{"uid":"cap_tGiBq8-MQrPVbPPjVb7mJ","slug":"schema-conformity-analytics-record-quality-audit-string-normalisation-b5382b50","name":"Schema Conformity Analytics: Record Quality Audit + String Normalisation + Daily Sum Series","description":"Schema conformity — Record quality audit + String normalisation + Daily sum series: Record quality audit + String normalisation + Daily sum series for supplied schema conformity records (valid_records, checked_records). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-analytics-02-198?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_D5YKHGdX8SHe4sVp1rWzy","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 three offline analytical reports on schema conformity data — a record quality audit, string normalisation, and daily sum series — for up to 200 rows of valid/checked record counts.","exampleAgentPrompt":"Can you run the three-report schema conformity analytics — record quality audit, string normalisation, and daily sum series — on my dataset? Here are the rows: [{\"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}], and I want the analysis focused on the valid_records field.","exampleUseCases":[{"title":"Daily pipeline conformity audit","prompt":"I have 50 rows of schema conformity logs from my data pipeline — each row has a date, dataset group, valid record count, and checked record count. Can you run the record quality audit, string normalisation, and daily sum series reports on them, focused on valid_records?"},{"title":"Multi-group record validation summary","prompt":"We track checked_records and valid_records across two dataset groups — group-a and group-b — over the past month. Can you generate the quality audit, string normalisation, and daily sum series for those 30 rows so we can spot conformity issues?"},{"title":"Schema health check before data release","prompt":"Before we publish this dataset, I need to run a quality audit, string normalisation, and daily sum series on these 80 schema conformity records using the checked_records field. Can you do all three reports at once?"}],"resultDescription":"Returns three independent analytical reports computed locally against the submitted rows: (1) a record quality audit assessing the validity and completeness of the supplied schema conformity records, (2) a string normalisation report standardising text fields such as dataset_group, and (3) a daily sum series aggregating the chosen numeric field (valid_records or checked_records) by date. All outputs are derived solely from the supplied data with no external lookups.","failureModes":["Submitting more than 200 rows returns a validation error","Missing required fields (row_id, date, valid_records, checked_records) causes row rejection","Invalid date format (not YYYY-MM-DD) fails schema validation","Numeric values outside ±1,000,000,000,000 are rejected","Empty rows array returns an error","Selecting a field value not in the enum (valid_records, checked_records) causes a validation failure"],"whenToPreferThis":"Choose this endpoint when you need three complementary offline analytical reports — quality audit, string normalisation, and daily aggregation — on schema conformity data in a single low-cost call. Ideal for data pipeline monitoring, pre-release dataset health checks, or batch conformity summaries where no live lookup, prediction, or external data enrichment 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":"2026-10-14T00:37:11.056Z","isFirstParty":false,"canonicalSlug":"schema-conformity-analytics-record-quality-audit-string-normalisation-b5382b50"}