{"uid":"cap_ULfM2KE-YsNyLsJmZ_zaD","slug":"assessment-item-observations-string-normalisation-numeric-row-ordering-aefe6c25","name":"Assessment Item Observations — String Normalisation + Numeric Row Ordering","description":"Assessment item observations — String normalisation + Numeric row ordering: String normalisation + Numeric row ordering for supplied assessment item observations records (correct_responses, attempts). 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-02-025?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","course_group","date","correct_responses","attempts"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"attempts":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"course_group":{"type":"string","default":"","maxLength":80},"correct_responses":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","attempts":1,"course_group":"group-a","correct_responses":10},{"date":"2026-10-02","row_id":"row-2","attempts":2,"course_group":"group-b","correct_responses":20},{"date":"2026-10-03","row_id":"row-3","attempts":3,"course_group":"group-a","correct_responses":15},{"date":"2026-10-04","row_id":"row-4","attempts":4,"course_group":"group-b","correct_responses":30}],"maxItems":200,"minItems":1},"field":{"enum":["correct_responses","attempts"],"type":"string","default":"correct_responses"}}},"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_Pu9BvXNoVhZvF16QrgI3Q","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 string fields and applies numeric row ordering to assessment item observation records (correct_responses, attempts) for up to 200 rows, returning 2 independent analytical reports.","exampleAgentPrompt":"Can you normalise the course group strings and rank these assessment observation rows by correct_responses? I have 4 rows: row-1 on 2026-10-01 in group-a with 10 correct responses and 1 attempt, row-2 on 2026-10-02 in group-b with 20 correct responses and 2 attempts, row-3 on 2026-10-03 in group-a with 15 correct responses and 3 attempts, and row-4 on 2026-10-04 in group-b with 30 correct responses and 4 attempts.","exampleUseCases":[{"title":"Ranking quiz results by score","prompt":"I have a set of assessment observations for our online course — can you normalise the course group labels and rank all the rows by correct_responses? Here are my records: row-1 (2026-10-01, group-a, 10 correct, 1 attempt), row-2 (2026-10-02, group-b, 20 correct, 2 attempts), row-3 (2026-10-03, group-a, 15 correct, 3 attempts)."},{"title":"Ordering student attempts data","prompt":"Please take these assessment item records and apply string normalisation to course_group plus numeric ordering on the attempts field — I have rows for row-A through row-C across dates in October 2026 with attempt counts of 5, 2, and 8 respectively."},{"title":"Cleaning education data for LMS reporting","prompt":"I need to clean up assessment observation exports from our LMS — can you normalise the string fields and sort the rows by correct_responses for these 6 records I'm about to send you? Each has a row_id, date, course_group, correct_responses, and attempts."}],"resultDescription":"Two independent analytical reports covering: (1) string normalisation applied to text fields such as course_group, and (2) numeric row ordering applied to the selected field (correct_responses or attempts). Results reflect local analytical processing on the supplied rows with no external lookups or predictions.","failureModes":["More than 200 rows submitted — exceeds maximum batch limit","Missing required fields (row_id, course_group, date, correct_responses, attempts) on any row","Date not in YYYY-MM-DD format — fails pattern validation","Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000)","Invalid field selector — must be 'correct_responses' or 'attempts'","Empty rows array — minItems violation"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of assessment item observation data and need both string normalisation of categorical/text fields and numeric ordering of a numeric metric (correct_responses or attempts) in one call, at low cost ($0.01 USDC for 2 reports). Ideal for lightweight, local analytical preprocessing of education or LMS data without requiring any external lookup, ML prediction, or live data source.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T12:50:53.041Z","isFirstParty":false,"canonicalSlug":"assessment-item-observations-string-normalisation-numeric-row-ordering-aefe6c25"}