{"uid":"cap_3xKfbqzwsR1sec9XFM2L8","slug":"tutorial-completion-record-quality-audit-string-normalisation-keyed-3140da65","name":"Tutorial Completion — Record Quality Audit + String Normalisation + Keyed Dataset Comparison","description":"Tutorial completion — Record quality audit + String normalisation + Keyed dataset comparison: Record quality audit + String normalisation + Keyed dataset comparison 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-20-207?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}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"starts":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"game_area":{"type":"string","default":"","maxLength":80},"completions":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","starts":10,"game_area":"group-a","completions":1},{"date":"2026-10-02","row_id":"row-2","starts":20,"game_area":"group-b","completions":2},{"date":"2026-10-03","row_id":"row-3","starts":15,"game_area":"group-a","completions":3},{"date":"2026-10-04","row_id":"row-4","starts":30,"game_area":"group-b","completions":4}],"maxItems":200,"minItems":1},"other":{"type":"array","items":{"type":"object","required":["row_id","game_area","date","starts","completions"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","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":21,"game_area":"group-b","completions":2},{"date":"2026-10-03","row_id":"row-3","starts":17,"game_area":"group-a","completions":3},{"date":"2026-10-04","row_id":"row-4","starts":33,"game_area":"group-b","completions":4}],"maxItems":200,"minItems":0}}},"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_0XK82UqS8g2jt7J0TiK8J","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 up to 200 tutorial completion records (starts/completions) across three reports: record quality audit, string normalization, and keyed dataset comparison between two supplied datasets.","exampleAgentPrompt":"Can you run a quality audit, string normalization, and dataset comparison on my two sets of tutorial completion records? I have a primary dataset and a comparison dataset, each with up to 200 rows containing row_id, game_area, date, starts, and completions fields.","exampleUseCases":[{"title":"Tutorial funnel data quality check","prompt":"I have a CSV of tutorial completion data for our game with columns row_id, game_area, date, starts, and completions — can you audit it for quality issues and normalize the game_area strings? There are about 150 rows."},{"title":"Reconcile two tutorial dataset versions","prompt":"We have two versions of our tutorial completion data from last month and this month, each with the same row IDs but potentially different starts and completions values — can you compare them side by side and tell me what changed?"},{"title":"Detect inconsistencies across game areas","prompt":"Before I merge our tutorial completion exports from two different systems, can you check both datasets (around 80 rows each) for record quality problems and flag any mismatches between them by row key?"}],"resultDescription":"Returns three independent reports: (1) a record quality audit flagging nulls, out-of-range values, and structural issues; (2) a string normalization report showing cleaned/standardized game_area and other string fields; (3) a keyed dataset comparison report showing row-level differences between the primary and secondary datasets matched on row_id. No external lookups or predictions are made — all analysis is local.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required fields (row_id, game_area, date, starts, completions) in any row — validation error","Invalid date format (not YYYY-MM-DD) — schema validation failure","Both datasets empty or malformed — no comparison report generated","Payment not fulfilled via x402 — 402 response returned before processing"],"whenToPreferThis":"Choose this endpoint when you need a bundled, cost-efficient batch of three data quality operations on tutorial completion records in a single call: quality auditing, string normalization, and keyed comparison between two datasets. It is ideal for game analytics or e-learning pipelines that need to validate and reconcile completion funnel data without sending data to external enrichment services. Prefer it over separate single-purpose endpoints when all three reports are needed simultaneously for up to 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-30T19:08:40.745Z","isFirstParty":false,"canonicalSlug":"tutorial-completion-record-quality-audit-string-normalisation-keyed-3140da65"}