{"uid":"cap_LfJfnoVc7-BnA9JnT75sR","slug":"schema-conformity-analytics-exact-row-deduplication-explicit-missing-75e50787","name":"Schema Conformity Analytics — Exact Row Deduplication + Explicit Missing-Value Fill","description":"Schema conformity — Exact row deduplication + Explicit missing-value fill: Exact row deduplication + Explicit missing-value fill for supplied schema conformity records (valid_records, checked_records). 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-02-054?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","valid_records","checked_records"],"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},"valid_records":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"checked_records":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","dataset_group":"group-a","valid_records":10,"checked_records":1},{"date":"2026-10-02","row_id":"row-2","dataset_group":"group-b","valid_records":20,"checked_records":2},{"date":"2026-10-03","row_id":"row-3","dataset_group":"group-a","valid_records":15,"checked_records":3},{"date":"2026-10-04","row_id":"row-4","dataset_group":"group-b","valid_records":30,"checked_records":4}],"maxItems":200,"minItems":1},"field":{"enum":["valid_records","checked_records"],"type":"string","default":"valid_records"},"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_mra3wRvZyrJAdCK60Lus8","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 rows and fills missing values for schema conformity records (valid_records, checked_records) across up to 200 rows, producing 2 independent analytical reports.","exampleAgentPrompt":"I have a batch of up to 200 schema conformity records with valid_records and checked_records fields — can you deduplicate the exact duplicate rows and fill any missing valid_records values using median imputation, then give me 2 reports on the cleaned data?","exampleUseCases":[{"title":"Clean nightly conformity pipeline data","prompt":"I have 150 rows of schema conformity data from last night's pipeline run — some rows are exact duplicates and some valid_records values are missing. Please deduplicate them and fill the nulls using median, and give me a report."},{"title":"Impute missing checked_records with zero","prompt":"Can you take my schema conformity dataset — up to 200 rows with dataset_group, date, valid_records, and checked_records — deduplicate exact rows and fill any missing checked_records values with zero so I can review two clean reports?"},{"title":"Data quality audit before reporting","prompt":"Before I submit our weekly data quality report, can you deduplicate my conformity records and fill missing valid_records using mean imputation? I have about 80 rows grouped across two dataset groups."}],"resultDescription":"Returns 2 independent analytical reports on the submitted schema conformity records: one covering deduplication results (exact duplicate rows identified and removed) and one covering missing-value fill results for the target field (valid_records or checked_records) using the chosen method (zero, mean, or median). No external lookups or predictions are made; all analysis is performed locally on the supplied data.","failureModes":["Exceeding 200 rows causes rejection","Missing required fields (row_id, date, dataset_group) causes validation error","Invalid date format (not YYYY-MM-DD) causes schema rejection","All rows being duplicates may result in a minimal deduplicated output","Providing no null values means the fill report reflects no changes","Invalid method or field enum values cause request failure"],"whenToPreferThis":"Choose this endpoint when you have up to 200 schema conformity records (with valid_records and checked_records fields) and need a combined deduplication and missing-value imputation report at low cost ($0.01 USDC for 2 reports). It is ideal for lightweight, local data cleaning tasks on conformity metrics without requiring external data sources, live APIs, or ML predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:58:27.659Z","isFirstParty":false,"canonicalSlug":"schema-conformity-analytics-exact-row-deduplication-explicit-missing-75e50787"}