{"uid":"cap_e3j8NCdgiBlDtfQYNwMHH","slug":"data-ingestion-batches-daily-sum-series-two-measure-correlation-c196da27","name":"Data Ingestion Batches — Daily Sum Series + Two-Measure Correlation","description":"Data ingestion batches — Daily sum series + Two-measure correlation: Daily sum series + Two-measure correlation 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-01-141?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_xoUFiqDYBBKLjyAOqfz0P","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 a daily sum time series and a two-measure correlation (received_rows vs accepted_rows) for up to 200 supplied data ingestion batch records.","exampleAgentPrompt":"Can you analyze my data ingestion batch records and give me both a daily sum series for received_rows and a correlation report between received_rows and accepted_rows? Here's my data: rows for group-a and group-b from 2026-10-01 to 2026-10-04.","exampleUseCases":[{"title":"Pipeline throughput trend analysis","prompt":"I have 120 days of ingestion batch records with received_rows and accepted_rows per dataset group — can you compute the daily sum series for received_rows and also show me the correlation between received_rows and accepted_rows across all those records?"},{"title":"Data quality drop investigation","prompt":"Our acceptance rate seems to have dropped lately. Can you run a daily sum series on accepted_rows and a correlation analysis between received_rows and accepted_rows for this batch of 80 ingestion records so I can spot where things went wrong?"},{"title":"Multi-group ingestion volume summary","prompt":"I've got ingestion logs across three dataset groups for the past month, up to 150 rows. Please generate a daily sum time series for received_rows and a two-measure correlation report comparing received_rows and accepted_rows from this data."}],"resultDescription":"Two analytical reports: (1) a daily sum time series aggregating the chosen field (received_rows or accepted_rows) by date across all supplied rows, and (2) a correlation analysis between received_rows and accepted_rows across the supplied records. Both reports are computed locally from the supplied data with no external lookups.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Missing required fields (row_id, dataset_group, date, received_rows, accepted_rows) in any row — validation error","Date values not matching YYYY-MM-DD pattern — schema validation failure","Numeric values outside allowed range (±1,000,000,000,000) — validation error","Empty rows array — minimum 1 item required","Null values in both measure fields for all rows — may produce degenerate correlation result"],"whenToPreferThis":"Choose this endpoint when you have raw data ingestion batch records (received_rows, accepted_rows) and need both a daily aggregated time series AND a correlation analysis between the two measures in a single low-cost call. It is ideal for lightweight, offline-style analytics on pipeline data without needing a full BI tool or external data warehouse query. Best suited for up to 200 rows of supplied data where no live database connection, prediction, or external enrichment is needed.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T00:47:29.459Z","isFirstParty":false,"canonicalSlug":"data-ingestion-batches-daily-sum-series-two-measure-correlation-c196da27"}