{"uid":"cap_hD43qekA1Cevmm37v8kpR","slug":"brand-mention-inventories-exact-row-deduplication-iqr-outlier-flags-f89da2f9","name":"Brand Mention Inventories — Exact Row Deduplication + IQR Outlier Flags","description":"Brand mention inventories — Exact row deduplication + IQR outlier flags: Exact row deduplication + IQR outlier flags 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-18-049?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_9-F53pGqTtFcQaWPKlkUS","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":"Deduplicates exact rows and flags IQR-based outliers in supplied brand mention inventory records (mention_count, source_count) for up to 200 rows across 2 reports.","exampleAgentPrompt":"Can you deduplicate and flag IQR outliers in my brand mention inventory? Here are my rows with mention_count and source_count values for groups like 'group-a' and 'group-b' across October 2026 dates — I want the outlier flags based on mention_count.","exampleUseCases":[{"title":"Brand mention data quality audit","prompt":"I have 150 rows of brand mention inventory data for companies across November 2025 — each row has a row_id, company_group, date, mention_count, and source_count. Can you deduplicate exact rows and flag any IQR-based outliers in mention_count so I know which records are anomalies?"},{"title":"Source count anomaly detection for PR team","prompt":"Our PR team scraped brand mention data for 80 records across Q3 2025. Can you run exact deduplication and IQR outlier flagging on source_count to help us spot which brand-date combinations have unusually high or low source counts?"},{"title":"Weekly brand inventory cleanup pipeline","prompt":"Every Monday we get a fresh batch of brand mention records — about 200 rows with company_group, date, mention_count, and source_count fields. Can you deduplicate the exact duplicate rows and flag IQR outliers on mention_count so we can send a clean dataset downstream?"}],"resultDescription":"Returns two analytical reports: (1) an exact row deduplication report identifying and removing fully duplicate records from the input dataset, and (2) an IQR-based outlier flag report marking records whose mention_count (or source_count) values fall outside the interquartile range boundaries. Up to 200 input rows are processed using local analytical engines with no external lookups.","failureModes":["Input array exceeds 200 rows — request will be rejected","Missing required fields (row_id, company_group, date, mention_count, source_count) cause validation failure","Invalid date format (must match YYYY-MM-DD) results in schema rejection","Numeric values outside ±1,000,000,000,000 bounds cause validation errors","Empty input array (minItems: 1 not met) returns error","Insufficient row variance for IQR computation with very small datasets"],"whenToPreferThis":"Choose this endpoint when you need lightweight, local statistical data quality checks on brand mention inventory records — specifically exact deduplication combined with IQR outlier detection on mention_count or source_count fields — without requiring external lookups, ML models, or live data sources. Best suited for batch sizes up to 200 rows where the cost of $0.01 USDC for two simultaneous reports is acceptable.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T18:57:13.195Z","isFirstParty":false,"canonicalSlug":"brand-mention-inventories-exact-row-deduplication-iqr-outlier-flags-f89da2f9"}