{"uid":"cap_0xXz3AW_1bftz-L0xowWo","slug":"scene-geometry-analytics-numeric-distribution-secondary-measure-0b307cac","name":"Scene Geometry Analytics — Numeric Distribution & Secondary-Measure Weighted Mean","description":"Scene geometry — Numeric distribution + Secondary-measure weighted mean: Numeric distribution + Secondary-measure weighted mean 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-05-082?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_HW1hzaeh3Gcb9ZO15ORVj","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 numeric distribution statistics and a secondary-measure weighted mean for scene geometry records (object_count, triangle_count) across up to 200 supplied rows.","exampleAgentPrompt":"Can you run a numeric distribution analysis and a triangle_count-weighted mean on my scene geometry data? I have 4 rows — row-1 (group-a, 2026-10-01, 10 objects, 1 triangle), row-2 (group-b, 2026-10-02, 20 objects, 2 triangles), row-3 (group-a, 2026-10-03, 15 objects, 3 triangles), row-4 (group-b, 2026-10-04, 30 objects, 4 triangles) — and I want to analyze the object_count field.","exampleUseCases":[{"title":"Game asset complexity audit","prompt":"I have scene data for our game levels — each row has an asset group, date, object count, and triangle count. Can you compute the numeric distribution of object_count and the triangle_count-weighted mean across all 50 rows so I know which groups are driving complexity?"},{"title":"3D scene optimization report","prompt":"We're optimizing our 3D renderer and need to understand the spread of triangle counts across our scene geometry records. Can you give me a numeric distribution plus an object_count-weighted mean for triangle_count across these 120 scene entries?"},{"title":"Asset group benchmarking","prompt":"Can you analyze these 80 rows of scene geometry data by computing a numeric distribution and secondary-measure weighted mean for the object_count field? I want to benchmark our different asset groups — group-a through group-d — across October 2026."}],"resultDescription":"Returns two analytical reports: (1) a numeric distribution summary (e.g. min, max, mean, percentiles, histogram bins) for the specified field across the supplied rows, and (2) a weighted mean of the specified field using the other geometry measure as a weight — all computed locally from supplied data with no external lookups.","failureModes":["Missing required fields (row_id, date, object_count, triangle_count) cause row rejection or error","Exceeding 200 rows returns a validation error","Invalid date format (non-YYYY-MM-DD) causes schema rejection","Null values in both numeric fields may degrade weighted mean computation","All-null values in the target field make distribution computation undefined"],"whenToPreferThis":"Choose this endpoint when you need both a numeric distribution report and a secondary-measure weighted mean for 3D scene geometry data (object_count and triangle_count) in a single paid call. It is ideal for game developers, 3D artists, or pipeline engineers who want statistical insight into asset complexity without building local analytics. At $0.01 USDC for up to 200 rows and 2 reports, it is cost-efficient for small-to-medium scene datasets.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-31T06:50:02.043Z","isFirstParty":false,"canonicalSlug":"scene-geometry-analytics-numeric-distribution-secondary-measure-0b307cac"}