{"uid":"cap_CkgpRWYnRyU_Ach-EvrBH","slug":"brand-mention-inventories-numeric-row-ordering-iqr-outlier-flags-5c9f5015","name":"Brand Mention Inventories — Numeric Row Ordering + IQR Outlier Flags","description":"Brand mention inventories — Numeric row ordering + IQR outlier flags: Numeric row ordering + 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-18-119?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_tEAr7_sDWTApNdXa76-89","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":"Sorts brand mention inventory rows numerically and flags statistical outliers using IQR analysis for mention_count or source_count fields across up to 200 rows.","exampleAgentPrompt":"Take these brand mention inventory rows for group-a and group-b from October 2026 and run the numeric row ordering plus IQR outlier flagging report on the mention_count field — I want to know which rows are ranked highest and which ones are statistical anomalies.","exampleUseCases":[{"title":"Outlier detection in brand mentions","prompt":"I have 50 rows of brand mention data across three company groups from Q3 — can you sort them by mention_count and flag any rows that are IQR outliers so I can investigate unusual spikes or drops?"},{"title":"Source diversity anomaly identification","prompt":"Run an IQR outlier analysis on the source_count field across these brand mention inventory records for my two brand groups — I want to see which dates had an abnormally high or low number of sources."},{"title":"Ranked brand performance audit","prompt":"Order these brand mention inventory records numerically by mention_count and give me the outlier flags — I'm auditing our brand tracking data for entries that look statistically off before presenting to the team."}],"resultDescription":"Two analytical reports: (1) rows sorted in numeric order by the selected field (mention_count or source_count), and (2) IQR-based outlier flags indicating which rows fall outside the interquartile range. Both reports are computed locally without external lookups, covering up to 200 input rows.","failureModes":["Fewer than 1 row provided — minimum 1 row required","More than 200 rows submitted — exceeds maximum row limit","Invalid date format (must match YYYY-MM-DD pattern)","Missing required fields: row_id, company_group, date, mention_count, or source_count","Field selector not one of 'mention_count' or 'source_count'","Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000)","Payment failure — 0.01 USDC not supplied via x402 protocol"],"whenToPreferThis":"Choose this endpoint when you have brand mention inventory data (up to 200 rows) and need both numeric ranking and IQR-based outlier detection in a single call for mention_count or source_count. It is ideal for offline/local analysis with no external data dependencies, and is cost-effective at $0.01 USDC for two reports simultaneously. Prefer it over general-purpose analytics tools when you specifically need IQR outlier flagging paired with ordered row ranking for brand monitoring datasets.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-16T12:44:27.459Z","isFirstParty":false,"canonicalSlug":"brand-mention-inventories-numeric-row-ordering-iqr-outlier-flags-5c9f5015"}