{"uid":"cap_6Adgpk_sOto2md2UM_UBf","slug":"data-ingestion-batches-grouped-numeric-summary-numeric-interval-filter-5b06d2d3","name":"Data Ingestion Batches — Grouped Numeric Summary + Numeric Interval Filter","description":"Data ingestion batches — Grouped numeric summary + Numeric interval filter: Grouped numeric summary + Numeric interval filter 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-01-088?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"},"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_XBumxWO6BeYUgPHRnyVkp","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 by producing a grouped numeric summary and a numeric interval-filtered report for received_rows and accepted_rows fields.","exampleAgentPrompt":"Can you analyze these data ingestion batch records — group them by dataset_group and give me a numeric summary of received_rows, and also filter to only show batches where received_rows is between 5 and 50? Here are the rows: [{\"row_id\":\"r1\",\"dataset_group\":\"group-a\",\"date\":\"2026-10-01\",\"received_rows\":10,\"accepted_rows\":8},{\"row_id\":\"r2\",\"dataset_group\":\"group-b\",\"date\":\"2026-10-02\",\"received_rows\":30,\"accepted_rows\":25}]","exampleUseCases":[{"title":"Pipeline acceptance rate audit","prompt":"I have 50 ingestion batch records across three dataset groups — can you group them by dataset_group and summarize accepted_rows stats, and also filter to show me only records where accepted_rows is between 10 and 100? I'll paste the rows now."},{"title":"Anomaly triage in received rows","prompt":"Some of our ingestion batches look suspicious — can you filter the records where received_rows falls between 0 and 5 (suspiciously low), and also give me a grouped summary by dataset_group for received_rows so I can see which groups are underperforming?"},{"title":"Daily ingestion batch reporting","prompt":"Here are today's ingestion batch records across multiple dataset groups. Give me a grouped numeric summary of received_rows by dataset_group, and filter down to batches where received_rows is between 100 and 500 so I can spot the mid-volume ones."}],"resultDescription":"Returns two reports: (1) a grouped numeric summary (e.g. count, sum, mean, min, max) of the selected field (received_rows or accepted_rows) broken down by dataset_group, and (2) a filtered list of rows where the selected field falls within the specified minimum and maximum numeric interval. Up to 200 input rows supported per call.","failureModes":["Missing required fields (row_id, dataset_group, date, received_rows, accepted_rows) causes validation error","More than 200 rows submitted returns an error or truncation","Invalid date format (not YYYY-MM-DD) causes schema rejection","Minimum greater than maximum in interval filter may return empty results or an error","Non-numeric values in received_rows or accepted_rows fields cause parsing failures","Payment not included or insufficient USDC results in HTTP 402 rejection"],"whenToPreferThis":"Choose this endpoint when you have up to 200 data ingestion batch records and need both a grouped statistical summary by dataset_group AND a numeric range filter on received_rows or accepted_rows in a single call. It is purpose-built for ingestion pipeline analytics on supplied data without any external lookups, making it ideal for lightweight, self-contained batch QA or reporting workflows at minimal cost ($0.01 USDC for both reports).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:46.367Z","isFirstParty":false,"canonicalSlug":"data-ingestion-batches-grouped-numeric-summary-numeric-interval-filter-5b06d2d3"}