{"uid":"cap_Aa_QNEfKGkKSwEvOUXgXi","slug":"schema-conformity-duplicate-key-report-numeric-distribution-analyzer-49d191d3","name":"Schema Conformity Duplicate Key Report + Numeric Distribution Analyzer","description":"Schema conformity — Duplicate key report + Numeric distribution: Duplicate key report + Numeric distribution 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-02-055?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"}}},"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_pmosOSEfpY9TmJ5ZszMx5","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":"Runs two local analytical reports — a duplicate key report and a numeric distribution — on supplied schema conformity records (valid_records, checked_records) for up to 200 rows.","exampleAgentPrompt":"Can you run a duplicate key report and numeric distribution on my schema conformity data? I have up to 200 rows with fields like row_id, dataset_group, date, valid_records, and checked_records — analyze the valid_records field for the distribution part.","exampleUseCases":[{"title":"Data quality audit for pipeline records","prompt":"I have 150 rows of schema conformity logs with row IDs, dataset groups, dates, valid_records, and checked_records — can you run a duplicate key check and a numeric distribution on valid_records so I can spot data quality issues?"},{"title":"Detecting duplicate entries in validation exports","prompt":"My team exported a validation run with about 80 rows including row_id, date, dataset_group, valid_records, and checked_records — please run a duplicate key report and show me the numeric distribution of checked_records."},{"title":"Summarizing conformity metrics across dataset groups","prompt":"I've got conformity data across two dataset groups, around 50 rows, with valid_records and checked_records per day — give me a duplicate key report and a numeric distribution of valid_records so I can see how values are spread."}],"resultDescription":"Returns two independent analytical reports: (1) a duplicate key report identifying any repeated row_id values across the supplied rows, and (2) a numeric distribution report (e.g. min, max, mean, percentiles, frequency buckets) for the selected field (valid_records or checked_records). Both reports are computed locally with no external lookups.","failureModes":["Fewer than 1 row supplied — minimum row count not met","More than 200 rows supplied — exceeds maximum row count","Missing required fields (row_id, dataset_group, date, valid_records, checked_records) in any row","Date field does not match YYYY-MM-DD pattern — validation error","Field enum value not one of valid_records or checked_records","Numeric values out of allowed range (±1,000,000,000,000)","row_id exceeds 80 character maxLength"],"whenToPreferThis":"Choose this endpoint when you have up to 200 schema conformity records and need both a duplicate key check and a numeric distribution report in a single call for a flat fee of $0.01 USDC. Ideal for data quality workflows where you want to audit row uniqueness and understand the statistical spread of valid_records or checked_records without needing live lookups, predictions, or external data sources.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T18:48:18.938Z","isFirstParty":false,"canonicalSlug":"schema-conformity-duplicate-key-report-numeric-distribution-analyzer-49d191d3"}