{"uid":"cap_ZpPqVXWjbW6xdTnRuKiz6","slug":"schema-conformity-analytics-record-quality-audit-exact-row-0d763ab8","name":"Schema Conformity Analytics: Record Quality Audit, Exact Row Deduplication & Adjacent Row Changes","description":"Schema conformity — Record quality audit + Exact row deduplication + Adjacent row changes: Record quality audit + Exact row deduplication + Adjacent row changes 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-02-217?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_h42td_fH5KXYYvhOJLBTK","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, exact row deduplication, and adjacent row change detection — for up to 200 rows.","exampleAgentPrompt":"Can you run a full quality audit, exact deduplication check, and adjacent row change analysis on my schema conformity dataset — here are 4 rows with fields row_id, dataset_group, date, valid_records, and checked_records — and report on the valid_records field?","exampleUseCases":[{"title":"Data quality audit for conformity pipeline","prompt":"I have a list of up to 50 schema conformity records with columns row_id, dataset_group, date, valid_records, and checked_records. Can you run a record quality audit on them and flag any bad rows, focusing on the valid_records field?"},{"title":"Deduplication check on conformity log","prompt":"Can you check this batch of schema conformity records for exact duplicate rows? I have around 80 entries with row_id, dataset_group, date, valid_records, and checked_records — run the deduplication report for the checked_records field."},{"title":"Detect day-over-day changes in conformity metrics","prompt":"I want to see how my checked_records values are changing between consecutive rows in my conformity dataset — run the adjacent row change report on these 120 rows so I can spot sudden spikes or drops."}],"resultDescription":"Three independent analytical reports delivered together: (1) a record quality audit identifying problematic or anomalous rows, (2) an exact row deduplication report flagging identical entries, and (3) an adjacent row change report showing value differences between consecutive rows — all computed locally on the supplied data for up to 200 rows.","failureModes":["Input array exceeds 200 rows — request will be rejected","Missing required fields (row_id, date, valid_records, checked_records) cause validation errors","Invalid date format (must be YYYY-MM-DD) triggers schema rejection","Numeric values outside allowed range (-1e12 to 1e12) are rejected","Empty rows array (minItems: 1) causes failure","Invalid field enum value (must be 'valid_records' or 'checked_records') causes rejection"],"whenToPreferThis":"Choose this endpoint when you need three simultaneous analytical reports on schema conformity data (quality audit, deduplication, and adjacent change detection) in a single cost-efficient call ($0.01 USDC). It is ideal for offline or batch data quality workflows where no live lookups or external validation are needed. Prefer it over single-report endpoints when all three analyses are relevant to your conformity dataset.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:58:08.374Z","isFirstParty":false,"canonicalSlug":"schema-conformity-analytics-record-quality-audit-exact-row-0d763ab8"}