{"uid":"cap_vvz5_X2R5YrHs3k8x8OOp","slug":"vendor-evaluation-category-frequencies-iqr-outlier-flags-1f30bf2e","name":"Vendor Evaluation — Category Frequencies + IQR Outlier Flags","description":"Vendor evaluation — Category frequencies + IQR outlier flags: Category frequencies + IQR outlier flags 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-10-107?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_5B5gyWY96QzL8OIHGvMME","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 vendor evaluation records to produce category frequency counts and IQR-based outlier flags for supplied_score or maximum_score fields across up to 200 rows.","exampleAgentPrompt":"Analyze these vendor evaluation records for me — run both a category frequency breakdown and IQR outlier detection on the supplied_score field. I have up to 50 rows with row_id, company_group, date, supplied_score, and maximum_score fields.","exampleUseCases":[{"title":"Procurement outlier detection","prompt":"I have 120 vendor evaluation records from our Q3 procurement review with supplier groups, dates, and scores. Can you run IQR outlier flagging on the supplied_score field and tell me which vendors scored anomalously?"},{"title":"Category frequency audit by group","prompt":"We have vendor scores across three company groups — Alpha, Beta, and Gamma. Can you compute how frequently each group appears in our 80-row evaluation dataset and flag any outliers in the maximum_score field?"},{"title":"Score distribution analysis for vendor shortlist","prompt":"I'm reviewing 45 vendor evaluation entries before a shortlist decision. Run a category frequency report and IQR outlier analysis on supplied_score so I can see the distribution and spot any suspicious entries."}],"resultDescription":"Returns two analytical reports: (1) a category frequency table showing how often each company_group appears in the dataset, and (2) IQR-based outlier flags identifying which rows have supplied_score or maximum_score values that fall outside the interquartile range bounds. Both reports are computed locally with no external lookups.","failureModes":["Exceeding 200 rows returns an error — batch must be split","Missing required fields (row_id, company_group, date, supplied_score, maximum_score) cause validation failure","Null values in the selected score field may reduce outlier detection accuracy","Invalid date format (not YYYY-MM-DD) triggers schema validation error","Empty rows array rejected — minimum 1 row required"],"whenToPreferThis":"Choose this endpoint when you need both category frequency distribution and IQR-based statistical outlier detection on vendor evaluation records in a single call, without requiring external data lookups or live vendor information. It is ideal for preprocessing vendor datasets before procurement decisions or audits, especially when working with up to 200 rows of structured evaluation data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T18:53:38.441Z","isFirstParty":false,"canonicalSlug":"vendor-evaluation-category-frequencies-iqr-outlier-flags-1f30bf2e"}