{"uid":"cap_pM0ri-SXmJ1MDQFbbIp8D","slug":"physics-scenes-string-normalisation-and-numeric-row-ordering-5f79f2d5","name":"Physics Scenes String Normalisation and Numeric Row Ordering","description":"Physics scenes — String normalisation + Numeric row ordering: String normalisation + Numeric row ordering 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-08-025?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_h_c3K8S3B7VzkzQfagKp7","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 orders rows numerically for physics simulation scene records containing body_count and step_ms metrics, producing two analytical reports.","exampleAgentPrompt":"Can you run string normalisation and numeric row ordering on my physics scene records? I have 4 rows with game areas like 'group-a' and 'group-b', body counts of 10, 20, 15, and 30, and step times of 1, 2, 3, and 4 ms — sort and normalise by body_count.","exampleUseCases":[{"title":"Ranking physics scenes by simulation load","prompt":"I have a list of physics simulation scenes with body counts and step times — can you normalise the area labels and sort all the rows by body_count so I can see which scenes are most computationally heavy? Here are up to 50 rows with row IDs, dates, game areas, body_count, and step_ms values."},{"title":"Cleaning step_ms data for performance review","prompt":"We're doing a performance review of our game's physics engine. Can you take these 80 physics scene records and give me normalised strings for the game_area field plus a numeric row ordering based on step_ms?"},{"title":"Preparing physics data for reporting pipeline","prompt":"Before I feed these physics scene records into our reporting dashboard, I need two things: string normalisation on the game area names and the rows sorted numerically by body_count. I have about 120 rows — can you process them and give me both reports?"}],"resultDescription":"Two analytical reports: one with normalised string representations of the game_area field, and one with rows ordered numerically by the selected field (body_count or step_ms). Up to 200 rows processed per call, with no live lookups or external data augmentation.","failureModes":["More than 200 rows submitted — request rejected due to maxItems limit","Missing required fields (row_id, game_area, date, body_count, step_ms) — validation error","Invalid date format (not YYYY-MM-DD) — schema validation failure","Numeric values outside allowed range (±1,000,000,000,000) — rejected","Invalid field enum value (not body_count or step_ms) — error returned","Empty rows array — minItems:1 constraint violated"],"whenToPreferThis":"Choose this endpoint when you have tabular physics simulation scene data (body_count, step_ms) and need both string normalisation and numeric row ordering in a single call, without requiring any live data lookups, external APIs, or predictions. Ideal for pre-processing game physics records before feeding into dashboards or pipelines, where local analytical computation on up to 200 rows suffices and cost must be kept minimal ($0.01 per call).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T12:50:00.708Z","isFirstParty":false,"canonicalSlug":"physics-scenes-string-normalisation-and-numeric-row-ordering-5f79f2d5"}