{"uid":"cap_C789PkG6yHc5OsloOjTyc","slug":"tutorial-completion-data-auditor-quality-audit-string-normalisation-3a1602f2","name":"Tutorial Completion Data Auditor — Quality Audit + String Normalisation + Grouped Numeric Summary","description":"Tutorial completion — Record quality audit + String normalisation + Grouped numeric summary: Record quality audit + String normalisation + Grouped numeric summary 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-20-194?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__-Mtx42-msRV-7BpwbpLv","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 records: a record quality audit, string normalisation, and a grouped numeric summary — all in a single call for up to 200 rows.","exampleAgentPrompt":"Can you audit and summarise my tutorial completion data? I have up to 200 rows with fields like row_id, game_area, date, starts, and completions — I need a record quality audit, string normalisation on the game_area field, and a grouped numeric summary grouped by game_area for the 'completions' field.","exampleUseCases":[{"title":"Game tutorial funnel quality check","prompt":"I have a dataset of tutorial starts and completions across different game areas for October 2026 — can you run a quality audit on the records, normalise the game_area strings, and give me a grouped numeric summary of completions by game_area? Here's the data: row-1, group-a, 2026-10-01, 10 starts, 1 completion; row-2, group-b, 2026-10-02, 20 starts, 2 completions."},{"title":"Onboarding completion report for product team","prompt":"Our product team needs a clean summary of tutorial completion rates across all onboarding areas. Can you audit the data quality of these 150 tutorial records, normalise the area name strings, and produce a grouped numeric summary of starts per area so we can spot which zones have the most drop-off?"},{"title":"Data pipeline pre-processing validation","prompt":"Before we load this batch of 200 tutorial completion rows into our dashboard, can you run a record quality audit and string normalisation pass, and also give us a grouped numeric summary of the completions field broken down by game_area? I want to catch any dirty data before it hits production."}],"resultDescription":"Returns three independent reports: (1) a record quality audit highlighting missing, malformed, or out-of-range values; (2) normalised string output for text fields like game_area; and (3) a grouped numeric summary (e.g. totals, counts, averages) of the selected numeric field (starts or completions) grouped by game_area — all computed locally without external lookups.","failureModes":["Exceeding 200 rows results in rejection or truncation","Rows missing required fields (row_id, game_area, date, starts, completions) cause validation errors","Dates not matching YYYY-MM-DD pattern are flagged or rejected","Null numeric values may be excluded from grouped summary calculations","Invalid field enum value (not 'starts' or 'completions') causes a parameter error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 tutorial completion records and need three combined analytical reports — quality audit, string normalisation, and grouped numeric summary — in a single low-cost call ($0.01 USDC). It is ideal for pre-processing tutorial data before dashboard ingestion, or for ad-hoc data quality checks on game tutorial funnels without needing a full data pipeline or external BI tool.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-28T06:47:42.276Z","isFirstParty":false,"canonicalSlug":"tutorial-completion-data-auditor-quality-audit-string-normalisation-3a1602f2"}