{"uid":"cap_CLFQfEJ32SGzxS94uaKeI","slug":"data-reconciliation-category-frequencies-base-100-series-b804f3b7","name":"Data Reconciliation — Category Frequencies + Base-100 Series","description":"Data reconciliation — Category frequencies + Base-100 series: Category frequencies + Base-100 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-11-105?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"},"base_index":{"type":"integer","default":0,"maximum":199,"minimum":0}}},"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_5WTkQ4xU1yVY1hQNs6mFZ","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 category frequency distributions and a base-100 indexed series for up to 200 data reconciliation rows comparing source_total vs target_total values.","exampleAgentPrompt":"I have 4 reconciliation rows comparing source and target totals across groups A and B — can you compute the category frequencies and a base-100 series indexed from row 0 using the source_total field?","exampleUseCases":[{"title":"ETL pipeline reconciliation audit","prompt":"I've got 50 reconciliation records from my ETL pipeline with source_total and target_total for each row across groups 'prod' and 'staging' — run a category frequency count and a base-100 index on the source_total starting from row 0."},{"title":"Financial close discrepancy analysis","prompt":"Here are 120 rows of month-end source and target totals grouped by business unit and date — give me a category frequency breakdown and index the target_total values to a base of 100 starting at row 0 so I can see relative drift."},{"title":"Data migration validation summary","prompt":"I'm validating a data migration and have 80 rows with source_total and target_total across three dataset groups — can you run the category frequencies and base-100 series on the source_total field, starting the index at position 0?"}],"resultDescription":"Returns two independent analytical reports: (1) category frequency counts showing how often each dataset_group appears in the supplied rows, and (2) a base-100 indexed series for the selected field (source_total or target_total) normalized relative to the specified base_index row — all computed locally 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) causes validation error","Invalid date format (not YYYY-MM-DD) fails schema validation","base_index out of range (>=number of rows) causes indexing error","null values in the selected field may affect base-100 computation","row_id or dataset_group exceeds 80 character limit fails validation"],"whenToPreferThis":"Choose this endpoint when you need two complementary offline analytical views — category frequency counts and a base-100 normalized series — computed over a batch of up to 200 reconciliation records without any external data access. It is particularly well-suited for ETL validation, financial close reconciliation, or data migration audits where you want to understand group distributions and relative value drift from a baseline row in a single $0.01 call.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:47:00.012Z","isFirstParty":false,"canonicalSlug":"data-reconciliation-category-frequencies-base-100-series-b804f3b7"}