{"uid":"cap_zRS1LW1Phad-tHVGadc69","slug":"data-ingestion-batches-daily-sum-series-iqr-outlier-flags-88656af4","name":"Data Ingestion Batches — Daily Sum Series + IQR Outlier Flags","description":"Data ingestion batches — Daily sum series + IQR outlier flags: Daily sum series + IQR outlier flags 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-01-140?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_o8eK9Lhszf11djYQYqDdr","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":"Computes daily sum time series and IQR-based outlier flags for data ingestion batch metrics (received_rows, accepted_rows) across up to 200 supplied records.","exampleAgentPrompt":"Can you analyze my ingestion batch data and give me the daily sum series plus IQR outlier flags for received_rows? Here are the records: group-a on 2026-10-01 received 10 rows and accepted 1, group-b on 2026-10-02 received 20 rows and accepted 2, group-a on 2026-10-03 received 15 rows and accepted 3, group-b on 2026-10-04 received 30 rows and accepted 4.","exampleUseCases":[{"title":"ETL pipeline anomaly detection","prompt":"I have 4 months of daily ingestion logs across two dataset groups — can you compute the daily sum series for accepted_rows and flag any IQR outliers so I can see which days had abnormally low acceptance rates?"},{"title":"Data quality monitoring for ingestion batches","prompt":"Run IQR outlier detection on my received_rows ingestion data for dataset groups 'sales' and 'inventory' over the past 90 days — I want to know which days were statistical outliers and what the daily totals looked like."},{"title":"Comparing accepted vs received rows over time","prompt":"Here's a batch of 50 ingestion records for my data platform — can you build a daily sum series for the received_rows field and flag any outliers using the IQR method, grouped by dataset_group?"}],"resultDescription":"Returns two analytical reports: (1) a daily sum time series aggregating the selected metric (received_rows or accepted_rows) by date, and (2) IQR-based outlier flags identifying rows or days that fall outside the interquartile range. Both reports are derived from the supplied data only, with no external lookups or predictions.","failureModes":["Input array exceeds 200 rows — request will be rejected or truncated","Missing required fields (row_id, dataset_group, date, received_rows, accepted_rows) cause validation errors","Invalid date format (non-YYYY-MM-DD) causes parsing failure","Null numeric values may affect IQR computation if too prevalent","Fewer than 4 data points may make IQR computation statistically unreliable","Payment not completed via x402 protocol results in 402 response"],"whenToPreferThis":"Choose this endpoint when you need both a daily aggregation view and statistical outlier detection (IQR) on data ingestion batch metrics in a single call. It is ideal for data engineers monitoring ETL pipeline health, QA teams checking row acceptance rates, or analysts needing a quick statistical summary without setting up local analytics infrastructure. Prefer this over single-report endpoints when you want both the sum series and outlier flags together at a fixed cost of $0.01 USDC for up to 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T00:52:28.175Z","isFirstParty":false,"canonicalSlug":"data-ingestion-batches-daily-sum-series-iqr-outlier-flags-88656af4"}