{"uid":"cap_9xeNAYzDDwJBQKpgLezHB","slug":"training-attendance-string-normalisation-6df0fa44","name":"Training Attendance String Normalisation","description":"Training attendance - String normalisation: String normalisation for Training attendance. 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-training-attendance-normalise?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","course","date","attendees","completions"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"course":{"type":"string","default":"","maxLength":80},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"attendees":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"completions":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","course":"group-a","row_id":"row-1","attendees":10,"completions":1},{"date":"2026-10-02","course":"group-b","row_id":"row-2","attendees":20,"completions":2},{"date":"2026-10-03","course":"group-a","row_id":"row-3","attendees":15,"completions":3},{"date":"2026-10-04","course":"group-b","row_id":"row-4","attendees":30,"completions":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_Fx7FRHJhNHrTr-wWhaUBm","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 and cleans string fields in training attendance records (course names, dates, attendee and completion counts) for up to 200 rows per call.","exampleAgentPrompt":"Can you clean up these training attendance records? I have 4 rows with course names like 'group-a' and 'group-b', dates from 2026-10-01 to 2026-10-04, and attendee/completion counts — normalise the strings and fix any data quality issues.","exampleUseCases":[{"title":"LMS data cleaning before reporting","prompt":"I've exported 150 rows from our LMS with inconsistent course names and some malformed dates — can you normalise all the string fields in these training attendance records so they're clean and consistent before I run my monthly report?"},{"title":"HR training compliance data prep","prompt":"Our HR team has attendance data for compliance training with mixed-case course names, some null completion counts, and a few bad date formats. Can you clean and normalise up to 80 of these records so we can load them into our compliance dashboard?"},{"title":"Batch fix messy workshop records","prompt":"I have a CSV of workshop attendance records — about 60 rows — where the course field has loads of typos and inconsistent formatting. Can you run string normalisation on them so the course names and dates are all standardised?"}],"resultDescription":"Returns up to 200 normalised training attendance records with cleaned and standardised string fields, corrected date formats, and validated numeric attendee and completion counts, along with any data-quality flags or corrections applied per row.","failureModes":["Submitting more than 200 rows returns a validation error","Rows missing required fields (row_id, course, date, attendees, completions) are rejected","Dates not matching YYYY-MM-DD pattern cause row-level validation failure","Numeric values outside the allowed range trigger schema validation errors","Empty row arrays are rejected with a minItems violation"],"whenToPreferThis":"Choose this endpoint when you need lightweight, local string normalisation and data-quality cleaning specifically for training attendance records (course names, dates, attendee/completion counts) without requiring external enrichment or forecasting. It is ideal for pre-processing LMS exports, HR compliance data, or workshop logs before loading into analytics systems, and handles batches of up to 200 rows per call at very low cost.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-27T13:07:49.644Z","isFirstParty":false,"canonicalSlug":"training-attendance-string-normalisation-6df0fa44"}