{"uid":"cap_IwZrGMIlvqX_TEINvOq1o","slug":"schema-conformity-category-frequencies-keyed-dataset-comparison-22d07462","name":"Schema Conformity — Category Frequencies + Keyed Dataset Comparison","description":"Schema conformity — Category frequencies + Keyed dataset comparison: Category frequencies + Keyed dataset comparison 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-02-111?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_ksubrgu6M4oKxyT6gNmhF","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":"Analyzes schema conformity records (valid_records, checked_records) to produce category frequency breakdowns and a keyed comparison between two supplied datasets, up to 200 rows each.","exampleAgentPrompt":"I have two batches of schema conformity records — my baseline from last month and this month's run — each with row IDs, dataset groups, dates, valid_records, and checked_records (up to 200 rows each). Can you run a category frequency breakdown and a keyed comparison between the two batches to see where conformity has changed?","exampleUseCases":[{"title":"Monthly schema conformity drift report","prompt":"I have this month's and last month's schema conformity logs, each up to 150 rows with columns row_id, dataset_group, date, valid_records, and checked_records. Run a category frequency breakdown and keyed comparison between the two so I can see which groups have drifted in conformity."},{"title":"Two-pipeline validation rate comparison","prompt":"We have two data pipelines — pipeline A and pipeline B — both producing schema conformity records with valid_records and checked_records per group and date. Can you compare their category frequencies and do a keyed dataset comparison across up to 200 rows each to find where they diverge?"},{"title":"Pre- and post-migration data quality audit","prompt":"After our database migration I want to compare schema conformity before and after: I have two datasets of up to 100 rows each with row_id, dataset_group, date, valid_records, and checked_records. Please give me the category frequencies and a keyed row-by-row comparison of the two."}],"resultDescription":"Returns two independent analytical reports: (1) a category frequency table breaking down valid_records and checked_records counts by dataset_group across all supplied rows, and (2) a keyed dataset comparison aligning rows from the primary and secondary datasets by row_id to surface differences in valid_records and checked_records values. No external lookups or predictions are made — all analysis uses the supplied data only.","failureModes":["Missing required fields (row_id, dataset_group, date, valid_records, checked_records) cause validation errors","Exceeding 200 rows in either array returns an error","Invalid date format (not YYYY-MM-DD) causes schema rejection","Null values in valid_records or checked_records may affect aggregation results","Empty rows array returns an error (minItems: 1)","Mismatched row_ids between primary and comparison datasets may produce empty keyed comparison results"],"whenToPreferThis":"Choose this endpoint when you have two separate batches of schema conformity records (valid_records, checked_records) and need both a grouped frequency summary and a direct keyed row-level comparison in a single low-cost call. It is ideal for data quality audits, pipeline comparisons, and conformity drift analysis where all data is already available locally and no external enrichment or real-time lookup is needed. At $0.01 USDC for both reports covering up to 200 rows, it is cost-effective for routine data governance workflows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:41:09.656Z","isFirstParty":false,"canonicalSlug":"schema-conformity-category-frequencies-keyed-dataset-comparison-22d07462"}