{"uid":"cap__hlfc9069oWQD98ublqcL","slug":"data-ingestion-batches-iqr-outlier-flags-secondary-measure-weighted-6cf0986c","name":"Data Ingestion Batches — IQR Outlier Flags + Secondary-Measure Weighted Mean","description":"Data ingestion batches — IQR outlier flags + Secondary-measure weighted mean: IQR outlier flags + Secondary-measure weighted mean 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-01-177?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"}}},"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_PMwsrmIr_qYylRUI_frmR","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":"Analyzes data ingestion batch records (received_rows, accepted_rows) to produce IQR-based outlier flags and a secondary-measure weighted mean, across up to 200 rows in two independent reports.","exampleAgentPrompt":"Can you analyze my ingestion batch records for outliers and compute a weighted mean on the received_rows field? I have about 50 rows with row_id, dataset_group, date, received_rows, and accepted_rows — run the IQR outlier flags and secondary-measure weighted mean reports.","exampleUseCases":[{"title":"ETL pipeline anomaly detection","prompt":"I have daily ingestion batch records for the last 3 months across multiple dataset groups — can you flag any outliers in received_rows using IQR and also give me the weighted mean for accepted_rows? I'll send you up to 100 rows with row_id, date, dataset_group, received_rows, and accepted_rows."},{"title":"Data quality audit for ingestion team","prompt":"Our data team wants to audit last quarter's batch ingestion metrics. Can you run the IQR outlier detection plus weighted mean analysis on these ingestion records — there are about 80 rows with received_rows and accepted_rows values — and tell us which batches look anomalous?"},{"title":"Monitoring accepted rows acceptance rate","prompt":"I want to check if any of our ingestion batches had unusually low accepted_rows counts compared to received_rows — can you flag outliers using IQR on the accepted_rows field and compute the secondary-measure weighted mean across these 60 batch records?"}],"resultDescription":"Returns two independent analytical reports: (1) IQR-based outlier flags for each row identifying which data ingestion batch records fall outside the interquartile range for the selected field (received_rows or accepted_rows), and (2) a secondary-measure weighted mean computed across the supplied batch records. Both reports are generated locally from the supplied data with no external lookups.","failureModes":["Exceeding 200 rows returns an error — batches must be split","Missing required fields (row_id, dataset_group, date, received_rows, accepted_rows) cause validation failure","Null values in numeric fields may affect weighted mean computation","Invalid date format (not YYYY-MM-DD) causes schema rejection","Payment failure results in no report being returned"],"whenToPreferThis":"Choose this endpoint when you have up to 200 data ingestion batch records and need both IQR-based outlier detection and a weighted mean computed in a single low-cost call ($0.01 USDC). It is ideal for data engineering or analytics teams monitoring ETL pipeline health, data quality, or ingestion acceptance rates without needing external data lookups or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-16T18:48:39.008Z","isFirstParty":false,"canonicalSlug":"data-ingestion-batches-iqr-outlier-flags-secondary-measure-weighted-6cf0986c"}