{"uid":"cap_qh55c6hWlxGHyTE9KhPB0","slug":"data-reconciliation-analytics-category-frequencies-daily-sum-series-2db8fd14","name":"Data Reconciliation Analytics: Category Frequencies + Daily Sum Series","description":"Data reconciliation — Category frequencies + Daily sum series: Category frequencies + 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-11-102?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_aQXbkjAZor2d7h7xsNVru","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 two analytical reports — category frequency distribution and daily sum time series — for supplied data reconciliation records comparing source and target totals.","exampleAgentPrompt":"Run category frequency and daily sum series reports on these reconciliation rows — I have up to 50 records with date, row_id, dataset_group, source_total, and target_total fields, and I want to analyze the source_total field.","exampleUseCases":[{"title":"ETL pipeline reconciliation audit","prompt":"I've got 120 reconciliation records from our ETL run — each has a date, dataset group, source total, and target total. Can you compute the category frequencies by group and the daily sum series for source_total so I can spot where things don't line up?"},{"title":"Finance team daily variance summary","prompt":"Run both the category frequency breakdown and the daily sum series on these 80 finance reconciliation rows using the target_total field — I need to see how totals accumulate day by day and which groups are most frequent."},{"title":"Data quality monitoring across groups","prompt":"I have 200 rows of reconciliation data across several dataset groups with dates ranging across October. Can you give me the category frequency report and the daily sum series for source_total so I can monitor data quality trends?"}],"resultDescription":"Returns two independent analytical reports: (1) a category frequency distribution showing how often each dataset_group appears in the supplied records, and (2) a daily sum time series aggregating the selected field (source_total or target_total) by date across all rows. Both reports are computed locally on the supplied data with no external lookups.","failureModes":["Fewer than 1 row supplied — request rejected","More than 200 rows supplied — exceeds maximum limit","Missing required fields (row_id, dataset_group, date, source_total, target_total) on any row — validation error","Invalid date format (not YYYY-MM-DD) — schema validation failure","Numeric values outside ±1,000,000,000,000 range — validation error","Invalid field enum value (not source_total or target_total) — rejected"],"whenToPreferThis":"Choose this endpoint when you need two quick local analytical summaries — category frequency counts and a daily sum time series — on reconciliation data you already have in hand (up to 200 rows), without needing live lookups, predictions, or external data enrichment. It is cost-effective at $0.01 USDC for both reports in a single call. Prefer alternatives if you need more than 200 rows, require string normalization, deduplication, outlier detection, or other report types available in the sibling endpoints.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:46:38.838Z","isFirstParty":false,"canonicalSlug":"data-reconciliation-analytics-category-frequencies-daily-sum-series-2db8fd14"}