{"uid":"cap_8NgztCXMP0aEVqAcE8Egt","slug":"null-coverage-analytics-quality-audit-deduplication-trailing-mean-09e1de0a","name":"Null Coverage Analytics — Quality Audit, Deduplication & Trailing Mean","description":"Null coverage — Record quality audit + Exact row deduplication + Trailing mean series: Record quality audit + Exact row deduplication + Trailing mean series for supplied null coverage records (missing_values, total_values). 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-03-216?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","missing_values","total_values"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"total_values":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80},"missing_values":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","total_values":1,"dataset_group":"group-a","missing_values":10},{"date":"2026-10-02","row_id":"row-2","total_values":2,"dataset_group":"group-b","missing_values":20},{"date":"2026-10-03","row_id":"row-3","total_values":3,"dataset_group":"group-a","missing_values":15},{"date":"2026-10-04","row_id":"row-4","total_values":4,"dataset_group":"group-b","missing_values":30}],"maxItems":200,"minItems":1},"field":{"enum":["missing_values","total_values"],"type":"string","default":"missing_values"},"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_KqDbb7YFpjsyOYAhrL5PU","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 null coverage data: record quality audit, exact row deduplication, and trailing mean series — all computed from supplied rows without any external lookup.","exampleAgentPrompt":"Can you audit my null coverage data for quality issues, find exact duplicate rows, and compute a trailing mean over a window of 3 for the missing_values field? I have up to 50 rows with row_id, dataset_group, date, missing_values, and total_values columns.","exampleUseCases":[{"title":"Data pipeline null coverage audit","prompt":"I need to audit the quality of my null coverage records — can you check for any data issues, find exact duplicate rows, and run a trailing mean with window size 4 on missing_values? Here are my rows with row_id, dataset_group, date, missing_values, and total_values."},{"title":"Deduplication check across dataset groups","prompt":"I have about 80 rows of null coverage data across two dataset groups and I want to identify any exact duplicate rows, get a record quality summary, and see the trailing mean of total_values with a window of 5."},{"title":"Rolling completeness trend for reporting","prompt":"Can you run a trailing mean analysis on my missing_values field with a window of 2, along with a full quality audit and dedup check? I'll supply up to 120 rows with dates, row IDs, group names, missing values, and total values."}],"resultDescription":"Returns three independent reports: (1) a record quality audit summarizing completeness and anomalies in the supplied null coverage rows, (2) an exact row deduplication report identifying duplicate records, and (3) a trailing mean series computed over the specified window for the chosen field (missing_values or total_values). All computations use local analytical engines with no external data sources.","failureModes":["Fewer than 1 row supplied — request rejected","More than 200 rows supplied — exceeds max row limit","Invalid date format (not YYYY-MM-DD) — validation error","Missing required fields (row_id, missing_values, total_values) — schema error","Window size outside 2–200 range — parameter error","Null or non-numeric values in missing_values or total_values may affect trailing mean accuracy"],"whenToPreferThis":"Choose this endpoint when you need three bundled analytical reports — quality audit, deduplication, and rolling mean — on null coverage data (missing vs. total value counts) in a single low-cost call. Ideal for data pipeline monitoring, ETL validation, and dataset health checks where you already have the data locally and need no external enrichment or predictions. Best for datasets up to 200 rows where cost efficiency matters ($0.01 USDC for all three reports).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:58:15.020Z","isFirstParty":false,"canonicalSlug":"null-coverage-analytics-quality-audit-deduplication-trailing-mean-09e1de0a"}