{"uid":"cap_cP4-FHHfYbRT-guFOH7xh","slug":"time-entries-string-normalisation-6fba7a3e","name":"Time Entries String Normalisation","description":"Time entries - String normalisation: String normalisation 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 string normalisation deliverable.","url":"https://market.datapackvibe.com/x402/assistant-sector-analytics-time-entries-normalise?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_LqmO347G6GYP0OZuelWoJ","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":"Normalises string fields in time entry records (project name, date format) for up to 200 rows of typed time-tracking data.","exampleAgentPrompt":"Can you normalise the string fields in these time entries? I have 4 rows: row-1 project 'group-a' date 2026-10-01 hours 10 billable 1, row-2 project 'group-b' date 2026-10-02 hours 20 billable 2, row-3 project 'group-a' date 2026-10-03 hours 15 billable 3, row-4 project 'group-b' date 2026-10-04 hours 30 billable 4.","exampleUseCases":[{"title":"Timesheet import data cleanup","prompt":"Before I import this week's timesheet export into our billing system, can you normalise all the string fields across these 50 time entry rows? Project names are inconsistent and some dates look off."},{"title":"Freelancer invoice reconciliation","prompt":"I've got 120 time entry records from my contractors with messy project name strings and inconsistent date formatting — can you clean and normalise all of them so I can reconcile against invoices?"},{"title":"Automated reporting pipeline prep","prompt":"I need to standardise the project and date strings in these 30 time entries before they feed into our weekly reporting pipeline — please normalise them for me."}],"resultDescription":"Returns normalised versions of the submitted time entry records with cleaned and standardised string fields (project names, dates) and corrected data quality issues, preserving row_id references for downstream matching.","failureModes":["Rows array empty or missing — validation error returned","row_id missing or blank on any record — schema violation","date field not matching YYYY-MM-DD pattern — rejected record","More than 200 rows submitted — request rejected with max items error","hours or billable_hours out of numeric bounds — rejected","Malformed JSON body — 400 bad request"],"whenToPreferThis":"Choose this endpoint when you have up to 200 time entry records with inconsistent or dirty string fields (project names, dates) and need lightweight local normalisation without external enrichment. Ideal for pre-processing timesheet exports before loading into billing or reporting systems. Not suitable for forecasting, enrichment with external data, or datasets exceeding 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-12T00:42:45.291Z","isFirstParty":false,"canonicalSlug":"time-entries-string-normalisation-6fba7a3e"}