-histogram-2bab5b0d"}