{"uid":"cap_arM2uFo2hij7sj4KppNfB","slug":"data-ingestion-batch-analytics-quality-audit-deduplication-histogram-f54bc685","name":"Data Ingestion Batch Analytics: Quality Audit + Deduplication + Histogram","description":"Data ingestion batches — Record quality audit + Exact row deduplication + Equal-width histogram: Record quality audit + Exact row deduplication + Equal-width histogram 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-01-219?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"bins":{"type":"integer","default":5,"maximum":30,"minimum":1},"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_Il7qqsdClcjQ4beLcnKbr","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 analytical reports on data ingestion batch records: a record quality audit, exact row deduplication check, and equal-width histogram for received_rows or accepted_rows fields.","exampleAgentPrompt":"Can you run a quality audit, exact duplicate check, and a 10-bin histogram on my ingestion batch data for the received_rows field? Here are 5 records: row-1 on 2024-01-01 for group-a with 100 received and 95 accepted, row-2 on 2024-01-02 for group-b with 200 received and 180 accepted, row-3 on 2024-01-03 for group-a with 150 received and 140 accepted, row-4 on 2024-01-04 for group-b with 300 received and 290 accepted, row-5 on 2024-01-01 for group-a with 100 received and 95 accepted.","exampleUseCases":[{"title":"Pipeline data integrity check","prompt":"I have 50 daily ingestion batch records for our data pipeline — can you audit them for quality issues and flag any exact duplicate rows? The records have row IDs, dataset groups, dates, and received_rows and accepted_rows counts. Use received_rows as the analysis field."},{"title":"Distribution analysis for ingestion volumes","prompt":"Can you generate a 8-bin histogram of accepted_rows across my batch ingestion records so I can see how row acceptance is distributed? I have about 80 records with dataset_group, date, row_id, and both received and accepted row counts."},{"title":"QA report before data warehouse load","prompt":"Before we load our ingestion batches into the warehouse, run all three reports — quality audit, deduplication check, and a 5-bin histogram on received_rows — on these 120 batch records so we can catch any issues first."}],"resultDescription":"Returns three independent analytical reports: (1) a record quality audit flagging nulls, invalid values, and completeness issues per row; (2) an exact row deduplication report identifying duplicate records; and (3) an equal-width histogram with the specified number of bins for the chosen numeric field (received_rows or accepted_rows). All computed locally with no external lookups.","failureModes":["Exceeding 200 rows returns an error — must batch into chunks of 200 or fewer","Invalid date format (not YYYY-MM-DD) causes validation failure","Missing required fields (row_id, dataset_group, date, received_rows, accepted_rows) causes schema rejection","Bins value outside 1-30 range returns validation error","Numeric values outside ±1,000,000,000,000 range cause field rejection","Payment not processed returns 402 error before analysis runs"],"whenToPreferThis":"Choose this endpoint when you need three specific analytical passes — quality audit, exact deduplication, and histogram — on data ingestion batch records in a single call at minimal cost. Ideal for data engineers validating ETL pipeline output, checking batch record integrity before downstream loads, or profiling the distribution of row volumes. Not suitable for machine-learning predictions, live data lookups, or datasets exceeding 200 rows per call.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T00:52:35.748Z","isFirstParty":false,"canonicalSlug":"data-ingestion-batch-analytics-quality-audit-deduplication-histogram-f54bc685"}