{"uid":"cap_W3EmRBJ4vdxwExD-ATLL8","slug":"brand-mention-inventories-numeric-distribution-trailing-mean-series-dfa4f167","name":"Brand Mention Inventories — Numeric Distribution + Trailing Mean Series","description":"Brand mention inventories — Numeric distribution + Trailing mean series: Numeric distribution + Trailing mean series 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-18-076?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_tL7h0kMLdXynxLRGoqt-v","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 numeric distribution statistics and a trailing mean series for brand mention inventory data (mention_count, source_count) supplied by the caller — no external lookups.","exampleAgentPrompt":"I have a batch of brand mention records for two company groups — 'group-a' and 'group-b' — with daily mention_count and source_count values from October 2026. Can you run both the numeric distribution report and the trailing mean series (window of 7) on the mention_count field for all 200 rows?","exampleUseCases":[{"title":"Monthly brand mention trend analysis","prompt":"I've got 150 rows of daily brand mention data for three company groups from Q3 2026, each with a mention_count and source_count. Can you compute the numeric distribution and trailing mean series with a window of 14 for mention_count so I can see how coverage is trending?"},{"title":"Source diversity stats for competitor benchmarking","prompt":"Here are 80 brand mention records across two competitor groups — please run the numeric distribution and trailing mean report on source_count with a window of 7, so I can compare how diversified their media coverage is over time."},{"title":"Weekly rolling average for PR campaign monitoring","prompt":"I need to track our PR campaign's reach: I have 60 rows of brand mention data with daily mention_count figures for 'brand-x'. Can you calculate the numeric distribution and a trailing mean series using a window of 5 on mention_count?"}],"resultDescription":"Returns two analytical reports for the supplied dataset: (1) a numeric distribution summary (e.g. min, max, mean, percentiles) for the chosen field, and (2) a trailing mean series computed over the specified rolling window — both derived entirely from caller-supplied rows, with no external data fetched.","failureModes":["Fewer than 1 row supplied — validation error","More than 200 rows supplied — request rejected","Invalid date format (non YYYY-MM-DD) — schema validation failure","Missing required fields (row_id, company_group, date, mention_count, source_count) — rejection","Window size outside 2–200 range — validation error","Non-numeric values in mention_count or source_count fields — processing error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of brand mention inventory data already in hand and need both a numeric distribution summary and a trailing mean time series in a single low-cost call ($0.01 USDC). It is purely analytical — no external lookups, predictions, or live data — making it ideal for offline post-processing of collected brand monitoring datasets.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T12:48:35.520Z","isFirstParty":false,"canonicalSlug":"brand-mention-inventories-numeric-distribution-trailing-mean-series-dfa4f167"}