{"uid":"cap_3yQ5kFnmiBgpx436UdLd_","slug":"tutorial-completion-data-quality-audit-record-quality-string-136e3753","name":"Tutorial Completion Data Quality Audit — Record Quality, String Normalisation & IQR Outlier Flags","description":"Tutorial completion — Record quality audit + String normalisation + IQR outlier flags: Record quality audit + String normalisation + IQR outlier flags 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-20-203?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"}}},"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_nEbsxdVkzJbQiszxSozTp","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 analytical reports on tutorial completion records (starts and completions): record quality audit, string normalisation, and IQR-based outlier detection — all locally, with no external calls.","exampleAgentPrompt":"Can you run a data quality audit, string normalisation, and IQR outlier check on these tutorial completion records — I have up to 150 rows with row_id, game_area, date, starts, and completions columns, and I want to flag on the 'completions' field?","exampleUseCases":[{"title":"Pre-analysis data hygiene for tutorial funnel","prompt":"I've got about 80 rows of tutorial completion data with game_area, date, starts, and completions columns — can you audit the record quality, normalise the string fields, and flag any IQR outliers in the 'starts' field before I hand this off to our analytics team?"},{"title":"Detecting anomalous completion spikes by game area","prompt":"We suspect some game areas have weirdly spiking completion numbers in our dataset — can you run IQR outlier flagging along with a full record quality audit and string normalisation on these 120 tutorial completion rows, looking at the 'completions' field?"},{"title":"Cleaning game tutorial data before dashboard import","prompt":"Before I import this tutorial data into our dashboard, can you do a record quality check, normalise any messy string values in game_area, and flag outliers using IQR — here are 60 rows with starts and completions per date and game area?"}],"resultDescription":"Three independent analytical reports: (1) a record quality audit identifying malformed, null, or inconsistent records; (2) a string normalisation report cleaning and standardising text fields like game_area; and (3) an IQR outlier flags report identifying statistically anomalous values in the selected numeric field (starts or completions). All analysis is performed locally on the submitted rows.","failureModes":["Input array exceeds 200 rows — request will be rejected","Missing required fields (row_id, game_area, date, starts, completions) causes validation error","Invalid date format (not YYYY-MM-DD) triggers schema rejection","No rows submitted (minItems:1 not met) causes error","Invalid 'field' enum value (not 'starts' or 'completions') causes rejection"],"whenToPreferThis":"Choose this endpoint when you need a bundled, cost-effective three-in-one data quality pass on tutorial completion records (up to 200 rows) covering quality auditing, string normalisation, and IQR outlier detection in a single API call. It is ideal for game analytics pipelines that need quick pre-processing validation of starts/completions data before downstream analysis, without requiring any external lookups or live data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T12:33:08.347Z","isFirstParty":false,"canonicalSlug":"tutorial-completion-data-quality-audit-record-quality-string-136e3753"}