{"uid":"cap_NhquxQm77h8aSV_NzO8ny","slug":"schema-conformity-analytics-daily-sum-series-adjacent-row-changes-d87b9202","name":"Schema Conformity Analytics — Daily Sum Series & Adjacent Row Changes","description":"Schema conformity — Daily sum series + Adjacent row changes: Daily sum series + 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-02-137?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_5ON9SpQA-qZ_Id4a5QGCy","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":"Computes a daily sum time series and adjacent row-to-row change report for schema conformity metrics (valid_records, checked_records) from up to 200 supplied rows, returning two analytical reports per call.","exampleAgentPrompt":"I have 150 rows of schema conformity data with dates, dataset groups, valid_records, and checked_records — can you run both a daily sum series and adjacent row changes report on the valid_records field for me?","exampleUseCases":[{"title":"Daily QA pipeline conformity trending","prompt":"I've got daily schema conformity records for our ETL pipeline across two dataset groups — can you give me the daily sum series and row-over-row changes for valid_records so I can spot where validation started dropping?"},{"title":"Checked records audit delta review","prompt":"Here are 80 rows of schema conformity logs with dates and checked_records counts — run the daily sum series and adjacent row change analysis on checked_records so I can see which days had the biggest jumps."},{"title":"Multi-group conformity comparison over time","prompt":"I have conformity data across four dataset groups spanning 3 months — can you compute the daily totals and consecutive row changes for valid_records so I can compare how each group trended?"}],"resultDescription":"Two analytical reports: (1) a daily sum series aggregating the selected field (valid_records or checked_records) by date, and (2) an adjacent row change report showing the difference between each consecutive row's value — all computed locally from the supplied rows with no external lookups.","failureModes":["Fewer than 1 row supplied — rejected by minItems validation","More than 200 rows supplied — rejected by maxItems constraint","Invalid date format (not YYYY-MM-DD) — schema pattern validation failure","Missing required fields (row_id, dataset_group, date, valid_records, checked_records) — schema validation error","Field selector not one of 'valid_records' or 'checked_records' — enum validation failure","Null values in the selected metric field may produce null deltas or be excluded from sums"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of schema conformity data with date, group, valid_records, and checked_records fields and need both a daily aggregated sum series and sequential row-change analysis in a single low-cost call. Ideal for lightweight data quality trend analysis without needing a full BI platform or live data connection.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T18:49:19.019Z","isFirstParty":false,"canonicalSlug":"schema-conformity-analytics-daily-sum-series-adjacent-row-changes-d87b9202"}