{"uid":"cap_ov6D3glpqCIezDSXIKOYw","slug":"schema-conformity-analytics-record-quality-audit-exact-row-dc1d9d7a","name":"Schema Conformity Analytics — Record Quality Audit, Exact Row Deduplication & Trailing Mean Series","description":"Schema conformity — Record quality audit + Exact row deduplication + Trailing mean series: Record quality audit + Exact row deduplication + Trailing mean series 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-02-216?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"},"window":{"type":"integer","default":2,"maximum":200,"minimum":2}}},"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_W9rxE2X067HF1zADMZW1C","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 independent analytical reports (record quality audit, exact row deduplication, and trailing mean series) on user-supplied schema conformity data (valid_records, checked_records) for up to 200 rows.","exampleAgentPrompt":"Run all three schema conformity reports — record quality audit, exact row deduplication, and trailing mean series — on my dataset with these rows: group-a had 100 valid_records out of 120 checked on 2024-01-01, group-b had 80 valid out of 95 checked on 2024-01-02; use valid_records as the field and a window of 2.","exampleUseCases":[{"title":"Data pipeline validation audit","prompt":"I have a week's worth of schema conformity logs across two dataset groups — can you run a full record quality audit, deduplicate any repeated rows, and compute a trailing mean of valid_records with a window of 3? Here are the rows: group-a: 2024-03-01 valid=500 checked=550, 2024-03-02 valid=480 checked=540, group-b: 2024-03-01 valid=300 checked=310, 2024-03-02 valid=300 checked=310."},{"title":"Duplicate detection in compliance logs","prompt":"My compliance team uploaded schema conformity records and I suspect some rows were logged twice. Can you run the exact row deduplication report on these entries and also give me the record quality audit? Data: row-1 group-a 2024-05-10 valid=200 checked=220, row-2 group-a 2024-05-10 valid=200 checked=220, row-3 group-b 2024-05-11 valid=150 checked=160."},{"title":"Rolling average trend analysis","prompt":"I want to track how my checked_records metric has been trending — can you calculate the trailing mean series with a window of 4 on this schema conformity data and also run the quality audit? Rows span 2024-06-01 through 2024-06-06 for dataset group 'etl-pipeline' with checked_records values of 400, 420, 390, 410, 430, 405."}],"resultDescription":"Returns three independent analytical reports: (1) a record quality audit summarizing valid vs checked record counts and quality ratios per group/date, (2) an exact row deduplication report identifying and removing perfectly identical rows, and (3) a trailing mean series computing a rolling average of the selected field (valid_records or checked_records) over the specified window size — all computed locally on the supplied data without any external lookups.","failureModes":["Fewer than 1 row supplied — validation error","More than 200 rows submitted — rejected with maxItems error","Missing required fields (row_id, dataset_group, date, valid_records, checked_records) — schema validation failure","Date field does not match YYYY-MM-DD pattern — rejected","Window value outside 2–200 range — validation error","Field value not one of 'valid_records' or 'checked_records' — enum validation error","All rows are null for the selected field — trailing mean may return empty or null series"],"whenToPreferThis":"Choose this endpoint when you have tabular schema conformity data (valid/checked record counts) and need all three of: a quality audit, deduplication, and a rolling mean — in a single low-cost call. Ideal for batch data quality checks on up to 200 rows without needing live external data, predictions, or professional assessments. Not suitable if you need real-time data ingestion, machine learning predictions, or reports on fields beyond valid_records and checked_records.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-14T00:37:00.799Z","isFirstParty":false,"canonicalSlug":"schema-conformity-analytics-record-quality-audit-exact-row-dc1d9d7a"}