{"uid":"cap_HKpKKN83nB94PCRj-XFAH","slug":"schema-conformity-analytics-category-frequencies-adjacent-row-changes-4d51775a","name":"Schema Conformity Analytics: Category Frequencies + Adjacent Row Changes","description":"Schema conformity — Category frequencies + Adjacent row changes: Category frequencies + Adjacent row changes 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-02-104?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_g2Wjnc9jF8t-LEU--2ZoN","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 two local analytical reports: category frequency distributions by dataset_group and adjacent-row change detection, for up to 200 rows.","exampleAgentPrompt":"I have up to 200 rows of schema conformity records with row_id, dataset_group, date, valid_records, and checked_records — can you run the category frequency and adjacent row change reports on the valid_records field for me?","exampleUseCases":[{"title":"Data quality audit group breakdown","prompt":"Here are 150 rows of schema conformity logs with dataset_group, date, valid_records, and checked_records — give me a frequency breakdown of how often each dataset group appears and show me where valid_records changes between adjacent rows."},{"title":"Detecting validation drift over time","prompt":"I have daily schema conformity records for the past 6 months and I want to see how checked_records shifts from one row to the next and which dataset groups dominate the dataset — can you run those two reports on the checked_records field?"},{"title":"Data pipeline conformity review","prompt":"We just finished a batch validation run and I have the results as 80 rows with row_id, dataset_group, date, valid_records, and checked_records — please analyze category frequencies by group and flag any adjacent row changes in valid_records."}],"resultDescription":"Returns two analytical reports computed locally on the supplied rows: (1) a category frequency table showing how often each dataset_group value appears across the submitted rows, and (2) an adjacent row change report showing where the selected field (valid_records or checked_records) differs between consecutive rows, including the magnitude of change.","failureModes":["Fewer than 1 row submitted — validation error","More than 200 rows submitted — request rejected or truncated","Missing required fields (row_id, dataset_group, date, valid_records, checked_records) — schema validation failure","Invalid date format (must match YYYY-MM-DD) — pattern validation error","field enum value not 'valid_records' or 'checked_records' — rejected","Null numeric values may affect adjacent change calculations"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of schema conformity data (with valid_records and checked_records) and need two lightweight, locally computed analytical summaries — category frequencies by group and row-to-row change detection — without requiring live lookups, ML predictions, or external integrations. It is cost-effective at $0.01 USDC for both reports simultaneously.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T00:47:10.860Z","isFirstParty":false,"canonicalSlug":"schema-conformity-analytics-category-frequencies-adjacent-row-changes-4d51775a"}