{"uid":"cap_ZrCJkBWUcLipZuEIoHSY2","slug":"scene-geometry-string-normalisation-two-measure-correlation-46e73648","name":"Scene Geometry String Normalisation + Two-Measure Correlation","description":"Scene geometry — String normalisation + Two-measure correlation: String normalisation + Two-measure correlation 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-05-033?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}}},"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_e5PshPhSAaM38tsI9gUd8","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 computes pairwise correlation between object_count and triangle_count across up to 200 scene geometry records, returning two analytical reports.","exampleAgentPrompt":"I have a batch of scene geometry records with asset groups, dates, object counts, and triangle counts — can you normalise the string fields and compute the correlation between object_count and triangle_count across all rows? Here are up to 200 rows including groups like 'group-a' and 'group-b' from October 2026.","exampleUseCases":[{"title":"3D Asset complexity correlation check","prompt":"I've got 150 scene geometry records from my game engine export with asset_group names, dates, object counts and triangle counts — can you normalise the string fields and tell me how strongly object_count and triangle_count are correlated across all of them?"},{"title":"Pipeline data quality for scene exports","prompt":"Before I hand off these scene geometry records to our renderer, can you normalise the asset_group strings and run a two-measure correlation on object_count vs triangle_count for these 80 rows dated from 2026-09-01 to 2026-09-30?"},{"title":"Weekly scene complexity analytics report","prompt":"Here's this week's scene data export — 200 rows with row IDs, asset groups, dates, object counts and triangle counts. Run string normalisation and give me the correlation report between object and triangle counts so I can track scene complexity trends."}],"resultDescription":"Returns two analytical reports: (1) a string normalisation report cleaning and standardising text fields such as asset_group across submitted rows, and (2) a pairwise correlation analysis between object_count and triangle_count measures across up to 200 submitted scene geometry records. All processing is local with no external lookups.","failureModes":["Submitting more than 200 rows returns a validation error","Missing required fields (row_id, date, asset_group, object_count, triangle_count) causes row rejection","Malformed date strings not matching YYYY-MM-DD pattern are rejected","Null values in both numeric measures may reduce correlation statistical validity","Empty rows array returns an error"],"whenToPreferThis":"Choose this endpoint when you have scene geometry tabular data with both string fields needing normalisation and two numeric measures (object_count, triangle_count) you want correlated in a single cheap call. Ideal for 3D pipeline QA, game asset analytics, or rendering preparation workflows where you need both data cleaning and statistical relationship analysis in one pass without external dependencies.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T12:43:14.734Z","isFirstParty":false,"canonicalSlug":"scene-geometry-string-normalisation-two-measure-correlation-46e73648"}