{"uid":"cap_m9e3n-Pw52ieIu6AQEOD8","slug":"brand-mention-inventories-numeric-distribution-daily-sum-series-9406de97","name":"Brand Mention Inventories — Numeric Distribution + Daily Sum Series","description":"Brand mention inventories — Numeric distribution + Daily sum series: Numeric distribution + 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-18-075?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_o6efrgWmasoMzIS798Z8v","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 daily sum time series for brand mention inventory data (mention_count, source_count) across up to 200 rows.","exampleAgentPrompt":"Run a numeric distribution and daily sum series on my brand mention inventory data — here are 4 rows: 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 mention_count 20 and source_count 2, row-3 on 2026-10-03 for group-a with mention_count 15 and source_count 3, row-4 on 2026-10-04 for group-b with mention_count 30 and source_count 4 — analyze the mention_count field.","exampleUseCases":[{"title":"Weekly brand mention trend review","prompt":"I have a week of brand mention data across two company groups — can you run a daily sum series and numeric distribution on the mention_count field? Here are 7 rows: row-1 2026-10-01 group-a mention_count 12 source_count 2, row-2 2026-10-02 group-b mention_count 25 source_count 3, row-3 2026-10-03 group-a mention_count 8 source_count 1, row-4 2026-10-04 group-b mention_count 40 source_count 5, row-5 2026-10-05 group-a mention_count 18 source_count 4, row-6 2026-10-06 group-b mention_count 33 source_count 6, row-7 2026-10-07 group-a mention_count 22 source_count 3."},{"title":"Source count distribution across brands","prompt":"Can you compute the numeric distribution and daily sum series for source_count across my brand mention inventory? I have rows: row-1 2026-11-01 group-alpha mention_count 5 source_count 10, row-2 2026-11-02 group-beta mention_count 8 source_count 15, row-3 2026-11-03 group-alpha mention_count 3 source_count 7, row-4 2026-11-04 group-beta mention_count 12 source_count 20 — use source_count as the field."},{"title":"Competitor mention comparison analysis","prompt":"I want to compare brand mention counts for two competitor groups statistically — please run a numeric distribution and daily sum series on the mention_count field for these records: row-1 2026-09-10 competitor-x mention_count 50 source_count 8, row-2 2026-09-11 competitor-y mention_count 30 source_count 5, row-3 2026-09-12 competitor-x mention_count 60 source_count 9, row-4 2026-09-13 competitor-y mention_count 45 source_count 7, row-5 2026-09-14 competitor-x mention_count 55 source_count 10."}],"resultDescription":"Returns two analytical reports on the supplied brand mention inventory rows: (1) a numeric distribution report showing statistical spread (e.g., min, max, mean, percentiles) of the selected field (mention_count or source_count), and (2) a daily sum series aggregating the selected field totals by date. Both reports are computed locally from the supplied data with no external lookups.","failureModes":["Fewer than 1 row supplied — minimum 1 row required","More than 200 rows supplied — maximum is 200 rows per call","Invalid date format (must match YYYY-MM-DD pattern)","Missing required fields: row_id, company_group, date, mention_count, or source_count","Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000)","Invalid field enum value — must be 'mention_count' or 'source_count'","row_id exceeds 80 character limit or is empty"],"whenToPreferThis":"Choose this endpoint when you have brand mention inventory records (with mention_count and source_count per company group and date) and need both a statistical distribution and a daily aggregated time series in a single low-cost call. It is best suited for offline/batch analytical use cases where you supply the data yourself and need two complementary reports — distribution and daily sums — without requiring live data fetching, external lookups, or prediction.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T18:57:19.240Z","isFirstParty":false,"canonicalSlug":"brand-mention-inventories-numeric-distribution-daily-sum-series-9406de97"}