{"uid":"cap_6KrGrbiq6vjRrftlPOcXH","slug":"brand-mention-inventories-numeric-row-ordering-two-measure-correlation-c11a8413","name":"Brand Mention Inventories — Numeric Row Ordering + Two-Measure Correlation","description":"Brand mention inventories — Numeric row ordering + Two-measure correlation: Numeric row ordering + 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-18-120?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_NCMbY_daqwPRI6B5K23zB","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":"Sorts brand mention inventory rows numerically and computes the correlation between mention_count and source_count across up to 200 supplied records, returning two analytical reports.","exampleAgentPrompt":"I have a list of brand mention records with dates, company groups, mention counts, and source counts — can you sort them numerically by mention_count and also run a correlation analysis between mention_count and source_count across all rows?","exampleUseCases":[{"title":"PR team brand ranking report","prompt":"Here are 150 brand mention records across our competitor companies with dates, mention counts, and source counts — can you rank them by mention_count and tell me how strongly source_count correlates with mention_count?"},{"title":"Monthly media coverage correlation check","prompt":"I've got brand mention data for October 2026 across groups A and B, with mention_count and source_count per row — please sort the rows by source_count and compute the correlation between the two measures."},{"title":"Agency client brand analytics summary","prompt":"Can you take these 80 brand mention inventory rows for our client and produce a numeric ordering by mention_count plus a two-measure correlation report between mention_count and source_count?"}],"resultDescription":"Two analytical reports: (1) a numerically ordered ranking of the supplied brand mention rows by the chosen field (mention_count or source_count), and (2) a correlation analysis between mention_count and source_count across all submitted rows. No external data is fetched; all computation is performed locally on the supplied rows.","failureModes":["Missing required fields (row_id, company_group, date, mention_count, source_count) cause validation errors","Exceeding 200 rows returns an error or truncation","Invalid date format (not YYYY-MM-DD) causes rejection","Null values in both numeric fields may reduce correlation reliability","Empty rows array returns an error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 brand mention inventory records with mention_count and source_count fields and need both a numeric row ranking and a correlation between those two measures in a single call. It is ideal for PR analysts, brand managers, or marketing agents who want quick offline statistical summaries without external data lookups or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T18:57:18.556Z","isFirstParty":false,"canonicalSlug":"brand-mention-inventories-numeric-row-ordering-two-measure-correlation-c11a8413"}