{"uid":"cap_KHhuvgWval1T0jdjQ4lu3","slug":"brand-mention-inventories-adjacent-row-changes-date-by-category-pivot-d281ce0e","name":"Brand Mention Inventories — Adjacent Row Changes + Date by Category Pivot","description":"Brand mention inventories — Adjacent row changes + Date by category pivot: Adjacent row changes + 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-18-160?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_Jvhx05pQbWopgHTTiJTZk","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":"Computes adjacent row-over-row changes and a date-by-category pivot table for supplied brand mention inventory records (mention_count, source_count), returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"I have brand mention data for group-a and group-b across October 2026 — can you run both reports on it, the adjacent row changes and the date-by-category pivot, using mention_count as the field? The rows have dates from 2026-10-01 to 2026-10-04 with mention counts 10, 20, 15, 30 and source counts 1, 2, 3, 4.","exampleUseCases":[{"title":"Track brand mention momentum week over week","prompt":"I have 50 rows of daily brand mention data for three company groups from Q3 — can you compute the adjacent row changes for mention_count so I can see where momentum shifted between consecutive days?"},{"title":"Pivot brand mentions by date and company group","prompt":"Take my brand mention inventory records for group-a and group-b over the last month and generate a date-by-category pivot using source_count — I want to see how each group compares across dates in one table."},{"title":"Dual report on competitor mention inventory","prompt":"Here's my brand mention dataset with 120 rows covering five competitor groups through November 2026 — run both the adjacent row change report and the date-by-category pivot on mention_count so I can spot trends and cross-group patterns at once."}],"resultDescription":"Returns two analytical reports derived entirely from supplied data: (1) an adjacent row changes report showing the difference in the selected metric (mention_count or source_count) between each consecutive row, and (2) a date-by-category pivot table cross-tabulating the metric values by date and company_group. No external data is fetched; all computation is performed on the provided rows (up to 200).","failureModes":["Missing required row fields (row_id, company_group, date, mention_count, source_count) causes validation error","Date strings not matching YYYY-MM-DD pattern are rejected","Exceeding 200 rows returns an error","Invalid field enum value (not mention_count or source_count) causes rejection","Empty rows array is not accepted (minItems: 1)","Payment of 0.01 USDC must be included via x402 protocol or request is rejected"],"whenToPreferThis":"Choose this endpoint when you have an in-hand dataset of brand mention inventory records (up to 200 rows) and need both a row-over-row change analysis and a date-by-category pivot in a single low-cost call. It is ideal for offline/batch analytical workflows where no live data lookup, prediction, or external enrichment is needed — just fast local computation on supplied rows. At $0.01 USDC for two reports, it is highly cost-efficient for structured brand mention time-series analysis.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T12:48:39.781Z","isFirstParty":false,"canonicalSlug":"brand-mention-inventories-adjacent-row-changes-date-by-category-pivot-d281ce0e"}