{"uid":"cap_ha_abI-BnZ3hjMWcS4mGU","slug":"brand-mention-inventories-trailing-mean-series-adjacent-row-changes-fd3f6f2a","name":"Brand Mention Inventories — Trailing Mean Series + Adjacent Row Changes","description":"Brand mention inventories — Trailing mean series + Adjacent row changes: Trailing mean 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-18-146?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"},"window":{"type":"integer","default":2,"maximum":200,"minimum":2}}},"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_d3NQhOucD1pKdGl0oIdgj","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 trailing moving-average series and adjacent-row delta changes for brand mention inventory data (mention_count or source_count) across up to 200 rows, returning two analytical reports.","exampleAgentPrompt":"Calculate the trailing mean series and adjacent row changes for my brand mention data — I have 50 rows with mention_count and source_count for company groups like 'acme-corp', using a window size of 5, and I want the report based on mention_count.","exampleUseCases":[{"title":"Brand buzz trend smoothing","prompt":"I have weekly brand mention data for three competitors over the past quarter — can you compute a trailing mean series with a window of 4 on mention_count to smooth out the noise and also show me the week-over-week deltas?"},{"title":"Source diversity shift detection","prompt":"Run trailing mean and adjacent row change analysis on my source_count data for brand group 'techbrand-x' across 30 daily rows, using a window of 3, so I can see if our source diversity is trending up or down."},{"title":"Multi-group mention inventory audit","prompt":"I've got 120 rows of brand mention inventory records split across 5 company groups — analyze the mention_count field with a trailing window of 7 and give me both the smoothed series and the row-by-row changes for each group."}],"resultDescription":"Two analytical reports: (1) a trailing mean series showing the rolling average of the selected field (mention_count or source_count) over the specified window size, and (2) an adjacent row changes report showing the difference between consecutive row values — both computed locally against the supplied dataset of up to 200 rows.","failureModes":["Missing required row fields (row_id, date, company_group) returns a validation error","Window size larger than number of rows may produce partial or empty trailing mean results","Rows exceeding 200-item limit are rejected","Malformed date strings not matching YYYY-MM-DD pattern cause validation failure","Null values in the selected metric field may produce gaps in the mean series"],"whenToPreferThis":"Choose this endpoint when you have brand mention inventory data already in hand and need fast, local computation of rolling averages and period-over-period deltas without any external data lookup, prediction, or enrichment. Ideal for agents that batch-process brand monitoring records and need two complementary analytical views (smoothed trend + raw delta) in a single low-cost call.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T18:57:11.868Z","isFirstParty":false,"canonicalSlug":"brand-mention-inventories-trailing-mean-series-adjacent-row-changes-fd3f6f2a"}