{"uid":"cap_jaRbtD1eVbT0uS_wPfe58","slug":"training-assessments-record-quality-audit-and-iqr-outlier-flags-4c218aed","name":"Training Assessments Record Quality Audit and IQR Outlier Flags","description":"Training assessments — Record quality audit + IQR outlier flags: Record quality audit + 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-11-014?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_ikhycENbWoqyiC3eUToTs","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":"Audits training assessment records (pre_score, post_score) for data quality issues and flags statistical outliers using IQR analysis, producing two independent reports for up to 200 rows.","exampleAgentPrompt":"Can you run a record quality audit and IQR outlier check on these training assessment results — I have up to 50 rows each with a row_id, course_group, date, pre_score, and post_score — and flag the pre_score field for outliers?","exampleUseCases":[{"title":"Pre-training data cleanup for L&D team","prompt":"I've got 120 rows of training assessment records with pre_score and post_score for multiple course groups and I need to know which rows have data quality issues and which pre_score values are statistical outliers before I import them into our dashboard."},{"title":"Post-assessment anomaly detection","prompt":"Before we report our Q3 training outcomes, can you audit these 80 post_score assessment records for data quality problems and flag any IQR outliers? Each row has a row_id, course_group, date, pre_score, and post_score."},{"title":"Course group score validation","prompt":"We just exported assessment data from our LMS — about 150 rows across group-a and group-b courses — can you check the post_score field for outliers using IQR and also run a general quality audit to catch any bad records?"}],"resultDescription":"Two independent analytical reports: (1) a record quality audit identifying issues such as missing values, malformed fields, or invalid entries across supplied rows; and (2) an IQR-based outlier flagging report identifying which rows contain statistically anomalous pre_score or post_score values, based entirely on the supplied data with no external lookups.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Missing required fields (row_id, course_group, date, pre_score, post_score) cause row-level validation errors","Invalid date format (non-YYYY-MM-DD) causes schema rejection","All-null score values for the selected field may yield an empty outlier report","Payment not provided or insufficient USDC causes 402 rejection"],"whenToPreferThis":"Choose this endpoint when you need both a data quality audit and IQR-based outlier detection on training assessment records (pre_score/post_score) in a single $0.01 call covering up to 200 rows. Ideal for pre-processing L&D or e-learning data before downstream reporting or ML pipelines, where no external data, predictions, or live lookups are needed — pure local analytical computation on your supplied data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-29T13:17:06.244Z","isFirstParty":false,"canonicalSlug":"training-assessments-record-quality-audit-and-iqr-outlier-flags-4c218aed"}