{"uid":"cap_B6KXyI8L08Q1dVc1D_xCN","slug":"tutoring-sessions-string-normalisation-adjacent-row-changes-8ec363b2","name":"Tutoring Sessions — String Normalisation + Adjacent Row Changes","description":"Tutoring sessions — String normalisation + Adjacent row changes: String normalisation + Adjacent row changes 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-16-029?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"}}},"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_6j5bOgZw61wG1oy2j54Yu","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":"Performs string normalisation and adjacent row change analysis 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 adjacent row changes on these tutoring session records — I have 4 rows with course groups 'group-a' and 'group-b', dates from 2026-10-01 to 2026-10-04, and I want to analyse the session_minutes field?","exampleUseCases":[{"title":"Detecting session duration drift across days","prompt":"I have daily tutoring records for two course groups over October and I want to see how session_minutes changed between consecutive rows — can you normalise the strings and show me the adjacent row changes for session_minutes across all 8 rows?"},{"title":"Quality-checking session count consistency","prompt":"Can you take my tutoring session dataset — 15 rows with course groups 'math-101' and 'english-202', dates in November 2026 — and run string normalisation plus adjacent row change analysis on the session_count field so I can spot any anomalies?"},{"title":"Education analytics pipeline preprocessing","prompt":"I need to preprocess 50 tutoring session records before importing them into our dashboard — please run string normalisation and adjacent row changes on the session_minutes field for all rows so I get both cleaned values and row-to-row deltas."}],"resultDescription":"Returns two analytical reports: (1) string-normalised representations of the selected numeric field (session_minutes or session_count) for each input row, and (2) adjacent row change values showing the delta between consecutive rows. Both reports are derived purely from the supplied data with no external lookups.","failureModes":["More than 200 rows submitted — exceeds maxItems limit","Missing required fields (row_id, date, course_group) — validation error","Invalid date format not matching YYYY-MM-DD pattern — schema rejection","Field selector not one of 'session_minutes' or 'session_count' — enum error","Empty rows array (minItems: 1 not satisfied) — validation error","Non-numeric or out-of-range values for session_minutes or session_count — potential computation error"],"whenToPreferThis":"Choose this endpoint when you have tabular tutoring session data (up to 200 rows) and need both string normalisation and adjacent row change analysis together in a single paid call. It is purpose-built for education session metrics (session_minutes, session_count) with a defined schema, making it preferable over generic analytics tools when you need two packaged reports at minimal cost ($0.01 USDC) without any live lookups or external dependencies.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T12:34:08.794Z","isFirstParty":false,"canonicalSlug":"tutoring-sessions-string-normalisation-adjacent-row-changes-8ec363b2"}