{"uid":"cap_3D_uceC15fDW4pmDe2lOw","slug":"schema-conformity-analytics-category-frequencies-numeric-interval-6047e16b","name":"Schema Conformity Analytics: Category Frequencies + Numeric Interval Filter","description":"Schema conformity — Category frequencies + Numeric interval filter: Category frequencies + Numeric interval filter 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-02-101?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"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_hg6N9cDAkXuwd5W7jCd1r","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 category frequency distributions and numeric interval-filtered subsets across up to 200 rows.","exampleAgentPrompt":"Analyze my schema conformity data for up to 200 rows — give me category frequencies by dataset_group and filter the valid_records field to only include rows where values fall between 50 and 5000. Here are the rows: [{\"row_id\":\"row-1\",\"dataset_group\":\"group-a\",\"date\":\"2026-10-01\",\"valid_records\":120,\"checked_records\":150}].","exampleUseCases":[{"title":"Data quality pipeline group breakdown","prompt":"I have 150 rows of schema conformity results from my data pipeline — can you count how many rows belong to each dataset_group and also filter the valid_records field to show only rows between 100 and 10000? Here's my data as an array of records with row_id, dataset_group, date, valid_records, and checked_records."},{"title":"Compliance audit interval filtering","prompt":"For my compliance audit, I need to know which conformity records have checked_records between 500 and 50000. Also show me the frequency of each dataset_group in the full dataset. I have about 80 rows to check."},{"title":"Schema validation monitoring dashboard","prompt":"We're building a monitoring dashboard and need two things from our conformity records: the frequency distribution across dataset_groups, and a filtered view of valid_records where values are between 0 and 200. Can you run both reports on our 200 rows of daily validation data?"}],"resultDescription":"Returns two independent analytical reports: (1) category frequency counts showing how often each dataset_group appears in the supplied rows, and (2) a filtered subset of rows where the selected numeric field (valid_records or checked_records) falls within the specified minimum–maximum interval. Both reports operate on the same supplied dataset of up to 200 rows.","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 row-level errors","Minimum value greater than maximum value yields an empty interval filter result","Non-conforming date format (not YYYY-MM-DD) may cause parsing errors","Null numeric values in valid_records or checked_records may be excluded from interval filtering","Payment failure (insufficient USDC) blocks endpoint access"],"whenToPreferThis":"Choose this endpoint when you have pre-collected schema conformity records (valid_records, checked_records) and need both a categorical frequency breakdown by dataset_group AND a numeric range filter on one metric in a single API call. It is ideal for data quality teams running batch analysis on up to 200 rows without needing live lookups or external data enrichment. Prefer this over generic analytics tools when you want two co-located reports (frequency + interval filter) at minimal cost ($0.01 USDC) on structured conformity data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T00:46:39.235Z","isFirstParty":false,"canonicalSlug":"schema-conformity-analytics-category-frequencies-numeric-interval-6047e16b"}