{"uid":"cap_fPfddJjr0oq6FAJAtnPZG","slug":"process-handoffs-two-measure-correlation-secondary-measure-weighted-0e289677","name":"Process Handoffs — Two-Measure Correlation + Secondary-Measure Weighted Mean","description":"Process handoffs — Two-measure correlation + Secondary-measure weighted mean: Two-measure correlation + Secondary-measure weighted mean for supplied process handoffs records (handoff_count, wait_minutes). 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-operations-18-181?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","team_group","date","handoff_count","wait_minutes"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"team_group":{"type":"string","default":"","maxLength":80},"wait_minutes":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"handoff_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","team_group":"group-a","wait_minutes":1,"handoff_count":10},{"date":"2026-10-02","row_id":"row-2","team_group":"group-b","wait_minutes":2,"handoff_count":20},{"date":"2026-10-03","row_id":"row-3","team_group":"group-a","wait_minutes":3,"handoff_count":15},{"date":"2026-10-04","row_id":"row-4","team_group":"group-b","wait_minutes":4,"handoff_count":30}],"maxItems":200,"minItems":1},"field":{"enum":["handoff_count","wait_minutes"],"type":"string","default":"handoff_count"}}},"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_0iQ-EL_5vKEGx9-NyrTBM","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 handoff_count and wait_minutes, plus a weighted mean for a chosen secondary measure, across up to 200 process handoff records.","exampleAgentPrompt":"Can you run a correlation and weighted mean analysis on these process handoff records — I have up to 200 rows with handoff_count and wait_minutes fields per team group, and I want to use handoff_count as the primary field?","exampleUseCases":[{"title":"Team handoff efficiency analysis","prompt":"I have daily handoff data for two teams — group-a and group-b — across October. Can you compute the correlation between handoff_count and wait_minutes, plus the weighted mean of wait_minutes for me? I'll give you the rows with row_id, date, team_group, handoff_count, and wait_minutes."},{"title":"Operations bottleneck investigation","prompt":"We're trying to figure out if higher handoff counts in our support workflow are causing longer wait times. Can you run a two-measure correlation on our handoff_count and wait_minutes data and also give me a weighted mean of handoff_count? We have about 150 rows of daily records."},{"title":"Cross-team process performance comparison","prompt":"I want to statistically compare how handoffs and wait times relate across our different team groups this quarter. Can you calculate the correlation between handoff_count and wait_minutes plus a secondary weighted mean using wait_minutes as the field, from my 80-row dataset?"}],"resultDescription":"Returns two analytical reports: (1) a Pearson correlation coefficient between handoff_count and wait_minutes across the supplied rows, and (2) a weighted mean for the selected secondary measure (handoff_count or wait_minutes). Both are computed locally using shared analytical engines on up to 200 supplied data rows with no external lookups.","failureModes":["Fewer than 1 row supplied — validation error","More than 200 rows submitted — rejected with max-items error","Missing required fields (row_id, date, handoff_count, wait_minutes) in any row — schema validation failure","Invalid date format (not YYYY-MM-DD) — pattern validation error","Non-numeric values in handoff_count or wait_minutes where numbers are expected — type error","Payment not processed — x402 payment required response"],"whenToPreferThis":"Choose this endpoint when you have structured process handoff records (handoff_count, wait_minutes per row) and need both a pairwise correlation and a weighted mean in a single low-cost call ($0.01 USDC for 2 reports). Prefer it over generic analytics tools when your dataset fits within 200 rows and you want a lightweight, no-external-dependency statistical summary without prediction or professional assessment.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T18:50:14.199Z","isFirstParty":false,"canonicalSlug":"process-handoffs-two-measure-correlation-secondary-measure-weighted-0e289677"}