{"uid":"cap_JdKtKKQoCXfyEdOIgtolm","slug":"schema-conformity-record-quality-audit-exact-row-deduplication-3e618b79","name":"Schema Conformity — Record Quality Audit + Exact Row Deduplication + Numeric Row Ordering","description":"Schema conformity — Record quality audit + Exact row deduplication + Numeric row ordering: Record quality audit + Exact row deduplication + Numeric row ordering 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-02-213?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_Dk9b6Xd0j6kqylZ0eWMGM","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":"Analyzes schema conformity records (valid_records, checked_records) by running three independent local reports: a record quality audit, exact row deduplication, and numeric row ordering — on up to 200 rows.","exampleAgentPrompt":"Can you run a record quality audit, exact deduplication, and numeric row ordering on my schema conformity data? I have rows with dataset_group 'prod-a' and dates from 2025-01-01 to 2025-01-10, with valid_records and checked_records counts — analyze the valid_records field across all 10 rows.","exampleUseCases":[{"title":"Deduplicating pipeline conformity logs","prompt":"I have a batch of 50 schema conformity log rows from last month — each has a row_id, dataset_group, date, valid_records, and checked_records. Can you deduplicate them exactly, audit the record quality, and give me a numerically ordered view of the checked_records field?"},{"title":"Auditing nightly validation batch results","prompt":"My nightly validation job produced 120 rows of schema conformity records with valid_records and checked_records values. Can you run all three reports — quality audit, deduplication, and numeric ordering — on the valid_records field so I can spot anomalies?"},{"title":"Sorting and cleaning QA conformity dataset","prompt":"I've got a QA conformity dataset with about 80 rows across two dataset groups, and I suspect there are some duplicate rows. Can you run exact row deduplication, a record quality audit, and numeric row ordering on the checked_records column for me?"}],"resultDescription":"Three independent analytical reports on the submitted rows: (1) a record quality audit flagging data issues in the selected field, (2) an exact row deduplication report identifying and removing repeated rows, and (3) a numeric row ordering report sorting rows by the selected numeric field. All computed locally from supplied data with no external lookups.","failureModes":["Submitting more than 200 rows returns an error or truncation","Missing required fields (row_id, date, valid_records, checked_records) causes validation failure","Invalid date format (not YYYY-MM-DD) triggers a schema rejection","Selecting a field value outside the enum ['valid_records','checked_records'] returns an error","Submitting an empty rows array (minItems: 1 violated) causes rejection"],"whenToPreferThis":"Choose this endpoint when you need three bundled local analytics reports — quality audit, deduplication, and numeric ordering — on schema conformity records in a single low-cost call. It is best suited for batch analysis of up to 200 rows of valid_records or checked_records data without any need for external lookups, predictions, or real-time data. Prefer it over single-report endpoints on the same platform when you need all three outputs at once for the same dataset.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-14T00:37:02.441Z","isFirstParty":false,"canonicalSlug":"schema-conformity-record-quality-audit-exact-row-deduplication-3e618b79"}