{"uid":"cap_haiLtzOApcKuuepyEylea","slug":"brand-mention-inventories-daily-sum-series-iqr-outlier-flags-575e390a","name":"Brand Mention Inventories — Daily Sum Series + IQR Outlier Flags","description":"Brand mention inventories — Daily sum series + IQR outlier flags: Daily sum series + 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-18-140?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_IJiwhb6QnyVXHSoxwbL4c","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":"Computes daily aggregated sums and IQR-based outlier flags for brand mention inventory data (mention_count, source_count) across company groups, returning up to 2 independent analytical reports for up to 200 rows.","exampleAgentPrompt":"Analyze my brand mention inventory data for two company groups — run the daily sum series and IQR outlier detection on mention_count for these rows: group-a had 10 mentions on 2026-10-01 from 1 source and 15 mentions on 2026-10-03 from 3 sources; group-b had 20 mentions on 2026-10-02 from 2 sources and 30 mentions on 2026-10-04 from 4 sources.","exampleUseCases":[{"title":"Weekly brand spike detection for PR team","prompt":"I have 120 rows of daily brand mention data for our two product lines across the past quarter — can you run the daily sum series and flag any IQR outliers in mention_count so I can see which days had unusual spikes?"},{"title":"Source diversity anomaly monitoring","prompt":"Run the daily sum aggregation and IQR outlier flags on source_count for my brand mention inventory — I want to know which days had an abnormal number of distinct sources covering us compared to the typical range."},{"title":"Multi-brand mention comparison rollup","prompt":"I've got mention inventory records for three company groups over 60 days — can you compute the daily total mentions and flag statistical outliers using IQR so I can compare brand coverage patterns across groups?"}],"resultDescription":"Returns two independent analytical reports: (1) a daily sum series showing aggregated values of the selected field (mention_count or source_count) by date and company group, and (2) IQR-based outlier flags identifying which data points fall outside the interquartile range, for up to 200 supplied rows — all computed locally without external data lookups.","failureModes":["Missing required fields (row_id, company_group, date, mention_count, source_count) cause validation errors","Input exceeding 200 rows is rejected","Malformed date strings not matching YYYY-MM-DD pattern cause schema validation failure","Numeric values outside ±1,000,000,000,000 bounds are rejected","Empty rows array is rejected (minItems: 1)","Invalid field enum value (only 'mention_count' or 'source_count' accepted)"],"whenToPreferThis":"Choose this endpoint when you have pre-collected brand mention inventory records (up to 200 rows) and need both a daily aggregated sum series and IQR-based statistical outlier detection in a single low-cost call ($0.01 USDC for 2 reports). Ideal for offline/batch brand monitoring analytics where you supply your own data and want fast local computation without any external data lookups or live brand tracking. Not suitable for real-time brand monitoring, fetching live mention data, or processing more than 200 rows at once.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T12:48:50.737Z","isFirstParty":false,"canonicalSlug":"brand-mention-inventories-daily-sum-series-iqr-outlier-flags-575e390a"}