{"uid":"cap_9QOOi60REMTCFQmb9OSvu","slug":"tutorial-completion-iqr-outlier-flags-and-explicit-missing-value-fill-3175f82e","name":"Tutorial Completion IQR Outlier Flags and Explicit Missing-Value Fill","description":"Tutorial completion — IQR outlier flags + Explicit missing-value fill: IQR outlier flags + 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-20-180?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_iowD1a22o0Glg-ny7-zMA","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":"Analyzes tutorial completion records (starts and completions) to flag IQR-based outliers and fill missing values using a chosen method, returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"Can you flag any IQR outliers and fill in missing completions using median imputation in my tutorial data? I have rows for game areas group-a and group-b from October 2026, with starts and completions counts, some of which are null.","exampleUseCases":[{"title":"Cleaning game tutorial funnel data","prompt":"I have 150 rows of tutorial funnel data across several game areas with some missing 'starts' values — can you fill those nulls using median and also flag any rows where 'completions' look like IQR outliers?"},{"title":"Detecting anomalous completion spikes","prompt":"Run an IQR outlier check on my tutorial completions data for the past month — I want to know which rows have suspiciously high or low completion counts before I report them to the team."},{"title":"Imputing missing starts before reporting","prompt":"Before I generate my weekly tutorial engagement report, I need to fill in the missing 'starts' values using zero-fill across my 80 game area rows — can you do that and give me the two analytical reports?"}],"resultDescription":"Returns two reports: (1) an IQR-based outlier flag report identifying which rows in the specified field fall outside the interquartile range fence, and (2) an explicit missing-value fill report showing which null entries were imputed and with what value (zero, mean, or median), all computed locally without any external lookup or prediction.","failureModes":["Fewer than 1 row supplied — minItems constraint violation","More than 200 rows supplied — maxItems constraint exceeded","Invalid date format (not YYYY-MM-DD) causes schema rejection","Missing required fields (row_id, game_area, date, starts, completions) causes validation error","Invalid method enum value (not zero, mean, or median) causes rejection","Invalid field enum value (not starts or completions) causes rejection","Numeric values outside allowed range cause schema rejection"],"whenToPreferThis":"Choose this endpoint when you need both IQR-based outlier detection and missing-value imputation on tutorial completion records (starts/completions) in a single low-cost call. It is purpose-built for game tutorial funnel data with game_area and date dimensions, and delivers two bundled analytical reports for up to 200 rows at $0.01 USDC. Prefer it over general-purpose data tools when your dataset is already structured with the required schema fields and you want fast, offline statistical cleaning without external API dependencies or prediction services.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T18:37:17.321Z","isFirstParty":false,"canonicalSlug":"tutorial-completion-iqr-outlier-flags-and-explicit-missing-value-fill-3175f82e"}