{"uid":"cap_ylZJjYi-lLVZ13XIjGoub","slug":"brand-mention-inventories-category-frequencies-adjacent-row-changes-65ef5dbb","name":"Brand Mention Inventories — Category Frequencies + Adjacent Row Changes","description":"Brand mention inventories — Category frequencies + Adjacent row changes: Category frequencies + Adjacent row changes 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-18-104?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_xSr-WYsOb5RtRGjlS0bz_","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 by computing category-level frequency distributions and adjacent-row delta changes for mention_count or source_count fields.","exampleAgentPrompt":"Analyze my brand mention inventory data — I have rows for group-a and group-b from October 2026 with mention_count and source_count values — give me both the category frequencies per company group and the adjacent row changes for mention_count.","exampleUseCases":[{"title":"PR team monitors brand mention trends","prompt":"I have 50 rows of daily brand mention data across four company groups from last quarter — can you compute how frequently each company group appears and show me how the mention_count shifts between consecutive rows?"},{"title":"Competitive analyst compares source coverage shifts","prompt":"Here's my brand mention inventory for three competitors over 30 days — analyze the source_count field to get category frequencies by company group and show the adjacent row-over-row changes."},{"title":"Marketing team audits campaign mention spikes","prompt":"We tracked brand mentions during our campaign across group-a, group-b, and group-c — run both reports on this data using mention_count: give me the category frequencies and the sequential row changes so I can spot the spikes."}],"resultDescription":"Two analytical reports generated from the supplied rows: (1) a category frequency report showing how often each company_group value appears in the dataset, and (2) an adjacent row change report showing the delta in the selected field (mention_count or source_count) between consecutive rows, up to 200 rows total.","failureModes":["Exceeds 200 row limit — request rejected, batch must be split","Missing required fields (row_id, company_group, date, mention_count, source_count) — validation error","Invalid date format (must match YYYY-MM-DD pattern) — schema validation failure","Numeric values outside allowed range — rejected input","Empty rows array — no data to analyze"],"whenToPreferThis":"Choose this endpoint when you have pre-collected brand mention inventory records (up to 200 rows) and need both a category frequency breakdown by company group and sequential row-over-row delta analysis in a single paid call. Ideal for offline/batch analysis of existing datasets where no live data lookup is needed and cost efficiency matters ($0.01 USDC for two reports).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T12:48:59.895Z","isFirstParty":false,"canonicalSlug":"brand-mention-inventories-category-frequencies-adjacent-row-changes-65ef5dbb"}