{"uid":"cap_m6D4PDXrrwA-MFRASrs7W","slug":"brand-mention-inventories-daily-sum-series-adjacent-row-changes-d4d76dd4","name":"Brand Mention Inventories — Daily Sum Series + Adjacent Row Changes","description":"Brand mention inventories — Daily sum series + Adjacent row changes: Daily sum series + 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-18-137?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_plRJ7ALxzzIPWJjE_6oOG","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 supplied brand mention inventory rows to produce a daily sum time series and adjacent row change report for mention_count or source_count.","exampleAgentPrompt":"Take these brand mention inventory rows for group-a and group-b from October 2026 and give me both a daily sum series and the adjacent row changes for mention_count — here are up to 200 rows with row_id, company_group, date, mention_count, and source_count.","exampleUseCases":[{"title":"Daily brand mention trend analysis","prompt":"I have 150 rows of brand mention data for our three company groups across Q3 — each row has a date, company_group, mention_count, and source_count. Can you compute the daily sum series and show me the adjacent row changes for mention_count so I can see how daily totals are trending?"},{"title":"Source coverage spike detection","prompt":"Here are our brand mention inventory records for the past 60 days across two groups. Run the daily sum series and adjacent row changes on source_count — I want to spot any days where the number of sources covering us jumped or dropped sharply."},{"title":"Competitor mention comparison over time","prompt":"I've compiled mention inventory rows for competitor-a and competitor-b from January through March, with mention_count and source_count per day. Generate the daily sum series and adjacent row changes for mention_count so I can compare how their mention volumes evolved week by week."}],"resultDescription":"Returns two reports: (1) a daily sum series showing the aggregated total of the selected field (mention_count or source_count) per date, and (2) an adjacent row changes report showing the delta between consecutive rows for the selected field — both computed locally from the supplied data without any external lookup.","failureModes":["Missing required fields (row_id, date, company_group) cause validation errors","Dates not matching YYYY-MM-DD pattern are rejected","More than 200 rows exceed the maxItems limit and are rejected","Null values in mention_count or source_count may affect aggregation results","Invalid field enum value (not mention_count or source_count) causes an error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 pre-collected brand mention inventory rows and need both a daily aggregated time series AND consecutive-row delta analysis in a single low-cost call. It is ideal for offline/batch analytical workflows where the data is already assembled and no live data fetching, external enrichment, or prediction is required.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T12:48:57.313Z","isFirstParty":false,"canonicalSlug":"brand-mention-inventories-daily-sum-series-adjacent-row-changes-d4d76dd4"}