{"uid":"cap_MvPHMKMh15P5wQREGWYxK","slug":"schema-conformity-analytics-category-frequencies-two-measure-b161cc03","name":"Schema Conformity Analytics: Category Frequencies + Two-Measure Correlation","description":"Schema conformity — Category frequencies + Two-measure correlation: Category frequencies + Two-measure correlation 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-02-108?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}}},"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_k4vdt53acgL2ceETBgc66","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":"Computes category frequency distributions and two-measure correlation analysis on user-supplied schema conformity records (valid_records vs checked_records) for up to 200 rows.","exampleAgentPrompt":"Analyze my schema conformity data — I have records for two groups (group-a and group-b) across four dates, with valid_records and checked_records counts for each. Can you run the category frequency report and the two-measure correlation on that data?","exampleUseCases":[{"title":"Data quality audit by pipeline group","prompt":"I have daily conformity logs from our ETL pipeline showing how many records were checked and how many passed validation, split across three dataset groups over the past month — can you give me a frequency breakdown by group and tell me how strongly valid_records correlates with checked_records?"},{"title":"Schema validation monitoring dashboard","prompt":"We track schema conformity daily across two data sources. Here are 50 rows with row_id, date, dataset_group, valid_records, and checked_records — run the category frequency and two-measure correlation reports so I can see which groups flag most often and whether check volume predicts pass rate."},{"title":"Ad-hoc conformity check before data release","prompt":"Before we publish this dataset, I want to quickly check: run frequency counts by dataset_group and a correlation between valid_records and checked_records on these 30 rows so I know if conformity issues cluster in any particular group."}],"resultDescription":"Returns two independent analytical reports: (1) a category frequency table showing how often each dataset_group value appears in the submitted rows, and (2) a two-measure correlation report between valid_records and checked_records across all submitted rows. Both reports are computed locally on the supplied data with no external lookups.","failureModes":["Input array is empty or exceeds 200 rows — request rejected","Missing required fields (row_id, date, valid_records, checked_records) — validation error","Date strings not matching YYYY-MM-DD pattern — schema validation failure","All valid_records or checked_records values are null — correlation cannot be computed","Payment of 0.01 USDC not completed — 402 response, no report returned"],"whenToPreferThis":"Choose this endpoint when you need both a group-level frequency summary and a correlation between two numeric measures (valid_records and checked_records) on schema conformity data in a single low-cost call. It is ideal for data quality monitoring workflows where you already have the raw conformity rows and need quick, offline statistical summaries without any external data enrichment or prediction.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-16T18:48:34.198Z","isFirstParty":false,"canonicalSlug":"schema-conformity-analytics-category-frequencies-two-measure-b161cc03"}