{"uid":"cap_edtThd4REFCgvhT7TNQOu","slug":"data-ingestion-batches-exact-row-deduplication-category-frequencies-78e84dce","name":"Data Ingestion Batches — Exact Row Deduplication + Category Frequencies","description":"Data ingestion batches — Exact row deduplication + Category frequencies: Exact row deduplication + Category frequencies for supplied data ingestion batches records (received_rows, accepted_rows). 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-01-041?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","received_rows","accepted_rows"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"accepted_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80},"received_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","accepted_rows":1,"dataset_group":"group-a","received_rows":10},{"date":"2026-10-02","row_id":"row-2","accepted_rows":2,"dataset_group":"group-b","received_rows":20},{"date":"2026-10-03","row_id":"row-3","accepted_rows":3,"dataset_group":"group-a","received_rows":15},{"date":"2026-10-04","row_id":"row-4","accepted_rows":4,"dataset_group":"group-b","received_rows":30}],"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_ATibnVhq2LTVIdSu69Cim","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":"Analyzes up to 200 data ingestion batch records to produce two reports: exact duplicate row detection and category frequency distribution across dataset groups.","exampleAgentPrompt":"I have a list of data ingestion batch records with row IDs, dataset groups, dates, and received/accepted row counts — can you run exact deduplication and category frequency analysis on them? Here are 4 records: row-1 on 2026-10-01 for group-a with 10 received and 1 accepted, row-2 on 2026-10-02 for group-b with 20 received and 2 accepted, row-3 on 2026-10-03 for group-a with 15 received and 3 accepted, row-4 on 2026-10-04 for group-b with 30 received and 4 accepted.","exampleUseCases":[{"title":"Detect duplicate ingestion batch records","prompt":"I have 50 rows from our nightly data ingestion logs with row IDs, dates, dataset groups, and received/accepted row counts — can you find any exact duplicate rows and also tell me how often each dataset group appears?"},{"title":"Audit pipeline category distribution","prompt":"We have ingestion batch data for the last month across groups like 'transactions', 'user-events', and 'clickstream' — run category frequency analysis on these 120 records so I can see which groups dominate our pipeline."},{"title":"QA check before warehouse load","prompt":"Before I load these 80 ingestion batch records into our data warehouse, can you check for exact row duplicates and give me a frequency breakdown by dataset_group? Each record has a row_id, date, dataset_group, received_rows, and accepted_rows."}],"resultDescription":"Returns two independent analytical reports for the submitted batch records: (1) an exact row deduplication report identifying which rows are identical duplicates across all fields, and (2) a category frequency report showing how often each dataset_group value appears across the submitted records. Both reports are computed locally from the supplied data with no external lookups.","failureModes":["Empty or missing rows array returns a validation error","More than 200 rows submitted exceeds the maxItems limit and is rejected","Invalid date format (not YYYY-MM-DD) fails schema pattern validation","Missing required fields (row_id, dataset_group, date, received_rows, accepted_rows) causes record rejection","Numeric values outside ±1,000,000,000,000 range are rejected","Payment of 0.01 USDC via x402 required; unpaid requests return 402"],"whenToPreferThis":"Choose this endpoint when you have up to 200 data ingestion batch records (with row_id, dataset_group, date, received_rows, accepted_rows fields) and need both exact duplicate detection and category frequency analysis in a single low-cost call. Ideal for pre-load QA checks, pipeline audits, and data quality reviews where no external data or ML predictions are needed — just local analytical computation on your supplied data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:58:27.530Z","isFirstParty":false,"canonicalSlug":"data-ingestion-batches-exact-row-deduplication-category-frequencies-78e84dce"}