{"uid":"cap_lhrpwXya1G0FxjviwdFC3","slug":"time-entries-exact-row-deduplication-82ba574a","name":"Time Entries Exact Row Deduplication","description":"Time entries - Exact row deduplication: Exact row deduplication 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 exact row deduplication deliverable.","url":"https://market.datapackvibe.com/x402/assistant-sector-analytics-time-entries-deduplicate?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_qdewnRy5Kl9iCMwEKHq1O","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":"Removes exact duplicate rows from a batch of time entry records based on all fields matching identically, returning only unique records.","exampleAgentPrompt":"Can you deduplicate these time entries for me? I have up to 200 rows with fields like row_id, project, date, hours, and billable_hours, and I want to remove any exact duplicate records before I submit them for billing.","exampleUseCases":[{"title":"Payroll data deduplication cleanup","prompt":"I've exported our monthly time entries and there are some rows that got duplicated during the sync — can you run exact deduplication on these records so I only have unique entries before I process payroll? Each row has a row_id, project, date, hours, and billable_hours."},{"title":"Billing hours accuracy check","prompt":"Before I invoice the client, can you deduplicate this list of time entries? I want to make sure there are no exact duplicate rows inflating the billable hours — I have about 80 records with row IDs, project names, dates, and hours logged."},{"title":"Time sheet import deduplication","prompt":"We're importing time entries from two systems and some records got doubled up. Can you remove all exact duplicate rows from this batch of up to 150 time entries so we have a clean dataset to load into our project tracker?"}],"resultDescription":"Returns the deduplicated set of time entry records with exact duplicate rows removed, preserving one copy of each unique combination of row_id, project, date, hours, and billable_hours fields.","failureModes":["Input array is empty (minItems violation)","Input exceeds 200 rows (maxItems violation)","Date field does not match required YYYY-MM-DD pattern","Missing required fields: row_id, project, date, hours, or billable_hours","row_id is empty string or exceeds 80 characters","Hours or billable_hours values outside numeric range limits"],"whenToPreferThis":"Choose this endpoint when you need lightweight, local exact-match deduplication of time entry records (up to 200 rows) without sending data to external enrichment services. Ideal for pre-processing payroll, billing, or project analytics pipelines where duplicate time logs may have been introduced by system syncs or manual entry errors. Not suitable for fuzzy or semantic deduplication, or for datasets larger than 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T18:47:53.473Z","isFirstParty":false,"canonicalSlug":"time-entries-exact-row-deduplication-82ba574a"}