{"uid":"cap_h9rPVhJs99AFiXStDjQjT","slug":"brand-mention-inventories-duplicate-key-report-date-by-category-pivot-88660866","name":"Brand Mention Inventories — Duplicate Key Report + Date by Category Pivot","description":"Brand mention inventories — Duplicate key report + Date by category pivot: Duplicate key report + 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-18-068?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_y_W9hrEUCwYLQYrgg1l_S","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 two local analytical reports — a duplicate key report and a date-by-category pivot — on supplied brand mention inventory records (mention_count, source_count), for up to 200 rows.","exampleAgentPrompt":"Can you run a duplicate key check and a date-by-category pivot on these brand mention records — the data has row_id, company_group, date, mention_count, and source_count fields — and use mention_count as the analysis field? I have about 50 rows to analyze.","exampleUseCases":[{"title":"Duplicate detection in mention exports","prompt":"I exported brand mention data from our monitoring tool and I think there are duplicate row IDs mixed in. Can you run a duplicate key report on these records with row_id, company_group, date, mention_count, and source_count and flag anything repeated?"},{"title":"Date-category pivot for brand coverage","prompt":"I have around 120 rows of brand mention inventory data with company_group, date, and mention_count. Can you pivot the mention_count by date and company category so I can see how mentions are distributed across groups over time?"},{"title":"Source count analysis across company groups","prompt":"Here are 80 rows of brand mention records with source_count per company_group and date. Run me both a duplicate key check and a date-by-category breakdown using source_count — I want to spot data issues and see the cross-tab at the same time."}],"resultDescription":"Returns two independent analytical reports: (1) a duplicate key report identifying rows with repeated row_id values, and (2) a date-by-category pivot table cross-tabulating the selected field (mention_count or source_count) by date and company_group. Both reports are computed locally on the supplied data with no external lookups. Results cover up to 200 input rows.","failureModes":["More than 200 rows submitted — only up to 200 rows are supported per call","Missing required fields (row_id, company_group, date, mention_count, source_count) cause validation errors","Invalid date format (must match YYYY-MM-DD pattern) causes rejection","Empty rows array returns an error (minItems: 1)","Values outside the allowed numeric range (±1,000,000,000,000) may be rejected","Invalid field enum value (must be 'mention_count' or 'source_count') causes failure"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of brand mention inventory data and need both a duplicate key audit and a date-by-category pivot in a single low-cost call ($0.01 USDC). It is ideal for offline/supplied-data analytics where no live data fetch, prediction, or external enrichment is needed — just fast local computation on records you already have. Prefer it over general-purpose analytics tools when you specifically need the combination of duplication detection and date-group cross-tabulation for brand mention metrics.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T18:57:19.368Z","isFirstParty":false,"canonicalSlug":"brand-mention-inventories-duplicate-key-report-date-by-category-pivot-88660866"}