{"uid":"cap_nYIY23cgAq1V_ghP-kkSV","slug":"null-coverage-analytics-numeric-distribution-trailing-mean-series-dc6ad86a","name":"Null Coverage Analytics: Numeric Distribution + Trailing Mean Series","description":"Null coverage — Numeric distribution + Trailing mean series: Numeric distribution + Trailing mean series for supplied null coverage records (missing_values, total_values). 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-03-076?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_CCNx_G2fUNoJMGjz8xe9W","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":"Computes numeric distribution and trailing mean series for null coverage records (missing_values, total_values) across up to 200 rows using local analytical engines.","exampleAgentPrompt":"Run a null coverage analysis on my dataset — I have 50 rows with missing_values and total_values per date and dataset_group. Give me both the numeric distribution and a trailing mean series using a window of 5 for the missing_values field.","exampleUseCases":[{"title":"Data quality audit for ETL pipeline","prompt":"I have 120 rows of ETL run logs with missing_values and total_values per date and dataset group. Can you compute the numeric distribution and trailing mean series with a window of 10 for the missing_values field so I can audit data quality trends?"},{"title":"Monthly null coverage trend report","prompt":"Here are 80 rows of monthly null coverage records across different dataset groups. Generate both the numeric distribution and a trailing mean series with window size 7 on total_values so I can see how completeness is trending."},{"title":"Comparing null rates across dataset groups","prompt":"I want to compare null coverage across my dataset groups — I have 40 rows with missing_values and total_values. Can you run the numeric distribution and trailing mean series with a window of 3 on missing_values?"}],"resultDescription":"Two analytical reports: (1) a numeric distribution of the selected field (missing_values or total_values) across submitted rows, and (2) a trailing mean series computed over a configurable window — both generated locally from the supplied data with no external lookups.","failureModes":["Fewer than 1 or more than 200 rows submitted — validation error","Window size smaller than 2 or larger than 200 — validation error","Missing required fields (row_id, date, missing_values, total_values) — schema error","Invalid date format (not YYYY-MM-DD) — pattern validation error","Field enum value not 'missing_values' or 'total_values' — enum error","Payment of 0.01 USDC not completed — 402 Payment Required"],"whenToPreferThis":"Choose this endpoint when you need both a numeric distribution and a trailing mean series computed together on null coverage data (missing_values, total_values) in a single low-cost call. Ideal for data quality monitoring, ETL auditing, or completeness trend analysis where you supply your own rows and want purely local computation with no external API dependencies.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-16T06:54:58.571Z","isFirstParty":false,"canonicalSlug":"null-coverage-analytics-numeric-distribution-trailing-mean-series-dc6ad86a"}