{"uid":"cap_hVS8OC1WUyqRyMbYHkOoB","slug":"data-reconciliation-numeric-distribution-category-frequencies-analyzer-62ad799c","name":"Data Reconciliation — Numeric Distribution & Category Frequencies Analyzer","description":"Data reconciliation — Numeric distribution + Category frequencies: Numeric distribution + Category frequencies 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-11-072?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_PgZce7SLP6R8USav16PkL","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":"Computes numeric distribution statistics and category frequency counts for up to 200 data reconciliation rows comparing source_total vs target_total values.","exampleAgentPrompt":"Analyze the distribution and category frequencies for my reconciliation data — here are 4 rows: row-1 on 2026-10-01 in group-a with source_total 10 and target_total 1, row-2 on 2026-10-02 in group-b with source_total 20 and target_total 2, row-3 on 2026-10-03 in group-a with source_total 15 and target_total 3, row-4 on 2026-10-04 in group-b with source_total 30 and target_total 4 — run both reports on the source_total field.","exampleUseCases":[{"title":"Monthly reconciliation data profiling","prompt":"I have 150 rows of end-of-month reconciliation records with source and target totals for different business groups — can you give me both the numeric distribution and the category frequency breakdown for the source_total field across all those rows?"},{"title":"Spotting dataset group imbalances","prompt":"Run a category frequency analysis on my reconciliation dataset so I can see which dataset groups appear most often — I have about 80 rows covering groups A, B, and C with dates ranging from 2026-01-01 to 2026-03-31."},{"title":"Comparing target total spread before audit","prompt":"Before our quarterly audit, I need to understand how the target_total values are distributed across our 200 reconciliation rows — can you produce the numeric distribution and group frequency reports for the target_total field?"}],"resultDescription":"Returns two analytical reports: (1) a numeric distribution report showing statistical spread (e.g. min, max, mean, percentiles, histogram buckets) for the selected field (source_total or target_total), and (2) a category frequency report showing how often each dataset_group value appears across the supplied rows. Both reports are computed locally from the submitted data with no external lookups.","failureModes":["Fewer than 1 row submitted — validation error","More than 200 rows submitted — rejected due to row limit","Missing required fields (row_id, dataset_group, date, source_total, target_total) — schema validation failure","Date field not in YYYY-MM-DD format — pattern validation error","Numeric values outside ±1,000,000,000,000 range — validation error","Invalid field enum value (not 'source_total' or 'target_total') — error"],"whenToPreferThis":"Choose this endpoint when you need lightweight, local statistical profiling of reconciliation data comparing source and target totals — specifically numeric distribution and category frequency — without requiring external data lookup, prediction, or professional assessment. Ideal for small-to-medium datasets (up to 200 rows) where you want two analytical reports (distribution + frequency) in a single low-cost call ($0.01 USDC).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:46:48.841Z","isFirstParty":false,"canonicalSlug":"data-reconciliation-numeric-distribution-category-frequencies-analyzer-62ad799c"}