{"uid":"cap_s_vOA0JIKuaECZLNsBR6R","slug":"validation-rule-results-record-quality-audit-daily-sum-series-6c42abb8","name":"Validation Rule Results — Record Quality Audit + Daily Sum Series","description":"Validation rule results — Record quality audit + Daily sum series: Record quality audit + Daily sum series for supplied validation rule results records (passed_rules, total_rules). 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-08-009?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","passed_rules","total_rules"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"total_rules":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"passed_rules":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","total_rules":1,"passed_rules":10,"dataset_group":"group-a"},{"date":"2026-10-02","row_id":"row-2","total_rules":2,"passed_rules":20,"dataset_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","total_rules":3,"passed_rules":15,"dataset_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","total_rules":4,"passed_rules":30,"dataset_group":"group-b"}],"maxItems":200,"minItems":1},"field":{"enum":["passed_rules","total_rules"],"type":"string","default":"passed_rules"}}},"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_zyT8hrTW2TxC5j_RnxTM3","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":"Runs two local analytical reports (record-level quality audit and daily sum time series) on up to 200 validation rule result rows containing passed_rules and total_rules fields.","exampleAgentPrompt":"Can you run a record quality audit and daily sum series on my validation rule results? I've got up to 50 rows with row_id, dataset_group, date, passed_rules, and total_rules — analyze the passed_rules field and give me both the quality audit and the daily aggregated totals.","exampleUseCases":[{"title":"Daily pipeline validation health check","prompt":"I have validation rule results from our ETL pipeline for the past two weeks — each row has a date, dataset_group, passed_rules, and total_rules. Can you audit the record quality and show me the daily sum series for passed_rules so I can spot which days had the most failures?"},{"title":"Dataset group quality comparison","prompt":"We ran data quality checks across three dataset groups last month and logged passed_rules and total_rules for each row. Can you give me a record quality audit plus the daily totals for total_rules so I can compare compliance across groups?"},{"title":"Pre-release data validation review","prompt":"Before we ship this dataset, I need to audit 120 rows of validation rule results — each has a date, row_id, group name, passed_rules, and total_rules. Run both the quality audit and the daily sum series on passed_rules and flag anything that looks off."}],"resultDescription":"Returns two independent analytical reports: (1) a record-level quality audit covering completeness and validity of each row's passed_rules/total_rules values, and (2) a daily sum time series aggregating the selected field (passed_rules or total_rules) by date across all supplied rows. Up to 200 rows processed per call.","failureModes":["Exceeding 200 rows returns a validation error","Rows missing required fields (row_id, date, dataset_group, passed_rules, total_rules) are rejected","Dates not matching YYYY-MM-DD pattern fail schema validation","Numeric values outside ±1,000,000,000,000 are rejected","Empty rows array returns an error","Invalid field enum value (not passed_rules or total_rules) causes request failure"],"whenToPreferThis":"Choose this endpoint when you have tabular validation rule result records (with passed_rules and total_rules columns) and need both a per-record quality audit and a daily aggregated time series in a single low-cost call. It is ideal for small-to-medium batches (up to 200 rows) where you want offline, deterministic analytics without external lookups or predictions. Prefer it over general-purpose analytics when your data is already structured around rule pass/fail counts grouped by date and dataset group.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-14T00:37:15.229Z","isFirstParty":false,"canonicalSlug":"validation-rule-results-record-quality-audit-daily-sum-series-6c42abb8"}