{"uid":"cap_lbP1VTjI1f_wMjkw1n1x1","slug":"brand-mention-inventories-numeric-distribution-two-measure-correlation-8d51639c","name":"Brand Mention Inventories — Numeric Distribution & Two-Measure Correlation","description":"Brand mention inventories — Numeric distribution + Two-measure correlation: Numeric distribution + Two-measure correlation 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-18-081?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_DLw8gxhdDe3kcPVu0G_aI","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 correlation between mention_count and source_count for supplied brand mention inventory records (up to 200 rows).","exampleAgentPrompt":"Can you run a numeric distribution report and correlation analysis on my brand mention inventory data? I have up to 50 rows with mention_count and source_count fields for two company groups — please analyze mention_count as the primary field.","exampleUseCases":[{"title":"Brand share-of-voice statistical audit","prompt":"I have 120 rows of brand mention data across three company groups with dates and mention counts — can you compute the numeric distribution for mention_count and also show me the correlation between mention_count and source_count?"},{"title":"PR campaign source diversity check","prompt":"After our Q3 PR campaign I have 80 brand mention records with both mention_count and source_count. Can you run both a distribution analysis and a two-measure correlation on that data to see if higher mention counts are coming from more diverse sources?"},{"title":"Competitive brand monitoring summary","prompt":"I'm tracking two competitor brands daily and have 150 rows with date, company_group, mention_count, and source_count. Give me a numeric distribution and correlation report using source_count as the primary field."}],"resultDescription":"Returns two analytical reports for the supplied dataset: (1) a numeric distribution report showing spread, central tendency, and frequency characteristics of the selected field (mention_count or source_count), and (2) a two-measure correlation report quantifying the statistical relationship between mention_count and source_count across up to 200 input rows.","failureModes":["Missing required fields (row_id, date, company_group) cause validation errors","Fewer than 1 row or more than 200 rows triggers schema validation failure","Invalid date format (non YYYY-MM-DD) causes rejection","Null values in both measure fields may reduce correlation reliability","Extreme numeric values outside ±1,000,000,000,000 are rejected"],"whenToPreferThis":"Choose this endpoint when you have pre-collected brand mention inventory data (up to 200 rows) and need both a distribution summary and a correlation between mention_count and source_count in a single low-cost call. It is ideal for offline/batch statistical analysis of brand monitoring datasets without requiring any live data lookup, external enrichment, or prediction.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T12:48:53.737Z","isFirstParty":false,"canonicalSlug":"brand-mention-inventories-numeric-distribution-two-measure-correlation-8d51639c"}