{"uid":"cap_MCjYQs7R8syG3HAn7qqkH","slug":"data-ingestion-batches-iqr-outlier-flags-explicit-missing-value-fill-8b23cb59","name":"Data Ingestion Batches — IQR Outlier Flags + Explicit Missing-Value Fill","description":"Data ingestion batches — IQR outlier flags + Explicit missing-value fill: IQR outlier flags + Explicit missing-value fill for supplied data ingestion batches records (received_rows, accepted_rows). 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-01-180?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","received_rows","accepted_rows"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"accepted_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80},"received_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","accepted_rows":1,"dataset_group":"group-a","received_rows":10},{"date":"2026-10-02","row_id":"row-2","accepted_rows":2,"dataset_group":"group-b","received_rows":20},{"date":"2026-10-03","row_id":"row-3","accepted_rows":3,"dataset_group":"group-a","received_rows":15},{"date":"2026-10-04","row_id":"row-4","accepted_rows":4,"dataset_group":"group-b","received_rows":30}],"maxItems":200,"minItems":1},"field":{"enum":["received_rows","accepted_rows"],"type":"string","default":"received_rows"},"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_ZKzqpzu8zj10VDD6uRsye","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":"Flags statistical outliers using IQR and fills missing values in data ingestion batch records (received_rows, accepted_rows) for up to 200 rows.","exampleAgentPrompt":"Can you run IQR outlier flagging and median missing-value fill on my data ingestion batch records? I have rows with row_id, dataset_group, date, received_rows, and accepted_rows — I want to analyze the accepted_rows field using median imputation.","exampleUseCases":[{"title":"Outlier detection in ETL pipeline metrics","prompt":"I have a week's worth of daily ingestion batch data with received_rows and accepted_rows per dataset group — can you flag any IQR outliers and fill missing accepted_rows values using the median?"},{"title":"Data quality audit for ingestion dashboard","prompt":"Before I publish my ingestion dashboard, can you run an IQR outlier check and zero-fill any missing received_rows values across my batch records so I can spot anomalies?"},{"title":"Imputing missing values in multi-group ingestion logs","prompt":"Some of my ingestion batch rows for group-a and group-b have null accepted_rows — can you fill those with the mean and also flag any statistical outliers across the dataset using IQR?"}],"resultDescription":"Returns two independent analytical reports: one flagging IQR-based outliers in the specified field, and one showing explicit missing-value fills using the chosen method (zero, mean, or median) for up to 200 ingestion batch rows.","failureModes":["More than 200 rows submitted — request rejected with validation error","Missing required fields (row_id, date, dataset_group) — row-level validation failure","Invalid date format (not YYYY-MM-DD) — schema validation error","Field value out of allowed numeric range — rejected","Invalid method or field enum value — request rejected"],"whenToPreferThis":"Choose this endpoint when you need fast, local statistical analysis of data ingestion batch metrics (received_rows, accepted_rows) — specifically IQR-based outlier flagging combined with missing-value imputation — in a single low-cost call with no external dependencies or live data lookup.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T00:47:22.900Z","isFirstParty":false,"canonicalSlug":"data-ingestion-batches-iqr-outlier-flags-explicit-missing-value-fill-8b23cb59"}