{"uid":"cap_0SRDbwzQkX8RxkWnzLm6U","slug":"brand-mention-inventories-equal-width-histogram-iqr-outlier-flags-b52379a8","name":"Brand Mention Inventories — Equal-Width Histogram + IQR Outlier Flags","description":"Brand mention inventories — Equal-width histogram + IQR outlier flags: Equal-width histogram + 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-18-170?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"bins":{"type":"integer","default":5,"maximum":30,"minimum":1},"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_etN-Ep0GEsTqQ_xaSfYI3","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":"Generates an equal-width histogram and IQR-based outlier flags for brand mention inventory records (mention_count or source_count) across up to 200 rows.","exampleAgentPrompt":"Can you run a histogram and IQR outlier analysis on my brand mention inventory data — I have 150 rows with mention_count and source_count fields grouped by company, and I want 10 bins on the mention_count field so I can see the distribution and spot any anomalies?","exampleUseCases":[{"title":"Detecting Mention Spikes Across Brands","prompt":"I have 80 rows of brand mention data for three company groups from last quarter — can you run an equal-width histogram with 8 bins on the mention_count field and flag any IQR outliers so I know which dates had unusual spike activity?"},{"title":"Source Diversity Distribution Check","prompt":"Can you analyze the distribution of source_count values in my brand mention inventory — I have 120 records across two company groups — using 5 bins and flag any outliers so I can see if certain records have abnormally high or low source diversity?"},{"title":"Monthly Mention Inventory QA Report","prompt":"I need a statistical QA report on this month's brand mention inventory — 200 rows, mention_count field, 6 bins please — flag anything that looks like an outlier using IQR so my team can investigate before we finalize the report."}],"resultDescription":"Returns two analytical reports for the supplied dataset: (1) an equal-width histogram showing bin boundaries and row counts for the selected field (mention_count or source_count), and (2) IQR-based outlier flags identifying which rows fall outside the interquartile fence, with row IDs and values. Both reports are computed locally from the supplied data with no external lookups.","failureModes":["More than 200 rows submitted — request rejected, batch must be split","Missing required row fields (row_id, company_group, date, mention_count, source_count) — validation error","bins parameter outside 1–30 range — rejected","Null values in the selected numeric field may affect histogram bin boundaries","Date field not matching YYYY-MM-DD pattern — row rejected","All values identical — histogram collapses to single bin, IQR is zero causing all-or-none outlier flags"],"whenToPreferThis":"Choose this endpoint when you need fast, local statistical analysis of brand mention inventory data specifically — particularly when you want both a histogram view of distribution and IQR-based outlier detection in a single call for up to 200 rows. It is ideal for data QA pipelines, periodic brand monitoring audits, and anomaly detection workflows where you already have structured mention/source count data. Prefer alternatives if you need live data fetching, prediction, or analysis of more than 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T18:57:17.637Z","isFirstParty":false,"canonicalSlug":"brand-mention-inventories-equal-width-histogram-iqr-outlier-flags-b52379a8"}