{"uid":"cap_cf0X0NLhOzWN7mEueDdqB","slug":"tutoring-sessions-base-100-series-explicit-missing-value-fill-df42277e","name":"Tutoring Sessions Base-100 Series + Explicit Missing-Value Fill","description":"Tutoring sessions — Base-100 series + Explicit missing-value fill: Base-100 series + Explicit missing-value fill for supplied tutoring sessions records (session_minutes, session_count). 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-education-16-169?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","course_group","date","session_minutes","session_count"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"course_group":{"type":"string","default":"","maxLength":80},"session_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"session_minutes":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","course_group":"group-a","session_count":1,"session_minutes":10},{"date":"2026-10-02","row_id":"row-2","course_group":"group-b","session_count":2,"session_minutes":20},{"date":"2026-10-03","row_id":"row-3","course_group":"group-a","session_count":3,"session_minutes":15},{"date":"2026-10-04","row_id":"row-4","course_group":"group-b","session_count":4,"session_minutes":30}],"maxItems":200,"minItems":1},"field":{"enum":["session_minutes","session_count"],"type":"string","default":"session_minutes"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"},"base_index":{"type":"integer","default":0,"maximum":199,"minimum":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_kXf99FNE-k6XNjaRSPVK4","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":"Generates a base-100 indexed time series and fills missing values (zero, mean, or median) for tutoring session records (session_minutes or session_count) across up to 200 rows.","exampleAgentPrompt":"I have tutoring session records for two course groups — can you normalize the session_minutes field to a base-100 index starting from row 0, and fill any missing values using the median, for this dataset of 8 rows?","exampleUseCases":[{"title":"Normalize session duration across course groups","prompt":"I have daily tutoring session records for Math and English groups with some missing session_minutes values — can you fill the gaps using the median and then index the session_minutes as a base-100 series starting from the first row?"},{"title":"Impute missing session count for trend reporting","prompt":"My tutoring dataset has a few null session_count values across 50 rows. Can you fill those missing counts using the mean and produce a base-100 normalized series so I can compare growth over time?"},{"title":"Baseline comparison of session length by date","prompt":"I want to compare how session_minutes changed relative to day 5 (row index 4) across my tutoring records — please fill any null values with zero and index everything to that baseline row."}],"resultDescription":"Returns two analytical reports: a base-100 indexed series for the chosen field (session_minutes or session_count) anchored to the specified base_index row, and an explicit missing-value fill report replacing nulls with zero, mean, or median — both computed locally on the supplied rows (up to 200).","failureModes":["Fewer than 1 row supplied — minimum row count not met","More than 200 rows submitted — exceeds maxItems limit","Invalid date format (not YYYY-MM-DD) causes schema validation failure","base_index out of range for the supplied row count","All values for chosen field are null — mean/median cannot be computed","Missing required fields (row_id, course_group, date) cause rejection","Payment not attached or insufficient USDC causes 402 response"],"whenToPreferThis":"Choose this endpoint when you have tabular tutoring session records (up to 200 rows) and need both a base-100 normalized time series and missing-value imputation in a single call for session_minutes or session_count, without requiring any external data lookup or live prediction. It is well-suited for offline batch preparation of education analytics datasets where null handling and relative indexing are both needed simultaneously.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T18:51:53.815Z","isFirstParty":false,"canonicalSlug":"tutoring-sessions-base-100-series-explicit-missing-value-fill-df42277e"}