{"uid":"cap_IRwLbbFmmOnkox0ELVMza","slug":"scene-geometry-string-normalisation-equal-width-histogram-eaf361d8","name":"Scene Geometry String Normalisation + Equal-Width Histogram","description":"Scene geometry — String normalisation + Equal-width histogram: String normalisation + Equal-width histogram 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-05-031?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"bins":{"type":"integer","default":5,"maximum":30,"minimum":1},"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_Qqu5uunOEI1FAcCxj_3wR","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 string normalisation and equal-width histogram analysis on scene geometry records (object_count, triangle_count) for up to 200 rows, returning two analytical reports.","exampleAgentPrompt":"Normalise the strings and generate a 10-bin equal-width histogram for the object_count field across these scene geometry records: row-1 (group-a, 2026-10-01, objects=10, triangles=1000), row-2 (group-b, 2026-10-02, objects=25, triangles=2500), row-3 (group-a, 2026-10-03, objects=40, triangles=5000).","exampleUseCases":[{"title":"Distribution check for object counts","prompt":"I have 50 scene geometry records across two asset groups and want to see how object counts are distributed — can you normalise the strings and bucket them into 8 equal-width histogram bins?"},{"title":"Triangle count spread for QA review","prompt":"Run string normalisation and a 5-bin equal-width histogram on my triangle_count data for these 30 scene records so I can spot which geometry ranges are most common before our QA pass."},{"title":"Asset group geometry profiling","prompt":"Can you analyse the object_count distribution across my scene geometry dataset — 120 rows covering groups alpha and beta — with string normalisation and 15 histogram bins so I can profile each group?"}],"resultDescription":"Two analytical reports: (1) a string normalisation report cleaning/standardising the string fields in the scene geometry records, and (2) an equal-width histogram report showing frequency counts per bin for the selected numeric field (object_count or triangle_count), using the specified number of bins (1–30, default 5), covering up to 200 input rows.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Invalid date format (not YYYY-MM-DD) causes validation error","Bins value outside 1–30 range causes schema validation failure","Missing required row fields (row_id, asset_group, date, object_count, triangle_count) causes rejection","All null values in selected numeric field may produce empty or degenerate histogram","Payment of 0.01 USDC not completed — request blocked"],"whenToPreferThis":"Use this endpoint when you have scene geometry tabular data (object_count and/or triangle_count per asset record) and need both string normalisation and a histogram frequency distribution in a single low-cost call. Ideal for 3D asset pipelines, game development QA, or rendering workflows where understanding the spread of geometry complexity is needed without external lookups or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T00:49:29.858Z","isFirstParty":false,"canonicalSlug":"scene-geometry-string-normalisation-equal-width-histogram-eaf361d8"}