{"uid":"cap_o6Z1h0KMLD8l9b9mne9RK","slug":"tutoring-sessions-string-normalisation-grouped-numeric-summary-df4af2df","name":"Tutoring Sessions — String Normalisation + Grouped Numeric Summary","description":"Tutoring sessions — String normalisation + Grouped numeric summary: String normalisation + Grouped numeric summary 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-16-023?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_igiXV9W4pOu4TIezjl2O6","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 string fields and generates grouped numeric summaries (sum, mean, etc.) for tutoring session records covering session_minutes and session_count, across up to 200 rows.","exampleAgentPrompt":"Can you normalize the course group names and give me a grouped numeric summary of session_minutes across these 50 tutoring session rows? I have rows with row_id, course_group, date, session_minutes, and session_count fields — I want both the string normalization report and the grouped summary in one call.","exampleUseCases":[{"title":"Tutoring platform monthly session audit","prompt":"I have 120 rows of tutoring session records from October — each row has a row_id, course_group, date, session_minutes, and session_count. Can you normalize the course_group strings and give me a grouped numeric summary of session_minutes so I can see which groups are logging the most time?"},{"title":"Education analytics dashboard prep","prompt":"Before I build this week's education dashboard, can you clean up and normalize the course group labels in my 80 tutoring session rows and compute a grouped summary of session_count by course group? I'll send you the rows in the standard format with row_id, date, course_group, session_minutes, and session_count."},{"title":"Comparing tutoring engagement across groups","prompt":"I've got two course groups — group-a and group-b — across 60 tutoring session records. Can you normalize the string fields and run a grouped numeric summary on session_minutes so I can compare average engagement time between the groups?"}],"resultDescription":"Two analytical reports: (1) a string normalisation report covering the course_group and other string fields in the submitted rows, and (2) a grouped numeric summary (e.g. totals, means, counts) for the selected numeric field (session_minutes or session_count) broken down by group — both computed locally on the supplied data, no external lookups.","failureModes":["More than 200 rows submitted — request rejected or truncated","Missing required fields (row_id, course_group, date, session_minutes, session_count) causes validation error","Invalid date format (not YYYY-MM-DD) causes row rejection","Numeric values outside allowed range (-1e12 to 1e12) may cause errors","Invalid enum value for 'field' parameter (must be session_minutes or session_count)","Empty rows array returns error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 tutoring session records and need both string normalisation and grouped numeric analytics in a single low-cost call ($0.01 USDC). Ideal for education data pipelines that need lightweight, offline analytical processing without external API dependencies or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-01T00:41:05.452Z","isFirstParty":false,"canonicalSlug":"tutoring-sessions-string-normalisation-grouped-numeric-summary-df4af2df"}