{"uid":"cap_LagDOvYpPcnrqDUzpXUlM","slug":"schema-conformity-record-quality-audit-grouped-numeric-summary-72dab794","name":"Schema Conformity Record Quality Audit + Grouped Numeric Summary","description":"Schema conformity — Record quality audit + Grouped numeric summary: Record quality audit + Grouped numeric summary 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-02-005?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_5kgQJd2vlD0Nob6HxGnoM","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 on schema conformity data: a record quality audit and a grouped numeric summary for valid_records or checked_records fields, covering up to 200 rows.","exampleAgentPrompt":"Can you run a record quality audit and grouped numeric summary on my schema conformity data? I have 4 rows across two dataset groups — group-a and group-b — with dates from 2026-10-01 to 2026-10-04, and I want the analysis focused on the valid_records field.","exampleUseCases":[{"title":"Daily data pipeline quality review","prompt":"I have my daily schema conformity logs for the past week — each row has a date, a dataset group, valid_records, and checked_records. Can you run a quality audit and grouped numeric summary on them, focusing on the valid_records field, so I can see which groups are underperforming?"},{"title":"Multi-team dataset validation benchmarking","prompt":"We have conformity records from three different teams — each tagged with a dataset_group — for the month of October. Can you audit the record quality and give me a grouped numeric summary using checked_records so I can benchmark how each team is doing?"},{"title":"ETL output conformity spot-check","prompt":"After our ETL run last night we captured 50 rows of schema conformity results across several pipeline groups. Can you do a record quality audit and a grouped numeric summary on those rows using the valid_records field to help us spot any anomalies?"}],"resultDescription":"Returns two reports: (1) a record quality audit flagging issues or anomalies per row, and (2) a grouped numeric summary aggregating the chosen field (valid_records or checked_records) by dataset_group, all computed locally without external lookups.","failureModes":["Missing required fields (row_id, date, dataset_group, valid_records, checked_records) causes validation error","More than 200 rows submitted exceeds the row limit and is rejected","Invalid date format (not YYYY-MM-DD) triggers a schema validation error","Null values in the selected numeric field may affect summary statistics","Invalid field enum value (not 'valid_records' or 'checked_records') causes rejection"],"whenToPreferThis":"Choose this endpoint when you have up to 200 schema conformity records with valid_records and checked_records fields and need both a per-row quality audit and a grouped numeric summary in a single low-cost call. Ideal for lightweight, local analytical checks on validation pipeline output without requiring an external database or prediction service.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T00:47:17.149Z","isFirstParty":false,"canonicalSlug":"schema-conformity-record-quality-audit-grouped-numeric-summary-72dab794"}