{"uid":"cap_EvjOr8Xqk31ov3jY6b3KO","slug":"brand-mention-inventories-daily-sum-series-equal-width-histogram-588a4d7c","name":"Brand Mention Inventories — Daily Sum Series + Equal-Width Histogram","description":"Brand mention inventories — Daily sum series + Equal-width histogram: Daily sum series + Equal-width histogram 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-18-139?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"bins":{"type":"integer","default":5,"maximum":30,"minimum":1},"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_LtzwS8Xdo8GFThpTY1TXU","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 a daily sum time series and an equal-width histogram for brand mention inventory data (mention_count, source_count) supplied by the caller — up to 200 rows, two reports in one call.","exampleAgentPrompt":"I have 4 rows of brand mention data — row-1 on 2026-10-01 for group-a with mention_count 10 and source_count 1, row-2 on 2026-10-02 for group-b with 20 and 2, row-3 on 2026-10-03 for group-a with 15 and 3, row-4 on 2026-10-04 for group-b with 30 and 4 — can you give me a daily sum series and a 5-bin histogram on the mention_count field?","exampleUseCases":[{"title":"Brand buzz trend over a quarter","prompt":"Here are 90 days of daily brand mention records across two company groups — can you generate a daily sum series and a 10-bin histogram on mention_count so I can see the trend and distribution over the quarter?"},{"title":"Comparing source reach across brands","prompt":"I've got mention inventory rows for three brands over the past month; run a daily sum series and an equal-width histogram with 8 bins on source_count so I can compare how many distinct sources covered each brand each day."},{"title":"Campaign spike detection in mention data","prompt":"We just ran a marketing campaign and I have 150 rows of brand mention data — build me a daily sum series and a 5-bin histogram on mention_count so I can spot any spikes during the campaign window."}],"resultDescription":"Returns two analytical reports: (1) a daily sum time series showing the total of the selected field (mention_count or source_count) aggregated by date, and (2) an equal-width histogram showing the frequency distribution of that field divided into the specified number of bins. Both reports are computed locally from the supplied rows with no external data lookups.","failureModes":["More than 200 rows submitted — request rejected or truncated","Invalid date format (not YYYY-MM-DD) causes row rejection","bins value outside 1–30 range returns a validation error","Missing required row fields (row_id, date, mention_count, source_count, company_group) causes row-level errors","Null values in the selected numeric field may be excluded from aggregation silently","Empty rows array returns an error"],"whenToPreferThis":"Choose this endpoint when you already have brand mention inventory records in hand and need both a time-series daily sum and a histogram distribution report in a single low-cost call ($0.01 USDC). It is ideal for offline/batch analytical summarization of up to 200 rows without needing a live data connection, external prediction, or professional assessment.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T18:57:14.180Z","isFirstParty":false,"canonicalSlug":"brand-mention-inventories-daily-sum-series-equal-width-histogram-588a4d7c"}