{"uid":"cap_82zjMOvclnJ-T6w6rufLI","slug":"data-reconciliation-exact-row-deduplication-category-frequencies-049fbc46","name":"Data Reconciliation — Exact Row Deduplication + Category Frequencies","description":"Data reconciliation — Exact row deduplication + Category frequencies: Exact row deduplication + 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-11-041?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}}},"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_BO5cW-0TQYNfMh_JMsS6b","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":"Deduplicates exact duplicate rows and computes category-level frequency distributions for data reconciliation records containing source and target totals.","exampleAgentPrompt":"Can you deduplicate these reconciliation rows and give me category frequency counts? I have 4 rows across group-a and group-b, with source totals like 10, 20, 15, 30 and target totals 1, 2, 3, 4 for dates 2026-10-01 through 2026-10-04.","exampleUseCases":[{"title":"Finance team reconciliation deduplication","prompt":"I have a list of 50 reconciliation records from our finance system comparing source and target account totals by date and business unit — can you remove any exact duplicate rows and tell me how many records fall into each business unit category?"},{"title":"ETL pipeline data quality check","prompt":"After our ETL run we ended up with what looks like duplicate rows in our reconciliation export. Can you deduplicate them exactly and give me a frequency breakdown by dataset group so I can see which groups have the most records?"},{"title":"Monthly close source-target comparison cleanup","prompt":"Here are our month-end reconciliation rows with source_total and target_total fields grouped by region — please deduplicate any identical rows and count how many rows exist per region group so I can validate the data before sign-off."}],"resultDescription":"Returns two reports: (1) an exact row deduplication report identifying and removing rows where all fields are identical, and (2) a category frequency report showing the count of records per dataset_group value — both computed locally on the supplied data without any external lookups.","failureModes":["Exceeds 200-row limit — request will be rejected or truncated","Missing required fields (row_id, dataset_group, date, source_total, target_total) causes validation error","Invalid date format (not YYYY-MM-DD) triggers schema rejection","source_total or target_total values outside ±1,000,000,000,000 are rejected","Empty rows array returns an error","Malformed JSON body results in a 400-level error"],"whenToPreferThis":"Choose this endpoint when you need both exact deduplication and category frequency analysis on up to 200 reconciliation rows in a single paid call. It is purpose-built for source-vs-target reconciliation datasets with grouped, dated numeric records. Prefer this over general analytics tools when you need a lightweight, self-contained, no-external-lookup solution for data quality checks on reconciliation exports at minimal cost ($0.01 USDC for both reports).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:46:32.084Z","isFirstParty":false,"canonicalSlug":"data-reconciliation-exact-row-deduplication-category-frequencies-049fbc46"}