{"uid":"cap_rgaf_IrcWr-r6BiTkjP0K","slug":"time-entries-record-quality-audit-b15fcae7","name":"Time Entries Record Quality Audit","description":"Time entries - Record quality audit: Record quality audit 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 record quality audit deliverable.","url":"https://market.datapackvibe.com/x402/assistant-sector-analytics-time-entries-quality?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_YCtrx9RBQ0qxOEJd5UEZ7","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":"Performs a local data-quality audit on up to 200 time-entry records, checking numeric consistency and data integrity across project, date, hours, and billable hours fields.","exampleAgentPrompt":"Can you run a data quality audit on these time entries for our projects — I have up to 50 rows each with a row_id, project name, date, total hours, and billable hours — and flag anything that looks wrong or inconsistent?","exampleUseCases":[{"title":"Pre-billing timesheet validation","prompt":"Before I submit this month's invoices, can you audit these 80 time entry records for data quality issues? Each row has a row_id, project code, date like 2026-10-01, total hours worked, and billable hours — flag anything that looks off or inconsistent."},{"title":"Payroll data integrity check","prompt":"I exported 150 time entries from our payroll system — each has a row ID, project name, date, hours logged, and billable hours. Can you run a quality audit and tell me which records have data problems like nulls, negatives, or mismatched values?"},{"title":"Project billing discrepancy review","prompt":"We noticed some billing discrepancies in project group-a and group-b. Can you audit these 40 time entry records — with fields for row_id, project, date, hours, and billable_hours — and identify any records that have quality or consistency issues?"}],"resultDescription":"Returns a bounded record quality audit report covering the submitted time entry rows, including flags for data quality issues such as null values, invalid dates, out-of-range numeric fields, inconsistencies between hours and billable_hours, and other local data integrity problems. No external enrichment is applied.","failureModes":["Payload exceeds 200 rows — server rejects with validation error","Row missing required fields (row_id, project, date, hours, billable_hours) — rejected","Date field does not match YYYY-MM-DD pattern — validation error","hours or billable_hours outside allowed numeric range — rejected","Empty rows array (minItems:1 not met) — error response","Payment of 0.01 USDC not provided or fails — 402 Payment Required"],"whenToPreferThis":"Choose this endpoint when you need a lightweight, local numeric and data-quality check on time entry records (up to 200 rows) without requiring external data enrichment or forecasting. Ideal for pre-billing validation, payroll integrity checks, or catching malformed timesheet exports before downstream processing. Best when you already have structured time entry data with project, date, hours, and billable hours fields and want a fast, inexpensive quality audit at $0.01 per call.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-12T00:43:50.949Z","isFirstParty":false,"canonicalSlug":"time-entries-record-quality-audit-b15fcae7"}