{"uid":"cap_ix5ymnxEvgvYBjfgF-8yS","slug":"supplier-qualification-iqr-outlier-flags-date-by-category-pivot-53ecf682","name":"Supplier Qualification IQR Outlier Flags + Date by Category Pivot","description":"Supplier qualification — IQR outlier flags + Date by category pivot: IQR outlier flags + Date by category pivot for supplied supplier qualification records (checked_criteria, met_criteria). 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-02-178?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","company_group","date","checked_criteria","met_criteria"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"met_criteria":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"company_group":{"type":"string","default":"","maxLength":80},"checked_criteria":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","met_criteria":1,"company_group":"group-a","checked_criteria":10},{"date":"2026-10-02","row_id":"row-2","met_criteria":2,"company_group":"group-b","checked_criteria":20},{"date":"2026-10-03","row_id":"row-3","met_criteria":3,"company_group":"group-a","checked_criteria":15},{"date":"2026-10-04","row_id":"row-4","met_criteria":4,"company_group":"group-b","checked_criteria":30}],"maxItems":200,"minItems":1},"field":{"enum":["checked_criteria","met_criteria"],"type":"string","default":"checked_criteria"}}},"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_Xt_9x1ZUYk-hSIxA4VQZn","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 local analytical reports on supplier qualification records: IQR-based outlier flagging and a date-by-category pivot, for up to 200 rows.","exampleAgentPrompt":"Can you run IQR outlier detection and a date-by-category pivot on these supplier qualification records — I have 50 rows with checked_criteria and met_criteria values across company groups, and I want to analyze the checked_criteria field?","exampleUseCases":[{"title":"Supplier compliance anomaly detection","prompt":"I have 120 rows of supplier qualification data with checked_criteria and met_criteria scores by company group and date — can you flag any IQR outliers in the met_criteria field and also give me a date-by-category pivot so I can see patterns over time?"},{"title":"Procurement audit outlier review","prompt":"Run an IQR outlier analysis and a date-by-category pivot on this batch of supplier qualification records — there are about 80 rows covering several company groups, and I want to focus on the checked_criteria field to spot any unusual values before our audit."},{"title":"Vendor scoring trend and anomaly summary","prompt":"I need two quick reports on my supplier qualification dataset — IQR outlier flags and a date-by-category breakdown — using the met_criteria field. I have around 150 rows across groups like 'vendor-a' and 'vendor-b' with dates in 2025."}],"resultDescription":"Two reports: (1) IQR outlier flags identifying which rows have checked_criteria or met_criteria values outside interquartile range bounds, and (2) a date-by-category pivot table summarizing the selected field values by date and company_group, all computed locally without external lookups.","failureModes":["Fewer than 1 row submitted returns a validation error","More than 200 rows submitted exceeds the limit and will be rejected","Invalid date format (not YYYY-MM-DD) causes schema validation failure","Null values in the selected numeric field may affect IQR computation","Missing required fields (row_id, company_group, date, checked_criteria, met_criteria) cause request rejection","Invalid field enum value (not 'checked_criteria' or 'met_criteria') causes error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 supplier qualification records with checked_criteria and met_criteria fields and need both IQR-based outlier detection and a date-by-category pivot in a single low-cost ($0.01 USDC) call. Prefer this over general analytics services when data must be analyzed locally without external lookup or prediction, and when procurement or vendor qualification context is specifically relevant.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T18:51:15.602Z","isFirstParty":false,"canonicalSlug":"supplier-qualification-iqr-outlier-flags-date-by-category-pivot-53ecf682"}