{"uid":"cap_T2gvSDLtp6wcWmecs9LTF","slug":"training-assessments-numeric-row-ordering-iqr-outlier-flags-129f6303","name":"Training Assessments — Numeric Row Ordering + IQR Outlier Flags","description":"Training assessments — Numeric row ordering + IQR outlier flags: Numeric row ordering + IQR outlier flags 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-11-119?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"}}},"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_43p9lO5EHQaLJQSG6AkA3","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":"Sorts training assessment records by pre_score or post_score and flags statistical outliers using IQR analysis, returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"I have 50 training assessment rows with row_id, course_group, date, pre_score, and post_score — can you sort them by post_score and flag any IQR outliers in the post_score column?","exampleUseCases":[{"title":"Identify outlier learners in a cohort","prompt":"Here are 120 training assessment records with pre and post scores — can you sort them by pre_score and flag which learners have statistically unusual pre-test scores using IQR outlier detection?"},{"title":"Post-training score ranking for reporting","prompt":"I need to rank all our Q3 training participants by their post_score and highlight any extreme outliers — I have 85 rows with row_id, course_group, date, pre_score, and post_score ready to submit."},{"title":"Detect data quality issues in assessment scores","prompt":"Some of our training assessment scores look suspicious — can you run IQR outlier flagging on the post_score field across these 40 rows so I can see which ones are anomalous before we publish the report?"}],"resultDescription":"Two analytical reports: (1) the supplied training assessment rows reordered numerically by the chosen field (pre_score or post_score), and (2) IQR-based outlier flags indicating which rows have values that fall outside the interquartile range boundaries — all computed locally with no external lookups.","failureModes":["Fewer than 1 row submitted — minimum item count not met","More than 200 rows submitted — 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 field enum value — must be 'pre_score' or 'post_score'","All score values are null — insufficient numeric data for IQR computation","Payment not attached or insufficient — x402 payment of 0.01 USDC required"],"whenToPreferThis":"Choose this endpoint when you need both a ranked ordering of training assessment records and IQR-based outlier detection in a single call, with no need for live data lookups, predictions, or external integrations. It is best suited for education or training analytics workflows where you have up to 200 pre/post score rows and want lightweight, deterministic statistical summaries at minimal cost ($0.01 USDC for both reports).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T18:50:26.038Z","isFirstParty":false,"canonicalSlug":"training-assessments-numeric-row-ordering-iqr-outlier-flags-129f6303"}