{"uid":"cap_FJgp8zJmjOfIcNrUkmmvn","slug":"transformation-throughput-record-quality-audit-adjacent-row-changes-fe398878","name":"Transformation Throughput — Record Quality Audit + Adjacent Row Changes","description":"Transformation throughput — Record quality audit + Adjacent row changes: Record quality audit + Adjacent row changes 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-13-011?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_bGVX36-IeJzKZu96YTFVD","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 and detects adjacent row changes in transformation throughput data (processed_rows, duration_seconds) for up to 200 supplied rows, returning 2 independent analytical reports.","exampleAgentPrompt":"Can you run a record quality audit and adjacent row change analysis on these transformation throughput logs — I have up to 50 rows with row_id, dataset_group, date, processed_rows, and duration_seconds — and focus the analysis on the processed_rows field?","exampleUseCases":[{"title":"ETL pipeline health check","prompt":"I have 80 rows of daily ETL run logs with processed_rows and duration_seconds per dataset group — can you audit them for record quality issues and flag any big jumps or drops between adjacent rows, focusing on processed_rows?"},{"title":"Data engineering sprint review","prompt":"We just finished a two-week processing sprint and I have 120 transformation throughput records. Can you give me a quality audit and show me where adjacent rows change significantly in duration_seconds?"},{"title":"Anomaly triage in batch jobs","prompt":"Something looks off in our batch job logs from last month — I've got 60 rows with processed_rows and duration_seconds. Can you audit the record quality and highlight adjacent row changes so I can find where things went wrong?"}],"resultDescription":"Returns two independent analytical reports: (1) a record quality audit highlighting data issues, missing values, or inconsistencies in the supplied transformation throughput rows; and (2) an adjacent row changes report showing where consecutive rows differ significantly in the selected metric (processed_rows or duration_seconds). All analysis is performed locally on the supplied data with no external lookups.","failureModes":["More than 200 rows submitted — request rejected or truncated","Missing required fields (row_id, date, processed_rows, duration_seconds) — validation error","Invalid date format (must be YYYY-MM-DD) — schema validation failure","Non-numeric values in processed_rows or duration_seconds — type error","Empty rows array — minimum 1 item required","Payment not included or insufficient — x402 payment required error"],"whenToPreferThis":"Choose this endpoint when you need dual analytical reports — record quality auditing combined with adjacent row change detection — on transformation throughput data without any external data lookups or predictions. Ideal for data engineers auditing ETL pipeline logs, batch processing records, or data transformation run histories where you supply all data locally and need structured quality and change reports at low cost ($0.01 for both reports).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:46:39.939Z","isFirstParty":false,"canonicalSlug":"transformation-throughput-record-quality-audit-adjacent-row-changes-fe398878"}