{"uid":"cap_wLg_MWfP6BzLIGk0uKwb0","slug":"brand-mention-inventories-category-frequencies-date-by-category-pivot-26921834","name":"Brand Mention Inventories — Category Frequencies + Date by Category Pivot","description":"Brand mention inventories — Category frequencies + Date by category pivot: Category frequencies + 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-18-110?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__NKy4Ea3h8PTInqpRYIYr","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":"Analyzes brand mention inventory records to produce two reports: category frequency counts and a date-by-category pivot, for up to 200 rows of mention and source count data.","exampleAgentPrompt":"I have a list of brand mention records with company groups, dates, mention counts, and source counts — can you run a category frequency breakdown and a date-by-category pivot on them, analyzing the mention_count field, for up to 200 rows?","exampleUseCases":[{"title":"Weekly brand share-of-voice report","prompt":"I have 150 rows of brand mention data with company groups like 'Nike', 'Adidas', and 'Puma', daily dates throughout October 2026, plus mention_count and source_count. Can you give me the category frequency totals for each brand and a pivot of mention_count by date and company group?"},{"title":"Competitive media coverage analysis","prompt":"Run a category frequency analysis and date-by-category pivot on my brand mention inventory — I've got records for groups 'TechCorp' and 'RivalCo' from 2026-09-01 through 2026-09-30, with mention_count and source_count per day. I want to compare their coverage patterns using the source_count field."},{"title":"PR campaign performance tracking","prompt":"I have 80 brand mention rows covering our campaign launch period from 2026-11-01 to 2026-11-20, split into company groups 'ProductA' and 'ProductB'. Can you produce the category frequency report and the date-by-category pivot using mention_count so I can see which product got more traction each day?"}],"resultDescription":"Two analytical reports computed locally from the supplied data: (1) a category frequency table showing aggregated mention_count or source_count totals per company_group, and (2) a date-by-category pivot table cross-tabulating the selected metric (mention_count or source_count) across dates and company groups. No external data is fetched.","failureModes":["Exceeding 200 rows causes rejection — trim input to at most 200 records","Missing required fields (row_id, company_group, date, mention_count, source_count) on any row causes validation failure","Malformed date strings not matching YYYY-MM-DD pattern will fail schema validation","Providing an invalid field enum value (not 'mention_count' or 'source_count') returns an error","Submitting an empty rows array (minItems:1 violated) returns a validation error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 pre-collected brand mention records with company group and date dimensions and need both a category frequency breakdown and a date-by-category pivot computed analytically — without requiring live data lookup, external enrichment, or predictions. It is ideal for lightweight, low-cost ($0.01 USDC) offline batch summarization of brand mention inventory data already in hand.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T12:48:59.047Z","isFirstParty":false,"canonicalSlug":"brand-mention-inventories-category-frequencies-date-by-category-pivot-26921834"}