{"uid":"cap_M2PReMD4bDWlsU92_r-rl","slug":"data-reconciliation-numeric-row-ordering-adjacent-row-changes-d61a59ea","name":"Data Reconciliation — Numeric Row Ordering + Adjacent Row Changes","description":"Data reconciliation — Numeric row ordering + Adjacent row changes: Numeric row ordering + Adjacent row changes 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-11-116?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_flz6r-pBlhGPim8oH8c1j","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 source/target reconciliation data to produce two reports: numeric row ordering and adjacent row change analysis, for up to 200 rows.","exampleAgentPrompt":"Can you run the numeric row ordering and adjacent row changes analysis on my reconciliation data? I have 4 rows: row-1 on 2026-10-01 with source_total 10 and target_total 1 in group-a, row-2 on 2026-10-02 with source_total 20 and target_total 2 in group-b, row-3 on 2026-10-03 with source_total 15 and target_total 3 in group-a, and row-4 on 2026-10-04 with source_total 30 and target_total 4 in group-b — analyze the source_total field.","exampleUseCases":[{"title":"Audit daily sales reconciliation discrepancies","prompt":"I have daily sales records for October with source and target totals across two groups — can you run the numeric row ordering and adjacent row change reports on them so I can see where the biggest sequential swings are in the source_total values?"},{"title":"Detect sequential shifts in payout data","prompt":"I'm reconciling mining payout data across about 150 rows with source and target totals by date — run the two-report analysis (row ordering plus adjacent changes) on the target_total field so I can spot any unusual jumps between consecutive rows."},{"title":"Compare ordered inventory counts across systems","prompt":"I've got inventory reconciliation records for two warehouse groups over 30 dates — please run the numeric ordering and adjacent row changes reports on the source_total field so I can see how the counts rank and where consecutive differences spike."}],"resultDescription":"Two analytical reports delivered locally: (1) a numeric row ordering report ranking the supplied rows by the selected field (source_total or target_total), and (2) an adjacent row changes report showing the delta between consecutive rows. No external lookups or predictions are made; all analysis is based solely on the supplied data.","failureModes":["Exceeds 200 rows — request rejected, must trim input","Missing required fields (row_id, dataset_group, date, source_total, target_total) — validation error","Date not in YYYY-MM-DD format — schema validation failure","Numeric values outside ±1,000,000,000,000 range — rejected","Empty rows array — rejected (minItems: 1)","Invalid field enum value (not source_total or target_total) — schema error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 reconciliation rows with source and target totals and need two specific local analyses — numeric ordering and adjacent row change detection — without requiring live data lookup, ML prediction, or external enrichment. Ideal for lightweight, low-cost ($0.01 USDC) batch reconciliation audits where you control the input data and need structured sequential analysis.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:46:20.686Z","isFirstParty":false,"canonicalSlug":"data-reconciliation-numeric-row-ordering-adjacent-row-changes-d61a59ea"}