{"uid":"cap_amounfiYWB0977PUt7Itz","slug":"project-effort-string-normalisation-numeric-row-ordering-63cbced4","name":"Project Effort String Normalisation + Numeric Row Ordering","description":"Project effort — String normalisation + Numeric row ordering: String normalisation + Numeric row ordering for supplied project effort records (estimated_hours, actual_hours). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-operations-01-025?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","team_group","date","estimated_hours","actual_hours"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"team_group":{"type":"string","default":"","maxLength":80},"actual_hours":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"estimated_hours":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","team_group":"group-a","actual_hours":1,"estimated_hours":10},{"date":"2026-10-02","row_id":"row-2","team_group":"group-b","actual_hours":2,"estimated_hours":20},{"date":"2026-10-03","row_id":"row-3","team_group":"group-a","actual_hours":3,"estimated_hours":15},{"date":"2026-10-04","row_id":"row-4","team_group":"group-b","actual_hours":4,"estimated_hours":30}],"maxItems":200,"minItems":1},"field":{"enum":["estimated_hours","actual_hours"],"type":"string","default":"estimated_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_Unpf3GJ1R_z9yxjDW_pXY","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 team group strings and orders rows numerically by estimated_hours or actual_hours for up to 200 project effort records, producing two local analytical reports.","exampleAgentPrompt":"Can you normalise the team group strings and sort these project effort rows by estimated_hours? I have 4 rows: row-1 for group-a on 2026-10-01 with 10 estimated and 1 actual hours, row-2 for group-b on 2026-10-02 with 20 estimated and 2 actual, row-3 for group-a on 2026-10-03 with 15 estimated and 3 actual, and row-4 for group-b on 2026-10-04 with 30 estimated and 4 actual hours.","exampleUseCases":[{"title":"Sprint effort data cleanup","prompt":"I have a sprint's worth of effort records with messy team group names and I need them normalised and ordered by estimated_hours — here are 8 rows with row IDs, dates, team groups like 'Team Alpha' and 'team alpha', plus estimated and actual hours for each."},{"title":"Comparing over- and under-estimation","prompt":"Can you take my 50 project effort rows and produce two reports: one with strings normalised for the team groups, and one with the rows sorted by actual_hours so I can see who went furthest over or under their estimates?"},{"title":"Weekly effort summary for stakeholders","prompt":"I need to tidy up our weekly effort log — normalise the team group labels and order everything by estimated_hours — there are about 120 rows with row IDs, dates, team names, and both estimated and actual hour figures."}],"resultDescription":"Two analytical reports: one with team_group strings normalised (e.g. consistent casing and whitespace), and one with the input rows reordered numerically by the selected field (estimated_hours or actual_hours). No external lookups or predictions are made; all computation is local.","failureModes":["More than 200 rows submitted — request rejected with validation error","Missing required fields (row_id, date, estimated_hours, actual_hours) — row rejected or error returned","Invalid date format not matching YYYY-MM-DD — schema validation failure","Numeric values outside allowed range — validation error","Invalid field enum value — schema rejection"],"whenToPreferThis":"Choose this endpoint when you need lightweight, offline string normalisation of team group labels combined with numeric ordering of project effort rows (estimated or actual hours) and want both operations in a single cheap call ($0.01 USDC for two reports). Ideal for pre-processing effort data before reporting or visualisation, without requiring any live data lookups, predictions, or external integrations.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:32:53.726Z","isFirstParty":false,"canonicalSlug":"project-effort-string-normalisation-numeric-row-ordering-63cbced4"}