{"uid":"cap_WtATyV8P2rZl3vrNpc_z1","slug":"schema-conformity-numeric-distribution-grouped-numeric-summary-6e74b7c4","name":"Schema Conformity Numeric Distribution & Grouped Numeric Summary","description":"Schema conformity — Numeric distribution + Grouped numeric summary: Numeric distribution + Grouped numeric summary 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-02-071?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_POuzymu7uuCAm4mDRRX3h","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 a numeric distribution report and a grouped numeric summary report for up to 200 rows.","exampleAgentPrompt":"Can you run a numeric distribution and grouped numeric summary 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 pipeline conformity audit","prompt":"I need to analyze my schema conformity logs from last week — I have up to 150 rows with valid_records and checked_records per dataset group and date. Can you give me a numeric distribution plus a grouped summary broken down by dataset_group for the valid_records field?"},{"title":"Comparing record validity across pipeline stages","prompt":"I have conformity records from two dataset groups — 'raw_ingest' and 'transformed' — with checked_records and valid_records for each day this month. Can you run both a distribution analysis and a grouped numeric summary on the checked_records field so I can see where validation is failing?"},{"title":"Monitoring schema pass rates over time","prompt":"I've got 80 rows of schema conformity data with valid_records and checked_records across multiple groups and dates. Can you produce the numeric distribution and the grouped numeric summary for valid_records so I can spot any outliers?"}],"resultDescription":"Returns two analytical reports: (1) a numeric distribution breakdown of the selected field (valid_records or checked_records) across all supplied rows, and (2) a grouped numeric summary of the same field partitioned by dataset_group — both computed locally against the supplied data with no external lookups.","failureModes":["Rows array empty or missing — validation error returned","More than 200 rows supplied — request rejected at maxItems limit","Invalid date format (not YYYY-MM-DD) — schema validation failure","Field value outside allowed numeric range (±1 trillion) — rejected","Missing required fields (row_id, dataset_group, date, valid_records, checked_records) — schema error","Invalid field selector (not 'valid_records' or 'checked_records') — enum validation error"],"whenToPreferThis":"Choose this endpoint when you have a batch of up to 200 schema conformity records (with valid_records and checked_records fields) and need both a distribution analysis and a grouped summary in a single low-cost call ($0.01 USDC). Ideal for data quality monitoring pipelines where you want to understand how valid records are distributed and how they vary across dataset groups, without needing external data lookups or predictive analytics.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:41:09.656Z","isFirstParty":false,"canonicalSlug":"schema-conformity-numeric-distribution-grouped-numeric-summary-6e74b7c4"}