{"uid":"cap_KIOTZBJ1q8OWkTHlf2pIi","slug":"vendor-evaluation-iqr-outlier-flags-date-by-category-pivot-cec7e33a","name":"Vendor Evaluation IQR Outlier Flags + Date by Category Pivot","description":"Vendor evaluation — IQR outlier flags + Date by category pivot: IQR outlier flags + Date by category pivot for supplied vendor evaluation records (supplied_score, maximum_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-company-10-178?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","company_group","date","supplied_score","maximum_score"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"company_group":{"type":"string","default":"","maxLength":80},"maximum_score":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"supplied_score":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","company_group":"group-a","maximum_score":1,"supplied_score":10},{"date":"2026-10-02","row_id":"row-2","company_group":"group-b","maximum_score":2,"supplied_score":20},{"date":"2026-10-03","row_id":"row-3","company_group":"group-a","maximum_score":3,"supplied_score":15},{"date":"2026-10-04","row_id":"row-4","company_group":"group-b","maximum_score":4,"supplied_score":30}],"maxItems":200,"minItems":1},"field":{"enum":["supplied_score","maximum_score"],"type":"string","default":"supplied_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_FVGlrUHI12FbP3paHIbCq","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":"Runs two analytical reports on vendor evaluation records: IQR-based outlier detection and a date-by-category pivot table, for up to 200 rows.","exampleAgentPrompt":"Run IQR outlier detection and a date-by-category pivot on these vendor evaluation records — here are up to 200 rows with row_id, company_group, date, supplied_score, and maximum_score fields — and flag anything unusual in the supplied_score column.","exampleUseCases":[{"title":"Procurement outlier audit","prompt":"I have a batch of vendor evaluation records from our procurement team — row IDs, company groups, dates, and supplied and maximum scores. Can you flag which rows have IQR outliers in the supplied_score and also give me a pivot of supplied_score by date and company group?"},{"title":"Supplier scoring quality check","prompt":"We collected scores from 150 vendor assessments this quarter. Run IQR outlier flags on the maximum_score field and give me a date-by-category breakdown so I can spot any weird patterns by supplier group."},{"title":"Category performance summary","prompt":"Here are 80 vendor evaluation rows with company_group and date fields. Can you pivot the supplied_score by date and category, and also tell me which rows are statistical outliers based on IQR?"}],"resultDescription":"Two analytical reports: (1) IQR outlier flags identifying which rows have scores that fall outside the interquartile range for the selected field, and (2) a pivot table grouping scores by date and company_group category. All computation is local with no external lookups.","failureModes":["Fewer than 1 row submitted returns an error","More than 200 rows submitted exceeds the row limit","Missing required fields (row_id, date, company_group, supplied_score, maximum_score) cause validation failure","Invalid date format (not YYYY-MM-DD) triggers pattern validation error","Null values in score fields may affect IQR computation","Payment of 0.01 USDC not included causes request rejection"],"whenToPreferThis":"Choose this endpoint when you need both IQR-based outlier detection and a date-by-category pivot on vendor evaluation data in a single low-cost call. It is purpose-built for supplier scoring datasets with supplied_score and maximum_score fields and handles up to 200 rows efficiently. Prefer this over general-purpose analytics tools when you want two specific paired reports without writing custom code.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T18:48:23.012Z","isFirstParty":false,"canonicalSlug":"vendor-evaluation-iqr-outlier-flags-date-by-category-pivot-cec7e33a"}