{"uid":"cap_t5ureAhhE1cypHVcTZlM7","slug":"quest-pacing-string-normalisation-exact-row-deduplication-581290a6","name":"Quest Pacing — String Normalisation + Exact Row Deduplication","description":"Quest pacing — String normalisation + Exact row deduplication: String normalisation + Exact row deduplication for supplied quest pacing records (duration_minutes, objective_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-game-04-020?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","game_area","date","duration_minutes","objective_count"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"game_area":{"type":"string","default":"","maxLength":80},"objective_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"duration_minutes":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","game_area":"group-a","objective_count":1,"duration_minutes":10},{"date":"2026-10-02","row_id":"row-2","game_area":"group-b","objective_count":2,"duration_minutes":20},{"date":"2026-10-03","row_id":"row-3","game_area":"group-a","objective_count":3,"duration_minutes":15},{"date":"2026-10-04","row_id":"row-4","game_area":"group-b","objective_count":4,"duration_minutes":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_cdeNAVNNhOA2jzRBaUDsR","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 removes exact duplicate rows from quest pacing records containing duration_minutes and objective_count fields, returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"Clean up my quest pacing records by normalising the string fields and removing exact duplicate rows — I have up to 200 rows with fields like row_id, game_area, date, duration_minutes, and objective_count, and I need 2 analytical reports back.","exampleUseCases":[{"title":"Quest design data cleanup pipeline","prompt":"I have a batch of quest pacing records from our game — each row has a row_id, game_area, date, duration_minutes, and objective_count. Can you normalise the string fields and strip out any exact duplicate rows, then give me 2 reports on what was found?"},{"title":"Game area objective count deduplication","prompt":"Before I import these 150 quest pacing entries into our dashboard, please run string normalisation and exact deduplication on them — fields are row_id, game_area, date, duration_minutes, and objective_count — and return the 2 analytical reports."},{"title":"QA check on quest duration records","prompt":"We captured quest telemetry across several game areas and I suspect there are duplicate rows and inconsistent string formatting in the game_area and date fields. Can you normalise strings and deduplicate the records — up to 200 rows with duration_minutes and objective_count — and produce 2 reports?"}],"resultDescription":"Two independent analytical reports covering string normalisation results (standardised/cleaned string fields) and exact row deduplication results (identified and removed duplicate records) for the submitted quest pacing rows. No live lookups or external data are used; all analysis is performed locally on the supplied data.","failureModes":["More than 200 rows submitted — request rejected due to maxItems constraint","Missing required fields (row_id, game_area, date, duration_minutes, objective_count) — validation error","Invalid date format (not YYYY-MM-DD) — schema validation failure","Empty rows array — minItems constraint violation","Payment not included or insufficient — x402 payment required error"],"whenToPreferThis":"Choose this endpoint when you have quest pacing game data (duration_minutes, objective_count) that needs both string field normalisation and exact duplicate row removal in a single call, returning two analytical reports. It is ideal for offline/batch data cleaning pipelines where no live lookups, predictions, or external actions are needed, and where the dataset fits within 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T12:33:08.819Z","isFirstParty":false,"canonicalSlug":"quest-pacing-string-normalisation-exact-row-deduplication-581290a6"}