{"uid":"cap_6a3b31UGyBRARsZNb2HJh","slug":"schema-conformity-analytics-record-quality-audit-deduplication-0df810e5","name":"Schema Conformity Analytics — Record Quality Audit, Deduplication & Numeric Distribution","description":"Schema conformity — Record quality audit + Exact row deduplication + Numeric distribution: Record quality audit + Exact row deduplication + Numeric distribution for supplied schema conformity records (valid_records, checked_records). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-analytics-02-210?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_YzbqPm8ZOoYpCnqwxxaCt","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 three analytical reports on schema conformity records (valid_records, checked_records): record quality audit, exact row deduplication, and numeric distribution analysis for up to 200 rows.","exampleAgentPrompt":"Run a record quality audit, exact deduplication check, and numeric distribution report on my schema conformity data — I have rows with valid_records and checked_records fields grouped by dataset_group and date, analyzing the valid_records field specifically.","exampleUseCases":[{"title":"Schema conformity pipeline quality check","prompt":"I have a batch of 50 schema conformity records with valid_records and checked_records values across different dataset groups and dates — can you run all three reports: quality audit, deduplication, and numeric distribution on the valid_records field?"},{"title":"Duplicate conformity records investigation","prompt":"My schema validation logs might have duplicate entries — please run a deduplication analysis plus a quality audit on these conformity records showing valid_records and checked_records for each row_id and dataset_group."},{"title":"Distribution analysis of checked records","prompt":"Analyze the numeric distribution of the checked_records field across my schema conformity dataset — I need to see the spread and also flag any quality issues and duplicate rows in the same pass."}],"resultDescription":"Three independent analytical reports: (1) a record quality audit flagging missing, null, or out-of-range values in the supplied rows; (2) an exact row deduplication report identifying identical records; and (3) a numeric distribution summary (e.g. min, max, mean, percentiles) for the selected numeric field (valid_records or checked_records). All computed locally from the supplied data with no external lookups.","failureModes":["Fewer than 1 row or more than 200 rows supplied — request rejected","Missing required fields (row_id, date, valid_records, checked_records) on any row — validation error","Invalid date format (not YYYY-MM-DD) — schema validation failure","Numeric values outside allowed range (±1,000,000,000,000) — rejected","Invalid field enum value (not 'valid_records' or 'checked_records') — error returned","Payment of 0.01 USDC not completed — 402 response"],"whenToPreferThis":"Choose this endpoint when you need a combined quality audit, deduplication scan, and numeric distribution report on schema conformity data (valid_records and checked_records) in a single low-cost call. Ideal for data engineering pipelines validating dataset quality metrics. Prefer it over individual analytics endpoints when all three report types are needed simultaneously on the same conformity dataset, keeping costs to a flat $0.01 USDC for up to 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:58:17.720Z","isFirstParty":false,"canonicalSlug":"schema-conformity-analytics-record-quality-audit-deduplication-0df810e5"}