{"uid":"cap_GsB1nFXf36ssKoh5Bhx7A","slug":"data-reconciliation-adjacent-row-changes-equal-width-histogram-5b5344c1","name":"Data Reconciliation — Adjacent Row Changes & Equal-Width Histogram","description":"Data reconciliation — Adjacent row changes + Equal-width histogram: Adjacent row changes + Equal-width histogram 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-11-156?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"bins":{"type":"integer","default":5,"maximum":30,"minimum":1},"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__SZfEo2lexITS_iz--6eS","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":"Generates two local analytical reports for reconciliation data: adjacent row-to-row change analysis and an equal-width histogram, across up to 200 source/target total records.","exampleAgentPrompt":"Can you run an adjacent row changes report and a 10-bin equal-width histogram on my reconciliation data? Here are 5 rows with row IDs row-1 through row-5, all in dataset group 'sales-pipeline', dates 2024-01-01 through 2024-01-05, source_totals 100, 150, 120, 200, 180 and target_totals 98, 145, 125, 195, 182 — analyze the source_total field.","exampleUseCases":[{"title":"ETL pipeline daily reconciliation check","prompt":"I have 20 rows of daily ETL reconciliation records for January 2024, with source and target totals for dataset group 'orders-etl'. Can you run adjacent row changes plus a 5-bin histogram on the source_total field so I can see how values shift day to day and how they're distributed?"},{"title":"Financial close variance distribution","prompt":"Run a reconciliation analysis on these 50 month-end closing records across dataset groups 'ledger-A' and 'ledger-B' — I need both the row-by-row change report and a 10-bin equal-width histogram on target_total to spot where large variances cluster."},{"title":"Data quality audit for source vs target drift","prompt":"I'm auditing data drift in a 100-row snapshot from our warehouse pipeline, dataset group 'inventory-sync', dates ranging 2024-06-01 to 2024-09-08. Give me adjacent row changes and a 15-bin histogram on source_total to find sudden jumps and see the overall distribution."}],"resultDescription":"Returns two independent analytical reports: (1) an adjacent row changes report showing value differences between consecutive rows for the selected field (source_total or target_total), and (2) an equal-width histogram breaking the selected field's values into the specified number of bins with frequency counts — both computed locally on the supplied reconciliation records.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, dataset_group, date, source_total, target_total) causes rejection","Invalid date format (not YYYY-MM-DD) causes schema validation failure","Bin count outside 1–30 range is rejected","Null values in source_total or target_total may affect histogram bucketing","Single-row input produces empty adjacent changes report"],"whenToPreferThis":"Choose this endpoint when you need two complementary statistical views — sequential change detection and frequency distribution — on reconciliation data in a single API call. Ideal for ETL validation, financial close checks, or data pipeline audits where you want to spot both row-level drift and overall value spread without building your own analytics. Prefer this over general-purpose analytics tools when working with structured source/target reconciliation pairs at modest scale (up to 200 rows) and want a cost-efficient ($0.01) bundled computation.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:47:08.158Z","isFirstParty":false,"canonicalSlug":"data-reconciliation-adjacent-row-changes-equal-width-histogram-5b5344c1"}