{"uid":"cap_JqT26P4Wk6fiNFxr88d9J","slug":"schema-conformity-analytics-exact-row-deduplication-date-by-category-1a05bed9","name":"Schema Conformity Analytics: Exact Row Deduplication + Date-by-Category Pivot","description":"Schema conformity — Exact row deduplication + Date by category pivot: Exact row deduplication + Date by category pivot 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-02-052?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_FnVGuVEHdGlmxfQSXJ-1J","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":"Deduplicates rows and produces a date-by-category pivot table for schema conformity metrics (valid_records, checked_records) across up to 200 rows in two bundled reports.","exampleAgentPrompt":"I have up to 200 rows of schema conformity data with fields row_id, dataset_group, date, valid_records, and checked_records — can you deduplicate the rows exactly and then pivot valid_records by date and dataset_group into a summary table?","exampleUseCases":[{"title":"Data quality audit deduplication and pivot","prompt":"Here are 150 rows from our nightly schema conformity audit with row_id, dataset_group, date, valid_records, and checked_records — please deduplicate any exact duplicate rows and give me a pivot of valid_records by date and dataset_group."},{"title":"Checked records trend by category","prompt":"I want to analyze checked_records across our dataset groups over time — can you take these 80 schema conformity rows, remove any duplicates, and pivot checked_records by date and dataset_group so I can see the trend?"},{"title":"Multi-group schema validation summary","prompt":"We have conformity logs from three dataset groups over the past month, up to 200 rows — deduplicate the exact rows and produce a date-by-category pivot for valid_records so we can compare groups week over week."}],"resultDescription":"Returns two analytical reports: (1) a deduplicated row set with exact duplicate rows removed, and (2) a date-by-category pivot table cross-tabulating the chosen metric (valid_records or checked_records) by date and dataset_group, covering up to 200 input rows.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Missing required fields (row_id, date, dataset_group, valid_records, checked_records) cause validation errors","Malformed date strings not matching YYYY-MM-DD pattern will fail schema validation","Null numeric values may affect pivot aggregation totals","Empty rows array returns an error"],"whenToPreferThis":"Choose this endpoint when you need both exact row deduplication and a date-by-category pivot table for schema conformity data (valid_records / checked_records) in a single low-cost call. It is purpose-built for data quality audit workflows on datasets up to 200 rows and bundles two reports for $0.01 USDC, making it efficient for lightweight, offline analytical processing without requiring external lookup or ML inference.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:58:25.903Z","isFirstParty":false,"canonicalSlug":"schema-conformity-analytics-exact-row-deduplication-date-by-category-1a05bed9"}