{"uid":"cap__VWgsZtxXEEKvNEKE8iBo","slug":"syndication-observations-numeric-interval-filter-explicit-missing-f7bbd7c2","name":"Syndication Observations — Numeric Interval Filter + Explicit Missing-Value Fill","description":"Syndication observations — Numeric interval filter + Explicit missing-value fill: Numeric interval filter + Explicit missing-value fill for supplied syndication observations records (republished_items, source_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-20-135?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","channel_group","date","republished_items","source_items"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"source_items":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"channel_group":{"type":"string","default":"","maxLength":80},"republished_items":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","source_items":1,"channel_group":"group-a","republished_items":10},{"date":"2026-10-02","row_id":"row-2","source_items":2,"channel_group":"group-b","republished_items":20},{"date":"2026-10-03","row_id":"row-3","source_items":3,"channel_group":"group-a","republished_items":15},{"date":"2026-10-04","row_id":"row-4","source_items":4,"channel_group":"group-b","republished_items":30}],"maxItems":200,"minItems":1},"field":{"enum":["republished_items","source_items"],"type":"string","default":"republished_items"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"},"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_pXFpL4sc6FY5L53fAUCKT","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":"Filters syndication observation rows to a numeric interval and fills missing values in republished_items or source_items using zero, mean, or median imputation, producing two analytical reports for up to 200 rows.","exampleAgentPrompt":"I have 150 rows of syndication observation data with channel groups and dates — can you filter republished_items to only keep values between 0 and 500, then fill any missing values using the median, and give me two analytical reports on the result?","exampleUseCases":[{"title":"Clean syndication pipeline for reporting","prompt":"I've got a batch of syndication records with nulls in the republished_items column — please filter to values between 5 and 10000 and fill missing entries using the mean, then give me the two summary reports."},{"title":"Outlier removal from source item counts","prompt":"Can you filter my source_items syndication data to only rows between 1 and 250000, fill any nulls with zero, and run both analytical reports on the cleaned dataset across my channel groups?"},{"title":"Null imputation for news feed analytics","prompt":"I have daily syndication observations across several channel groups and some source_items values are missing — please fill those with the median and keep only rows where source_items falls between 10 and 50000, then produce the two reports."}],"resultDescription":"Returns two independent analytical reports on the supplied syndication observation rows after applying the specified numeric interval filter (min/max) to the chosen field and filling any null/missing values using the selected method (zero, mean, or median). Reports are computed locally with no external lookups.","failureModes":["Rows array empty or missing — minItems:1 not met","More than 200 rows submitted — maxItems exceeded","Invalid date format in rows (must match YYYY-MM-DD pattern)","Field value outside allowed numeric bounds (±1,000,000,000,000)","Invalid enum value for method or field parameter","Missing required row properties (row_id, channel_group, date, republished_items, source_items)","Payment not completed or insufficient USDC balance"],"whenToPreferThis":"Choose this endpoint when you need to clean a dataset of syndication observations (republished_items and source_items) by both filtering rows to a defined numeric interval and imputing missing values in a single pass, receiving two analytical reports for up to 200 rows at low cost. It is purpose-built for syndication/content republishing data schemas and is ideal when you need repeatable, deterministic local analysis with no external data lookups or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T12:31:28.053Z","isFirstParty":false,"canonicalSlug":"syndication-observations-numeric-interval-filter-explicit-missing-f7bbd7c2"}