{"uid":"cap_pWIKkNYwV0I5Alp03xM5n","slug":"transformation-throughput-analytics-record-quality-audit-exact-row-3e35601a","name":"Transformation Throughput Analytics: Record Quality Audit + Exact Row Deduplication + Category Frequencies","description":"Transformation throughput — Record quality audit + Exact row deduplication + Category frequencies: Record quality audit + Exact row deduplication + Category frequencies 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-13-212?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}}},"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_OWThAC-hj3UZsdqfajruA","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 — record quality audit, exact row deduplication, and category frequency analysis — on up to 200 transformation throughput records containing processed_rows and duration_seconds fields.","exampleAgentPrompt":"Can you audit the quality of my transformation throughput records, find any exact duplicate rows, and count how often each dataset_group appears? I have about 50 rows with fields like row_id, dataset_group, date, processed_rows, and duration_seconds — I'll paste the data now.","exampleUseCases":[{"title":"ETL pipeline data quality check","prompt":"I have 120 rows of transformation throughput logs with columns row_id, dataset_group, date, processed_rows, and duration_seconds — can you run a record quality audit on them to flag any nulls or bad values, deduplicate exact duplicate rows, and show me how frequently each dataset_group appears?"},{"title":"Dataset group frequency breakdown","prompt":"I want to understand how my pipeline workload is distributed across dataset groups. Here are 80 throughput records with row_id, dataset_group, date, processed_rows, and duration_seconds — give me a category frequency report plus flag any duplicate rows and quality issues."},{"title":"Deduplicating transformation run logs","prompt":"We suspect our transformation run logs have duplicate entries that are inflating our metrics. Can you take these 60 rows of throughput data (each with row_id, dataset_group, date, processed_rows, duration_seconds) and identify exact duplicate rows, report on record quality, and give us the frequency counts per category?"}],"resultDescription":"Returns three independent reports: (1) a record quality audit highlighting missing, null, or out-of-range values across the submitted rows; (2) an exact row deduplication report identifying fully duplicate records; and (3) a category frequency summary showing how often each dataset_group value appears across the submitted rows.","failureModes":["Submitting more than 200 rows returns a validation error","Missing required fields (row_id, dataset_group, date, processed_rows, duration_seconds) causes rejection","Invalid date format (not YYYY-MM-DD) triggers a schema validation error","Submitting an empty rows array (minItems: 1) returns an error","Payment failure via x402 protocol prevents report generation"],"whenToPreferThis":"Choose this endpoint when you need three combined analytical reports (quality audit, deduplication, category frequencies) on transformation throughput data in a single low-cost call. It is ideal for small-to-medium datasets (up to 200 rows) where you want offline, local analysis with no external lookups or predictions — particularly suited to ETL pipeline monitoring and data engineering workflows where processed_rows and duration_seconds are your core metrics.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-28T19:42:26.898Z","isFirstParty":false,"canonicalSlug":"transformation-throughput-analytics-record-quality-audit-exact-row-3e35601a"}