{"uid":"cap_xylc2m2oIr9BxJTfDuUUd","slug":"brand-mention-inventories-iqr-outlier-flags-explicit-missing-value-fill-c5dd390e","name":"Brand Mention Inventories — IQR Outlier Flags + Explicit Missing-Value Fill","description":"Brand mention inventories — IQR outlier flags + Explicit missing-value fill: IQR outlier flags + Explicit missing-value fill for supplied brand mention inventories records (mention_count, source_count). 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-18-180?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","company_group","date","mention_count","source_count"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"source_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"company_group":{"type":"string","default":"","maxLength":80},"mention_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","source_count":1,"company_group":"group-a","mention_count":10},{"date":"2026-10-02","row_id":"row-2","source_count":2,"company_group":"group-b","mention_count":20},{"date":"2026-10-03","row_id":"row-3","source_count":3,"company_group":"group-a","mention_count":15},{"date":"2026-10-04","row_id":"row-4","source_count":4,"company_group":"group-b","mention_count":30}],"maxItems":200,"minItems":1},"field":{"enum":["mention_count","source_count"],"type":"string","default":"mention_count"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"}}},"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_cC6GmGc0VfnsJFiRNig72","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":"Detects IQR-based outliers and fills missing values in brand mention inventory records (mention_count, source_count) for up to 200 rows, producing two analytical reports.","exampleAgentPrompt":"Can you run IQR outlier detection and fill any missing mention_count values using median on my brand mention inventory — I have about 50 rows with row_id, company_group, date, mention_count, and source_count fields?","exampleUseCases":[{"title":"Clean noisy brand mention dataset","prompt":"I have 80 rows of daily brand mention data across two company groups with some nulls and suspected spikes in mention_count — can you flag the IQR outliers and fill the missing values using median so I get two clean reports?"},{"title":"Audit source count anomalies","prompt":"Run an IQR outlier check on the source_count field in my brand mention inventory (about 120 rows) and fill in any missing source_count values with the mean — I need two reports covering both issues."},{"title":"Prepare mention data for dashboard","prompt":"Before I load this brand mention data into our dashboard, can you detect any outlier mention_counts using IQR and replace nulls with zero for the mention_count field? I have 35 rows with row_id, date, company_group, mention_count, and source_count."}],"resultDescription":"Returns two analytical reports: (1) an IQR outlier flag report identifying which rows in the specified field fall outside the interquartile range, and (2) an explicit missing-value fill report showing which null values were replaced and with what imputed value (zero, mean, or median), all computed locally on the supplied data without external lookups.","failureModes":["Fewer than 1 row submitted — rejected by minItems constraint","More than 200 rows submitted — exceeds maxItems limit","Invalid date format (not YYYY-MM-DD) — schema validation error","Unknown fill method or field enum value — rejected input","All values in field are null — IQR computation may be undefined","Payment not completed — endpoint returns 402 status"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of brand mention inventory data (mention_count and/or source_count) and need both outlier detection and missing-value imputation in a single low-cost call ($0.01 USDC). It is ideal for data cleaning pipelines before dashboarding or analysis where no live lookups or external enrichment are needed — just local statistical computation on your supplied records.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T18:53:16.061Z","isFirstParty":false,"canonicalSlug":"brand-mention-inventories-iqr-outlier-flags-explicit-missing-value-fill-c5dd390e"}