{"uid":"cap_F6HALdJyYW2EueKPCbbmo","slug":"null-coverage-analytics-duplicate-key-report-secondary-measure-2728b9dd","name":"Null Coverage Analytics: Duplicate Key Report + Secondary-Measure Weighted Mean","description":"Null coverage — Duplicate key report + Secondary-measure weighted mean: Duplicate key report + 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-03-067?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_zD1oBejUHqIttN6_Fajyz","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":"Analyzes up to 200 rows of null-coverage data (missing_values, total_values) to produce a duplicate key report and a secondary-measure weighted mean in a single call.","exampleAgentPrompt":"I have 4 rows of null coverage data — row-1 (group-a, 2026-10-01, missing=10, total=1), row-2 (group-b, 2026-10-02, missing=20, total=2), row-3 (group-a, 2026-10-03, missing=15, total=3), row-4 (group-b, 2026-10-04, missing=30, total=4) — can you run a duplicate key report and compute the weighted mean for missing_values on these records?","exampleUseCases":[{"title":"Auditing ETL pipeline for duplicate row IDs","prompt":"I just pulled 150 rows from our ETL pipeline with fields row_id, dataset_group, date, missing_values, and total_values — can you check whether any row IDs are duplicated and also give me the weighted mean of missing_values across all rows?"},{"title":"Data quality review before model training","prompt":"Before I feed this dataset into our model, I need to verify there are no duplicate keys and get a weighted average of total_values — here are my 80 null coverage records with row_id, dataset_group, date, missing_values, and total_values. Can you run both reports?"},{"title":"Comparing null rates across dataset groups","prompt":"I have null coverage records for two dataset groups across Q4 — about 60 rows each with missing_values and total_values — please find any duplicate row IDs and calculate the weighted mean of missing_values so I can compare data completeness across groups."}],"resultDescription":"Returns two analytical reports: (1) a duplicate key report identifying any repeated row_id values across the submitted rows, and (2) a weighted mean of the selected field (missing_values or total_values) using the other numeric column as the weight — all computed locally without external lookups.","failureModes":["More than 200 rows submitted — request rejected or truncated","Missing required fields (row_id, date, missing_values, total_values) — validation error","Invalid date format (not YYYY-MM-DD) — schema validation failure","Null or missing numeric values cause weighted mean to be undefined or skipped","field enum value not recognized — defaults or errors depending on implementation"],"whenToPreferThis":"Use this endpoint when you need both a duplicate-key audit and a weighted mean statistic on null-coverage data (missing_values / total_values) in a single cheap call ($0.01 USDC). Ideal for data quality pipelines, pre-modeling audits, or ETL validation steps where you have up to 200 rows and want offline, local computation without any external data lookups or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-16T06:54:54.023Z","isFirstParty":false,"canonicalSlug":"null-coverage-analytics-duplicate-key-report-secondary-measure-2728b9dd"}