{"uid":"cap_Fcn3Al158xSj0HdOPoEYV","slug":"tutorial-completion-numeric-row-ordering-explicit-missing-value-fill-832fcf27","name":"Tutorial Completion — Numeric Row Ordering + Explicit Missing-Value Fill","description":"Tutorial completion — Numeric row ordering + Explicit missing-value fill: Numeric row ordering + Explicit missing-value fill for supplied tutorial completion records (starts, completions). 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-20-124?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","game_area","date","starts","completions"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"starts":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"game_area":{"type":"string","default":"","maxLength":80},"completions":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","starts":10,"game_area":"group-a","completions":1},{"date":"2026-10-02","row_id":"row-2","starts":20,"game_area":"group-b","completions":2},{"date":"2026-10-03","row_id":"row-3","starts":15,"game_area":"group-a","completions":3},{"date":"2026-10-04","row_id":"row-4","starts":30,"game_area":"group-b","completions":4}],"maxItems":200,"minItems":1},"field":{"enum":["starts","completions"],"type":"string","default":"starts"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"}}},"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_mQG9aa22Nv-cBThoeoXVl","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":"Sorts tutorial completion records by row order and fills missing numeric values (starts/completions) using zero, mean, or median imputation, producing two analytical reports for up to 200 rows.","exampleAgentPrompt":"I have up to 200 rows of game tutorial data with row_id, game_area, date, starts, and completions — some completions values are null. Can you sort the rows numerically and fill the missing completions values using median imputation, then give me the two analytical reports?","exampleUseCases":[{"title":"Clean game onboarding funnel data","prompt":"I've got 150 rows of tutorial completion records for my mobile game — each row has a date, game_area, starts, and completions, but some starts values are missing. Can you sort them in row order and fill the missing starts using mean imputation, then give me both reports?"},{"title":"Zero-fill missing completions for reporting","prompt":"My tutorial dataset has about 80 rows across different game areas and dates, but several completions entries are null. Please sort the data numerically by row and fill all missing completions with zero so I can generate the two summary reports."},{"title":"Median imputation before funnel analysis","prompt":"I'm analyzing tutorial drop-off across game areas and my dataset of 200 rows has some null values in the completions column. Sort the rows by row order and use median to fill in the missing completions, then produce the two analytical reports for me."}],"resultDescription":"Returns two analytical reports covering the provided tutorial completion records (up to 200 rows), with rows sorted in numeric order and missing values in the specified field (starts or completions) filled using the chosen method (zero, mean, or median).","failureModes":["More than 200 rows submitted — request rejected with maxItems violation","Missing required fields (row_id, game_area, date, starts, completions) on any row — validation error","Invalid date format (not YYYY-MM-DD) — pattern validation failure","Invalid method enum value (not zero/mean/median) — schema validation error","Invalid field enum value (not starts/completions) — schema validation error","Empty rows array — minItems violation"],"whenToPreferThis":"Choose this endpoint when you have tutorial completion data (starts/completions per game area and date) that needs both numeric row ordering and missing-value imputation in a single pass, producing two packaged analytical reports. Ideal for lightweight data cleaning pipelines on gaming or educational funnel data up to 200 rows without needing an external data science environment.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-30T12:37:54.034Z","isFirstParty":false,"canonicalSlug":"tutorial-completion-numeric-row-ordering-explicit-missing-value-fill-832fcf27"}