{"uid":"cap_wB0NanPJZI2xEWHrQNg-5","slug":"null-coverage-grouped-numeric-summary-secondary-measure-weighted-mean-9beaf45b","name":"Null Coverage Grouped Numeric Summary & Secondary-Measure Weighted Mean","description":"Null coverage — Grouped numeric summary + Secondary-measure weighted mean: Grouped numeric summary + Secondary-measure weighted mean 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-03-096?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"}}},"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_7RCxQSgWtTYcn94pwFgJY","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 grouped numeric summaries and secondary-measure weighted means for null coverage data (missing_values, total_values) across up to 200 rows, returning two independent analytical reports.","exampleAgentPrompt":"I have 4 rows of null coverage data — row-1 (group-a, 2026-10-01, missing_values=10, total_values=1), row-2 (group-b, 2026-10-02, missing_values=20, total_values=2), row-3 (group-a, 2026-10-03, missing_values=15, total_values=3), row-4 (group-b, 2026-10-04, missing_values=30, total_values=4) — can you give me a grouped numeric summary and weighted mean for the missing_values field?","exampleUseCases":[{"title":"Data pipeline completeness audit","prompt":"I have a list of 50 dataset records with missing_values and total_values across two groups — 'raw_ingest' and 'transformed' — can you group them and give me a numeric summary plus weighted mean of missing_values so I can see which pipeline stage has the worst null coverage?"},{"title":"Weekly data quality report by team","prompt":"Every Monday I collect null coverage stats for datasets owned by team-a and team-b. Here are 120 rows with row_id, dataset_group, date, missing_values, and total_values — can you compute a grouped summary and secondary-measure weighted mean on total_values so I can report which team's datasets are cleanest?"},{"title":"Compare null rates across experiment variants","prompt":"I ran an experiment with two variants — 'control' and 'treatment' — and recorded missing_values and total_values for 80 observations. Can you group by dataset_group and give me both a numeric summary and a weighted mean for the missing_values field so I can compare null coverage between variants?"}],"resultDescription":"Two independent analytical reports: (1) a grouped numeric summary (aggregated statistics such as count, sum, mean, min, max per dataset_group for the specified field), and (2) a secondary-measure weighted mean (weighted average of the primary field using the other measure as weights), computed locally with no external lookups — all for up to 200 supplied null coverage rows.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, dataset_group, date, missing_values, total_values) causes rejection","Invalid date format (not YYYY-MM-DD) triggers a pattern validation error","Field value outside allowed numeric range (-1e12 to 1e12) causes schema rejection","Empty rows array returns a minItems validation error","Payment not included or insufficient USDC causes 402 Payment Required"],"whenToPreferThis":"Choose this endpoint when you need grouped aggregate statistics and weighted mean analytics specifically for null coverage records (missing_values, total_values) and want two report types in one $0.01 call. Prefer it over general statistics APIs when your data already fits the null-coverage schema and you want cost-efficient, offline computation without external lookups or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-16T06:55:14.017Z","isFirstParty":false,"canonicalSlug":"null-coverage-grouped-numeric-summary-secondary-measure-weighted-mean-9beaf45b"}