{"uid":"cap__jZ4ZeSYOfCFurp4COJsy","slug":"brand-mention-inventories-two-measure-correlation-date-by-category-6b65fff8","name":"Brand Mention Inventories — Two-Measure Correlation + Date-by-Category Pivot","description":"Brand mention inventories — Two-measure correlation + Date by category pivot: Two-measure correlation + Date by category pivot 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-18-182?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_wiSBglR4uClvlL3HI235W","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 two analytical reports on supplied brand mention data: a correlation between mention_count and source_count, plus a date-by-category pivot table, for up to 200 rows.","exampleAgentPrompt":"I have brand mention data for two company groups — group-a and group-b — across about 150 rows with daily dates and both mention_count and source_count values. Can you run the two-measure correlation between mention_count and source_count, plus a date-by-category pivot, and give me both reports?","exampleUseCases":[{"title":"Brand coverage correlation for PR team","prompt":"We tracked daily brand mentions and source counts for our two product lines over Q4 — about 120 rows. Run the correlation between mention_count and source_count and also pivot the mention_count by date and company group so we can see which line dominated each day."},{"title":"Competitor mention analysis pivot","prompt":"I've got 180 rows of brand mention inventory data comparing three competitor groups across the past 6 months. Can you compute the correlation between their mention counts and source counts, and give me a date-by-category pivot on mention_count so I can spot seasonal patterns?"},{"title":"Media monitoring audit for agency report","prompt":"Our client's brand monitoring export has 90 rows with date, company_group, mention_count, and source_count columns. Please run the two-measure correlation report and the date-by-category pivot — we need both outputs for the weekly agency deck."}],"resultDescription":"Returns two independent analytical reports: (1) a two-measure correlation result quantifying the relationship between mention_count and source_count across all supplied rows, and (2) a date-by-category pivot table breaking down the selected field (mention_count or source_count) by date and company_group. Both reports are computed locally from the supplied data with no external lookups.","failureModes":["Fewer than 1 row supplied — validation error","More than 200 rows submitted — request rejected, exceeds row limit","Missing required fields (row_id, company_group, date, mention_count, source_count) — schema validation failure","Invalid date format (not YYYY-MM-DD) — pattern validation error","Null values in both measure columns for all rows — correlation cannot be computed","Payment of 0.01 USDC not provided or declined — 402 payment required"],"whenToPreferThis":"Choose this endpoint when you have tabular brand mention records (up to 200 rows) with both mention_count and source_count fields and need two complementary analytical views — a numeric correlation between the two measures and a date-by-category pivot — in a single low-cost call. It is not a live data fetcher or predictor; it only operates on data you supply.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T12:48:45.182Z","isFirstParty":false,"canonicalSlug":"brand-mention-inventories-two-measure-correlation-date-by-category-6b65fff8"}