{"uid":"cap_R7Ni1PQ1g0sqIsRHziQsl","slug":"data-reconciliation-numeric-distribution-daily-sum-series-28ec5d2a","name":"Data Reconciliation — Numeric Distribution + Daily Sum Series","description":"Data reconciliation — Numeric distribution + Daily sum series: Numeric distribution + 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-11-075?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_JQHhfwSVklDu3QnqO-IaU","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 distribution and daily sum series) for supplied data reconciliation records comparing source_total vs target_total, for up to 200 rows.","exampleAgentPrompt":"Run both a numeric distribution and a daily sum series report on my reconciliation data — I have 4 rows for group-a and group-b from 2026-10-01 to 2026-10-04, with source_total values of 10, 20, 15, 30 and target_total values of 1, 2, 3, 4 — analyze the source_total field.","exampleUseCases":[{"title":"ETL pipeline audit by day","prompt":"I have 150 rows of ETL reconciliation data with dates from 2025-01-01 to 2025-05-31, each with a source_total and target_total — can you give me a daily sum series and numeric distribution for the source_total field so I can see where the pipeline is drifting?"},{"title":"Financial close discrepancy analysis","prompt":"We're doing month-end close and I need to check our source vs target totals across two dataset groups — run the numeric distribution and daily sum series on my 80 reconciliation records for the target_total field so I can spot any outliers."},{"title":"Data quality check across groups","prompt":"I've got reconciliation records split across group-a and group-b for the past quarter — can you produce both the numeric distribution and the daily sum series reports on the source_total so I can see how the values are spread and how they stack up day by day?"}],"resultDescription":"Returns two independent analytical reports: (1) a numeric distribution report showing how the selected field (source_total or target_total) is distributed across the supplied rows, and (2) a daily sum series report aggregating the selected field by date — both computed locally against the up-to-200-row input dataset with no external lookups.","failureModes":["Input array exceeds 200 rows — request will be rejected","Missing required fields (row_id, dataset_group, date, source_total, target_total) on any row causes validation failure","Date strings not matching YYYY-MM-DD pattern will fail schema validation","source_total or target_total values outside ±1,000,000,000,000 are rejected","Empty rows array (minItems: 1 not met) causes error","Invalid field enum value (must be 'source_total' or 'target_total') causes rejection"],"whenToPreferThis":"Choose this endpoint when you have up to 200 data reconciliation records with source and target totals and need both a numeric distribution and a daily sum series in a single low-cost call ($0.01 USDC). Ideal for ETL audits, financial close checks, and data quality validation where you supply the data and need fast local analytics without external lookups or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:46:09.356Z","isFirstParty":false,"canonicalSlug":"data-reconciliation-numeric-distribution-daily-sum-series-28ec5d2a"}