{"uid":"cap_uFIaiD5djcqCPzMlLqNVg","slug":"schema-conformity-record-quality-audit-duplicate-key-report-dde0c755","name":"Schema Conformity — Record Quality Audit + Duplicate Key Report","description":"Schema conformity — Record quality audit + Duplicate key report: Record quality audit + Duplicate key report 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-02-003?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}}},"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_kbh9Us7bXuh5UKz2QUfJa","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":"Audits up to 200 schema conformity rows for record quality issues and generates a duplicate key report, using local analytical engines with no external lookups.","exampleAgentPrompt":"Can you run a record quality audit and duplicate key report on these schema conformity rows — I have up to 50 rows with row_id, dataset_group, date, valid_records, and checked_records fields and want to find any anomalies or duplicate keys?","exampleUseCases":[{"title":"Pre-load data integrity check","prompt":"Before I load this batch of schema conformity records into our warehouse, can you audit them for quality issues and flag any duplicate row IDs? Here are 120 rows with their valid_records and checked_records counts across several dataset groups."},{"title":"Daily pipeline quality monitoring","prompt":"I want to check yesterday's schema conformity data for record quality problems and duplicate keys — I have 80 rows covering dataset groups A, B, and C with dates from 2025-07-01, can you give me both reports?"},{"title":"Dataset group comparison audit","prompt":"Can you audit these 40 schema conformity records across two dataset groups and tell me if there are duplicate row IDs or any rows where the valid_records or checked_records values look off?"}],"resultDescription":"Returns two independent analytical reports: (1) a record quality audit identifying anomalies, missing values, or integrity issues in the valid_records and checked_records fields; and (2) a duplicate key report flagging any repeated row_id values across the submitted rows. Both reports are generated locally with no external data access.","failureModes":["More than 200 rows submitted — exceeds maxItems limit, request rejected","Missing required fields (row_id, dataset_group, date, valid_records, or checked_records) on any row","Invalid date format (must match YYYY-MM-DD pattern)","row_id exceeds 80 characters or is empty","numeric fields outside allowed range (-1,000,000,000,000 to 1,000,000,000,000)","Empty rows array (minItems: 1 not met)"],"whenToPreferThis":"Choose this endpoint when you need two simultaneous analytical reports — a record quality audit AND a duplicate key check — on schema conformity data (valid_records, checked_records) in a single low-cost call. Ideal for pre-ingestion data validation pipelines, automated data quality checks, or batch auditing of up to 200 rows without requiring any external lookups or live data connections. Prefer over generic validation tools when your data follows the specific schema conformity structure (row_id, dataset_group, date, valid_records, checked_records).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T00:47:23.524Z","isFirstParty":false,"canonicalSlug":"schema-conformity-record-quality-audit-duplicate-key-report-dde0c755"}