{"uid":"cap_1dovHNgP0FhYJMBOWufNn","slug":"record-routing-numeric-interval-filter-explicit-missing-value-fill-7f0cfc8d","name":"Record Routing — Numeric Interval Filter + Explicit Missing-Value Fill","description":"Record routing — Numeric interval filter + Explicit missing-value fill: Numeric interval filter + Explicit missing-value fill for supplied record routing records (accepted_records, rejected_records). 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-analytics-19-135?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","accepted_records","rejected_records"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"dataset_group":{"type":"string","default":"","maxLength":80},"accepted_records":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"rejected_records":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","dataset_group":"group-a","accepted_records":10,"rejected_records":1},{"date":"2026-10-02","row_id":"row-2","dataset_group":"group-b","accepted_records":20,"rejected_records":2},{"date":"2026-10-03","row_id":"row-3","dataset_group":"group-a","accepted_records":15,"rejected_records":3},{"date":"2026-10-04","row_id":"row-4","dataset_group":"group-b","accepted_records":30,"rejected_records":4}],"maxItems":200,"minItems":1},"field":{"enum":["accepted_records","rejected_records"],"type":"string","default":"accepted_records"},"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_Iz5dOgRLIsZ_y2EQ0-zoG","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 record routing rows (accepted_records, rejected_records) to a numeric interval and fills missing values using zero, mean, or median imputation, returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"Take my record routing dataset of up to 200 rows and filter the accepted_records field to only keep values between 0 and 100, then fill any missing values using the median — give me back the two analytical reports.","exampleUseCases":[{"title":"ETL pipeline data quality gate","prompt":"I have a batch of 150 record routing rows with some nulls and out-of-range values in accepted_records — filter it to keep only values between 0 and 500, fill the blanks using the mean, and give me the two cleaned reports."},{"title":"Rejected records anomaly cleanup","prompt":"My rejected_records column has a bunch of missing entries and some crazy outliers. Can you filter the field to values between 0 and 50, impute the missing ones with zero, and run the two reports on the cleaned data?"},{"title":"Daily routing audit with median imputation","prompt":"Run a daily audit on my record routing data — I've got entries from 2026-10-01 through 2026-10-04 across group-a and group-b. Filter accepted_records between 5 and 30 and fill any missing values using the median, then give me both reports."}],"resultDescription":"Two analytical reports covering the filtered and imputed dataset: one for the interval-filtered view (rows where the selected field falls within [minimum, maximum]) and one for the missing-value-filled view (nulls replaced by zero, mean, or median). Reports include processed row data up to 200 rows with no external lookups or predictions.","failureModes":["More than 200 rows submitted — request rejected due to maxItems constraint","Missing required fields (row_id, date, accepted_records, rejected_records) — validation error","Invalid date format (not YYYY-MM-DD) — schema validation failure","Minimum greater than maximum — logical filter error resulting in empty output","Invalid method enum value (not zero/mean/median) — validation error","Invalid field enum value (not accepted_records/rejected_records) — validation error"],"whenToPreferThis":"Choose this endpoint when you need to simultaneously apply a numeric range filter AND handle missing values on record routing data (accepted_records or rejected_records) in a single paid call, getting two independent reports. It is purpose-built for record routing schemas with those exact field names, making it more appropriate than a generic data cleaning service when your data matches the routing dataset shape.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T18:52:06.853Z","isFirstParty":false,"canonicalSlug":"record-routing-numeric-interval-filter-explicit-missing-value-fill-7f0cfc8d"}