{"uid":"cap_OB2DDrNxkHTxyGnnfGCO1","slug":"physics-scenes-record-quality-audit-string-normalisation-date-by-1a133155","name":"Physics Scenes — Record Quality Audit + String Normalisation + Date by Category Pivot","description":"Physics scenes — Record quality audit + String normalisation + Date by category pivot: Record quality audit + String normalisation + Date by category pivot for supplied physics scenes records (body_count, step_ms). 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-game-08-206?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","game_area","date","body_count","step_ms"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"step_ms":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"game_area":{"type":"string","default":"","maxLength":80},"body_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","step_ms":1,"game_area":"group-a","body_count":10},{"date":"2026-10-02","row_id":"row-2","step_ms":2,"game_area":"group-b","body_count":20},{"date":"2026-10-03","row_id":"row-3","step_ms":3,"game_area":"group-a","body_count":15},{"date":"2026-10-04","row_id":"row-4","step_ms":4,"game_area":"group-b","body_count":30}],"maxItems":200,"minItems":1},"field":{"enum":["body_count","step_ms"],"type":"string","default":"body_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_5XtD05P2R_twQHk2tHV_Y","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 analytical reports on physics scene records (body_count, step_ms): a record quality audit, string normalisation, and a date-by-category pivot, for up to 200 rows.","exampleAgentPrompt":"Can you run all three reports — record quality audit, string normalisation, and date-by-category pivot — on my physics scene data? I have up to 50 rows with fields row_id, game_area, date, body_count, and step_ms, and I want to analyse the body_count field.","exampleUseCases":[{"title":"Game physics dataset quality check","prompt":"I have a batch of physics scene records from our game with body_count and step_ms values across different game areas — can you run a record quality audit on them to flag any issues, normalise the game_area strings, and pivot the data by date and category?"},{"title":"Step timing analysis by game area","prompt":"Run the three analytical reports on my physics simulation logs — quality audit, string normalisation, and date pivot — focusing on the step_ms field. I have about 120 rows with game_area, date, and step_ms columns."},{"title":"Pre-pipeline data validation for physics engine","prompt":"Before I load this physics scene dataset into our pipeline, can you audit the record quality, normalise the string fields, and give me a date-by-category pivot for the body_count metric? There are around 80 rows in total."}],"resultDescription":"Three independent analytical reports delivered together: (1) a record quality audit flagging data issues such as nulls or out-of-range values, (2) string normalisation output for the game_area and other string fields, and (3) a date-by-category pivot table summarising the selected numeric field (body_count or step_ms) grouped by date and game area.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Missing required fields (row_id, game_area, date, body_count, step_ms) cause validation errors","Invalid date format (not YYYY-MM-DD) causes schema rejection","Numeric values outside allowed range cause validation failure","Empty rows array returns an error"],"whenToPreferThis":"Choose this endpoint when you have physics scene simulation records with body_count and step_ms fields and need all three of a data quality audit, string normalisation, and date-by-category pivot in a single low-cost call. It is ideal for batch offline analysis of up to 200 rows with no need for live data lookup or external prediction.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-04T18:49:59.445Z","isFirstParty":false,"canonicalSlug":"physics-scenes-record-quality-audit-string-normalisation-date-by-1a133155"}