{"uid":"cap_47ka6onldZ0KCsRV3ToNW","slug":"data-ingestion-batches-adjacent-row-changes-date-by-category-pivot-ad44d3a3","name":"Data Ingestion Batches — Adjacent Row Changes & Date-by-Category Pivot Analytics","description":"Data ingestion batches — Adjacent row changes + Date by category pivot: Adjacent row changes + Date by category pivot 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-01-160?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_778mN51DwBbdwJ13302IB","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 analytical reports on data ingestion batch records: adjacent row-to-row change detection and a date-by-category pivot table, for up to 200 rows of received/accepted row counts.","exampleAgentPrompt":"Can you run the adjacent row changes and date-by-category pivot analysis on my ingestion batch data — here are up to 200 rows with row_id, dataset_group, date, received_rows, and accepted_rows — and use accepted_rows as the field to analyze?","exampleUseCases":[{"title":"ETL pipeline acceptance rate audit","prompt":"I have my ETL batch records for the past month — each row has a row_id, dataset_group, date, received_rows, and accepted_rows. Can you run the adjacent row changes report and the date-by-category pivot on accepted_rows so I can see where batches dropped off?"},{"title":"Daily ingestion volume comparison by group","prompt":"Here are 150 rows of ingestion batch data across two dataset groups — group-a and group-b — with dates and received_rows counts. Run the adjacent row changes and date pivot reports using received_rows so I can compare daily volumes side by side."},{"title":"Spot sequential drops in accepted data","prompt":"I want to catch any sudden drops between consecutive ingestion batches. Can you analyze these batch records — row_id, dataset_group, date, received_rows, accepted_rows — using the adjacent row changes and date-by-category pivot reports on accepted_rows?"}],"resultDescription":"Returns two analytical reports: (1) an adjacent row changes report showing delta values between consecutive rows for the selected field (received_rows or accepted_rows), and (2) a date-by-category pivot table grouping the selected metric by date and dataset_group. 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) cause validation errors","Invalid date format (must be YYYY-MM-DD) causes schema rejection","Numeric values outside ±1,000,000,000,000 range rejected","Empty rows array rejected (minItems: 1)","Invalid field enum value (must be 'received_rows' or 'accepted_rows') causes error","Payment failure via x402 protocol results in no response"],"whenToPreferThis":"Choose this endpoint when you have up to 200 data ingestion batch records with received/accepted row counts and need both a sequential change analysis AND a date-by-category pivot in a single low-cost call ($0.01 USDC). Ideal for ETL monitoring, pipeline audits, and batch acceptance tracking where no live data lookup or external enrichment is needed — everything is computed from your supplied data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T00:52:34.653Z","isFirstParty":false,"canonicalSlug":"data-ingestion-batches-adjacent-row-changes-date-by-category-pivot-ad44d3a3"}