{"uid":"cap_J4XBXxGEpdnhPi7P51pjc","slug":"scene-geometry-analytics-adjacent-row-changes-date-by-category-pivot-7711bab3","name":"Scene Geometry Analytics — Adjacent Row Changes & Date-by-Category Pivot","description":"Scene geometry — Adjacent row changes + Date by category pivot: Adjacent row changes + Date by category pivot for supplied scene geometry records (object_count, triangle_count). 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-05-160?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","asset_group","date","object_count","triangle_count"],"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},"object_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"triangle_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","asset_group":"group-a","object_count":10,"triangle_count":1},{"date":"2026-10-02","row_id":"row-2","asset_group":"group-b","object_count":20,"triangle_count":2},{"date":"2026-10-03","row_id":"row-3","asset_group":"group-a","object_count":15,"triangle_count":3},{"date":"2026-10-04","row_id":"row-4","asset_group":"group-b","object_count":30,"triangle_count":4}],"maxItems":200,"minItems":1},"field":{"enum":["object_count","triangle_count"],"type":"string","default":"object_count"}}},"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_BHa83iLqcd4uXJCI9kiRq","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 analytical reports on scene geometry data (object_count, triangle_count): adjacent row change detection and a date-by-category pivot table, for up to 200 rows.","exampleAgentPrompt":"Analyze my scene geometry data for the last week — I have rows with row_id, asset_group, date, object_count, and triangle_count for groups A and B — run both the adjacent row changes report and the date-by-category pivot on the object_count field for up to 200 rows.","exampleUseCases":[{"title":"Detecting scene complexity spikes between builds","prompt":"I've got 150 rows of scene geometry records from our last sprint — each has a row ID, asset group, date, object count, and triangle count. Can you run the adjacent row changes report on triangle_count so I can see where complexity spiked between consecutive records?"},{"title":"Pivoting asset group contributions by date","prompt":"I need a pivot table of our scene geometry data showing how object_count breaks down by asset group across each date — I have about 80 rows covering groups A, B, and C over the past month. Can you run the date-by-category pivot report for me?"},{"title":"Dual report on 3D inventory for QA review","prompt":"We're doing a QA pass on our 3D asset pipeline and need both the row-over-row change detection and the date-by-category summary for our object_count data — I'll supply up to 200 scene geometry records with row IDs, dates, and asset groups."}],"resultDescription":"Returns two analytical reports: (1) an adjacent row changes report highlighting differences in the selected metric (object_count or triangle_count) between consecutive rows, and (2) a date-by-category pivot table grouping the selected metric by date and asset_group. Both reports are computed locally on the supplied data with no external lookups.","failureModes":["Exceeding 200 rows returns an error or truncates input","Missing required fields (row_id, date, asset_group) cause validation failure","Invalid date format (not YYYY-MM-DD) triggers schema rejection","Null values in object_count or triangle_count may affect delta calculations","Selecting an invalid field enum value (not object_count or triangle_count) causes a schema error"],"whenToPreferThis":"Choose this endpoint when you have scene geometry tabular data with object and triangle counts and need both row-over-row change analysis and a date-by-category pivot in a single low-cost call. Ideal for 3D asset pipeline QA, game development build comparison, or CGI scene auditing where you supply your own data and need fast offline analytics without external data fetching or prediction.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T18:57:07.408Z","isFirstParty":false,"canonicalSlug":"scene-geometry-analytics-adjacent-row-changes-date-by-category-pivot-7711bab3"}