{"uid":"cap_Oh5P55WFVOW5xOZ_WX4QO","slug":"training-assessments-numeric-interval-filter-two-measure-correlation-219a70c9","name":"Training Assessments — Numeric Interval Filter + Two-Measure Correlation","description":"Training assessments — Numeric interval filter + Two-measure correlation: Numeric interval filter + Two-measure correlation 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-11-131?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_g_6jdi0BKMNdshassviKc","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":"Filters training assessment rows by a numeric score range and computes correlation between pre_score and post_score across up to 200 supplied records, returning two analytical reports.","exampleAgentPrompt":"I have training assessment records with pre_score and post_score for up to 150 students across two course groups — can you filter for rows where pre_score falls between 10 and 80, and also compute the correlation between pre_score and post_score across all rows?","exampleUseCases":[{"title":"Pre/Post Score Correlation for Training Cohort","prompt":"I've got assessment results for 120 trainees — each row has a course_group, date, pre_score, and post_score. Filter the rows where post_score is between 50 and 100, and compute the correlation between pre_score and post_score across the full dataset."},{"title":"Identifying Low-Baseline Learner Improvement","prompt":"Here are 80 rows of training assessment data. I want to filter for rows where pre_score is between 0 and 40 to find low-baseline learners, and then see how correlated their pre-scores are with their post-scores."},{"title":"Course Group Score Analysis by Date Range","prompt":"I have training data from Q4 for two course groups, with pre_score and post_score for each participant. Filter records where pre_score falls between 20 and 60, and generate the two-measure correlation report between pre_score and post_score."}],"resultDescription":"Returns two independent analytical reports: (1) a filtered list of assessment rows where the selected field (pre_score or post_score) falls within the specified numeric minimum and maximum interval, and (2) a correlation analysis between pre_score and post_score across the supplied dataset. Results are computed locally on the supplied data with no external lookups.","failureModes":["More than 200 rows submitted — request rejected due to row limit","Missing required fields (row_id, course_group, date, pre_score, post_score) in any row causes validation error","Invalid date format (not YYYY-MM-DD) causes schema rejection","Minimum value greater than maximum value may produce empty filter result","All pre_score or post_score values are null — correlation cannot be computed","Payment of 0.01 USDC not received — request rejected"],"whenToPreferThis":"Choose this endpoint when you have up to 200 training assessment records with pre_score and post_score fields and need both a numeric interval filter on one score field and a correlation analysis between the two measures in a single $0.01 call. Ideal for lightweight, offline statistical analysis of training data without needing a full analytics platform or external data service.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T18:50:53.555Z","isFirstParty":false,"canonicalSlug":"training-assessments-numeric-interval-filter-two-measure-correlation-219a70c9"}