{"uid":"cap_6OO5JZ-XfpN5R4yK1e79J","slug":"schema-conformity-analytics-grouped-numeric-summary-adjacent-row-698052d1","name":"Schema Conformity Analytics: Grouped Numeric Summary + Adjacent Row Changes","description":"Schema conformity — Grouped numeric summary + Adjacent row changes: Grouped numeric summary + Adjacent row changes 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-02-091?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_AM-E1pRT6pDbR1Xg5iDgJ","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) to produce two reports: a grouped numeric summary by dataset group and an adjacent row change analysis, for up to 200 rows.","exampleAgentPrompt":"I have schema conformity data with valid_records and checked_records across groups like 'group-a' and 'group-b' dated from 2026-10-01 to 2026-10-04 — can you give me a grouped numeric summary and show how the valid_records changed between adjacent rows?","exampleUseCases":[{"title":"Data quality dashboard grouped rollup","prompt":"I have daily schema conformity records for two dataset groups over the past month — can you group them and give me a numeric summary of valid_records by dataset group, plus show me how valid_records shifted between each consecutive row?"},{"title":"Audit consecutive row changes in validation pipeline","prompt":"Here are 50 rows of our schema validation pipeline output with checked_records per day per group — I need to see both the grouped statistics and the row-to-row changes in checked_records so I can spot anomalies."},{"title":"Weekly schema health review across datasets","prompt":"I want to review schema conformity for our datasets this week — I have rows with dataset_group, date, valid_records, and checked_records. Generate a grouped numeric summary and flag how valid_records changed between adjacent rows."}],"resultDescription":"Two independent analytical reports for up to 200 supplied rows: (1) a grouped numeric summary of the chosen field (valid_records or checked_records) broken down by dataset_group, including aggregates such as count, sum, mean, min, and max; (2) an adjacent row change report showing the delta of the chosen field between consecutive rows, enabling trend and anomaly detection.","failureModes":["Input array empty or missing required fields (row_id, dataset_group, date, valid_records, checked_records) returns validation error","More than 200 rows submitted exceeds maxItems limit and is rejected","Invalid date format (not YYYY-MM-DD) fails pattern validation","Field selector not one of 'valid_records' or 'checked_records' returns enum error","null numeric values in valid_records or checked_records may produce null deltas in adjacent row change report"],"whenToPreferThis":"Choose this endpoint when you have schema conformity records with valid_records and checked_records fields and need both a group-level numeric rollup and a sequential row change analysis in a single low-cost call. It is purpose-built for data quality and schema validation analytics workflows, requiring no external lookups or live data — ideal for offline batch reporting on up to 200 rows at $0.01 USDC for both reports simultaneously.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T00:46:56.136Z","isFirstParty":false,"canonicalSlug":"schema-conformity-analytics-grouped-numeric-summary-adjacent-row-698052d1"}