{"uid":"cap_dVbbpMt9ubbA5tz0o6ETA","slug":"transformation-throughput-analytics-quality-audit-deduplication-base-947020b3","name":"Transformation Throughput Analytics — Quality Audit + Deduplication + Base-100 Series","description":"Transformation throughput — Record quality audit + Exact row deduplication + Base-100 series: Record quality audit + Exact row deduplication + Base-100 series for supplied transformation throughput records (processed_rows, duration_seconds). 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-13-218?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","processed_rows","duration_seconds"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"dataset_group":{"type":"string","default":"","maxLength":80},"processed_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"duration_seconds":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","dataset_group":"group-a","processed_rows":10,"duration_seconds":1},{"date":"2026-10-02","row_id":"row-2","dataset_group":"group-b","processed_rows":20,"duration_seconds":2},{"date":"2026-10-03","row_id":"row-3","dataset_group":"group-a","processed_rows":15,"duration_seconds":3},{"date":"2026-10-04","row_id":"row-4","dataset_group":"group-b","processed_rows":30,"duration_seconds":4}],"maxItems":200,"minItems":1},"field":{"enum":["processed_rows","duration_seconds"],"type":"string","default":"processed_rows"},"base_index":{"type":"integer","default":0,"maximum":199,"minimum":0}}},"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_rLXrAKP8WXxzxg4mnN7Ow","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 local analytical reports on transformation throughput records: record quality audit, exact row deduplication, and a base-100 index series for processed_rows or duration_seconds.","exampleAgentPrompt":"Can you run a record quality audit, exact deduplication check, and base-100 index series on my transformation throughput data — here are up to 200 rows with row_id, dataset_group, date, processed_rows, and duration_seconds — index on processed_rows starting from row 0?","exampleUseCases":[{"title":"ETL pipeline data quality check","prompt":"I have a batch of transformation throughput logs from last quarter — each row has a row_id, dataset_group, date, processed_rows, and duration_seconds. Can you audit them for record quality issues, flag any exact duplicate rows, and give me a base-100 index on processed_rows starting from the first row?"},{"title":"Normalize pipeline throughput for trend comparison","prompt":"I want to compare my pipeline throughput over time relative to a baseline. Here are 150 transformation records with processed_rows and duration_seconds — please deduplicate them, run a quality audit, and generate a base-100 index series on duration_seconds using row index 0 as the base."},{"title":"Pre-reporting deduplication and validation","prompt":"Before I put together my monthly ETL performance report, can you clean up these transformation throughput records — run an exact row deduplication and record quality audit on all 80 rows, and also produce a base-100 index series for processed_rows so I can see relative throughput trends?"}],"resultDescription":"Returns three independent analytical reports: (1) a record quality audit flagging nulls, out-of-range values, and malformed fields; (2) an exact row deduplication report identifying duplicate records; (3) a base-100 index series for the selected numeric field (processed_rows or duration_seconds) relative to the specified base row. All computed locally with no external lookups.","failureModes":["Exceeding 200 rows causes rejection — keep input to maxItems limit","Missing required fields (row_id, date, processed_rows, duration_seconds) causes validation errors","Invalid date format (must match YYYY-MM-DD) causes schema rejection","base_index out of range (must be 0–199 and within actual row count) causes error","Null values in processed_rows or duration_seconds are accepted but flagged in the quality audit","All rows identical triggers deduplication report showing all as duplicates"],"whenToPreferThis":"Choose this endpoint when you need three bundled analytical operations — quality audit, deduplication, and base-100 normalization — on transformation throughput records (processed_rows, duration_seconds) in a single low-cost call. It is ideal for ETL pipeline monitoring, pre-reporting data cleaning, and trend normalization without needing external data sources or live lookups. Best when your dataset is up to 200 rows and you want all three reports for $0.01 USDC rather than calling separate endpoints.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:37:53.265Z","isFirstParty":false,"canonicalSlug":"transformation-throughput-analytics-quality-audit-deduplication-base-947020b3"}