{"uid":"cap_hu9fW0bI1hM7RPDCzA3l-","slug":"data-ingestion-batches-quality-audit-deduplication-numeric-ordering-c4fc3e3a","name":"Data Ingestion Batches — Quality Audit + Deduplication + Numeric Ordering","description":"Data ingestion batches — Record quality audit + Exact row deduplication + Numeric row ordering: Record quality audit + Exact row deduplication + Numeric row ordering for supplied data ingestion batches records (received_rows, accepted_rows). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-analytics-01-213?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_Z5BurHiCeuITcXrTz-jVo","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 three independent analytical reports (record quality audit, exact row deduplication, and numeric row ordering) on a batch of data ingestion records containing received_rows and accepted_rows fields.","exampleAgentPrompt":"Run a quality audit, exact duplicate check, and numeric ordering on these ingestion batch records — rows have row_id, dataset_group, date, received_rows, and accepted_rows — and order by received_rows. Here are up to 200 rows from our pipeline.","exampleUseCases":[{"title":"ETL pipeline data quality check","prompt":"I have a batch of up to 150 ingestion records from our ETL pipeline with fields like row_id, dataset_group, date, received_rows, and accepted_rows. Can you run a quality audit, find any exact duplicate rows, and sort them by accepted_rows so I can see which groups are accepting the most data?"},{"title":"Detecting duplicate ingestion log entries","prompt":"We suspect our ingestion logs have duplicate entries — can you take these 80 rows (each has a row_id, dataset_group, date, received_rows, and accepted_rows) and run an exact deduplication report along with a quality audit and numeric ordering on received_rows?"},{"title":"Ranking dataset groups by row acceptance","prompt":"I want to rank our ingestion batch records by accepted_rows to see which dataset groups are performing best. Here are about 60 rows with row_id, dataset_group, date, received_rows, and accepted_rows — also run a quality audit and dedup check while you're at it."}],"resultDescription":"Three independent analytical reports on the submitted batch: (1) a record quality audit flagging missing, null, or out-of-range values in received_rows and accepted_rows; (2) an exact row deduplication report identifying identical rows; (3) a numeric ordering report ranking rows by the selected field (received_rows or accepted_rows). All reports are computed locally from the supplied data with no external lookups.","failureModes":["Batch exceeds 200 rows — request is rejected or truncated","Missing required fields (row_id, dataset_group, date, received_rows, accepted_rows) cause validation errors","Date field does not match YYYY-MM-DD pattern — row rejected","Numeric values outside ±1,000,000,000,000 range cause schema validation failure","Empty rows array (minItems:1 not met) returns an error","Invalid field enum value (not received_rows or accepted_rows) causes rejection"],"whenToPreferThis":"Choose this endpoint when you need a lightweight, low-cost ($0.01 USDC) batch analysis of data ingestion records that combines three reports in a single call — quality auditing, deduplication, and numeric ordering — without needing external data sources, predictions, or live lookups. Ideal for ETL monitoring, pipeline QA, and ingestion log review where all data is already available locally and you want consolidated analytical output in one request.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T00:47:20.454Z","isFirstParty":false,"canonicalSlug":"data-ingestion-batches-quality-audit-deduplication-numeric-ordering-c4fc3e3a"}