{"uid":"cap_qn4IHy_obi0tlnv-8U7MT","slug":"schema-conformity-analytics-grouped-numeric-summary-date-by-category-f8e104f6","name":"Schema Conformity Analytics: Grouped Numeric Summary + Date-by-Category Pivot","description":"Schema conformity — Grouped numeric summary + Date by category pivot: Grouped numeric summary + 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-02-097?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_HCHPlaxWtEN_d3CYx41n0","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":"Runs two local analytical reports on schema conformity data — a grouped numeric summary and a date-by-category pivot — for up to 200 rows of valid/checked record counts.","exampleAgentPrompt":"Can you run a grouped numeric summary and date-by-category pivot on my schema conformity data? I have rows with dataset groups like 'group-a' and 'group-b', dates from 2026-10-01 to 2026-10-04, and I want to analyze the valid_records field across up to 200 rows.","exampleUseCases":[{"title":"Daily data quality dashboard pivot","prompt":"I have 150 rows of schema conformity records with dataset_group, date, valid_records, and checked_records — can you pivot the valid_records by date and category and also give me a grouped numeric summary so I can see which groups have the most conformity issues?"},{"title":"Comparing checked vs valid records by group","prompt":"Run both reports — the grouped numeric summary and the date-by-category pivot — on my schema conformity dataset using the checked_records field, so I can compare how many records were actually checked per group."},{"title":"Monthly conformity trend analysis","prompt":"I've got schema conformity data for October across group-a and group-b — can you generate a grouped summary and a date pivot on valid_records so I can spot which days or categories had the worst conformity rates?"}],"resultDescription":"Returns two analytical reports: (1) a grouped numeric summary aggregating valid_records or checked_records statistics by dataset_group, and (2) a date-by-category pivot showing the selected field broken down by date and dataset_group. Both reports are computed locally from the supplied rows with no external data lookups.","failureModes":["Input array exceeds 200 rows — request will be rejected or truncated","Missing required fields (row_id, dataset_group, date, valid_records, checked_records) cause validation errors","Malformed date strings not matching YYYY-MM-DD pattern rejected by schema","Null numeric values in valid_records or checked_records may affect aggregation results","Invalid field enum value (not 'valid_records' or 'checked_records') causes parameter rejection"],"whenToPreferThis":"Choose this endpoint when you have schema conformity data (valid_records, checked_records) already in hand and need two analytical views — a grouped numeric summary and a date pivot — computed locally without any external lookups. It is ideal for data quality monitoring pipelines, batch reporting on validation results, and lightweight analytics on up to 200 rows at low cost ($0.01 USDC for both reports).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:41:09.980Z","isFirstParty":false,"canonicalSlug":"schema-conformity-analytics-grouped-numeric-summary-date-by-category-f8e104f6"}