{"uid":"cap_FBAHLi-MOQFwlD1gS7DDd","slug":"data-ingestion-batches-record-quality-audit-category-frequencies-1abf26de","name":"Data Ingestion Batches — Record Quality Audit + Category Frequencies","description":"Data ingestion batches — Record quality audit + Category frequencies: Record quality audit + 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-01-006?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_1File3KnhdthmE2m0Tayv","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":"Runs two analytical reports on data ingestion batch records: a record quality audit (accepted vs. received rows) and a category frequency breakdown by dataset group.","exampleAgentPrompt":"Can you run a record quality audit and category frequency report on my ingestion batch data? I have 4 rows: group-a got 10 received and 1 accepted on 2026-10-01, group-b got 20 received and 2 accepted on 2026-10-02, group-a got 15 received and 3 accepted on 2026-10-03, and group-b got 30 received and 4 accepted on 2026-10-04.","exampleUseCases":[{"title":"ETL pipeline acceptance rate audit","prompt":"I want to audit my ETL pipeline — here are yesterday's ingestion batch rows with received_rows and accepted_rows for each dataset group. Can you run a record quality audit and tell me which batches have low acceptance rates?"},{"title":"Dataset group frequency breakdown","prompt":"I have ingestion batch records across three dataset groups from the past week. Can you give me a category frequency report showing how many rows belong to each group, and flag any quality issues in the received vs accepted counts?"},{"title":"Daily data completeness check","prompt":"Run a quality audit and category frequency analysis on today's data ingestion records — I'll give you the row IDs, dataset groups, dates, received_rows, and accepted_rows. I want to see both reports to check data completeness before we move to the next pipeline stage."}],"resultDescription":"Returns two independent analytical reports: (1) a record quality audit evaluating accepted_rows vs received_rows per row, highlighting data loss or anomalies, and (2) a category frequency report showing the distribution and counts of records by dataset_group — all computed locally on the supplied data, no external lookups.","failureModes":["Fewer than 1 row or more than 200 rows submitted — validation error","Missing required fields (row_id, dataset_group, date, received_rows, accepted_rows) — schema rejection","Date strings not matching YYYY-MM-DD format — pattern validation failure","Numeric values outside allowed range (±1 trillion) — schema rejection","Malformed JSON body — parse error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 data ingestion batch records and need both a record quality audit (accepted vs. received row analysis) and a category frequency breakdown in a single call for $0.01 USDC. Ideal for ETL monitoring, pipeline QA, and data completeness checks where no external data or live lookups are needed — just local computation on your supplied rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:58:27.531Z","isFirstParty":false,"canonicalSlug":"data-ingestion-batches-record-quality-audit-category-frequencies-1abf26de"}