{"uid":"cap_SqYeSvD5XP9s0-1CSyf5v","slug":"training-assessments-iqr-outlier-flags-secondary-measure-weighted-mean-ddaccd57","name":"Training Assessments — IQR Outlier Flags + Secondary-Measure Weighted Mean","description":"Training assessments — IQR outlier flags + Secondary-measure weighted mean: IQR outlier flags + Secondary-measure weighted mean 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-11-177?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_3o_IlxokRbHH9HFPnTijm","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":"Analyzes training assessment records (pre_score, post_score) to produce IQR-based outlier flags and a secondary-measure weighted mean, returning two statistical reports for up to 200 rows.","exampleAgentPrompt":"Can you run IQR outlier detection and a weighted mean report on my training assessment data? I have 150 rows with pre_score and post_score fields across two course groups, and I want to flag outliers on the pre_score field.","exampleUseCases":[{"title":"Outlier detection in corporate training data","prompt":"I have 120 rows of employee training records with pre_score and post_score values across three course groups — can you flag any IQR outliers in the post_score field and give me a weighted mean summary?"},{"title":"Academic course score quality audit","prompt":"We ran a pre/post assessment for two student cohorts across 80 sessions. Can you check the pre_score column for IQR outliers and compute the secondary-measure weighted mean so I can spot which sessions had abnormal results?"},{"title":"L&D analyst reviewing pilot program scores","prompt":"I'm reviewing a small 40-row pilot training dataset with pre and post scores labeled by course group and date — please run the IQR outlier flags and weighted mean reports on the pre_score field so I can identify any data quality issues before our full rollout."}],"resultDescription":"Returns two reports: (1) IQR outlier flags for each row indicating whether the selected field (pre_score or post_score) is an outlier based on interquartile range analysis, and (2) a secondary-measure weighted mean summarizing score distributions across the supplied training assessment records. No external data is fetched; all computation is performed locally on the submitted rows.","failureModes":["Fewer than 1 row submitted — request rejected","More than 200 rows submitted — request rejected with max items error","Invalid date format (not YYYY-MM-DD) — schema validation failure","Missing required fields (row_id, course_group, date, pre_score, post_score) — validation error","Invalid field enum value (not 'pre_score' or 'post_score') — schema error","All score values are null — IQR computation may be undefined or return empty result"],"whenToPreferThis":"Choose this endpoint when you have up to 200 training assessment records with pre_score and post_score values and need both IQR-based outlier detection and a weighted mean summary in a single low-cost call ($0.01 USDC). It is ideal for education/L&D analysts who want offline statistical analysis without any live data lookup, prediction, or external service dependency. Prefer this over general analytics tools when you specifically need the IQR outlier flagging + weighted mean combination on course assessment data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T18:51:04.736Z","isFirstParty":false,"canonicalSlug":"training-assessments-iqr-outlier-flags-secondary-measure-weighted-mean-ddaccd57"}