{"uid":"cap_f6bPkjc_QUnWABipGUj-4","slug":"brand-mention-inventories-numeric-interval-filter-daily-sum-series-7fd95727","name":"Brand Mention Inventories — Numeric Interval Filter + Daily Sum Series","description":"Brand mention inventories — Numeric interval filter + Daily sum series: Numeric interval filter + Daily sum 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-18-125?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"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_kWV9w20_Pxl92PuOU343D","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":"Filters brand mention inventory rows by a numeric range and computes daily sum time series for mention_count or source_count, returning two analytical reports for up to 200 supplied rows.","exampleAgentPrompt":"I have 150 rows of brand mention inventory data with dates, company groups, mention_count, and source_count — can you filter them to only rows where mention_count is between 5 and 500, and give me the daily sum series for mention_count?","exampleUseCases":[{"title":"Daily brand mention volume trend analysis","prompt":"Here are our brand mention records for Q3 across two company groups — filter to rows where mention_count is between 10 and 1000, and show me the daily sum series so I can see how total mentions trended day by day."},{"title":"Source coverage range filtering for PR report","prompt":"I've got 80 rows of brand mention inventory data. Can you filter to only records where source_count falls between 2 and 50, then compute the daily sum of source_count so I can see which days had the most coverage sources?"},{"title":"Anomaly-free daily mention aggregation","prompt":"I want to exclude outlier rows from my brand mention dataset — keep only records where mention_count is between 0 and 200, then give me the daily total mentions as a time series so I can spot trends without the noise."}],"resultDescription":"Two analytical reports: (1) the subset of input rows whose selected field value (mention_count or source_count) falls within the specified [minimum, maximum] numeric interval, and (2) a daily sum time series aggregating that field's values by date across all supplied rows — both computed locally from the provided data with no external lookup.","failureModes":["Missing required row fields (row_id, date, company_group) returns a validation error","Exceeding 200 rows input limit returns a rejection","Invalid date format (not YYYY-MM-DD) causes a parsing error","minimum greater than maximum causes an empty filter result or error","Null values in the selected numeric field may be excluded from aggregation","Payment of 0.01 USDC not included or rejected causes a 402 error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 brand mention inventory rows already on hand and need both a numeric range filter and a daily sum time series in a single paid call. It is ideal for brand monitoring workflows where you want to exclude out-of-range noise and simultaneously observe day-by-day volume trends without querying an external data source. Prefer it over general analytics platforms when cost predictability ($0.01 flat for two reports) and local computation on supplied data matter.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T18:57:04.957Z","isFirstParty":false,"canonicalSlug":"brand-mention-inventories-numeric-interval-filter-daily-sum-series-7fd95727"}