{"uid":"cap_ItnvF7yKT1umEtrnc0JG0","slug":"schema-conformity-analytics-record-quality-audit-string-normalisation-17e890a9","name":"Schema Conformity Analytics — Record Quality Audit, String Normalisation & Grouped Numeric Summary","description":"Schema conformity — Record quality audit + String normalisation + Grouped numeric summary: Record quality audit + String normalisation + Grouped numeric summary 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-02-194?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_aXatkEoACxd8-9LLOEv4L","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 local analytical reports on schema conformity data: a record quality audit, string normalisation, and grouped numeric summary — for up to 200 rows of valid_records/checked_records data.","exampleAgentPrompt":"Run a record quality audit, string normalisation, and grouped numeric summary on these schema conformity rows — I have 4 rows across two dataset groups (group-a and group-b) with valid_records and checked_records values, and I want to analyse valid_records.","exampleUseCases":[{"title":"Data pipeline quality audit","prompt":"I have 50 rows of daily schema conformity data across 5 dataset groups — can you run a quality audit on the valid_records field and give me a grouped numeric summary so I can see which groups have the most issues?"},{"title":"Normalising group labels in conformity data","prompt":"My conformity tracking export has messy string values in the dataset_group column — run the string normalisation report on my 120 rows so I can see what needs cleaning before I load it into the warehouse."},{"title":"Summarising checked_records by group","prompt":"Can you give me a grouped numeric summary of checked_records across all my dataset groups? I've got 80 rows covering October 2026 and want to see totals and stats broken down by group."}],"resultDescription":"Three independent analytical reports: (1) a record quality audit flagging issues across rows, (2) a string normalisation report for text fields, and (3) a grouped numeric summary aggregating the chosen numeric field (valid_records or checked_records) by dataset_group — all computed locally from the supplied rows with no external data lookups.","failureModes":["Fewer than 1 row or more than 200 rows submitted — request rejected","Missing required fields (row_id, dataset_group, date, valid_records, checked_records) — validation error","Invalid date format (not YYYY-MM-DD) — schema rejection","row_id exceeds 80 characters — rejected","Numeric values outside allowed range (-1e12 to 1e12) — validation error","Invalid field enum value (not valid_records or checked_records) — rejected"],"whenToPreferThis":"Choose this endpoint when you need three bundled analytical reports (quality audit, string normalisation, grouped numeric summary) on schema conformity data in a single cost-effective call. It is best suited for offline/batch analysis of up to 200 rows of supplied data where no live data lookup, prediction, or external action is required. At $0.01 USDC for all three reports it is highly economical for data quality pipeline checks.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-14T00:37:10.280Z","isFirstParty":false,"canonicalSlug":"schema-conformity-analytics-record-quality-audit-string-normalisation-17e890a9"}