{"uid":"cap_6LFdrvJdQRWbhTbcU4GVo","slug":"tutorial-completion-adjacent-row-changes-explicit-missing-value-fill-319ecbd6","name":"Tutorial Completion — Adjacent Row Changes + Explicit Missing-Value Fill","description":"Tutorial completion — Adjacent row changes + Explicit missing-value fill: Adjacent row changes + 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-20-162?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_EH8Zj2w1LnCCDnqloHCWM","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 data (starts and completions) by computing adjacent row changes and filling missing values using a chosen strategy, returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"I have 5 rows of tutorial completion data for two game areas over the past week — some starts values are null. Can you compute the adjacent row changes and fill the missing starts values using the median method?","exampleUseCases":[{"title":"Daily game tutorial funnel analysis","prompt":"I've got daily tutorial data for 'zone-alpha' and 'zone-beta' with some missing completions values. Run adjacent row changes and fill the nulls in the completions field using the mean — here are the rows for the past four days."},{"title":"Imputing missing starts for reporting","prompt":"My tutorial dataset has null starts values scattered across rows for October — can you fill those missing starts using zero and also show me the row-over-row changes in starts across those records?"},{"title":"Cleaning completion records before dashboard upload","prompt":"Before I upload this tutorial data to our dashboard I need two things: fill any missing completions values using median, and compute the adjacent row changes for completions. Here are 12 rows across three game areas."}],"resultDescription":"Returns two analytical reports: (1) adjacent row changes showing the delta between consecutive rows for the target field, and (2) explicit missing-value fills replacing nulls in the target field using the chosen strategy (zero, mean, or median). Both reports are computed locally from the supplied rows with no external lookup.","failureModes":["Input array exceeds 200 rows — request rejected","Invalid date format (must be YYYY-MM-DD) — validation error","Unknown fill method (must be zero, mean, or median) — enum validation failure","Missing required fields (row_id, game_area, date, starts, completions) — schema error","Empty rows array — minimum item count not met"],"whenToPreferThis":"Choose this endpoint when you need two specific data-cleaning and analysis operations — adjacent row delta computation and explicit null imputation — applied to tutorial or game completion records in a single call. It is ideal for small-to-medium datasets (up to 200 rows) where you want local, deterministic analytics without any external API calls, predictions, or professional assessments. Prefer it over general-purpose analytics platforms when cost certainty ($0.01 per call for two reports) and simplicity matter.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T12:33:28.029Z","isFirstParty":false,"canonicalSlug":"tutorial-completion-adjacent-row-changes-explicit-missing-value-fill-319ecbd6"}