{"uid":"cap_ACBPfAefXG8zzd8j9WHZ4","slug":"physics-scenes-string-normalisation-and-exact-row-deduplication-45406a83","name":"Physics Scenes String Normalisation and Exact Row Deduplication","description":"Physics scenes — String normalisation + Exact row deduplication: String normalisation + Exact row deduplication 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-08-020?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}}},"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_Q8NDU94PpV0j27BRK1rYI","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 strings and deduplicates exact rows in physics scene records (body_count, step_ms) for up to 200 rows, returning 2 analytical reports.","exampleAgentPrompt":"Can you clean up my physics scene records by normalising the game_area strings and removing exact duplicate rows? I have about 150 rows with fields like row_id, game_area, date, body_count, and step_ms — here's the data.","exampleUseCases":[{"title":"Game physics log deduplication","prompt":"I've got 120 physics scene log entries with body_count and step_ms values across different game areas — can you normalise the string fields and strip out any exact duplicate rows before I import them into our pipeline?"},{"title":"Simulation step data cleanup","prompt":"Here are 80 rows of physics simulation data with fields row_id, game_area, date, body_count, and step_ms. Please normalise all the string fields and identify and remove any exact duplicate records, then give me the two reports."},{"title":"Pre-analysis physics data audit","prompt":"Before we run analytics on our physics scene dataset, can you clean it up? We have 200 rows with game_area, body_count, and step_ms — normalise the strings and deduplicate any rows that are exactly the same."}],"resultDescription":"Two analytical reports: one covering string normalisation results (e.g. standardised game_area values) and one covering exact row deduplication findings (identified and removed duplicate rows), applied to the supplied physics scene records of up to 200 rows.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, game_area, date, body_count, step_ms) causes row rejection","Malformed date strings not matching YYYY-MM-DD pattern are rejected","Empty rows array returns an error","Values outside the numeric range for body_count or step_ms are rejected"],"whenToPreferThis":"Choose this endpoint when you have physics scene records with body_count and step_ms fields that need both string normalisation and exact row deduplication in a single call, and your dataset is 200 rows or fewer. It is a local analytical operation with no external lookups, making it deterministic and fast. Prefer it over more general data cleaning services when your data is specifically structured as game physics scene logs.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T12:32:43.661Z","isFirstParty":false,"canonicalSlug":"physics-scenes-string-normalisation-and-exact-row-deduplication-45406a83"}