{"uid":"cap_y3qES54iHCbxZVI05GNea","slug":"data-ingestion-batches-daily-sum-series-adjacent-row-changes-796738c4","name":"Data Ingestion Batches — Daily Sum Series + Adjacent Row Changes","description":"Data ingestion batches — Daily sum series + Adjacent row changes: Daily sum series + Adjacent row changes 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-01-137?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_wlXBtwCBDfhZAQmZNATj6","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":"Runs two local analytics reports on supplied data ingestion batch records: a daily sum series and adjacent row changes for received_rows or accepted_rows.","exampleAgentPrompt":"Can you run the daily sum series and adjacent row changes report on my ingestion batch data — here are up to 200 rows with row_id, dataset_group, date, received_rows, and accepted_rows — and analyze the received_rows field?","exampleUseCases":[{"title":"Daily ingestion volume trend audit","prompt":"I have a week of data ingestion batch records across two dataset groups — can you compute the daily sum series for received_rows so I can see how total volume trended each day?"},{"title":"Spot anomalies in accepted row counts","prompt":"Run adjacent row changes on my accepted_rows data for these ingestion batches — I want to see where big jumps or drops happened between consecutive rows so I can flag anomalies."},{"title":"Compare groups in pipeline quality review","prompt":"Here are 150 ingestion batch records for groups 'raw-events' and 'clean-events' — give me both the daily sums and the adjacent row changes for accepted_rows so I can compare pipeline quality across groups."}],"resultDescription":"Returns two reports: (1) a daily sum series aggregating the selected metric (received_rows or accepted_rows) by date across all supplied rows, and (2) an adjacent row changes report showing differences between consecutive rows for the selected metric. Both reports are computed locally from the supplied data with no external lookups.","failureModes":["Fewer than 1 row supplied — request rejected","More than 200 rows supplied — exceeds maxItems limit","Missing required fields (row_id, dataset_group, date, received_rows, accepted_rows) — validation error","Invalid date format (must match YYYY-MM-DD) — pattern mismatch error","Numeric values outside allowed range (±1,000,000,000,000) — schema violation","Invalid field selector value — must be 'received_rows' or 'accepted_rows'"],"whenToPreferThis":"Choose this endpoint when you have up to 200 data ingestion batch records and need both a daily aggregation summary and a consecutive-row delta analysis in a single call. Ideal for ETL pipeline audits, data quality reviews, and ingestion volume trend analysis where no live data lookup or external enrichment is needed. Prefer this over general analytics tools when working with structured batch ingestion logs keyed by date and dataset group.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T00:52:24.980Z","isFirstParty":false,"canonicalSlug":"data-ingestion-batches-daily-sum-series-adjacent-row-changes-796738c4"}