{"uid":"cap_jeZY0Iwox2iZczGaR5dEB","slug":"moderation-queues-secondary-measure-weighted-mean-explicit-missing-b838088c","name":"Moderation Queues — Secondary-Measure Weighted Mean + Explicit Missing-Value Fill","description":"Moderation queues — Secondary-measure weighted mean + Explicit missing-value fill: Secondary-measure weighted mean + Explicit missing-value fill for supplied moderation queues records (reported_items, reviewed_items). 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-news-06-187?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","channel_group","date","reported_items","reviewed_items"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"channel_group":{"type":"string","default":"","maxLength":80},"reported_items":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"reviewed_items":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","channel_group":"group-a","reported_items":10,"reviewed_items":1},{"date":"2026-10-02","row_id":"row-2","channel_group":"group-b","reported_items":20,"reviewed_items":2},{"date":"2026-10-03","row_id":"row-3","channel_group":"group-a","reported_items":15,"reviewed_items":3},{"date":"2026-10-04","row_id":"row-4","channel_group":"group-b","reported_items":30,"reviewed_items":4}],"maxItems":200,"minItems":1},"field":{"enum":["reported_items","reviewed_items"],"type":"string","default":"reported_items"},"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_npUEz7XVAz2Y4b1Xfbwk-","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 a secondary-measure weighted mean and fills missing values in moderation queue records (reported_items, reviewed_items) for up to 200 rows, returning two analytical reports.","exampleAgentPrompt":"I have 50 rows of moderation queue data with channel_group, date, reported_items, and reviewed_items — some reviewed_items values are null. Can you compute the weighted mean for reported_items and fill in the missing values using median imputation?","exampleUseCases":[{"title":"Weekly moderation backlog analysis","prompt":"I have a CSV export of our moderation queue for last week — about 120 rows with channel_group, date, reported_items, and reviewed_items, but some reviewed_items entries are blank. Can you compute the weighted mean for reviewed_items and fill those blanks using the median method?"},{"title":"Cross-channel reporting item comparison","prompt":"I need to compare reported_items across our content moderation channels. Here are 80 rows grouped by channel_group and date — a few reported_items values are missing. Please compute the weighted mean for reported_items and fill the gaps with zeros."},{"title":"Trust and safety data quality pass","prompt":"Before I hand off this moderation queue dataset to our analytics team, can you run a weighted mean calculation on reviewed_items and do an explicit missing-value fill using mean imputation? I've got about 150 rows with row_id, channel_group, date, reported_items, and reviewed_items."}],"resultDescription":"Returns two independent analytical reports covering: (1) the secondary-measure weighted mean for the selected field (reported_items or reviewed_items) across the supplied rows, and (2) the dataset with missing values explicitly filled using the chosen method (zero, mean, or median). Results are computed locally without external lookups.","failureModes":["Exceeds 200-row limit — request rejected, split data into batches","Missing required fields (row_id, channel_group, date) — validation error","Invalid date format (not YYYY-MM-DD) — schema validation failure","All values for the selected field are null — weighted mean cannot be computed","Invalid enum for field or method parameters — schema rejection"],"whenToPreferThis":"Choose this endpoint when you need both a weighted mean computation and missing-value imputation on moderation queue data (reported_items/reviewed_items) in a single low-cost call. Ideal for offline/batch statistical pre-processing of up to 200 rows where no live data lookup or prediction is needed. The flat $0.01 USDC fee covering two reports makes it cost-efficient for routine moderation analytics pipelines.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-30T12:36:46.364Z","isFirstParty":false,"canonicalSlug":"moderation-queues-secondary-measure-weighted-mean-explicit-missing-b838088c"}