{"uid":"cap_zpqhlTo9GgphVZaZ3BRi_","slug":"tutorial-completion-analytics-numeric-distribution-adjacent-row-changes-28d7b5a7","name":"Tutorial Completion Analytics — Numeric Distribution + Adjacent Row Changes","description":"Tutorial completion — Numeric distribution + Adjacent row changes: Numeric distribution + Adjacent row changes 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-20-077?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_MMfWVTXQd8v4RBR61QG8a","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) to produce a numeric distribution report and an adjacent-row-change report for up to 200 rows.","exampleAgentPrompt":"Can you run a numeric distribution and adjacent-row-change analysis on my tutorial starts data? Here are 4 records: row-1 on 2026-10-01 in group-a had 10 starts and 1 completion, row-2 on 2026-10-02 in group-b had 20 starts and 2 completions, row-3 on 2026-10-03 in group-a had 15 starts and 3 completions, row-4 on 2026-10-04 in group-b had 30 starts and 4 completions — analyze the 'starts' field.","exampleUseCases":[{"title":"Daily tutorial funnel monitoring","prompt":"I have a week of tutorial data for my game — each day has a game area, starts, and completions. Can you give me a numeric distribution and show how starts changed between consecutive rows? Here are the rows: row-1 2026-10-01 group-a 100 starts 40 completions, row-2 2026-10-02 group-b 150 starts 60 completions, row-3 2026-10-03 group-a 80 starts 30 completions. Analyze the 'completions' field."},{"title":"Comparing completion spikes across game areas","prompt":"I've got 5 records from two game areas for my tutorial tracking — can you compute the numeric distribution and adjacent row changes for the 'completions' field? row-1 2026-11-01 area-1 starts 200 completions 80, row-2 2026-11-02 area-2 starts 180 completions 90, row-3 2026-11-03 area-1 starts 220 completions 70, row-4 2026-11-04 area-2 starts 160 completions 110, row-5 2026-11-05 area-1 starts 240 completions 50."},{"title":"Post-update engagement change detection","prompt":"After our game update last week, I want to see how tutorial starts are shifting day over day. Can you run a numeric distribution plus adjacent row change report on these 6 rows using the 'starts' field? row-1 2026-12-01 zone-a 500 starts 200 completions, row-2 2026-12-02 zone-b 480 starts 190 completions, row-3 2026-12-03 zone-a 600 starts 210 completions, row-4 2026-12-04 zone-b 550 starts 230 completions, row-5 2026-12-05 zone-a 700 starts 280 completions, row-6 2026-12-06 zone-b 620 starts 260 completions."}],"resultDescription":"Returns two analytical reports: (1) a numeric distribution summary of the selected field (starts or completions) across all supplied rows, and (2) an adjacent-row-change report showing the difference between consecutive rows for the selected field. Both reports are generated locally from the supplied data with no external lookups.","failureModes":["Rows array is empty or missing — validation error","More than 200 rows supplied — rejected with maxItems error","Invalid date format (not YYYY-MM-DD) — pattern validation failure","Field value not in enum ['starts','completions'] — rejected","Null values in starts or completions may affect distribution calculations","Missing required fields (row_id, game_area, date, starts, completions) — schema validation error"],"whenToPreferThis":"Choose this endpoint when you have tabular tutorial completion records (starts and completions) and need both a statistical distribution overview and a row-to-row change analysis in a single call. It is ideal for game analytics workflows where you want to understand the spread of engagement metrics and detect consecutive-row shifts without setting up your own analytical pipeline. Best suited for datasets of up to 200 rows processed locally with no external data dependencies.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T18:37:14.802Z","isFirstParty":false,"canonicalSlug":"tutorial-completion-analytics-numeric-distribution-adjacent-row-changes-28d7b5a7"}