{"uid":"cap_UYsztlNwhGRWhYfqm_tn9","slug":"brand-mention-inventories-record-quality-audit-equal-width-histogram-c058a888","name":"Brand Mention Inventories — Record Quality Audit + Equal-Width Histogram","description":"Brand mention inventories — Record quality audit + Equal-width histogram: Record quality audit + 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-18-013?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_ABYdC7lT1lnyxyywPY3id","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":"Runs a record quality audit and an equal-width histogram analysis on up to 200 rows of brand mention inventory data (mention_count, source_count).","exampleAgentPrompt":"Can you audit the quality of my brand mention records and show me an equal-width histogram of mention_count with 8 bins? Here are my rows: [{\"row_id\":\"r1\",\"company_group\":\"acme\",\"date\":\"2024-01-01\",\"mention_count\":150,\"source_count\":5},{\"row_id\":\"r2\",\"company_group\":\"acme\",\"date\":\"2024-01-02\",\"mention_count\":null,\"source_count\":3}].","exampleUseCases":[{"title":"Data quality check before pipeline ingestion","prompt":"I have about 80 rows of brand mention data for our quarterly report — can you run a record quality audit on mention_count and source_count to flag any nulls, out-of-range values, or bad dates before we load it into the pipeline?"},{"title":"Histogram of mention counts for campaign analysis","prompt":"Take these 120 brand mention inventory rows and build me a 10-bin equal-width histogram on mention_count so I can see how our mentions are distributed across Acme Corp vs Rivals Inc this month."},{"title":"Source count distribution across company groups","prompt":"I want to understand how source_count is spread across our brand mention records — can you run the equal-width histogram with 5 bins on source_count for these 50 rows, and also flag any data quality issues while you're at it?"}],"resultDescription":"Returns two independent analytical reports: (1) a record quality audit identifying missing values, nulls, type mismatches, or out-of-range entries across the supplied rows; and (2) an equal-width histogram showing the frequency distribution of the selected numeric field (mention_count or source_count) across the specified number of bins (1–30). Both reports are computed locally with no external lookups or predictions.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Missing required fields (row_id, company_group, date, mention_count, source_count) cause validation errors","Invalid date format (not YYYY-MM-DD) triggers schema validation failure","bins value outside 1–30 range rejected","All values null for selected field produces degenerate histogram","Malformed JSON input returns 400-level error"],"whenToPreferThis":"Choose this endpoint when you need a quick, cheap ($0.01 USDC) dual-report on brand mention inventory data quality and numeric distribution — specifically for datasets up to 200 rows with mention_count and source_count fields. Prefer it over general-purpose analytics tools when you want a focused quality audit plus histogram in a single call without setting up a full data pipeline or BI tool.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T12:48:38.313Z","isFirstParty":false,"canonicalSlug":"brand-mention-inventories-record-quality-audit-equal-width-histogram-c058a888"}