{"uid":"cap_r7zmzhQX8o5RW2DCdUMTX","slug":"tutorial-completion-string-normalisation-and-daily-sum-series-831c29f2","name":"Tutorial Completion String Normalisation and Daily Sum Series","description":"Tutorial completion — String normalisation + Daily sum series: String normalisation + Daily sum series 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-20-027?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_TBXtqRznvwA9tS6RMIZzs","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 two local analytical reports (string normalisation and daily sum series) on supplied tutorial completion records (starts and completions) for up to 200 rows.","exampleAgentPrompt":"I have tutorial completion records for group-a and group-b from October 1–4, 2026 — each row has a date, game area, starts, and completions. Can you normalize the game_area strings and give me a daily sum series for the starts field across all 4 rows?","exampleUseCases":[{"title":"Daily tutorial starts trend for game regions","prompt":"I have 150 rows of tutorial data with dates, game areas, starts, and completions from the past quarter. Can you normalize the game area names and produce a daily sum series for the starts field so I can see engagement trends over time?"},{"title":"Completions rollup for onboarding audit","prompt":"We're auditing our onboarding funnel — I have up to 200 rows with row IDs, dates, game areas, and completion counts. Please normalize the area labels and generate a daily sum series for the completions field so we can spot drop-off days."},{"title":"Comparing tutorial starts across two groups","prompt":"I've got two groups of tutorial records — group-a and group-b — each with daily start counts. Can you normalize the group name strings and compute a daily sum series for starts so I can compare them side by side?"}],"resultDescription":"Returns two independent analytical reports computed locally on the supplied data: (1) a string normalisation report cleaning the game_area labels, and (2) a daily sum series aggregating the chosen field (starts or completions) by date — all derived from the provided rows with no external lookups.","failureModes":["Fewer than 1 row supplied returns a validation error","More than 200 rows in the array exceeds the maxItems limit and is rejected","Invalid date format (not YYYY-MM-DD) causes schema validation failure","Missing required fields (row_id, game_area, date, starts, completions) causes rejection","Null numeric values for all rows may produce empty or zero sum series","Invalid field enum value (not 'starts' or 'completions') causes rejection"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of tutorial or game completion records and need both string normalisation of category labels and a daily sum time series in a single low-cost call. It is ideal for lightweight, self-contained analytics on supplied data without needing live lookups, predictions, or external data enrichment. At $0.01 USDC for two reports, it is cost-effective for batch analytical passes on structured engagement data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-30T12:36:55.040Z","isFirstParty":false,"canonicalSlug":"tutorial-completion-string-normalisation-and-daily-sum-series-831c29f2"}