{"uid":"cap_DKp3URjRtn7ReaBLzM9A1","slug":"schema-conformity-analytics-record-quality-audit-string-normalisation-7094fce5","name":"Schema Conformity Analytics — Record Quality Audit, String Normalisation & Duplicate Key Report","description":"Schema conformity — Record quality audit + String normalisation + Duplicate key report: Record quality audit + String normalisation + Duplicate key report 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-02-192?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}}},"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_46zRPrfEj4XxSEzU7qOjY","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 (valid_records, checked_records): a record quality audit, string normalisation, and duplicate key detection — for up to 200 rows.","exampleAgentPrompt":"Can you run a record quality audit, string normalisation, and duplicate key report on my schema conformity dataset? I have rows with row_id, dataset_group, date, valid_records, and checked_records — up to 200 rows — and I want all three reports at once.","exampleUseCases":[{"title":"Monthly conformity data quality check","prompt":"I have my monthly schema conformity export with about 150 rows — each row has a row_id, dataset_group, date, valid_records count, and checked_records count. Can you run the full quality audit, string normalisation, and duplicate key report on it so I can catch any issues before I submit it?"},{"title":"Detecting duplicate keys in ETL output","prompt":"Our ETL pipeline just produced a conformity dataset with row IDs and dataset groups — can you check it for duplicate keys, normalise any inconsistent strings in the dataset_group field, and give me a record quality audit across all the valid_records and checked_records values?"},{"title":"Pre-merge data validation for two dataset groups","prompt":"Before I merge group-a and group-b conformity records, can you run a duplicate key report, string normalisation, and record quality audit on the combined set of up to 200 rows so I know if there are any clashes or dirty strings?"}],"resultDescription":"Returns three independent analytical reports for the supplied rows: (1) a record quality audit flagging anomalies in valid_records and checked_records values, (2) a string normalisation report identifying and correcting inconsistent string formatting in fields like dataset_group, and (3) a duplicate key report identifying repeated row_id or key combinations across the dataset. No external lookups or predictions are made — all analysis is performed locally on the supplied data.","failureModes":["More than 200 rows submitted — request rejected with a row count limit error","Missing required fields (row_id, dataset_group, date, valid_records, checked_records) on any row — validation error returned","Invalid date format (not YYYY-MM-DD) causes row-level rejection","row_id exceeds 80 characters — schema validation failure","Numeric values outside the allowed range (±1,000,000,000,000) cause field-level errors","Empty rows array (minItems:1 violated) returns an error"],"whenToPreferThis":"Choose this endpoint when you need three complementary data quality reports — record quality audit, string normalisation, and duplicate key detection — on schema conformity data (valid_records, checked_records) in a single $0.01 call for up to 200 rows, without requiring any external API calls, live lookups, or predictions. Prefer it over single-report sibling endpoints when you want all three analyses in one batch. Avoid if you need only one report type, need more than 200 rows, or require live data enrichment.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:58:22.838Z","isFirstParty":false,"canonicalSlug":"schema-conformity-analytics-record-quality-audit-string-normalisation-7094fce5"}