{"uid":"cap_d0CoR7y_aU6M_gLMTfKmq","slug":"schema-conformity-analytics-record-quality-audit-string-normalisation-4de52696","name":"Schema Conformity Analytics — Record Quality Audit, String Normalisation & Keyed Dataset Comparison","description":"Schema conformity — Record quality audit + String normalisation + Keyed dataset comparison: Record quality audit + String normalisation + Keyed dataset comparison 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-02-207?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}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"dataset_group":{"type":"string","default":"","maxLength":80},"valid_records":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"checked_records":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","dataset_group":"group-a","valid_records":10,"checked_records":1},{"date":"2026-10-02","row_id":"row-2","dataset_group":"group-b","valid_records":20,"checked_records":2},{"date":"2026-10-03","row_id":"row-3","dataset_group":"group-a","valid_records":15,"checked_records":3},{"date":"2026-10-04","row_id":"row-4","dataset_group":"group-b","valid_records":30,"checked_records":4}],"maxItems":200,"minItems":1},"other":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","valid_records","checked_records"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","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":21,"checked_records":2},{"date":"2026-10-03","row_id":"row-3","dataset_group":"group-a","valid_records":17,"checked_records":3},{"date":"2026-10-04","row_id":"row-4","dataset_group":"group-b","valid_records":33,"checked_records":4}],"maxItems":200,"minItems":0}}},"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__chKdZQPSz95hePCaVnF0","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 keyed dataset comparison across up to 200 rows.","exampleAgentPrompt":"Can you run a record quality audit, string normalisation, and keyed comparison on my two schema conformity datasets? The primary dataset has rows like row-1 in group-a on 2026-10-01 with valid_records=10 and checked_records=1, and the secondary dataset has the same keys but valid_records=10 and checked_records=2 — up to 4 rows each.","exampleUseCases":[{"title":"Data pipeline conformity regression check","prompt":"I have two snapshots of my schema conformity metrics — last week and this week — each with about 50 rows tagged by dataset_group and date. Can you run a keyed dataset comparison so I can see which row_ids changed their valid_records or checked_records values between the two snapshots?"},{"title":"Record quality audit before ETL handoff","prompt":"Before I hand off this batch to the ETL team, can you run a record quality audit on these 120 schema conformity rows — each has a row_id, dataset_group, date, valid_records, and checked_records — and flag any quality issues?"},{"title":"String normalisation for group labels","prompt":"My dataset_group labels are inconsistent across 80 rows of schema conformity data — can you run string normalisation on them so the group names are cleaned up and standardised before I merge the tables?"}],"resultDescription":"Returns three independent analytical reports computed locally against the supplied data: (1) a record quality audit assessing the validity and completeness of valid_records and checked_records fields, (2) a string normalisation report cleaning and standardising string fields such as dataset_group, and (3) a keyed dataset comparison diffing the primary (rows) and secondary (other) datasets by row_id to surface value-level discrepancies. No external lookups or predictions are made.","failureModes":["Exceeding 200 rows in either dataset array returns a validation error","Missing required fields (row_id, dataset_group, date, valid_records, checked_records) causes row rejection","Malformed date strings not matching YYYY-MM-DD pattern cause schema validation failure","Submitting an empty rows array (minItems:1 violated) returns an error","Numeric values outside ±1,000,000,000,000 bounds cause schema rejection","Payment of 0.01 USDC must be included; missing payment results in 402 response"],"whenToPreferThis":"Choose this endpoint when you need three simultaneous analytical reports — quality audit, string normalisation, and keyed comparison — on schema conformity record data (valid_records, checked_records) in a single low-cost call. It is ideal for batch offline analysis of up to 200 rows where no live data lookup, external enrichment, or prediction is needed. Prefer it over separate single-report endpoints when all three report types are relevant to your conformity dataset workflow.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-14T00:37:17.572Z","isFirstParty":false,"canonicalSlug":"schema-conformity-analytics-record-quality-audit-string-normalisation-4de52696"}