{"uid":"cap_CuHCQ9a8YLke17WnlF_WT","slug":"curriculum-mapping-string-normalisation-trailing-mean-series-bf42f670","name":"Curriculum Mapping — String Normalisation + Trailing Mean Series","description":"Curriculum mapping — String normalisation + Trailing mean series: String normalisation + Trailing mean series 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-24-028?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"},"window":{"type":"integer","default":2,"maximum":200,"minimum":2}}},"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_u3m-ttsAaZMDKTmsJTu4O","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":"Runs two local analytical reports on curriculum mapping data: string normalisation and trailing mean series for mapped_outcomes or required_outcomes fields across up to 200 rows.","exampleAgentPrompt":"Can you run string normalisation and a trailing mean series (window size 3) on my curriculum mapping records for the mapped_outcomes field? I have about 50 rows with columns row_id, course_group, date, mapped_outcomes, and required_outcomes.","exampleUseCases":[{"title":"Rolling average of mapped outcomes by course group","prompt":"I have 120 rows of curriculum mapping data with dates, course groups, and mapped_outcomes values — can you compute a trailing mean series with a window of 5 and also normalise the string fields?"},{"title":"Cleaning required outcomes data before reporting","prompt":"Before I hand off this curriculum dataset to our accreditation team, can you normalise the strings and run a trailing mean on the required_outcomes column with a window of 4? There are about 80 rows."},{"title":"Monthly curriculum analytics for a single course group","prompt":"I want to analyze 30 rows of curriculum mapping records for course group 'STEM-A' — please run string normalisation and a trailing mean series with window 2 on the mapped_outcomes field."}],"resultDescription":"Returns two analytical reports for the supplied curriculum mapping rows: (1) a string normalisation report cleaning text fields in the dataset, and (2) a trailing mean series for the selected numeric field (mapped_outcomes or required_outcomes) computed over the specified rolling window — all processed locally with no external lookups.","failureModes":["Fewer than 1 row submitted returns a validation error","More than 200 rows submitted exceeds the per-call limit","Invalid date format (not YYYY-MM-DD) causes row rejection","Window size larger than the number of rows may produce sparse or empty trailing means","Null values in mapped_outcomes or required_outcomes may reduce trailing mean coverage","Missing required fields (row_id, course_group, date) cause schema validation failure"],"whenToPreferThis":"Choose this endpoint when you need lightweight, local analytical processing of curriculum mapping records — specifically string normalisation combined with a rolling/trailing mean series — without requiring external data lookups, predictions, or professional assessments. Ideal for education data pipelines that need to clean and summarize outcome metrics across up to 200 rows at low cost ($0.01 USDC for both reports).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T12:33:09.350Z","isFirstParty":false,"canonicalSlug":"curriculum-mapping-string-normalisation-trailing-mean-series-bf42f670"}