{"uid":"cap_nwP-yNASrxwQ22Iw8q_21","slug":"schema-conformity-numeric-row-ordering-and-interval-filter-analytics-b55aa120","name":"Schema Conformity Numeric Row Ordering and Interval Filter Analytics","description":"Schema conformity — Numeric row ordering + Numeric interval filter: Numeric row ordering + 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-02-113?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_NCnwa30VTkM7PHFdBeMEw","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":"Sorts schema conformity records by numeric field value and filters them to a specified numeric interval, returning up to 2 reports for up to 200 rows.","exampleAgentPrompt":"Sort my schema conformity records by valid_records and filter them to only include rows where valid_records is between 10 and 500 — here are 4 rows: row-1 (group-a, 2026-10-01, valid=10, checked=1), row-2 (group-b, 2026-10-02, valid=20, checked=2), row-3 (group-a, 2026-10-03, valid=15, checked=3), row-4 (group-b, 2026-10-04, valid=30, checked=4).","exampleUseCases":[{"title":"Audit dataset with valid record range filter","prompt":"I have 50 schema conformity audit rows across multiple dataset groups — can you sort them by valid_records and keep only the ones where valid_records is between 100 and 5000? I'll paste the rows now."},{"title":"Identify low checked_records outliers","prompt":"Sort these conformity records by checked_records value and filter to only rows where checked_records is between 0 and 10, so I can spot datasets that barely got checked."},{"title":"Rank groups by conformity metrics within bounds","prompt":"Take my 120 schema conformity records, sort them by valid_records, and filter to only include rows where valid_records falls between 200 and 800 — I want to see which dataset groups are in that mid-range conformity band."}],"resultDescription":"Returns up to 2 analytical reports: one with rows numerically ordered by the selected field (valid_records or checked_records), and one with rows filtered to those whose selected field value falls within the specified minimum–maximum interval. Each report covers the supplied rows up to 200 entries. No external data is fetched; analysis is performed locally on the supplied records.","failureModes":["More than 200 rows submitted — request rejected or truncated","Invalid date format in row (must be YYYY-MM-DD)","Minimum value greater than maximum value — empty interval result","Missing required fields (row_id, valid_records, checked_records) — validation error","Field enum value not recognized — defaults or error returned","Null numeric values in key fields may be excluded or cause unexpected ordering"],"whenToPreferThis":"Choose this endpoint when you have schema conformity records with valid_records and checked_records metrics and need to (1) rank rows numerically by one of those fields and/or (2) filter rows to a specific numeric interval — all in one $0.01 call covering both reports. Ideal for lightweight data quality audits where no external lookup, prediction, or live data is needed and the dataset fits within 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-13T00:42:03.582Z","isFirstParty":false,"canonicalSlug":"schema-conformity-numeric-row-ordering-and-interval-filter-analytics-b55aa120"}