{"uid":"cap_ni7meUkF8LB_OdKqpdey2","slug":"time-entries-two-measure-correlation-9b052227","name":"Time Entries Two-Measure Correlation","description":"Time entries - Two-measure correlation: Two-measure correlation for Time entries. Up to 200 supplied typed records. Local numeric and data-quality processing; no external enrichment or forecasting. One of 25 profiles or calculations across 20 shared operations in this sector. 0.01 USDC includes one bounded two-measure correlation deliverable.","url":"https://market.datapackvibe.com/x402/assistant-sector-analytics-time-entries-correlation?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","project","date","hours","billable_hours"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"hours":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"project":{"type":"string","default":"","maxLength":80},"billable_hours":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","hours":10,"row_id":"row-1","project":"group-a","billable_hours":1},{"date":"2026-10-02","hours":20,"row_id":"row-2","project":"group-b","billable_hours":2},{"date":"2026-10-03","hours":15,"row_id":"row-3","project":"group-a","billable_hours":3},{"date":"2026-10-04","hours":30,"row_id":"row-4","project":"group-b","billable_hours":4}],"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_3xIBGP-hmrIs70PGT5FZS","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 the two-measure (Pearson-style) correlation between hours and billable_hours across up to 200 time entry records, locally, with no external enrichment.","exampleAgentPrompt":"Can you run a two-measure correlation between total hours and billable hours on these time entries? I have 4 records: row-1 on 2026-10-01 for project group-a with 10 hours and 1 billable hour, row-2 on 2026-10-02 for group-b with 20 hours and 2 billable, row-3 on 2026-10-03 for group-a with 15 hours and 3 billable, and row-4 on 2026-10-04 for group-b with 30 hours and 4 billable.","exampleUseCases":[{"title":"Billing efficiency audit for a consultancy","prompt":"I have 50 time entry records from last quarter — each with a date, project name, total hours, and billable hours. Can you calculate the correlation between total hours logged and billable hours so I can see how tightly we're converting effort into billed time?"},{"title":"Payroll vs billable discrepancy check","prompt":"We've got 120 timesheet rows with hours worked and billable hours for each employee-project day. Run the two-measure correlation on hours versus billable_hours so I can tell the finance team how strongly they move together."},{"title":"Project group comparison for resource planning","prompt":"Here are 80 time entries split across two project groups — group-alpha and group-beta — with dates, total hours, and billable hours. Compute the correlation between hours and billable hours so I know which group has more predictable billing behavior."}],"resultDescription":"Returns a single bounded two-measure correlation deliverable: the computed correlation coefficient (and likely supporting data-quality metrics) between the 'hours' and 'billable_hours' fields across the submitted time entry rows. No external data is fetched; all processing is local and numeric.","failureModes":["Fewer than 1 row submitted — minimum items constraint violated","More than 200 rows submitted — maxItems constraint exceeded","Missing required fields (row_id, project, date, hours, billable_hours) on any row","Date field not matching YYYY-MM-DD pattern — schema validation failure","Null values in both numeric fields across all rows — insufficient data for correlation computation","row_id empty or exceeds 80 characters — schema rejection","Payment not fulfilled — x402 payment required before response"],"whenToPreferThis":"Choose this endpoint when you need a fast, self-contained statistical correlation between two numeric measures (hours and billable_hours) in time entry records, without involving external APIs or enrichment. It is ideal for billing audits, timesheet analysis, or workforce analytics pipelines where you have up to 200 structured time-tracking rows and want a single correlation coefficient with data-quality signals at minimal cost ($0.01 USDC per call).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:39:27.107Z","isFirstParty":false,"canonicalSlug":"time-entries-two-measure-correlation-9b052227"}