{"uid":"cap_LLkuRBu8HMRYeVd9kfVrL","slug":"training-assessments-string-normalisation-numeric-interval-filter-17c50824","name":"Training Assessments — String Normalisation + Numeric Interval Filter","description":"Training assessments — String normalisation + Numeric interval filter: String normalisation + Numeric interval filter for supplied training assessments records (pre_score, post_score). 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-11-026?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","course_group","date","pre_score","post_score"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"pre_score":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"post_score":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"course_group":{"type":"string","default":"","maxLength":80}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","pre_score":10,"post_score":1,"course_group":"group-a"},{"date":"2026-10-02","row_id":"row-2","pre_score":20,"post_score":2,"course_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","pre_score":15,"post_score":3,"course_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","pre_score":30,"post_score":4,"course_group":"group-b"}],"maxItems":200,"minItems":1},"field":{"enum":["pre_score","post_score"],"type":"string","default":"pre_score"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_EF4BvzJ-yxEtFnrbASH7l","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 filters training assessment rows (pre_score, post_score) by a numeric interval, returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"Take my training assessment records — rows with course_group, date, pre_score and post_score — and run string normalisation plus filter by pre_score between 0 and 75; I have about 40 rows and want both analytical reports back.","exampleUseCases":[{"title":"Filter post-training scores to passing band","prompt":"I have 120 training assessment records with pre_score and post_score. Can you normalise the course_group strings and filter to only rows where post_score is between 60 and 100, then give me the two analysis reports?"},{"title":"Identify low pre-score learners","prompt":"From my 80-row assessment dataset, normalise the string fields and filter on pre_score between -1000 and 40 so I can see which learners started below a threshold before the course began."},{"title":"Course group data cleanup and score banding","prompt":"Our LMS exported 200 assessment rows with messy course_group labels and mixed pre/post scores. Please normalise those strings and filter post_score between 50 and 95 so we get the two cleaned analytical reports."}],"resultDescription":"Two independent analytical reports covering the supplied training assessment rows after string normalisation is applied to text fields and the chosen numeric field (pre_score or post_score) is filtered to the specified minimum–maximum interval. Reports are generated locally from the submitted data with no external lookups.","failureModes":["Fewer than 1 row submitted — validation error","More than 200 rows submitted — request rejected or truncated","Date field not matching YYYY-MM-DD pattern — schema validation failure","minimum greater than maximum — may return empty filtered result set","pre_score or post_score values outside ±1,000,000,000,000 — schema rejection","Missing required fields (row_id, course_group, date, pre_score, post_score) on any row — error","Payment not attached or insufficient USDC — 402 response"],"whenToPreferThis":"Choose this endpoint when you have up to 200 training assessment rows with pre_score and post_score fields and need both string normalisation on text columns and numeric interval filtering in a single $0.01 call that returns two analytical reports — without any need for live data lookup, ML prediction, or external integrations.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-28T12:42:09.724Z","isFirstParty":false,"canonicalSlug":"training-assessments-string-normalisation-numeric-interval-filter-17c50824"}