{"uid":"cap_31s-b4-EEu2g0MJTaNOs7","slug":"scene-geometry-string-normalisation-grouped-numeric-summary-0e15ea90","name":"Scene Geometry — String Normalisation + Grouped Numeric Summary","description":"Scene geometry — String normalisation + Grouped numeric summary: String normalisation + Grouped numeric summary 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-05-023?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_fZzgzS1-nDCUxe5zs6sKu","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":"Normalises string fields and produces grouped numeric summary statistics (count, min, max, mean, etc.) for scene geometry records containing object_count and triangle_count fields, delivering two analytical reports for up to 200 rows.","exampleAgentPrompt":"I have a batch of 3D scene geometry records with asset groups like 'environment' and 'props', each with object_count and triangle_count values — can you normalise the string fields and give me a grouped numeric summary for object_count across up to 150 rows?","exampleUseCases":[{"title":"Game asset pipeline geometry audit","prompt":"I've got 120 rows of scene geometry data from our game engine export, with asset groups like 'characters', 'terrain', and 'props' — can you normalise those group name strings and give me a grouped numeric summary of object_count so I can see the stats per category?"},{"title":"3D scene triangle budget analysis","prompt":"Here are 80 scene records from our animation project, each tagged with an asset_group and a triangle_count. Can you run string normalisation on the labels and produce a grouped summary for triangle_count so I know which groups are heaviest?"},{"title":"Multi-date scene geometry comparison","prompt":"I have scene geometry records spanning dates from 2026-10-01 to 2026-10-10 across two asset groups. Please normalise the string fields and give me grouped numeric stats on object_count so I can see how counts compare across groups."}],"resultDescription":"Two analytical reports: (1) normalised string values for the asset_group and related text fields, and (2) grouped numeric summary statistics (e.g. count, min, max, mean, sum) for the selected numeric field (object_count or triangle_count), grouped by asset_group — all computed locally with no external lookups.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, asset_group, date, object_count, triangle_count) causes a schema rejection","Invalid date format (not YYYY-MM-DD) triggers a pattern validation error","Null values in numeric fields may affect summary statistics output","Selecting an invalid field enum value returns an error"],"whenToPreferThis":"Choose this endpoint when you have scene geometry tabular data (up to 200 rows) with object_count and/or triangle_count fields and need both string normalisation of categorical labels and grouped descriptive statistics in a single cheap call ($0.01 USDC for two reports). Ideal for 3D asset pipelines, game development workflows, or animation studios that need lightweight local analytics without any external data fetch or prediction.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T12:43:24.208Z","isFirstParty":false,"canonicalSlug":"scene-geometry-string-normalisation-grouped-numeric-summary-0e15ea90"}