{"uid":"cap_QeZSUOxOfra2aPUYGx_uf","slug":"question-bank-coverage-string-normalisation-secondary-measure-661487e6","name":"Question Bank Coverage — String Normalisation + Secondary-Measure Weighted Mean","description":"Question bank coverage — String normalisation + Secondary-measure weighted mean: String normalisation + Secondary-measure weighted mean for supplied question bank coverage records (item_count, objective_count). 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-18-034?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","course_group","date","item_count","objective_count"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"item_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"course_group":{"type":"string","default":"","maxLength":80},"objective_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","item_count":10,"course_group":"group-a","objective_count":1},{"date":"2026-10-02","row_id":"row-2","item_count":20,"course_group":"group-b","objective_count":2},{"date":"2026-10-03","row_id":"row-3","item_count":15,"course_group":"group-a","objective_count":3},{"date":"2026-10-04","row_id":"row-4","item_count":30,"course_group":"group-b","objective_count":4}],"maxItems":200,"minItems":1},"field":{"enum":["item_count","objective_count"],"type":"string","default":"item_count"}}},"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_t7GbQVYfyjj__vjKMwuxj","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 course_group strings and computes a secondary-measure weighted mean over question bank coverage records (item_count, objective_count) for up to 200 rows, returning two analytical reports.","exampleAgentPrompt":"Can you normalise the course group labels and compute a weighted mean of item_count across these question bank coverage records? I have 4 rows: row-1 group-a 2026-10-01 item_count=10 objective_count=1, row-2 group-b 2026-10-02 item_count=20 objective_count=2, row-3 group-a 2026-10-03 item_count=15 objective_count=3, row-4 group-b 2026-10-04 item_count=30 objective_count=4 — use item_count as the primary field.","exampleUseCases":[{"title":"Curriculum coverage balance check","prompt":"I have question bank data for two course groups across 10 dates — can you normalise the group labels and give me a weighted mean of objective_count so I can see which curriculum area is most covered? Here are my 10 rows with row IDs, dates, item counts, and objective counts."},{"title":"Exam item distribution analysis","prompt":"Run a weighted mean analysis on item_count for these 50 question bank records from our assessment team — the field is item_count, and I need the string normalisation applied to course_group names too since different authors wrote them inconsistently."},{"title":"Education data quality and summary report","prompt":"We've got 150 rows of question bank coverage data with course_group, date, item_count, and objective_count. Can you normalise the course group strings and compute the secondary-measure weighted mean using objective_count as the field, and give me both analytical reports?"}],"resultDescription":"Returns two analytical reports: (1) normalised string representations of course_group values and (2) a secondary-measure weighted mean computed over the selected field (item_count or objective_count) across all supplied rows (up to 200). All processing is local with no external lookups.","failureModes":["More than 200 rows submitted — endpoint rejects with validation error","Missing required fields (row_id, course_group, date, item_count, or objective_count) cause schema validation failure","Invalid date format (not YYYY-MM-DD) triggers pattern mismatch error","Null values for both numeric fields may produce undefined weighted mean","field enum value outside 'item_count' or 'objective_count' causes rejection"],"whenToPreferThis":"Choose this endpoint when you have up to 200 question bank coverage records and need both string normalisation of course group labels and a secondary-measure weighted mean computed locally without any external data lookup, prediction, or professional assessment. It is particularly suited to education analytics pipelines processing assessment item inventories.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-30T19:10:13.337Z","isFirstParty":false,"canonicalSlug":"question-bank-coverage-string-normalisation-secondary-measure-661487e6"}