{"uid":"cap_F9AZfm6yrImTKfe_RinIi","slug":"public-project-delivery-string-normalisation-and-numeric-row-ordering-14597be0","name":"Public Project Delivery String Normalisation and Numeric Row Ordering","description":"Public project delivery — String normalisation + Numeric row ordering: String normalisation + Numeric row ordering for supplied public project delivery records (planned_days, actual_days). 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-economics-12-025?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","region","date","planned_days","actual_days"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"region":{"type":"string","default":"","maxLength":80},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"actual_days":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"planned_days":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","region":"group-a","row_id":"row-1","actual_days":1,"planned_days":10},{"date":"2026-10-02","region":"group-b","row_id":"row-2","actual_days":2,"planned_days":20},{"date":"2026-10-03","region":"group-a","row_id":"row-3","actual_days":3,"planned_days":15},{"date":"2026-10-04","region":"group-b","row_id":"row-4","actual_days":4,"planned_days":30}],"maxItems":200,"minItems":1},"field":{"enum":["planned_days","actual_days"],"type":"string","default":"planned_days"}}},"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_GDSAPpb4B2JmyqpagQ716","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 strings and orders rows numerically for public project delivery records (planned_days, actual_days) across up to 200 rows, returning 2 analytical reports.","exampleAgentPrompt":"Can you normalise the strings and sort rows numerically by planned_days for my public project delivery records? I have 4 rows: row-1 in group-a on 2026-10-01 with planned 10 days and actual 1 day, row-2 in group-b on 2026-10-02 with planned 20 days and actual 2 days, row-3 in group-a on 2026-10-03 with planned 15 days and actual 3 days, and row-4 in group-b on 2026-10-04 with planned 30 days and actual 4 days.","exampleUseCases":[{"title":"Ranking project regions by planned duration","prompt":"I have a list of 8 public project delivery records across two regions — can you sort them numerically by planned_days and normalise the region strings? Here are the rows with their row IDs, dates, regions, planned days and actual days."},{"title":"Auditing actual delivery days order","prompt":"Can you take my 12 public project delivery records and order them by actual_days numerically, while also normalising all the string fields like region names? I want two clean reports from the data I'll supply."},{"title":"Cleaning mixed-format delivery dataset","prompt":"I've got a messy spreadsheet of public project delivery data with inconsistent region strings and unsorted day values — can you normalise the strings and rank all 50 rows by planned_days so I can see which projects took longest to plan?"}],"resultDescription":"Two analytical reports for the supplied rows: one covering string normalisation of fields like region and date, and one covering numeric row ordering by the selected field (planned_days or actual_days). Results are computed locally without live lookup or external data.","failureModes":["More than 200 rows submitted — request rejected due to maxItems constraint","Missing required fields (row_id, region, date, planned_days, actual_days) — validation error","Invalid date format not matching YYYY-MM-DD pattern — schema validation failure","Null numeric values in the sort field may affect ordering results","Field enum value not matching 'planned_days' or 'actual_days' — rejected input"],"whenToPreferThis":"Use this endpoint when you have up to 200 public project delivery records and need both string normalisation and numeric row ordering in a single low-cost call ($0.01 USDC for 2 reports). Prefer it over generic data tools when your data specifically contains planned_days and actual_days fields and you want self-contained local analytical processing without external lookups or live data dependencies.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:33:14.464Z","isFirstParty":false,"canonicalSlug":"public-project-delivery-string-normalisation-and-numeric-row-ordering-14597be0"}