{"uid":"cap_IlZeFcOb6ZNvia4tV84Ya","slug":"data-ingestion-batches-category-frequencies-adjacent-row-changes-2b32d444","name":"Data Ingestion Batches — Category Frequencies + Adjacent Row Changes","description":"Data ingestion batches — Category frequencies + Adjacent row changes: Category frequencies + Adjacent row changes 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-01-104?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},"field":{"enum":["received_rows","accepted_rows"],"type":"string","default":"received_rows"}}},"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_TMQ3Uv6Z_MlDhIhYdasRR","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: category frequency distribution and adjacent row change analysis for received_rows or accepted_rows.","exampleAgentPrompt":"Can you analyze these data ingestion batch records and give me both a category frequency breakdown by dataset_group and an adjacent row change report for received_rows? I have 4 rows: row-1 on 2026-10-01 with group-a, received 10, accepted 1; row-2 on 2026-10-02 with group-b, received 20, accepted 2; row-3 on 2026-10-03 with group-a, received 15, accepted 3; row-4 on 2026-10-04 with group-b, received 30, accepted 4.","exampleUseCases":[{"title":"Dataset group distribution audit","prompt":"I have 50 ingestion batch records across several dataset groups and I want to know how frequently each group appears and how the received_rows change from one record to the next — can you run both reports on this data?"},{"title":"Accepted rows trend monitoring","prompt":"Can you analyze my ingestion log for the last week and show me the category frequencies per dataset_group plus the adjacent row changes in accepted_rows so I can spot any sudden drops?"},{"title":"ETL pipeline quality check","prompt":"Here are 120 rows from our ETL ingestion batches — please compute the category frequency distribution by dataset_group and the row-to-row delta for received_rows so I can check if any groups are processing inconsistently."}],"resultDescription":"Returns two analytical reports: (1) a category frequency table showing how often each dataset_group value appears across the supplied rows, and (2) an adjacent row change analysis showing the delta between consecutive rows for the selected numeric field (received_rows or accepted_rows). Both reports are computed locally from the supplied data with no external lookups.","failureModes":["Fewer than 1 row supplied — rejected by minItems constraint","More than 200 rows supplied — rejected by maxItems constraint","Missing required fields (row_id, dataset_group, date, received_rows, accepted_rows) — validation error","Date field not matching YYYY-MM-DD pattern — schema validation failure","Numeric values outside ±1,000,000,000,000 range — schema validation failure","Invalid field enum value (must be received_rows or accepted_rows) — rejection"],"whenToPreferThis":"Choose this endpoint when you need both a categorical frequency breakdown and sequential row-change analysis on data ingestion batch records in a single $0.01 call. It is ideal for ETL monitoring, ingestion pipeline audits, and dataset group distribution checks on up to 200 rows without requiring any external data sources or live system access.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:58:24.803Z","isFirstParty":false,"canonicalSlug":"data-ingestion-batches-category-frequencies-adjacent-row-changes-2b32d444"}