{"uid":"cap_8a5L82gsmYF38LjFZj5nQ","slug":"partnership-pipeline-two-measure-correlation-explicit-missing-value-62c4197f","name":"Partnership Pipeline — Two-Measure Correlation + Explicit Missing-Value Fill","description":"Partnership pipeline — Two-measure correlation + Explicit missing-value fill: Two-measure correlation + Explicit missing-value fill for supplied partnership pipeline records (qualified_partners, active_partners). 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-company-09-184?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","company_group","date","qualified_partners","active_partners"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"company_group":{"type":"string","default":"","maxLength":80},"active_partners":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"qualified_partners":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","company_group":"group-a","active_partners":1,"qualified_partners":10},{"date":"2026-10-02","row_id":"row-2","company_group":"group-b","active_partners":2,"qualified_partners":20},{"date":"2026-10-03","row_id":"row-3","company_group":"group-a","active_partners":3,"qualified_partners":15},{"date":"2026-10-04","row_id":"row-4","company_group":"group-b","active_partners":4,"qualified_partners":30}],"maxItems":200,"minItems":1},"field":{"enum":["qualified_partners","active_partners"],"type":"string","default":"qualified_partners"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"}}},"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_8uE3qDHquYVrh4pQuXOvH","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 Pearson correlation between qualified_partners and active_partners, and fills missing values in either measure using zero, mean, or median imputation, for up to 200 partnership pipeline rows.","exampleAgentPrompt":"I have 150 rows of partnership pipeline data with qualified_partners and active_partners counts — some values are null. Can you fill the missing qualified_partners values using the median and then compute the correlation between the two measures?","exampleUseCases":[{"title":"Pipeline correlation for quarterly review","prompt":"I've got our Q3 partnership pipeline records across group-a and group-b — up to 80 rows with qualified_partners and active_partners. Fill any missing active_partners values with the mean and tell me how correlated the two measures are."},{"title":"Zero-fill missing partner counts","prompt":"Some of our active_partners entries are blank in the partnership dataset — treat those as zero, then run the two-measure correlation report on all 120 rows so I can see if qualified pipeline drives actual partner activation."},{"title":"Median imputation for clean dataset export","prompt":"Before I export our partnership pipeline, I need to fill nulls in qualified_partners using the median across all 200 rows, and also get the correlation between qualified_partners and active_partners for the full dataset."}],"resultDescription":"Returns two analytical reports: (1) a correlation result showing the statistical relationship between qualified_partners and active_partners across the supplied rows, and (2) a filled dataset where null values in the chosen field have been replaced using the specified imputation method (zero, mean, or median). No external data is fetched; all computation is performed on the supplied rows.","failureModes":["Fewer than 1 row supplied — validation error","More than 200 rows supplied — rejected with row-limit error","Invalid date format (not YYYY-MM-DD) — schema validation failure","Unknown imputation method outside enum [zero, mean, median] — rejected","Correlation undefined if one measure has zero variance across all rows","Missing required fields row_id or company_group — schema validation error"],"whenToPreferThis":"Choose this endpoint when you have raw partnership pipeline tabular data (up to 200 rows) with qualified_partners and active_partners columns and need both a correlation analysis and missing-value imputation in a single low-cost call ($0.01 USDC). It is ideal when your data is already structured and you need offline statistical computation without live lookups or external integrations. Prefer alternatives if you need time-series forecasting, more than 200 rows, or more than two measures analyzed simultaneously.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T18:52:47.326Z","isFirstParty":false,"canonicalSlug":"partnership-pipeline-two-measure-correlation-explicit-missing-value-62c4197f"}