{"uid":"cap_294yL9gE4vmW08QH7PNMF","slug":"brand-mention-inventories-date-category-pivot-with-missing-value-fill-699cd117","name":"Brand Mention Inventories — Date×Category Pivot with Missing-Value Fill","description":"Brand mention inventories — Date by category pivot + Explicit missing-value fill: Date by category pivot + Explicit missing-value fill 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-18-189?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"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"}}},"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_IsnhrUUhSNWVwb8sXrgSb","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":"Pivots brand mention inventory rows by date and company category, then fills missing values using zero, mean, or median imputation, returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"I have a list of up to 200 brand mention records with dates, company groups, mention counts, and source counts — can you pivot them by date and company category, and fill any missing mention_count values using the median?","exampleUseCases":[{"title":"Weekly brand mention pivot report","prompt":"I've got 150 rows of brand mention data across several company groups with dates in October 2026 — can you pivot them by date and company group and fill any missing mention_count gaps using the median so I can see trends clearly?"},{"title":"Source count imputation for sparse data","prompt":"My brand tracking dataset has a lot of null source_count values across different company categories — can you pivot the records by date and company group and fill in those missing source_counts using the mean?"},{"title":"Zero-filled category summary for dashboards","prompt":"I need a clean date-by-category pivot of my brand mention inventory rows, but I want all missing mention_count cells filled with zero rather than left blank — can you run that on my 80 records?"}],"resultDescription":"Two analytical reports derived from the supplied rows: (1) a date×company_group pivot table for the chosen field (mention_count or source_count), and (2) the same data with missing values explicitly filled using the selected method (zero, mean, or median). Both reports are computed locally from supplied data with no external lookups.","failureModes":["Row count exceeds 200 — request rejected","Invalid date format (non-YYYY-MM-DD) — schema validation error","Missing required fields (row_id, company_group, date) — validation failure","Numeric values outside ±1,000,000,000,000 range — schema rejection","Invalid enum value for field or method — validation error","Empty rows array — minItems constraint violation"],"whenToPreferThis":"Choose this endpoint when you have up to 200 brand mention inventory rows and need both a date×category pivot table and explicit missing-value imputation (zero, mean, or median) in a single low-cost call ($0.01 USDC for 2 reports). It is purpose-built for brand mention data (mention_count, source_count) with company_group as the categorical dimension, making it more directly suited than generic pivot tools when your data already matches this schema.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T12:48:36.842Z","isFirstParty":false,"canonicalSlug":"brand-mention-inventories-date-category-pivot-with-missing-value-fill-699cd117"}