{"uid":"cap_P3HSEwNVJmy0MwKESQWaw","slug":"transformation-throughput-analytics-string-normalisation-exact-row-4c36937c","name":"Transformation Throughput Analytics — String Normalisation + Exact Row Deduplication","description":"Transformation throughput — String normalisation + Exact row deduplication: String normalisation + Exact row deduplication for supplied transformation throughput records (processed_rows, duration_seconds). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-analytics-13-020?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_UbvA4wHwRnB_iterqr8Fu","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":"Performs string normalisation and exact row deduplication analysis on up to 200 transformation throughput records (processed_rows, duration_seconds), returning 2 analytical reports using local engines.","exampleAgentPrompt":"Can you run string normalisation and exact row deduplication on my transformation throughput records? I have 4 rows: row-1 on 2026-10-01 for group-a with 10 processed_rows and 1 duration_second, row-2 on 2026-10-02 for group-b with 20 processed_rows and 2 duration_seconds, row-3 on 2026-10-03 for group-a with 15 processed_rows and 3 duration_seconds, and row-4 on 2026-10-04 for group-b with 30 processed_rows and 4 duration_seconds — I need both the normalisation and deduplication reports.","exampleUseCases":[{"title":"ETL pipeline duplicate row audit","prompt":"I have 50 rows of transformation throughput logs from my ETL pipeline with processed_rows and duration_seconds per date and dataset group — can you run exact row deduplication and string normalisation on them and give me both reports?"},{"title":"Data quality check before warehouse load","prompt":"Before I load these 120 transformation records into the warehouse, can you normalise the string fields and identify any exact duplicate rows? I'll send you the dataset with row IDs, dates, dataset groups, processed_rows, and duration_seconds."},{"title":"Throughput metrics deduplication for reporting","prompt":"My reporting tool pulled 80 rows of throughput metrics across group-a and group-b between 2026-09-01 and 2026-09-30 — please run string normalisation and exact deduplication so I get clean numbers for the monthly summary."}],"resultDescription":"Returns 2 analytical reports: (1) a string normalisation report showing standardised string fields across the submitted rows, and (2) an exact row deduplication report identifying and removing duplicate records, both computed locally from the supplied data without any external lookups or predictions.","failureModes":["More than 200 rows submitted — request exceeds maxItems limit","Missing required fields (row_id, date, processed_rows, duration_seconds) cause validation errors","Invalid date format (not YYYY-MM-DD) triggers pattern validation failure","processed_rows or duration_seconds outside allowed numeric range causes rejection","Empty rows array (minItems: 1 not met) results in error"],"whenToPreferThis":"Choose this endpoint when you need both string normalisation and exact row deduplication applied together to transformation throughput records (processed_rows and duration_seconds) in a single call, with up to 200 rows and no need for external lookups or live data. It is particularly suited for ETL/data pipeline quality checks where you want two bundled analytical reports at low cost ($0.01 USDC for both).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-28T19:41:41.398Z","isFirstParty":false,"canonicalSlug":"transformation-throughput-analytics-string-normalisation-exact-row-4c36937c"}