{"uid":"cap_7Tnu9cRZdJbkWNOA1XT2s","slug":"tutoring-sessions-string-normalisation-and-two-measure-correlation-363dff4f","name":"Tutoring Sessions String Normalisation and Two-Measure Correlation","description":"Tutoring sessions — String normalisation + Two-measure correlation: String normalisation + Two-measure correlation 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-16-033?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}}},"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_J3ywVAjTMOeCdKZ2UOGpC","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":"Normalises tutoring session records and computes Pearson/rank correlation between session_minutes and session_count for up to 200 rows, returning two analytical reports.","exampleAgentPrompt":"I have tutoring session records for two course groups — can you normalise the strings and run a two-measure correlation between session_minutes and session_count across these rows: row-1, group-a, 2026-10-01, 45 minutes, 3 sessions; row-2, group-b, 2026-10-02, 60 minutes, 5 sessions; row-3, group-a, 2026-10-03, 30 minutes, 2 sessions?","exampleUseCases":[{"title":"Course group engagement comparison","prompt":"I have 80 rows of tutoring session data across three course groups and I want to know whether session_minutes and session_count are correlated — can you normalise the records and give me the two correlation reports? Here are my rows: group-a students averaging 45 min over 3 sessions, group-b averaging 60 min over 5 sessions, etc."},{"title":"Weekly tutor performance audit","prompt":"Can you take these 120 weekly tutoring session records — each has a row_id, course_group, date, session_minutes and session_count — normalise the text fields, and compute the two-measure correlation between time spent per session and how many sessions happened?"},{"title":"EdTech dataset quality check","prompt":"Before I publish our tutoring dataset, I need string normalisation applied to all 200 rows and a correlation report showing whether session_minutes and session_count move together — can you run both reports on my supplied data?"}],"resultDescription":"Returns two independent analytical reports: (1) normalised string representations of the input tutoring session records and (2) a two-measure correlation analysis (e.g. Pearson or rank correlation) between session_minutes and session_count, computed locally without any external lookups or predictions, covering up to 200 input rows.","failureModes":["More than 200 rows submitted — request rejected with row limit error","Missing required fields (row_id, date, session_minutes, session_count) — validation error","Invalid date format (not YYYY-MM-DD) — schema validation failure","Numeric values outside allowed range (±1,000,000,000,000) — rejected","Insufficient variance in measures — correlation may be undefined or NaN","Empty rows array — minItems:1 constraint violation","Payment not provided or insufficient (requires 0.01 USDC via x402) — 402 response"],"whenToPreferThis":"Choose this endpoint when you have tabular tutoring session data (up to 200 rows) and need both string normalisation and a correlation analysis between two numeric measures (session_minutes and session_count) in a single low-cost call. It is ideal for lightweight, self-contained analytical pipelines where no external data lookup, prediction, or live enrichment is required. Prefer it over general-purpose analytics platforms when cost predictability ($0.01 USDC flat) and simplicity matter, and when your data already contains the two target measures.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T00:38:10.808Z","isFirstParty":false,"canonicalSlug":"tutoring-sessions-string-normalisation-and-two-measure-correlation-363dff4f"}