{"uid":"cap_-gYeM9SSkRDmZz44tDwdl","slug":"thesis-milestones-string-normalisation-numeric-row-ordering-947efb6b","name":"Thesis Milestones — String Normalisation + Numeric Row Ordering","description":"Thesis milestones — String normalisation + Numeric row ordering: String normalisation + Numeric row ordering for supplied thesis milestones records (completed_milestones, planned_milestones). 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-education-21-025?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","course_group","date","completed_milestones","planned_milestones"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"course_group":{"type":"string","default":"","maxLength":80},"planned_milestones":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"completed_milestones":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","course_group":"group-a","planned_milestones":1,"completed_milestones":10},{"date":"2026-10-02","row_id":"row-2","course_group":"group-b","planned_milestones":2,"completed_milestones":20},{"date":"2026-10-03","row_id":"row-3","course_group":"group-a","planned_milestones":3,"completed_milestones":15},{"date":"2026-10-04","row_id":"row-4","course_group":"group-b","planned_milestones":4,"completed_milestones":30}],"maxItems":200,"minItems":1},"field":{"enum":["completed_milestones","planned_milestones"],"type":"string","default":"completed_milestones"}}},"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_B_Lc8VTRO7dn4eFfa2S2H","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 and applies numeric row ordering to thesis milestone records (completed_milestones, planned_milestones), producing two analytical reports from user-supplied data.","exampleAgentPrompt":"Can you normalise the string fields and sort rows numerically for my thesis milestone data? I have 4 rows — row-1 group-a 2026-10-01 completed 10 planned 1, row-2 group-b 2026-10-02 completed 20 planned 2, row-3 group-a 2026-10-03 completed 15 planned 3, row-4 group-b 2026-10-04 completed 30 planned 4 — and I want the report based on completed_milestones.","exampleUseCases":[{"title":"PhD cohort milestone progress audit","prompt":"I have 50 rows of thesis milestone data across two course groups with dates and completed/planned milestone counts — can you normalise the text fields and order the rows numerically by completed_milestones so I can audit progress across the cohort?"},{"title":"Planned milestone scheduling review","prompt":"Here are 120 thesis records with course groups, dates, and planned milestone figures — please clean up the string fields and rank the rows by planned_milestones so I can see which students have the most upcoming work scheduled."},{"title":"Dissertation tracking dashboard prep","prompt":"I'm building a dashboard and need my 80 thesis milestone rows normalised and sorted numerically — can you run both the completed_milestones and planned_milestones reports on this dataset so I have clean, ordered data to feed into my charts?"}],"resultDescription":"Two analytical reports derived from the supplied thesis milestone rows: one applying string normalisation to text fields (course_group, etc.) and one presenting rows ordered numerically by the selected metric (completed_milestones or planned_milestones). No external lookups or live data are involved; all processing uses local analytical engines on up to 200 input rows.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required fields (row_id, date, completed_milestones, planned_milestones) — validation error","Invalid date format (must be YYYY-MM-DD) — schema validation failure","Numeric milestone values outside allowed range (±1,000,000,000,000) — rejected","Invalid field enum value (must be completed_milestones or planned_milestones) — error","Payment of 0.01 USDC not completed — 402 response returned"],"whenToPreferThis":"Choose this endpoint when you have thesis milestone tabular data (up to 200 rows) and need both string normalisation of text fields and numeric row ordering of milestone counts in a single low-cost call. It is ideal for academic progress tracking workflows where data cleaning and ranked ordering are needed together without any external data lookups or live predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T18:50:10.793Z","isFirstParty":false,"canonicalSlug":"thesis-milestones-string-normalisation-numeric-row-ordering-947efb6b"}