{"uid":"cap__eiBFcHBNEgOJyAt37qwL","slug":"schema-conformity-numeric-distribution-numeric-interval-filter-4ddbb8d7","name":"Schema Conformity — Numeric Distribution + Numeric Interval Filter","description":"Schema conformity — Numeric distribution + Numeric interval filter: Numeric distribution + 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-02-074?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_ihpISgWpe8gNBTE4HL5hZ","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 by computing a numeric distribution and applying a numeric interval filter on valid_records or checked_records fields across up to 200 rows.","exampleAgentPrompt":"Analyze the distribution of valid_records in my schema conformity dataset and also filter rows where valid_records falls between 10 and 150 — here are my rows: group-a on 2026-10-01 had 45 valid and 50 checked, group-b on 2026-10-02 had 120 valid and 130 checked, group-a on 2026-10-03 had 8 valid and 10 checked.","exampleUseCases":[{"title":"Data quality audit by record range","prompt":"I have 50 rows of schema conformity data with valid_records and checked_records. Can you compute the numeric distribution of valid_records and also show me only the rows where valid_records falls between 0 and 100? Here's my dataset: [row-1, pipeline-A, 2026-09-01, 80 valid, 100 checked], [row-2, pipeline-B, 2026-09-02, 15 valid, 200 checked], [row-3, pipeline-A, 2026-09-03, 300 valid, 350 checked]."},{"title":"Monitoring conformity outliers by interval","prompt":"For my daily conformity monitoring, run a numeric distribution and interval filter on checked_records for these rows — set the interval minimum to 50 and maximum to 500. Rows: [chk-1, etl-group, 2026-08-10, 200 valid, 210 checked], [chk-2, etl-group, 2026-08-11, 30 valid, 40 checked], [chk-3, batch-group, 2026-08-12, 600 valid, 620 checked]."},{"title":"Cross-group distribution comparison","prompt":"I want to compare distribution stats for valid_records across two dataset groups and filter to rows where valid_records is between 5 and 250. My rows are: [r1, group-alpha, 2026-07-01, 100 valid, 110 checked], [r2, group-beta, 2026-07-02, 3 valid, 50 checked], [r3, group-alpha, 2026-07-03, 200 valid, 205 checked], [r4, group-beta, 2026-07-04, 400 valid, 420 checked]."}],"resultDescription":"Returns two analytical reports: (1) a numeric distribution summary of the selected field (valid_records or checked_records) across the supplied rows, and (2) a filtered subset of rows where the selected field falls within the specified minimum–maximum interval, both computed locally without external lookups.","failureModes":["Missing required fields (row_id, date, dataset_group) cause validation errors","Rows exceeding 200 items are rejected","Date values not matching YYYY-MM-DD pattern are rejected","Numeric values outside ±1,000,000,000,000 are rejected","minimum greater than maximum may yield empty interval filter results","Empty rows array (minItems:1 not met) returns an error"],"whenToPreferThis":"Choose this endpoint when you have schema conformity data (valid_records, checked_records) already in hand and need both a distribution summary and an interval filter in a single call for up to 200 rows. It is ideal for offline/batch data quality analysis where no live data fetch or external enrichment is needed, and where cost-efficiency ($0.01 for two reports) matters.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:41:04.273Z","isFirstParty":false,"canonicalSlug":"schema-conformity-numeric-distribution-numeric-interval-filter-4ddbb8d7"}