{"uid":"cap_n4RDmSyr7NmMMez5Ft1rx","slug":"brand-mention-inventories-equal-width-histogram-explicit-missing-2fc6bbab","name":"Brand Mention Inventories — Equal-Width Histogram + Explicit Missing-Value Fill","description":"Brand mention inventories — Equal-width histogram + Explicit missing-value fill: Equal-width histogram + Explicit missing-value fill 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-18-175?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"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"}}},"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_Cl0i0jv5f3LppO3CfQr9Q","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":"Generates an equal-width histogram and fills missing values for brand mention inventory data (mention_count, source_count) across up to 200 rows in two independent analytical reports.","exampleAgentPrompt":"I have 150 rows of brand mention inventory data with mention_count and source_count — can you run an equal-width histogram with 10 bins on the mention_count field and fill any missing values using the median method?","exampleUseCases":[{"title":"Marketing team distribution analysis","prompt":"We have 120 rows of brand mention records across several company groups with some nulls in mention_count — can you build a 7-bin equal-width histogram on mention_count and fill missing values using median so we can see the distribution?"},{"title":"Source diversity audit with zero-fill","prompt":"I've got a dataset of 80 brand mention inventory records and I want to understand how source_count is distributed — please create a 5-bin histogram on source_count and fill any missing values with zero."},{"title":"Multi-brand mention benchmarking","prompt":"Here are 200 rows of brand mention inventory data for groups A, B, and C — can you generate a 15-bin equal-width histogram on mention_count using mean imputation for missing values so I can compare the distributions?"}],"resultDescription":"Returns two analytical reports for the supplied brand mention inventory rows: (1) an equal-width histogram showing bin boundaries and row counts for the selected field (mention_count or source_count), and (2) the dataset with missing values explicitly filled using the chosen method (zero, mean, or median). Reports are computed locally with no external lookups.","failureModes":["Fewer than 1 or more than 200 rows provided — request rejected","bins parameter outside 1–30 range — validation error","Missing required row fields (row_id, date, company_group) — schema validation failure","Invalid date format (not YYYY-MM-DD) — pattern validation error","Numeric values outside allowed range (±1,000,000,000,000) — validation error","Unrecognized fill method or field enum value — schema rejection"],"whenToPreferThis":"Choose this endpoint when you need both histogram binning and missing-value imputation for brand mention inventory data (mention_count or source_count) in a single paid call. Ideal for offline/batch analytical workflows on supplied datasets up to 200 rows where no live data lookup or external enrichment is needed. At $0.01 USDC for two reports, it is cost-effective for quick distribution analysis and data cleaning in one step.","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-equal-width-histogram-explicit-missing-2fc6bbab"}