{"uid":"cap_-ShV-mZ_CXXFZrjFZyTbH","slug":"question-bank-coverage-string-normalisation-adjacent-row-changes-2e510dc4","name":"Question Bank Coverage — String Normalisation + Adjacent Row Changes","description":"Question bank coverage — String normalisation + Adjacent row changes: String normalisation + Adjacent row changes 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-18-029?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_Rj0mDX3xn2YsXs48vgrCV","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":"Performs string normalisation and adjacent row change analysis on question bank coverage records (item_count, objective_count) for up to 200 rows in two independent analytical reports.","exampleAgentPrompt":"Can you run string normalisation and adjacent row change analysis on my question bank coverage data — I have 4 rows with course groups 'group-a' and 'group-b', dates from 2026-10-01 to 2026-10-04, item counts of 10, 20, 15, 30, objective counts of 1, 2, 3, 4, and I want the analysis on the item_count field?","exampleUseCases":[{"title":"Tracking question bank growth over time","prompt":"I have a week's worth of question bank coverage records for two course groups — can you show me how item counts are changing from one day to the next and also normalise the course group name strings across those rows? The field I care about is item_count."},{"title":"Auditing objective count consistency across groups","prompt":"Please run the adjacent row changes and string normalisation reports on my 50-row question bank coverage dataset focused on objective_count — I need to spot any jumps or inconsistencies between consecutive records and clean up the group labels."},{"title":"Comparing pre- and post-revision coverage data","prompt":"I've uploaded 120 rows of question bank coverage data before and after a curriculum revision, with item_count and objective_count values per course group per date. Can you compute the adjacent row changes for objective_count and normalise all the course_group strings so I can compare them cleanly?"}],"resultDescription":"Returns two analytical reports: (1) a string normalisation report for course_group labels in the submitted rows, and (2) an adjacent row changes report showing delta values between consecutive rows for the selected numeric field (item_count or objective_count). Both reports are computed locally from the supplied data with no external lookups.","failureModes":["Fewer than 1 row submitted — minimum row count not met","More than 200 rows submitted — exceeds maximum row limit","Missing required fields (row_id, course_group, date, item_count, objective_count) — validation error","Invalid date format (must match YYYY-MM-DD pattern) — pattern validation failure","Numeric values outside allowed range (±1,000,000,000,000) — schema rejection","Invalid field selector (must be 'item_count' or 'objective_count') — enum validation error","Payment not included or insufficient — x402 payment required response"],"whenToPreferThis":"Choose this endpoint when you have tabular question bank coverage records and need both string normalisation of categorical labels and adjacent row delta computation in a single low-cost call. Ideal for education data pipelines where course group naming is inconsistent and you want to detect row-to-row coverage changes without setting up your own analytics infrastructure. Best suited for batch sizes up to 200 rows where you want two reports for $0.01.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-30T19:10:43.641Z","isFirstParty":false,"canonicalSlug":"question-bank-coverage-string-normalisation-adjacent-row-changes-2e510dc4"}