{"uid":"cap_QXBDoSaDd6oU0miN5nB70","slug":"transformation-throughput-duplicate-key-report-explicit-missing-value-53a44de8","name":"Transformation Throughput — Duplicate Key Report + Explicit Missing-Value Fill","description":"Transformation throughput — Duplicate key report + Explicit missing-value fill: Duplicate key report + Explicit missing-value fill 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-13-070?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"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"}}},"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_A9hyeCMpZ1k6bHvUZcC0M","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":"Analyzes up to 200 transformation throughput records to produce a duplicate key report and fill missing values in processed_rows or duration_seconds fields using zero, mean, or median imputation.","exampleAgentPrompt":"Check my transformation throughput records for duplicate row IDs and fill any missing processed_rows values using median imputation — here are my rows: row-1 on 2026-10-01 for group-a with 10 processed rows and 1 second, row-2 on 2026-10-02 for group-b with null processed rows and 2 seconds.","exampleUseCases":[{"title":"ETL pipeline duplicate key audit","prompt":"I have 150 transformation throughput records from our nightly ETL job and I need to know which row_ids or date/group combinations appear more than once — can you run a duplicate key report on them and also fill any missing processed_rows values using the mean?"},{"title":"Missing duration imputation before dashboard","prompt":"Before I load these throughput metrics into our dashboard, can you fill in the null duration_seconds values using median imputation across my 80 pipeline batch rows, and flag any duplicate row IDs while you're at it?"},{"title":"Data quality check for downstream ML feature","prompt":"I'm preparing transformation throughput data as a feature for a model — run a duplicate key report and zero-fill any missing processed_rows values across these 60 records so the feature matrix is clean."}],"resultDescription":"Returns two independent analytical reports for the submitted rows: (1) a duplicate key report identifying which row_ids or key combinations appear more than once, and (2) an explicit missing-value fill report showing original null values replaced with the chosen imputation method (zero, mean, or median) for the specified numeric field (processed_rows or duration_seconds). No external lookups or predictions are performed.","failureModes":["More than 200 rows submitted — request rejected with validation error","Invalid date format (not YYYY-MM-DD) causes row-level rejection","Unrecognized imputation method enum value returns validation error","All values for the target field are null — mean/median imputation may be undefined or return zero","Missing required fields (row_id, dataset_group, date) cause per-row errors","Payment not completed via x402 protocol results in 402 response"],"whenToPreferThis":"Choose this endpoint when you need both duplicate key detection and missing value imputation on transformation throughput records (processed_rows, duration_seconds) in a single $0.01 call covering up to 200 rows. Prefer this over separate data quality tools when your data is already structured with row_id, dataset_group, and date fields and you want fast local analytical results without external lookups or model inference.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-28T19:42:20.964Z","isFirstParty":false,"canonicalSlug":"transformation-throughput-duplicate-key-report-explicit-missing-value-53a44de8"}