{"uid":"cap_uJx-NBKhATiUoIHwwO9Iw","slug":"data-reconciliation-adjacent-row-changes-date-by-category-pivot-136e4023","name":"Data Reconciliation: Adjacent Row Changes + Date-by-Category Pivot","description":"Data reconciliation — Adjacent row changes + Date by category pivot: Adjacent row changes + Date by category pivot for supplied data reconciliation records (source_total, target_total). 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-11-160?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","source_total","target_total"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"source_total":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"target_total":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","source_total":10,"target_total":1,"dataset_group":"group-a"},{"date":"2026-10-02","row_id":"row-2","source_total":20,"target_total":2,"dataset_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","source_total":15,"target_total":3,"dataset_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","source_total":30,"target_total":4,"dataset_group":"group-b"}],"maxItems":200,"minItems":1},"field":{"enum":["source_total","target_total"],"type":"string","default":"source_total"}}},"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_dqn_qX44kZaOKMOVj5cE7","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 supplied data reconciliation records to produce two local reports: adjacent row-to-row change analysis and a date-by-category pivot table, for up to 200 rows.","exampleAgentPrompt":"Run a reconciliation analysis on these records — I need both the adjacent row changes report and the date-by-category pivot for source_total: row-1 (group-a, 2026-10-01, source 10, target 1), row-2 (group-b, 2026-10-02, source 20, target 2), row-3 (group-a, 2026-10-03, source 15, target 3), row-4 (group-b, 2026-10-04, source 30, target 4).","exampleUseCases":[{"title":"Month-end finance reconciliation check","prompt":"I have 120 rows of month-end source and target totals across two ledger groups — can you run the adjacent row changes report and pivot them by date and group so I can spot where the numbers diverge?"},{"title":"ETL pipeline data drift detection","prompt":"After our ETL run I've got source_total and target_total for each batch row across dataset groups A and B from last week — give me the adjacent row change analysis and a date-by-category pivot on source_total so I can see where drift crept in."},{"title":"Weekly inventory source-vs-target audit","prompt":"Here are 80 rows of weekly inventory reconciliation records with dates, source totals, and target totals across three warehouse groups — produce both the adjacent row changes and the date-by-category pivot report for target_total."}],"resultDescription":"Returns two independent analytical reports computed locally from the supplied rows: (1) an adjacent row changes report showing sequential differences between consecutive rows for the selected field, and (2) a date-by-category pivot table summarizing values by date and dataset_group — all without any external lookup or live data.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Missing required fields (row_id, date, dataset_group, source_total, target_total) cause validation errors","Invalid date format (not YYYY-MM-DD) causes schema rejection","Numeric values outside ±1,000,000,000,000 are rejected","Empty rows array returns an error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 reconciliation records with source and target totals and need both a sequential row-change analysis and a date-grouped category pivot in one cheap call ($0.01 USDC). Ideal for lightweight, self-contained reconciliation audits that don't require live data lookups, external enrichment, or prediction — just fast local computation on supplied data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T00:54:09.270Z","isFirstParty":false,"canonicalSlug":"data-reconciliation-adjacent-row-changes-date-by-category-pivot-136e4023"}