{"uid":"cap_iPkw-VNUOXysk-Qvcirn5","slug":"schema-conformity-numeric-row-ordering-adjacent-row-changes-67d254da","name":"Schema Conformity — Numeric Row Ordering + Adjacent Row Changes","description":"Schema conformity — Numeric row ordering + Adjacent row changes: Numeric row ordering + Adjacent row changes 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-02-116?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_MpvtT7zSx24ITR_-EZSFt","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 numeric row ordering and adjacent row change reports for valid_records and checked_records fields across up to 200 rows.","exampleAgentPrompt":"Can you run a numeric row ordering and adjacent row changes analysis on my schema conformity data? I have rows for group-a and group-b from 2026-10-01 to 2026-10-04 with valid_records values of 10, 20, 15, 30 and checked_records of 1, 2, 3, 4 — analyze the valid_records field.","exampleUseCases":[{"title":"Audit daily record validation trends","prompt":"I have 30 days of schema conformity logs with valid_records and checked_records per day — can you check if the valid_records are in correct numeric order and show me what changed between consecutive rows?"},{"title":"Detect ordering anomalies in QA dataset","prompt":"My QA pipeline produces daily conformity snapshots across two dataset groups. Can you run a numeric row ordering report plus adjacent row change analysis on checked_records to spot any anomalies?"},{"title":"Compare group conformity sequences","prompt":"I've got conformity records for group-a and group-b mixed together by date. Can you analyze whether valid_records follow a consistent numeric order and highlight where adjacent row values jump significantly?"}],"resultDescription":"Returns two independent analytical reports: (1) a numeric row ordering report showing how rows rank or sequence by the selected field, and (2) an adjacent row changes report showing the delta or change between each consecutive row for the selected field (valid_records or checked_records). Both reports are computed locally with no external lookups.","failureModes":["Rows array empty or missing — minItems:1 violation returns validation error","More than 200 rows submitted — maxItems:200 exceeded returns rejection","Invalid date format (not YYYY-MM-DD) causes row-level validation failure","Null values in valid_records or checked_records may affect ordering/delta calculations","Invalid field enum value (not 'valid_records' or 'checked_records') returns error","Missing required fields (row_id, date, dataset_group) causes row rejection"],"whenToPreferThis":"Choose this endpoint when you need two specific analytical reports — numeric row ordering and adjacent row changes — on schema conformity data (valid_records, checked_records) for up to 200 rows in a single low-cost call. It is ideal for data quality pipelines that need to audit record sequencing and detect row-to-row fluctuations without any external lookups or live data connections. Prefer alternatives if you need more than 2 report types, more than 200 rows, or different metrics beyond valid_records and checked_records.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-11T12:48:36.908Z","isFirstParty":false,"canonicalSlug":"schema-conformity-numeric-row-ordering-adjacent-row-changes-67d254da"}