{"uid":"cap_CpENKPeyzPQgJjo6dDcty","slug":"schema-conformity-two-measure-correlation-and-date-by-category-pivot-2ad74b87","name":"Schema Conformity Two-Measure Correlation and Date-by-Category Pivot Analytics","description":"Schema conformity — Two-measure correlation + Date by category pivot: Two-measure correlation + 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-02-182?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_fcSNzYzR2WFR212UJRykW","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 correlation between valid_records and checked_records, plus a date-by-category pivot table, for up to 200 rows.","exampleAgentPrompt":"Can you run a two-measure correlation and a date-by-category pivot on my schema conformity data? I have rows with dataset_group, date, valid_records, and checked_records — here are up to 200 rows, and I want to analyze the valid_records field.","exampleUseCases":[{"title":"Data quality audit correlation check","prompt":"I have a bunch of schema conformity records from our pipeline — each row has a dataset_group, a date, valid_records, and checked_records. Can you run a correlation between those two measures and also give me a pivot of valid_records by date and category? Here's the data for about 150 rows."},{"title":"Monthly conformity trend pivot for two groups","prompt":"We track schema conformity across two dataset groups — group-a and group-b — daily over the past month. Can you pivot the checked_records by date and group, and also show me how checked_records correlates with valid_records across all those rows?"},{"title":"Data governance reporting for QA team","prompt":"Our QA team needs a quick analytics summary on this batch of conformity audit results — around 80 rows covering several dataset groups and dates. Run the two-measure correlation on valid_records and checked_records, plus a date-by-category breakdown of valid_records, and give us both reports."}],"resultDescription":"Returns two independent analytical reports computed locally on the supplied data: (1) a two-measure correlation between valid_records and checked_records across all rows, and (2) a pivot table of the selected field (valid_records or checked_records) broken down by date and dataset_group category. No external lookups or predictions are made.","failureModes":["Missing required row fields (row_id, date, valid_records, checked_records) causes validation error","Date strings not matching YYYY-MM-DD pattern are rejected","Exceeding 200 rows returns an error or truncation","Null values in numeric fields may affect correlation computation","Invalid field enum value (not 'valid_records' or 'checked_records') causes rejection"],"whenToPreferThis":"Choose this endpoint when you have schema conformity or data validation records with valid_records and checked_records metrics and need both a statistical correlation between the two measures and a pivot breakdown by date and dataset_group, all in a single low-cost call without any external data lookups or side effects.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:57:51.386Z","isFirstParty":false,"canonicalSlug":"schema-conformity-two-measure-correlation-and-date-by-category-pivot-2ad74b87"}