{"uid":"cap_szKzalgmdvORKgGDtWIuH","slug":"moderation-queues-string-normalisation-and-numeric-interval-filter-50c6e6f7","name":"Moderation Queues String Normalisation and Numeric Interval Filter","description":"Moderation queues — String normalisation + Numeric interval filter: String normalisation + Numeric interval filter 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-06-026?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"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_qYTPIRV7WAWsmJ4F_EPqQ","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":"Normalises string fields and filters rows by a numeric interval for moderation queue data (reported_items, reviewed_items) across up to 200 rows, returning two analytical reports.","exampleAgentPrompt":"Can you normalize the string fields and filter rows where reported_items is between 0 and 100 for my moderation queue data? I have 4 rows across channel groups 'group-a' and 'group-b' dated 2026-10-01 through 2026-10-04.","exampleUseCases":[{"title":"Filter high-volume reported items","prompt":"I have my moderation queue records for October — can you filter down to rows where reported_items falls between 50 and 500 and normalize the channel group strings? Here are 10 rows with row IDs, dates, channel groups, reported_items, and reviewed_items."},{"title":"Review low reviewed_items channels","prompt":"Can you run a string normalisation and numeric interval filter on my moderation data for reviewed_items, keeping only rows where reviewed_items is between 1 and 20? I'll pass you 200 rows across several channel groups."},{"title":"Clean moderation data before dashboard import","prompt":"Before I import this into our dashboard, can you normalize the string fields and filter out any rows where reported_items is outside the range of 0 to 1000 for these 50 moderation queue records?"}],"resultDescription":"Two analytical reports covering string-normalised fields and numeric interval filtering applied to up to 200 rows of moderation queue data, identifying which rows fall within the specified minimum-maximum range for the chosen field (reported_items or reviewed_items).","failureModes":["Fewer than 1 row submitted returns a validation error","More than 200 rows submitted exceeds the row limit","Invalid date format (not YYYY-MM-DD) causes schema rejection","Minimum value greater than maximum value may produce empty result set","Null values in the target numeric field may be excluded or flagged","row_id missing or exceeding 80 characters causes schema rejection"],"whenToPreferThis":"Choose this endpoint when you have moderation queue tabular data (reported_items and reviewed_items) and need lightweight local string normalisation plus numeric interval filtering without requiring live data lookup, machine learning predictions, or external integrations. It is ideal for pre-processing moderation logs before loading into dashboards or downstream pipelines, especially when cost efficiency matters (batch of 2 reports for $0.01 USDC).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-30T12:36:56.145Z","isFirstParty":false,"canonicalSlug":"moderation-queues-string-normalisation-and-numeric-interval-filter-50c6e6f7"}