{"uid":"cap_m9vuiJvYDh0SpG0xMQx6d","slug":"physics-scenes-string-normalisation-secondary-measure-weighted-mean-0d32122f","name":"Physics Scenes — String Normalisation + Secondary-Measure Weighted Mean","description":"Physics scenes — String normalisation + Secondary-measure weighted mean: String normalisation + Secondary-measure weighted mean for supplied physics scenes records (body_count, step_ms). 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-game-08-034?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_-haOI8NFnA3wJMCzyHfHE","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":"Computes string normalisation and secondary-measure weighted mean analytics for physics simulation scene records (body_count, step_ms) in a single call returning two reports.","exampleAgentPrompt":"Run string normalisation and secondary-measure weighted mean reports on my physics scene data — I have 4 rows with game areas group-a and group-b, body_count values of 10, 20, 15, 30, step_ms values of 1, 2, 3, 4, dated from 2026-10-01 to 2026-10-04, and I want to analyze the body_count field.","exampleUseCases":[{"title":"Physics engine step-time analysis","prompt":"I have 50 physics simulation scene records with body counts and step times in milliseconds across multiple game areas — can you run string normalisation on the game area labels and compute a secondary-measure weighted mean for step_ms so I can see which areas are performing differently?"},{"title":"Game area body count aggregation","prompt":"Analyze my physics scene dataset of 120 rows: each row has a date, a game_area label, a body_count, and a step_ms value. Run string normalisation and weighted mean reports on body_count so I can compare physics load across game areas."},{"title":"Simulation data quality and weighting check","prompt":"I've got about 80 physics scene records from our simulation pipeline with body_count and step_ms columns — please normalize the string fields and give me a secondary-measure weighted mean report on step_ms to check if our simulation timestep scales with scene complexity."}],"resultDescription":"Returns two analytical reports: (1) a string normalisation report for the game_area and other string fields in the supplied rows, and (2) a secondary-measure weighted mean report for the selected numeric field (body_count or step_ms) using the other measure as the weight — all computed locally against the supplied data with no external lookups.","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) fails schema validation","Numeric values outside allowed range (-1e12 to 1e12) rejected","All-null values for the selected field may produce undefined weighted mean","Payment not processed — endpoint returns 402 and no report is generated"],"whenToPreferThis":"Choose this endpoint when you have physics simulation scene records with body_count and step_ms columns and need both string normalisation and secondary-measure weighted mean analytics in a single low-cost call ($0.01 USDC for both reports). Ideal for game developers or simulation engineers doing batch offline analysis of up to 200 scene records without needing live data, predictions, or external enrichment.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T12:32:21.757Z","isFirstParty":false,"canonicalSlug":"physics-scenes-string-normalisation-secondary-measure-weighted-mean-0d32122f"}