{"uid":"cap_VXUa3L6WC4d-g28KOXQSD","slug":"transformation-throughput-analytics-quality-audit-deduplication-c8c45c01","name":"Transformation Throughput Analytics: Quality Audit + Deduplication + Numeric Ordering","description":"Transformation throughput — Record quality audit + Exact row deduplication + Numeric row ordering: Record quality audit + Exact row deduplication + Numeric row ordering 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-13-213?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"}}},"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_ZmeZLthm5N5bfGFzDF8ST","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 (processed_rows, duration_seconds): record quality audit, exact row deduplication, and numeric row ordering — up to 200 rows per call.","exampleAgentPrompt":"Can you audit the quality of my transformation throughput records, remove exact duplicates, and sort them by processed_rows? Here are my rows: row-1 on 2026-10-01 for group-a with 10 processed_rows and 1 duration_seconds, row-2 on 2026-10-02 for group-b with 20 processed_rows and 2 duration_seconds — use processed_rows as the ordering field.","exampleUseCases":[{"title":"ETL pipeline data quality check","prompt":"I have a batch of ETL run records with processed_rows and duration_seconds — can you audit them for quality issues, flag any exact duplicates, and sort them numerically by processed_rows? I'll give you up to 50 rows."},{"title":"Deduplicating throughput logs before reporting","prompt":"Before I generate my weekly throughput report, can you scan these 80 transformation run records for exact duplicate rows and give me a clean deduplicated set, along with a quality audit and numeric ordering by duration_seconds?"},{"title":"Ranking pipeline jobs by processing speed","prompt":"I want to rank my 30 pipeline dataset groups by their duration_seconds to see which jobs are slowest — can you also audit them for missing values and check for any duplicate row IDs while you're at it?"}],"resultDescription":"Returns three independent analytical reports on the supplied rows: (1) a record quality audit flagging missing, null, or out-of-range values in processed_rows and duration_seconds; (2) an exact row deduplication report identifying and removing duplicate records; (3) a numeric ordering of the rows ranked by the specified field (processed_rows or duration_seconds). All analysis is performed locally with no external lookups.","failureModes":["Fewer than 1 row submitted — minimum row count not met","More than 200 rows submitted — exceeds maximum row limit","Missing required fields (row_id, date, processed_rows, duration_seconds) in one or more rows","Invalid date format (must match YYYY-MM-DD pattern)","Invalid field enum value — must be 'processed_rows' or 'duration_seconds'","Numeric values outside the allowed range (-1e12 to 1e12) rejected","Malformed JSON body returns validation error"],"whenToPreferThis":"Choose this endpoint when you need three bundled local analytical operations on transformation throughput data (quality audit + deduplication + numeric ordering) in a single low-cost call. It is ideal for data engineering pipelines where you want to validate, clean, and rank processed_rows or duration_seconds records without hitting external APIs or incurring live lookup costs. Prefer it over general-purpose analytics when your data fits within 200 rows and involves the specific throughput schema (row_id, dataset_group, date, processed_rows, duration_seconds).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-28T19:41:39.548Z","isFirstParty":false,"canonicalSlug":"transformation-throughput-analytics-quality-audit-deduplication-c8c45c01"}