{"uid":"cap_eEPLi92rRLgCHiuS0Erjs","slug":"null-coverage-duplicate-key-report-two-measure-correlation-894909aa","name":"Null Coverage Duplicate Key Report + Two-Measure Correlation","description":"Null coverage — Duplicate key report + Two-measure correlation: Duplicate key report + Two-measure correlation 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-03-066?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}}},"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_o7BSU8dgWlwwW5-WzadQJ","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 null-coverage records to produce a duplicate key report and a two-measure Pearson/rank correlation between missing_values and total_values.","exampleAgentPrompt":"I have 150 rows of null coverage data with row IDs, dataset groups, dates, missing_values, and total_values — can you run a duplicate key report and a two-measure correlation between missing_values and total_values on all of them?","exampleUseCases":[{"title":"Data pipeline completeness audit","prompt":"I've got about 80 rows from our ETL pipeline null coverage log — each has a row_id, dataset_group, date, missing_values, and total_values. Can you check for duplicate row IDs and tell me how correlated the missing value counts are with total values?"},{"title":"Weekly dataset quality review","prompt":"Here are 120 null coverage records from our weekly data quality report. Run a duplicate key check on the row IDs and compute the correlation between missing_values and total_values so I can see if high-volume datasets tend to have more gaps."},{"title":"Multi-group null coverage comparison","prompt":"I have 200 rows covering three dataset groups — group-alpha, group-beta, and group-gamma — with dates, missing_values, and total_values. Can you produce a duplicate key report and a two-measure correlation to summarize how completeness tracks against dataset size?"}],"resultDescription":"Returns two analytical reports: (1) a duplicate key report identifying any row_ids that appear more than once in the supplied records, and (2) a two-measure correlation report showing the statistical relationship between missing_values and total_values across all rows. No external lookups or predictions are made — all analysis is performed locally on the submitted data.","failureModes":["Fewer than 1 row submitted — request rejected","More than 200 rows submitted — exceeds maximum row limit","Missing required fields (row_id, missing_values, total_values) — validation error","Date field does not match YYYY-MM-DD pattern — schema validation failure","Non-numeric values supplied for missing_values or total_values — type error","Payment not provided or insufficient USDC — x402 payment required error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 null-coverage records (rows with missing_values and total_values) and need both a duplicate key check and a statistical correlation between those two measures in a single paid call. It is ideal for data quality workflows where you want to detect duplicate row IDs and quantify how missing data correlates with dataset size without setting up your own analytics infrastructure.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:55:26.160Z","isFirstParty":false,"canonicalSlug":"null-coverage-duplicate-key-report-two-measure-correlation-894909aa"}