{"uid":"cap_PdVQ_N1pZN_lJtYYtk1vJ","slug":"data-reconciliation-numeric-row-ordering-daily-sum-series-e18a5fd4","name":"Data Reconciliation — Numeric Row Ordering + Daily Sum Series","description":"Data reconciliation — Numeric row ordering + Daily sum series: Numeric row ordering + Daily sum series 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-11-114?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_vL503ew0yQyoMafI2-zCJ","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 analytical reports (numeric row ordering and daily sum series) for up to 200 data reconciliation records comparing source and target totals.","exampleAgentPrompt":"Can you run a numeric row ordering and daily sum series analysis on my reconciliation data? I have 4 rows across group-a and group-b from 2026-10-01 to 2026-10-04 with source totals of 10, 20, 15, and 30 — analyze the source_total field.","exampleUseCases":[{"title":"ETL pipeline reconciliation audit","prompt":"I have daily ETL run records for October with source and target totals per dataset group. Can you order them numerically and show me the daily sum series for source_total so I can spot where the biggest discrepancies are?"},{"title":"Finance data completeness check","prompt":"I've got 50 rows of financial reconciliation records with source and target totals, each tagged with a date and a group name. Can you sort them by magnitude and give me a daily aggregation report for target_total?"},{"title":"Data warehouse migration validation","prompt":"We're migrating data and I need to compare source vs target row counts across dates. Can you take my 120 reconciliation records and produce a numeric ordering plus a daily sum series on source_total to help me validate the migration?"}],"resultDescription":"Returns two independent analytical reports: (1) a numeric row ordering that ranks the supplied rows by the chosen field (source_total or target_total), and (2) a daily sum series that aggregates the chosen field by date — both computed locally from the supplied data with no external lookups.","failureModes":["More than 200 rows submitted — request rejected due to maxItems constraint","Missing required fields (row_id, dataset_group, date, source_total, target_total) — validation error","Date not in YYYY-MM-DD format — pattern validation failure","Numeric values outside ±1,000,000,000,000 range — schema rejection","Empty rows array — minItems violation"],"whenToPreferThis":"Choose this endpoint when you need two lightweight analytical views of reconciliation data — numeric ordering and daily time-series aggregation — delivered together for a single low cost, without needing external data lookups, ML predictions, or deduplication logic. It is ideal for ETL validation, finance reconciliation spot-checks, and data migration audits on datasets up to 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:45:48.228Z","isFirstParty":false,"canonicalSlug":"data-reconciliation-numeric-row-ordering-daily-sum-series-e18a5fd4"}