{"uid":"cap_pEQvNaB0tQ_N01oLVBGSB","slug":"question-bank-coverage-string-normalisation-exact-row-deduplication-385d6c15","name":"Question Bank Coverage — String Normalisation + Exact Row Deduplication","description":"Question bank coverage — String normalisation + Exact row deduplication: String normalisation + Exact row deduplication 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-18-020?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}}},"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_HFCtERLhLdHNVsY8przNL","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 deduplicates rows in question bank coverage records (item_count, objective_count), producing 2 analytical reports for up to 200 rows.","exampleAgentPrompt":"Can you clean up my question bank coverage records — normalise the course group strings and remove any exact duplicate rows? I have 4 rows: row-1 on 2026-10-01 for group-a with 10 items and 1 objective, row-2 on 2026-10-02 for group-b with 20 items and 2 objectives, row-3 on 2026-10-03 for group-a with 15 items and 3 objectives, and row-4 on 2026-10-04 for group-b with 30 items and 4 objectives.","exampleUseCases":[{"title":"Deduplicating curriculum coverage exports","prompt":"I've exported question bank coverage data from our LMS with possible duplicate rows — can you normalise the course group names and remove any exact duplicates? Here are the rows: row-1, 2026-09-01, group-a, 25 items, 5 objectives; row-2, 2026-09-01, group-a, 25 items, 5 objectives; row-3, 2026-09-02, group-b, 40 items, 8 objectives."},{"title":"Standardising question bank audit records","prompt":"Our question bank audit has inconsistent string formatting across course groups — can you normalise those strings and flag any exact duplicate rows? I have 5 records: row-1 through row-5, dated 2026-11-01 to 2026-11-05, groups like 'Group A', 'group-a', 'GROUP A', with item counts 10, 10, 20, 30, 20 and objective counts 2, 2, 4, 6, 4."},{"title":"Pre-analysis cleanup of objective coverage data","prompt":"Before I run my coverage analysis I need to clean my question bank data — normalise the strings and deduplicate exact rows. I've got 6 entries: row-1 to row-6, dates from 2026-08-01 to 2026-08-06, course groups alpha, beta, alpha, gamma, beta, alpha, with item counts 5, 15, 5, 25, 15, 10 and objective counts 1, 3, 1, 5, 3, 2."}],"resultDescription":"Two analytical reports covering: (1) string-normalised versions of the input question bank coverage records with course group and string fields standardised, and (2) a deduplicated row set identifying and removing exact duplicate records, along with summary statistics on item_count and objective_count across up to 200 input rows.","failureModes":["More than 200 rows submitted — request rejected with validation error","Missing required fields (row_id, course_group, date, item_count, objective_count) — row-level validation failure","Date field not matching YYYY-MM-DD pattern — schema validation error","row_id exceeds 80 characters — validation rejection","Numeric fields outside allowed range — schema rejection","Empty rows array — minItems validation failure"],"whenToPreferThis":"Choose this endpoint when you need lightweight, local string normalisation and exact row deduplication for question bank coverage records without any external data lookups or predictions. Ideal for pre-processing education dataset exports (up to 200 rows) before downstream analysis, especially when you need two packaged reports in a single low-cost call ($0.01 USDC). Not suitable for fuzzy deduplication, semantic matching, or datasets exceeding 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-29T13:16:32.176Z","isFirstParty":false,"canonicalSlug":"question-bank-coverage-string-normalisation-exact-row-deduplication-385d6c15"}