{"uid":"cap_erUhaf6oufdeFzhscP8Uc","slug":"volunteer-hours-string-normalisation-b962e065","name":"Volunteer Hours String Normalisation","description":"Volunteer hours - String normalisation: String normalisation for Volunteer hours. Up to 200 supplied typed records. Local descriptive analytics; no enrichment or forecast. One of 25 new profiles across 20 shared operations in this industry. 0.01 USDC includes one bounded string normalisation report.","url":"https://market.datapackvibe.com/x402/assistant-ar-analytics-volunteer-hours-normalise?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","organisation","date","scheduled_hours","completed_hours"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"organisation":{"type":"string","default":"","maxLength":80},"completed_hours":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"scheduled_hours":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","organisation":"group-a","completed_hours":1,"scheduled_hours":10},{"date":"2026-10-02","row_id":"row-2","organisation":"group-b","completed_hours":2,"scheduled_hours":20},{"date":"2026-10-03","row_id":"row-3","organisation":"group-a","completed_hours":3,"scheduled_hours":15},{"date":"2026-10-04","row_id":"row-4","organisation":"group-b","completed_hours":4,"scheduled_hours":30}],"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_va6r-htVm5utJhQVaUYyB","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 standardises up to 200 volunteer hours records (organisation names, dates, scheduled and completed hours) into a clean, consistent local analytics report.","exampleAgentPrompt":"Can you normalise this batch of volunteer hours records for me? I have up to 50 rows with organisation names, dates like 2026-10-01, and scheduled vs completed hours that need to be cleaned and standardised into a consistent report.","exampleUseCases":[{"title":"Cleaning volunteer organisation name inconsistencies","prompt":"I've got 120 volunteer log entries from different branches and the organisation names are all spelled differently — can you normalise all the strings and give me a clean descriptive report? Each row has a date, row ID, and scheduled and completed hours."},{"title":"Standardising exported volunteer tracker data","prompt":"We exported volunteer hours from our tracking tool and the data is messy — dates in wrong format and organisation names inconsistent. Can you run string normalisation on these 80 records so we get a tidy analytics summary?"},{"title":"Pre-reporting data quality pass for volunteer programme","prompt":"Before we generate our quarterly volunteer report I need to normalise up to 200 rows of hours data — each has a row ID, organisation, date, and how many hours were scheduled versus completed. Can you clean and standardise them for me?"}],"resultDescription":"A bounded string normalisation report covering the submitted volunteer hours records, with descriptive local analytics on the normalised organisation names, dates, scheduled hours, and completed hours — up to 200 rows processed per call, no external enrichment or forecasting.","failureModes":["Fewer than 1 row submitted returns a validation error","More than 200 rows submitted exceeds the maxItems limit","Date strings not matching YYYY-MM-DD pattern fail schema validation","Missing required fields (row_id, organisation, date, scheduled_hours, completed_hours) cause rejection","Extremely large numeric hour values outside ±1,000,000,000,000 are rejected"],"whenToPreferThis":"Choose this endpoint when you have raw volunteer hours records with inconsistent string formatting — messy organisation names, varied date representations, or unreliable numeric fields — and need a lightweight local normalisation and descriptive analytics pass without external enrichment or forecasting. It is well-suited for pre-reporting data quality steps on small-to-medium batches (up to 200 rows) in nonprofit or volunteer management contexts.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-13T00:42:10.340Z","isFirstParty":false,"canonicalSlug":"volunteer-hours-string-normalisation-b962e065"}