{"uid":"cap_368r1TprA_VuS7GBC6vc8","slug":"brand-mention-inventories-record-quality-audit-secondary-measure-28414099","name":"Brand Mention Inventories — Record Quality Audit + Secondary-Measure Weighted Mean","description":"Brand mention inventories — Record quality audit + Secondary-measure weighted mean: Record quality audit + Secondary-measure weighted mean 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-18-016?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_IzWkMOe_BaukEB-XQleFk","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":"Audits record quality and computes a secondary-measure weighted mean for up to 200 rows of brand mention inventory data (mention_count, source_count), producing two independent analytical reports.","exampleAgentPrompt":"Can you audit the quality of these brand mention records and compute the source_count-weighted mean of mention_count? I have 4 rows: row-1 (group-a, 2026-10-01, mentions=10, sources=1), row-2 (group-b, 2026-10-02, mentions=20, sources=2), row-3 (group-a, 2026-10-03, mentions=15, sources=3), row-4 (group-b, 2026-10-04, mentions=30, sources=4).","exampleUseCases":[{"title":"Monthly brand mention data quality check","prompt":"I have 50 rows of brand mention data across three company groups for October — can you run a record quality audit and give me the source-count-weighted mean of mention_count so I can spot bad records and understand the weighted average?"},{"title":"Multi-brand competitive mention analysis","prompt":"Audit the quality of these 120 brand mention inventory rows and compute the weighted mean for source_count — I need to know which records are bad and what the weighted average looks like across group-a and group-b."},{"title":"Marketing team data pipeline validation","prompt":"Before I import this brand mention dataset into our dashboard, can you run a quality audit on these 80 rows and also calculate the secondary-measure weighted mean of mention_count? Flag any rows that look problematic."}],"resultDescription":"Two independent analytical reports: (1) a record quality audit identifying issues such as missing values, out-of-range entries, and consistency problems across the supplied brand mention rows; (2) a weighted mean calculation for the selected field (mention_count or source_count) using the other measure as the weight. Both reports are computed locally with no external lookups.","failureModes":["Submitting more than 200 rows returns a validation error","Missing required row fields (row_id, company_group, date, mention_count, source_count) causes rejection","Invalid date format (not YYYY-MM-DD) fails schema validation","Numeric values outside the allowed range (-1,000,000,000,000 to 1,000,000,000,000) are rejected","Empty rows array returns an error","Invalid field enum value (not 'mention_count' or 'source_count') causes a schema error"],"whenToPreferThis":"Choose this endpoint when you need both a data quality audit and a weighted mean calculation on brand mention inventory data in a single API call. It is ideal for marketing analysts who want to validate the integrity of their brand mention records and compute a source-weighted average without building custom analytics. Best for batch sizes up to 200 rows where no live data lookup or external enrichment is needed.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-16T12:44:55.530Z","isFirstParty":false,"canonicalSlug":"brand-mention-inventories-record-quality-audit-secondary-measure-28414099"}