{"uid":"cap_toc9uD2QCmGYXVpXTPAbx","slug":"tutoring-sessions-data-quality-exact-row-deduplication-iqr-outlier-dadef9bd","name":"Tutoring Sessions Data Quality: Exact Row Deduplication + IQR Outlier Flags","description":"Tutoring sessions — Exact row deduplication + IQR outlier flags: Exact row deduplication + IQR outlier flags 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-16-049?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_S1U0zMA6BuYj99-EXJR2d","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":"Deduplicates exact rows and flags IQR-based outliers in tutoring session records (session_minutes or session_count) for up to 200 rows, returning two analytical reports.","exampleAgentPrompt":"Check my tutoring session records for exact duplicate rows and flag any outliers in session_minutes using IQR — here are my rows: row-1, group-a, 2026-10-01, session_minutes=45, session_count=2; row-2, group-b, 2026-10-02, session_minutes=300, session_count=1; row-3, group-a, 2026-10-01, session_minutes=45, session_count=2. Analyze up to these 3 records.","exampleUseCases":[{"title":"Pre-analysis tutoring data cleanup","prompt":"I have a batch of 150 tutoring session records and I need to find any exact duplicate rows and flag sessions where session_minutes looks like an outlier before I run my weekly report — can you run the deduplication and IQR check on this dataset?"},{"title":"Course group session count audit","prompt":"Can you check these tutoring records for duplicate entries and flag any session_count values that are statistical outliers using IQR? I want to make sure there are no data entry errors before I present the numbers to the school board."},{"title":"Monthly data validation before reporting","prompt":"Before I aggregate our tutoring platform's monthly data, please deduplicate these session records and identify any rows where session_minutes is an IQR outlier — I've got about 80 rows across several course groups."}],"resultDescription":"Returns two reports: (1) an exact row deduplication report identifying which rows are exact duplicates, and (2) an IQR outlier flag report marking rows where the selected numeric field (session_minutes or session_count) falls outside the interquartile range boundaries. No external lookups or predictions are made — all analysis is local and deterministic.","failureModes":["Fewer than 1 row submitted returns validation error","More than 200 rows submitted exceeds the row limit and is rejected","Missing required fields (row_id, date, course_group, session_minutes, session_count) causes schema validation failure","Malformed date strings not matching YYYY-MM-DD pattern are rejected","Invalid field enum value (not 'session_minutes' or 'session_count') causes error","Insufficient USDC balance results in payment failure via x402 protocol"],"whenToPreferThis":"Choose this endpoint when you need lightweight, local data quality checks specifically on tutoring session records with session_minutes and session_count fields. It is ideal for pre-processing pipelines that need both deduplication and IQR outlier detection in a single call for up to 200 rows. Prefer this over general-purpose data tools when you want a bundled two-report output at low cost ($0.01 USDC) without any external data lookups or ML predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T18:51:23.308Z","isFirstParty":false,"canonicalSlug":"tutoring-sessions-data-quality-exact-row-deduplication-iqr-outlier-dadef9bd"}