{"uid":"cap_ThMYPTFM6phagy09wEPdp","slug":"curriculum-mapping-string-normalisation-numeric-row-ordering-c234134d","name":"Curriculum Mapping — String Normalisation & Numeric Row Ordering","description":"Curriculum mapping — String normalisation + Numeric row ordering: String normalisation + Numeric row ordering for supplied curriculum mapping records (mapped_outcomes, required_outcomes). 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-24-025?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","course_group","date","mapped_outcomes","required_outcomes"],"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},"mapped_outcomes":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"required_outcomes":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","course_group":"group-a","mapped_outcomes":10,"required_outcomes":1},{"date":"2026-10-02","row_id":"row-2","course_group":"group-b","mapped_outcomes":20,"required_outcomes":2},{"date":"2026-10-03","row_id":"row-3","course_group":"group-a","mapped_outcomes":15,"required_outcomes":3},{"date":"2026-10-04","row_id":"row-4","course_group":"group-b","mapped_outcomes":30,"required_outcomes":4}],"maxItems":200,"minItems":1},"field":{"enum":["mapped_outcomes","required_outcomes"],"type":"string","default":"mapped_outcomes"}}},"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_CGvtZ20CgDUFfgXqnxbhU","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 curriculum mapping records containing mapped_outcomes and required_outcomes fields, producing two analytical reports for up to 200 rows.","exampleAgentPrompt":"Can you normalise the strings and sort the rows numerically by mapped_outcomes for my curriculum mapping data? I have four rows: row-1 for group-a on 2026-10-01 with mapped_outcomes 10 and required_outcomes 1, row-2 for group-b on 2026-10-02 with mapped_outcomes 20 and required_outcomes 2, row-3 for group-a on 2026-10-03 with mapped_outcomes 15 and required_outcomes 3, and row-4 for group-b on 2026-10-04 with mapped_outcomes 30 and required_outcomes 4.","exampleUseCases":[{"title":"Ordering courses by learning outcomes","prompt":"I have 12 curriculum mapping rows across two course groups — can you sort them numerically by mapped_outcomes and normalise all the string fields? Here are the rows: row-1, group-alpha, 2026-09-01, mapped_outcomes 45, required_outcomes 5; row-2, group-beta, 2026-09-02, mapped_outcomes 30, required_outcomes 3 … and so on up to row-12."},{"title":"Cleaning required outcomes data","prompt":"Please run a string normalisation and numeric row ordering report on my curriculum data, focusing on the required_outcomes field. I have 8 rows spanning group-a and group-b from 2026-11-01 to 2026-11-08 with required_outcomes values ranging from 1 to 20."},{"title":"Comparing mapped vs required outcome rankings","prompt":"I need two reports on my curriculum mapping dataset — one normalising the strings in course group names and one ordering the 6 rows by mapped_outcomes numerically. Rows go from row-1 (group-science, 2026-08-01, mapped 100, required 10) through row-6 (group-arts, 2026-08-06, mapped 60, required 6)."}],"resultDescription":"Two independent analytical reports: one covering string normalisation of course_group and other string fields across the submitted rows, and one covering numeric ordering of rows by the selected field (mapped_outcomes or required_outcomes). Results are computed locally with no external lookups, covering up to 200 input rows.","failureModes":["More than 200 rows submitted — request rejected due to maxItems constraint","Missing required fields (row_id, date, mapped_outcomes, required_outcomes) — validation error","Date field not matching YYYY-MM-DD pattern — schema validation failure","Numeric values outside allowed range (±1,000,000,000,000) — rejected","Invalid field enum value — must be 'mapped_outcomes' or 'required_outcomes'"],"whenToPreferThis":"Choose this endpoint when you need lightweight, local string normalisation and numeric row ordering reports for curriculum mapping records with mapped_outcomes and required_outcomes fields, especially when you want two reports bundled for a single low-cost call ($0.01 USDC) without any external lookups, AI predictions, or live data dependencies.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:33:23.017Z","isFirstParty":false,"canonicalSlug":"curriculum-mapping-string-normalisation-numeric-row-ordering-c234134d"}