{"uid":"cap_BJrRxeL1GNgqI8M2WvMEY","slug":"brand-mention-inventories-iqr-outlier-flags-two-measure-correlation-17c25d9e","name":"Brand Mention Inventories — IQR Outlier Flags + Two-Measure Correlation","description":"Brand mention inventories — IQR outlier flags + Two-measure correlation: IQR outlier flags + Two-measure correlation 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-18-176?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"}}},"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_W5eRFwrOS5VkNP9WyfAz2","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 IQR-based outlier detection and two-measure correlation analysis on up to 200 rows of brand mention inventory data (mention_count, source_count).","exampleAgentPrompt":"I have a brand mention dataset with mention_count and source_count for several company groups across dates — can you flag the IQR outliers and also give me the correlation between mention_count and source_count for up to 200 rows?","exampleUseCases":[{"title":"PR spike anomaly detection","prompt":"I've got daily brand mention counts for three company groups across the last quarter — can you run IQR outlier detection on the mention_count field and tell me which rows are flagged as anomalies?"},{"title":"Source diversity vs mention volume correlation","prompt":"I want to know if brands that get mentioned more also tend to come from more sources — can you compute the correlation between mention_count and source_count across my 150-row dataset?"},{"title":"Competitive brand monitoring audit","prompt":"I'm auditing our brand mention inventory across group-a and group-b for the past month — please flag IQR outliers and show me the two-measure correlation between mention_count and source_count so I can spot anything unusual."}],"resultDescription":"Returns two analytical reports: (1) IQR outlier flags indicating which rows have mention_count or source_count values outside the interquartile range bounds, and (2) a two-measure correlation report showing the statistical relationship between mention_count and source_count across the supplied rows. No external data is fetched; all analysis is performed on the submitted dataset.","failureModes":["Fewer than 1 row submitted — validation error","More than 200 rows submitted — request rejected or truncated","Invalid date format (not YYYY-MM-DD) — schema validation failure","Non-numeric values in mention_count or source_count — parse error","All values identical — IQR is zero, correlation undefined or NaN","Missing required fields (row_id, company_group, date) — schema rejection"],"whenToPreferThis":"Choose this endpoint when you have a batch of brand mention records (up to 200 rows) and need both IQR-based outlier flagging and a correlation analysis between mention_count and source_count in a single $0.01 call. Prefer it over general-purpose analytics when your data fits the brand-mention schema (company_group, date, mention_count, source_count) and you want two statistical reports bundled together without setting up external analytics infrastructure.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T12:48:49.607Z","isFirstParty":false,"canonicalSlug":"brand-mention-inventories-iqr-outlier-flags-two-measure-correlation-17c25d9e"}