{"uid":"cap_yPiIZZ8YMiY9TV4SIKzoi","slug":"training-assessments-iqr-outlier-flags-missing-value-fill-5ed48c1e","name":"Training Assessments IQR Outlier Flags + Missing Value Fill","description":"Training assessments — IQR outlier flags + Explicit missing-value fill: IQR outlier flags + Explicit missing-value fill for supplied training assessments records (pre_score, post_score). 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-11-180?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","course_group","date","pre_score","post_score"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"pre_score":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"post_score":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"course_group":{"type":"string","default":"","maxLength":80}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","pre_score":10,"post_score":1,"course_group":"group-a"},{"date":"2026-10-02","row_id":"row-2","pre_score":20,"post_score":2,"course_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","pre_score":15,"post_score":3,"course_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","pre_score":30,"post_score":4,"course_group":"group-b"}],"maxItems":200,"minItems":1},"field":{"enum":["pre_score","post_score"],"type":"string","default":"pre_score"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"}}},"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_8RcO0jkNVl3m8WUGPdinu","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":"Detects IQR-based outliers and fills missing values in training assessment score data (pre_score, post_score) for up to 200 rows, returning two analytical reports.","exampleAgentPrompt":"Can you run IQR outlier detection and fill any missing post_score values using median imputation on my training assessment dataset — I have rows with row_id, course_group, date, pre_score, and post_score for about 50 learners across group-a and group-b?","exampleUseCases":[{"title":"Pre-course score outlier audit","prompt":"I have 80 rows of training assessment data with pre_score and post_score values by course group and date — can you flag any IQR outliers in the pre_score column and also fill missing pre_scores using the mean?"},{"title":"Post-training data cleaning before analysis","prompt":"Before I run my learning gain analysis, can you clean up my 120-row assessment dataset by flagging outlier post_scores using IQR and imputing any missing post_score values with median?"},{"title":"Multi-group assessment quality check","prompt":"I've got assessment records for group-a and group-b across October 2026 — about 150 rows — can you run IQR outlier flags on pre_score and fill any nulls with zero so I can see which records need review?"}],"resultDescription":"Returns two analytical reports: (1) IQR-based outlier flags per row indicating which pre_score or post_score values fall outside the interquartile range, and (2) a missing-value fill report showing which rows had nulls and what values were substituted using the chosen method (zero, mean, or median). No external data is fetched; all analysis uses the supplied rows only.","failureModes":["Fewer than 1 row supplied — minimum item count not met","More than 200 rows supplied — exceeds maxItems limit","Missing required fields (row_id, course_group, date, pre_score, post_score) on any row","Invalid date format (must match YYYY-MM-DD pattern)","Invalid method enum value (must be zero, mean, or median)","Invalid field enum value (must be pre_score or post_score)","Payment failure — 0.01 USDC x402 payment not completed"],"whenToPreferThis":"Choose this endpoint when you need lightweight, local statistical cleaning of training assessment records — specifically IQR outlier detection plus missing value imputation — without any external API calls, ML predictions, or professional scoring. Best suited for small-to-medium datasets (up to 200 rows) with pre/post score pairs grouped by course. Prefer this over general data pipelines when you want a dual-report output (outlier flags + fill report) in a single low-cost call ($0.01 USDC) for education or training analytics workflows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-29T12:53:24.936Z","isFirstParty":false,"canonicalSlug":"training-assessments-iqr-outlier-flags-missing-value-fill-5ed48c1e"}