{"uid":"cap_6Ba1dKSLNQnIz_cdgrky-","slug":"schema-conformity-adjacent-row-changes-date-by-category-pivot-a60dd404","name":"Schema Conformity — Adjacent Row Changes + Date by Category Pivot","description":"Schema conformity — Adjacent row changes + Date by category pivot: Adjacent row changes + 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-02-160?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_DMAfV33oQWj8WRE67u4dC","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 data (valid_records, checked_records) producing two reports: adjacent row change analysis and a date-by-category pivot, for up to 200 rows.","exampleAgentPrompt":"Run adjacent row change analysis and a date-by-category pivot on my schema conformity data — here are 4 rows with dataset_group 'group-a' and 'group-b', dates from 2026-10-01 to 2026-10-04, and I want to analyze the valid_records field.","exampleUseCases":[{"title":"Data pipeline conformity trend review","prompt":"I have daily schema validation logs for two dataset groups across October — can you run adjacent row change analysis and a date-by-category pivot on my valid_records so I can spot where conformity dips or spikes?"},{"title":"Checked records sequential comparison","prompt":"Run both the adjacent row change report and the date-by-category pivot on my conformity data using the checked_records field — I want to see how my checked record counts shift between consecutive rows and how they break down by group and date."},{"title":"Multi-group data quality audit","prompt":"I'm auditing schema quality for groups 'alpha', 'beta', and 'gamma' across 150 daily records — give me the adjacent row changes and the date-by-category pivot for valid_records so I can present both views in my quality review meeting."}],"resultDescription":"Returns two analytical reports computed locally on the supplied data: (1) an adjacent row change report showing how the selected metric (valid_records or checked_records) shifts between consecutive rows, and (2) a date-by-category pivot table cross-tabulating the metric across dates and dataset_group values. No external lookups or predictions are made.","failureModes":["Fewer than 1 row supplied — minimum 1 row required","More than 200 rows supplied — request rejected, maxItems is 200","Invalid date format (not YYYY-MM-DD) — schema validation failure","Numeric values outside ±1,000,000,000,000 range — rejected by schema","Invalid field value (must be 'valid_records' or 'checked_records') — enum validation error","Missing required fields (row_id, dataset_group, date) — schema error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 schema conformity records with valid_records and checked_records metrics and need both an adjacent row change analysis and a date-by-category pivot in a single low-cost call ($0.01 USDC). It is ideal for data quality monitoring workflows, offline batch analysis, or audit reporting where no external data enrichment or live predictions are needed — just two analytical views on your supplied dataset.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:57:41.136Z","isFirstParty":false,"canonicalSlug":"schema-conformity-adjacent-row-changes-date-by-category-pivot-a60dd404"}