{"uid":"cap_RPYEAQbnkhcVj-4NjXNqg","slug":"data-ingestion-batches-exact-row-deduplication-explicit-missing-value-a35eeb84","name":"Data Ingestion Batches — Exact Row Deduplication + Explicit Missing-Value Fill","description":"Data ingestion batches — Exact row deduplication + Explicit missing-value fill: Exact row deduplication + Explicit missing-value fill for supplied data ingestion batches records (received_rows, accepted_rows). 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-01-054?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","received_rows","accepted_rows"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"accepted_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80},"received_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","accepted_rows":1,"dataset_group":"group-a","received_rows":10},{"date":"2026-10-02","row_id":"row-2","accepted_rows":2,"dataset_group":"group-b","received_rows":20},{"date":"2026-10-03","row_id":"row-3","accepted_rows":3,"dataset_group":"group-a","received_rows":15},{"date":"2026-10-04","row_id":"row-4","accepted_rows":4,"dataset_group":"group-b","received_rows":30}],"maxItems":200,"minItems":1},"field":{"enum":["received_rows","accepted_rows"],"type":"string","default":"received_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_op0yZ5X-W9pgjpkYEGlmx","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":"Deduplicates exact rows and fills missing values in data ingestion batch records (received_rows, accepted_rows) for up to 200 rows, returning two analytical reports.","exampleAgentPrompt":"Can you deduplicate these ingestion batch rows and fill any missing received_rows values using median? I have 4 records across groups 'group-a' and 'group-b' dated from 2026-10-01 to 2026-10-04.","exampleUseCases":[{"title":"Clean ETL pipeline ingestion logs","prompt":"I have a batch of 50 data ingestion records with some duplicate rows and some null accepted_rows values — can you deduplicate them exactly and fill the missing accepted_rows using mean imputation?"},{"title":"Audit dataset group batch for nulls","prompt":"My ingestion batch for 'dataset-sales' has 120 rows dated throughout October 2026, and I suspect some received_rows are missing. Can you fill the nulls with zero and also flag any exact duplicate rows?"},{"title":"Pre-processing check before pipeline load","prompt":"Before I load these 80 ingestion batch records into our warehouse, can you run exact row deduplication and fill any missing received_rows using median so I know the data is clean?"}],"resultDescription":"Returns two independent analytical reports: (1) an exact row deduplication report identifying and removing fully duplicate rows from the submitted batch, and (2) a missing-value fill report replacing nulls in the specified field (received_rows or accepted_rows) using the chosen method (zero, mean, or median). No external lookups or predictions are performed — all analysis uses local engines on the supplied data only.","failureModes":["More than 200 rows submitted — request exceeds maxItems limit","Missing required fields (row_id, dataset_group, date, received_rows, accepted_rows) — validation error","Date string not matching YYYY-MM-DD pattern — schema validation failure","Numeric values outside allowed range (±1,000,000,000,000) — validation rejection","Invalid enum value for field or method — schema error","Empty rows array — minItems constraint violated"],"whenToPreferThis":"Choose this endpoint when you need lightweight, local, offline-safe deduplication and missing-value imputation on small-to-medium ingestion batch records (up to 200 rows) without requiring external data access or predictions. Ideal for pre-load data quality checks in ETL pipelines dealing with received_rows and accepted_rows metrics. Prefer this over heavier ML-based imputation or cloud data-quality services when your dataset fits within 200 rows and you want fast, deterministic, cost-effective cleaning at $0.01 per call covering both reports.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:58:27.530Z","isFirstParty":false,"canonicalSlug":"data-ingestion-batches-exact-row-deduplication-explicit-missing-value-a35eeb84"}