{"uid":"cap_h3Kt2V7Oy32tUhLVZwiA7","slug":"transformation-throughput-analytics-record-quality-audit-string-0c65be0b","name":"Transformation Throughput Analytics — Record Quality Audit + String Normalisation + Two-Measure Correlation","description":"Transformation throughput — Record quality audit + String normalisation + Two-measure correlation: Record quality audit + String normalisation + Two-measure correlation 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-13-204?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_uGpghwCX7PIfXjxDjriaf","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":"Audits record quality, normalises strings, and computes correlation between processed_rows and duration_seconds for up to 200 transformation throughput records, returning three independent analytical reports.","exampleAgentPrompt":"Can you run a record quality audit, string normalisation, and correlation analysis between processed_rows and duration_seconds on my transformation throughput data — here are 50 rows from October 2026 across dataset groups alpha and beta?","exampleUseCases":[{"title":"ETL pipeline health check","prompt":"I have 120 rows of daily ETL run logs with processed_rows and duration_seconds for groups 'ingest' and 'transform' from last month — can you audit their data quality, normalise the group name strings, and tell me if there's a correlation between how many rows were processed and how long it took?"},{"title":"Data engineering sprint review","prompt":"We just finished a sprint and I've got 80 transformation throughput records across dataset groups 'sprint-A' and 'sprint-B' from September 2026. Can you give me a quality audit, clean up the string fields, and check the correlation between processed_rows and duration_seconds so I can report on pipeline efficiency?"},{"title":"Batch job consistency audit","prompt":"I'm seeing inconsistent dataset_group labels in our batch job throughput logs — can you run a quality audit and string normalisation on these 150 records from Q3 2026 and also compute the correlation between processed row counts and duration to see if slower jobs actually processed more data?"}],"resultDescription":"Three independent analytical reports: (1) a record quality audit flagging nulls, out-of-range values, and completeness issues across all fields; (2) a string normalisation report standardising dataset_group and other string fields; (3) a two-measure correlation report quantifying the statistical relationship between processed_rows and duration_seconds across the submitted rows.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, date, processed_rows, duration_seconds) cause row-level rejection","Dates not matching YYYY-MM-DD pattern fail schema validation","All-null values for processed_rows or duration_seconds may prevent correlation computation","Payment failure (insufficient USDC) blocks request execution"],"whenToPreferThis":"Choose this endpoint when you need three bundled local analytical operations — quality auditing, string normalisation, and correlation — on transformation throughput data (processed_rows vs duration_seconds) in a single cost-effective call. It is ideal for data engineers who want a comprehensive offline snapshot analysis of pipeline records without needing live lookups, predictions, or external integrations. Prefer this over single-report endpoints when all three report types are needed simultaneously to save cost and round-trips.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:47:09.121Z","isFirstParty":false,"canonicalSlug":"transformation-throughput-analytics-record-quality-audit-string-0c65be0b"}