{"uid":"cap_04Pp_Rj_dl4i7mRHGAo1b","slug":"schema-conformity-duplicate-key-report-and-numeric-row-ordering-8bb77d89","name":"Schema Conformity Duplicate Key Report and Numeric Row Ordering","description":"Schema conformity — Duplicate key report + Numeric row ordering: Duplicate key report + Numeric row ordering 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-02-058?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_1y0BbFJFpx413za4q_hZU","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":"Generates a duplicate key report and numeric row ordering analysis for schema conformity records (valid_records, checked_records) across up to 200 rows.","exampleAgentPrompt":"Can you run a duplicate key report and numeric row ordering analysis on my schema conformity data? I have rows with fields like row_id, dataset_group, date, valid_records, and checked_records — analyze the valid_records field across my 50 rows and flag any duplicate keys and show me the numeric ordering.","exampleUseCases":[{"title":"Detect duplicate row IDs in conformity batch","prompt":"I've got a batch of 120 schema conformity records with row_id, dataset_group, date, valid_records, and checked_records — can you run a duplicate key report on the valid_records field and tell me which row IDs appear more than once?"},{"title":"Verify numeric ordering of checked records","prompt":"Can you take my 80 schema conformity rows and produce a numeric row ordering report for the checked_records field so I can see if the values are in a consistent order across my dataset groups?"},{"title":"Quality check before data pipeline ingestion","prompt":"Before I ingest this conformity dataset into our pipeline, can you run both a duplicate key check and a numeric ordering analysis on the valid_records field across these 200 rows to catch any data quality issues?"}],"resultDescription":"Returns two independent analytical reports: (1) a duplicate key report identifying repeated row_id values or duplicate patterns in the chosen field (valid_records or checked_records), and (2) a numeric row ordering report showing the ordered sequence of row values — all computed locally without any external lookup or live data access, covering up to 200 submitted rows.","failureModes":["Exceeds 200 row limit — request rejected","Missing required fields (row_id, date, valid_records, checked_records) — validation error","Invalid date format (must be YYYY-MM-DD) — schema rejection","row_id exceeds 80 character maxLength — field validation failure","Field selector not in enum [valid_records, checked_records] — invalid field error","Empty rows array — minimum 1 item requirement not met"],"whenToPreferThis":"Choose this endpoint when you need fast, local analytical computation on a batch of schema conformity records — specifically to detect duplicate row keys and produce numeric ordering reports on valid_records or checked_records — without requiring any external data lookup, prediction, or live system access. It is cost-effective at $0.01 USDC for two reports on up to 200 rows, making it suitable for lightweight data quality checks in automated pipelines.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-11T12:48:22.024Z","isFirstParty":false,"canonicalSlug":"schema-conformity-duplicate-key-report-and-numeric-row-ordering-8bb77d89"}