{"uid":"cap_hkw0qR7csVWHTLO74qCtW","slug":"scene-geometry-data-quality-audit-string-normalisation-numeric-473a19ed","name":"Scene Geometry Data Quality Audit, String Normalisation & Numeric Distribution","description":"Scene geometry — Record quality audit + String normalisation + Numeric distribution: Record quality audit + String normalisation + Numeric distribution for supplied scene geometry records (object_count, triangle_count). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-creative-05-193?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_BrAeazxLxrW6Lbm4bYrBX","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 three local analytical reports on scene geometry records (object_count, triangle_count): record quality audit, string normalisation, and numeric distribution — up to 200 rows, no external lookups.","exampleAgentPrompt":"Can you run a record quality audit, string normalisation, and numeric distribution on my scene geometry data? Here are up to 200 rows with row_id, asset_group, date, object_count, and triangle_count — I want to profile the object_count field.","exampleUseCases":[{"title":"3D Asset Pipeline Data Quality Check","prompt":"I have a batch of scene geometry records from our rendering pipeline — row IDs, asset groups, dates, and object/triangle counts — can you audit them for quality issues, normalize the asset group strings, and show me the distribution of object_count values? There are about 150 rows."},{"title":"Triangle Count Distribution for Game Assets","prompt":"Run a numeric distribution report on triangle_count across these scene geometry rows for our game asset groups — I also want to see string normalisation on the asset_group field and a record quality audit for the full dataset. Here are 80 rows."},{"title":"Scene Data Profiling Before Import","prompt":"Before we import this scene geometry dataset into our pipeline, can you do a three-part analysis: record quality audit, string normalisation, and numeric distribution for the object_count field? I've got around 60 rows with row_id, asset_group, date, object_count, and triangle_count."}],"resultDescription":"Three independent analytical reports: (1) a record quality audit flagging completeness and validity issues per row, (2) a string normalisation report for asset_group and other string fields, and (3) a numeric distribution summary (e.g. min, max, mean, quartiles, histogram) for the selected numeric field (object_count or triangle_count). All computed locally with no external data sources.","failureModes":["Submitting more than 200 rows returns a validation error","Missing required row fields (row_id, date, object_count, triangle_count) causes rejection","Invalid date format (non-YYYY-MM-DD) triggers schema validation failure","Numeric values outside the allowed range (-1e12 to 1e12) are rejected","Selecting an invalid field enum value returns an error"],"whenToPreferThis":"Choose this endpoint when you need a bundled, cost-effective ($0.01 USDC for all three reports) local data profiling pass on scene geometry records — specifically object/triangle count datasets up to 200 rows — without requiring external APIs, live lookups, or AI-based predictions. It is ideal for quick pre-import validation, asset pipeline QA, and lightweight distribution analysis of 3D scene data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T12:42:56.785Z","isFirstParty":false,"canonicalSlug":"scene-geometry-data-quality-audit-string-normalisation-numeric-473a19ed"}