{"uid":"cap_Y12V93AaR6L88y_9tx56d","slug":"null-coverage-analytics-exact-row-deduplication-and-two-measure-37dfc72b","name":"Null Coverage Analytics: Exact Row Deduplication and Two-Measure Correlation","description":"Null coverage — Exact row deduplication + Two-measure correlation: Exact row deduplication + 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-03-050?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_mVaMbqB0b2lm3SFvtNmDf","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":"Deduplicates rows and computes correlation between missing_values and total_values for null coverage datasets, producing two analytical reports for up to 200 supplied rows.","exampleAgentPrompt":"I have a null coverage dataset with up to 50 rows — each with a row_id, dataset_group, date, missing_values, and total_values — can you deduplicate the rows exactly and then compute the correlation between missing_values and total_values, giving me two reports?","exampleUseCases":[{"title":"Data quality audit for ETL pipeline","prompt":"I'm auditing our ETL pipeline's data quality — here are 120 rows with row_id, dataset_group, date, missing_values, and total_values. Can you deduplicate them exactly and then run a correlation analysis between missing_values and total_values and give me both reports?"},{"title":"Null rate correlation across dataset groups","prompt":"I have two dataset groups — 'group-a' and 'group-b' — with 80 rows total tracking null rates over time. Can you remove any exact duplicate rows and tell me how strongly missing_values and total_values are correlated across those records?"},{"title":"Monthly missing value trend deduplication","prompt":"Our data team collected daily null coverage stats for October with 40 rows like {row_id, date, dataset_group, missing_values, total_values}. Please deduplicate them and compute the two-measure correlation so we can see if higher total values relate to more missing entries."}],"resultDescription":"Returns two analytical reports: (1) an exact row deduplication result showing unique records from the supplied rows, and (2) a correlation analysis between the missing_values and total_values measures across those rows. No external data sources, predictions, or live lookups are involved — all computation is performed on the supplied data locally.","failureModes":["More than 200 rows submitted — exceeds the maxItems limit and will be rejected","Missing required fields (row_id, date, missing_values, total_values) on any row will cause validation failure","Date strings not matching YYYY-MM-DD pattern will fail schema validation","Null or non-numeric values for missing_values or total_values may affect correlation computation","Submitting fewer than 1 row will fail the minItems constraint"],"whenToPreferThis":"Choose this endpoint when you need a combined deduplication and two-measure correlation report on null coverage records (missing_values vs total_values) for up to 200 rows, without any need for external data enrichment, live lookup, or prediction. It is ideal for offline data quality assessments where a flat per-call fee covering both reports is cost-effective.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-14T00:37:08.549Z","isFirstParty":false,"canonicalSlug":"null-coverage-analytics-exact-row-deduplication-and-two-measure-37dfc72b"}