{"uid":"cap_zXgcyaA2lDNWF3Jo2R7DJ","slug":"training-assessments-category-frequencies-iqr-outlier-flags-5074f0e0","name":"Training Assessments — Category Frequencies + IQR Outlier Flags","description":"Training assessments — Category frequencies + IQR outlier flags: Category frequencies + 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-11-107?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_mTCV39qwY_8qCxJ3IFAfH","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 category frequency counts and IQR-based outlier flags for up to 200 rows.","exampleAgentPrompt":"Can you run a category frequency breakdown and IQR outlier detection on these training assessment records — analyze the pre_score field across our course groups: row-1 (group-a, 2026-10-01, pre=72, post=85), row-2 (group-b, 2026-10-02, pre=45, post=60), row-3 (group-a, 2026-10-03, pre=95, post=88), row-4 (group-b, 2026-10-04, pre=12, post=55)?","exampleUseCases":[{"title":"Detecting outlier pre-scores in onboarding cohort","prompt":"I have 50 onboarding training records with pre_score and post_score values across two course groups — can you analyze the pre_score field to find category frequencies and flag any IQR outliers so I can spot trainees who came in with unusually high or low baseline knowledge?"},{"title":"Quality check on post-test score data","prompt":"Before I report our training outcomes, can you run a frequency analysis and IQR outlier check on the post_score column across these 120 training records? I want to make sure no one's results are statistically anomalous before I finalize the report."},{"title":"Comparing score distributions across course groups","prompt":"I've got training assessment data from three course groups over the past quarter — can you compute category frequencies and IQR outlier flags for the pre_score field so I can see if any group has an unusually skewed score distribution?"}],"resultDescription":"Returns two analytical reports: (1) category frequency counts showing how often each score category appears in the selected field across course groups, and (2) IQR-based outlier flags identifying which row IDs have scores that fall outside the interquartile range boundary — all computed locally without any external data lookup.","failureModes":["Fewer than 1 row submitted — minItems:1 violation returns validation error","More than 200 rows submitted — maxItems:200 limit exceeded","Invalid date format (not YYYY-MM-DD) causes schema rejection","Missing required fields (row_id, course_group, date, pre_score, post_score) causes validation failure","Invalid field enum value (must be 'pre_score' or 'post_score') causes rejection","Payment failure or insufficient USDC balance prevents execution"],"whenToPreferThis":"Choose this endpoint when you need fast, local statistical analysis of training assessment scores without any external data dependencies — specifically when you want both category frequency distributions AND IQR-based outlier detection in a single $0.01 call for up to 200 rows. Prefer it over general analytics APIs when your data is already structured with course_group, date, pre_score, and post_score fields and you need a lightweight, privacy-preserving computation with no side effects.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T18:51:04.409Z","isFirstParty":false,"canonicalSlug":"training-assessments-category-frequencies-iqr-outlier-flags-5074f0e0"}