{"uid":"cap_BObWdMsm0tCTp_VADM2Os","slug":"schema-conformity-analytics-record-quality-audit-exact-row-89b9f4be","name":"Schema Conformity Analytics — Record Quality Audit + Exact Row Deduplication + Daily Sum Series","description":"Schema conformity — Record quality audit + Exact row deduplication + Daily sum series: Record quality audit + Exact row deduplication + Daily sum series 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-02-215?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_vFgbuG_Xwc4-_tszmCTa7","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 offline analytical reports on schema conformity data (valid_records, checked_records): a record quality audit, exact row deduplication, and a daily sum time series — all from supplied rows, no external calls.","exampleAgentPrompt":"Can you run a full record quality audit, exact row deduplication check, and daily sum series on my schema conformity data? Here are up to 200 rows with fields row_id, dataset_group, date, valid_records, and checked_records — I want all three reports using valid_records as the target field.","exampleUseCases":[{"title":"Daily valid record trend for compliance team","prompt":"I have a dataset of schema conformity records with valid_records and checked_records logged daily across several dataset groups. Can you compute the daily sum series for valid_records so I can see how validation counts trend over time?"},{"title":"Deduplication audit before data pipeline merge","prompt":"Before I merge my conformity tracking tables, I want to check for exact duplicate rows. Can you run the exact row deduplication report on my up-to-200-row dataset with fields row_id, dataset_group, date, valid_records, and checked_records?"},{"title":"Data quality health check for QA review","prompt":"Run a record quality audit on my schema conformity records — I've got rows with valid_records and checked_records across different dataset_groups and dates, and I want to see which records pass or fail quality checks."}],"resultDescription":"Returns three independent analytical reports: (1) a record quality audit flagging anomalous or problematic rows, (2) an exact row deduplication report identifying fully duplicate records, and (3) a daily sum time series aggregating the chosen field (valid_records or checked_records) by date — all computed locally from the supplied rows with no external lookups.","failureModes":["Input exceeds 200 rows — request will be rejected or truncated","Missing required fields (row_id, date, valid_records, checked_records) cause row-level validation errors","Invalid date format (must match YYYY-MM-DD pattern) causes parse errors","Null or out-of-range numeric values in valid_records or checked_records may affect aggregation accuracy","Malformed JSON input body returns a 400-level error"],"whenToPreferThis":"Choose this endpoint when you need three simultaneous analytical reports — quality audit, deduplication, and daily aggregation — on schema conformity data in a single API call at low cost ($0.01 USDC). Ideal for offline batch analysis of up to 200 rows where no live data lookups, predictions, or external integrations are needed. Prefer alternatives if you need more than 200 rows, real-time streaming results, or only one of the three report types.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-14T00:37:19.439Z","isFirstParty":false,"canonicalSlug":"schema-conformity-analytics-record-quality-audit-exact-row-89b9f4be"}