{"uid":"cap_vROCvcd6KYQPlKwoY7tfP","slug":"time-entries-daily-sum-series-56854fb0","name":"Time Entries Daily Sum Series","description":"Time entries - Daily sum series: Daily sum series 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 daily sum series deliverable.","url":"https://market.datapackvibe.com/x402/assistant-sector-analytics-time-entries-date-series?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},"field":{"enum":["hours","billable_hours"],"type":"string","default":"hours"}}},"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_R2TxOb8x-FhaUBEgm9S-r","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 a daily sum time series for time entry records, aggregating hours or billable_hours by date across up to 200 rows.","exampleAgentPrompt":"Take these time entry rows — each with a date, project, hours, and billable_hours — and give me a daily sum series for the 'hours' field so I can see the total hours logged each day.","exampleUseCases":[{"title":"Daily hours rollup for payroll review","prompt":"I have 150 time entry records from last month with dates, projects, and hours worked. Can you sum up the total hours for each day across all entries so I can verify totals before running payroll?"},{"title":"Billable hours trend by day","prompt":"Here's a batch of time logs from our consulting team — each row has a date, project, and billable_hours. Please compute the daily sum series for billable_hours so I can spot which days had the highest client-facing work."},{"title":"Project time audit daily aggregation","prompt":"I'm auditing time entries for a specific project group. Can you take these rows and produce a day-by-day total of hours so I can see how workload was distributed over the sprint?"}],"resultDescription":"Returns a daily sum series: a time-ordered list of dates with the summed value of the selected field (hours or billable_hours) across all input rows sharing that date, covering up to 200 input records in a single response.","failureModes":["Missing required fields (row_id, date, project, hours, or billable_hours) cause validation errors","Date strings not matching YYYY-MM-DD pattern are rejected","Input array exceeding 200 items is rejected","Null numeric values are excluded or treated as zero depending on implementation","Invalid field enum value (anything other than 'hours' or 'billable_hours') returns an error"],"whenToPreferThis":"Use this endpoint when you need a date-by-date aggregated sum of time entry data (hours or billable hours) from a structured list of records — ideal for timesheet rollups, payroll prep, billing summaries, or sprint analytics. Prefer this over general-purpose analytics tools when you have up to 200 well-structured time entry rows and need a quick, cheap ($0.01) local computation without external dependencies.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T18:47:38.123Z","isFirstParty":false,"canonicalSlug":"time-entries-daily-sum-series-56854fb0"}