{"uid":"cap_27ebp4r7ha2p5VdD7WbQy","slug":"tutoring-sessions-string-normalisation-trailing-mean-series-084cc301","name":"Tutoring Sessions String Normalisation + Trailing Mean Series","description":"Tutoring sessions — String normalisation + Trailing mean series: String normalisation + Trailing mean series 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-16-028?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"},"window":{"type":"integer","default":2,"maximum":200,"minimum":2}}},"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_ahhpsSunLIOlek6OeOZfL","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":"Applies string normalisation and computes a trailing mean series on tutoring session records (session_minutes or session_count) for up to 200 rows, returning two analytical reports.","exampleAgentPrompt":"Can you run string normalisation and a trailing mean series on my tutoring session data — I have 40 rows with session_minutes and course_group fields, using a window of 3 for the session_minutes field?","exampleUseCases":[{"title":"Tutoring platform session trend analysis","prompt":"I have 150 rows of tutoring session records with dates, course groups, and session_minutes values — can you normalize the string fields and compute a trailing mean series with a window of 5 on session_minutes so I can spot trends?"},{"title":"Weekly session count rolling average","prompt":"Run a trailing mean with window size 4 on the session_count field for these 80 tutoring session records, and normalize the course_group strings at the same time."},{"title":"Small-batch education data cleanup","prompt":"I've got 20 tutoring session rows from October 2026 — please normalize the strings and give me a trailing mean series for session_minutes with a window of 2."}],"resultDescription":"Two analytical reports per call: (1) a string normalisation report cleaning text fields like course_group, and (2) a trailing mean series computed over the specified numeric field (session_minutes or session_count) using the given window size, covering up to 200 input rows.","failureModes":["Rows exceed 200-item limit — request rejected","Invalid date format (not YYYY-MM-DD) — validation error","Window size out of range (must be 2–200) — schema error","Missing required fields (row_id, date, session_minutes, session_count) — validation failure","Numeric values out of allowed range — schema rejection","Empty rows array — validation error"],"whenToPreferThis":"Choose this endpoint when you need both string normalisation and trailing mean time-series analysis on tutoring session data in a single low-cost call. It is purpose-built for education session records (session_minutes, session_count) and bundles two analytical reports for $0.01 USDC, making it ideal for lightweight offline analytical pipelines without external lookups or live data dependencies.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:34:04.075Z","isFirstParty":false,"canonicalSlug":"tutoring-sessions-string-normalisation-trailing-mean-series-084cc301"}