{"uid":"cap_Bs9k7Htf_EBwA7l5r-F-g","slug":"tutorial-completion-data-audit-string-normalisation-trailing-mean-ddf4f293","name":"Tutorial Completion Data Audit, String Normalisation & Trailing Mean Series","description":"Tutorial completion — Record quality audit + String normalisation + Trailing mean series: Record quality audit + String normalisation + Trailing mean series for supplied tutorial completion records (starts, completions). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-game-20-199?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"},"window":{"type":"integer","default":2,"maximum":200,"minimum":2}}},"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_AX4NWHAnBysQQPrNRbd4h","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":"Runs three local analytical reports on tutorial completion row data: record quality audit, string normalisation, and a trailing mean series for starts or completions.","exampleAgentPrompt":"Can you audit the quality of these tutorial completion records, normalise the game_area strings, and give me a trailing mean series for 'completions' with a window of 3? Here are up to 200 rows with fields row_id, game_area, date, starts, and completions.","exampleUseCases":[{"title":"Daily tutorial completion data quality check","prompt":"I have 150 rows of daily tutorial starts and completions across different game areas — can you run a record quality audit, normalise the game_area strings, and compute a trailing mean for 'starts' with a window of 5 so I can see trends?"},{"title":"Game area string cleanup and rolling average","prompt":"My tutorial dataset has inconsistent game_area labels and I want a 7-day rolling average on completions. Can you audit the records, normalise those strings, and generate the trailing mean series for the 'completions' field with window 7?"},{"title":"Pre-analysis data validation for tutorial funnel","prompt":"Before I pass these tutorial completion records into my dashboard, can you do a quality audit, clean up the string fields, and calculate a trailing mean series with window 4 on 'starts' so I can spot any anomalies?"}],"resultDescription":"Returns three independent reports: (1) a record quality audit flagging issues such as nulls, out-of-range values, and missing fields; (2) a string normalisation report for game_area and other text fields; and (3) a trailing mean series for the selected numeric field ('starts' or 'completions') computed over the specified rolling window. All reports are generated locally against the supplied data, with no external lookups.","failureModes":["Input array exceeds 200 rows — request will be rejected","Missing required fields (row_id, game_area, date, starts, completions) cause row-level errors or rejection","Invalid date format (not YYYY-MM-DD) fails pattern validation","Window size outside 2–200 range causes validation error","Field enum value other than 'starts' or 'completions' is rejected","Empty row array (minItems:1 not met) returns error"],"whenToPreferThis":"Choose this endpoint when you need three standard analytical reports — quality audit, string normalisation, and trailing mean — on tutorial completion data in a single low-cost call, without requiring external data access, ML predictions, or real-time lookups. Best suited for batch data hygiene and trend analysis on up to 200 rows of game tutorial engagement data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-03T12:42:03.942Z","isFirstParty":false,"canonicalSlug":"tutorial-completion-data-audit-string-normalisation-trailing-mean-ddf4f293"}