{"uid":"cap_LQBbp3P9iRnpRasx2Bk3l","slug":"training-assessments-string-normalisation-secondary-measure-weighted-123c14de","name":"Training Assessments — String Normalisation + Secondary-Measure Weighted Mean","description":"Training assessments — String normalisation + Secondary-measure weighted mean: String normalisation + Secondary-measure weighted mean 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-11-034?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"}}},"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_Bb-G7X3paqIurdwcHRYWW","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 computes a secondary-measure weighted mean for up to 200 training assessment rows containing pre_score and post_score values, returning two analytical reports per call.","exampleAgentPrompt":"Can you run string normalisation and compute a secondary-measure weighted mean on my training assessment records? I have up to 50 rows with course_group, date, pre_score, and post_score fields — use post_score as the target field.","exampleUseCases":[{"title":"L&D team score aggregation report","prompt":"I have 120 training assessment records with pre and post scores across several course groups — can you normalise the course group strings and compute the weighted mean of post_score so I can see performance by group?"},{"title":"Pre-score baseline analysis","prompt":"Run string normalisation and a secondary-measure weighted mean on these 80 pre_score records from our onboarding training sessions — I need two analytical reports to share with the training team."},{"title":"Blended learning data cleanup","prompt":"We exported assessment data from our LMS with messy course group labels and inconsistent casing — can you normalise those strings and calculate the weighted mean of pre_score across the rows, up to 200 records?"}],"resultDescription":"Two analytical reports per call: (1) a string normalisation report cleaning the course_group and related string fields, and (2) a secondary-measure weighted mean report for the selected field (pre_score or post_score) across all submitted rows. Results are computed locally using shared analytical engines with no external lookups or predictions.","failureModes":["Exceeding 200 rows causes a rejection — batch must be split","Missing required fields (row_id, course_group, date, pre_score, post_score) triggers validation error","Invalid date format (not YYYY-MM-DD) causes schema rejection","Null values in pre_score or post_score are accepted but may affect weighted mean calculation","Invalid field enum value (not pre_score or post_score) causes an error"],"whenToPreferThis":"Choose this endpoint when you need both string normalisation and a secondary-measure weighted mean computed together in a single low-cost call ($0.01 USDC) on training assessment data with up to 200 rows. Prefer it over general-purpose analytics tools when working with structured education/training records that include course group labels needing cleanup alongside numeric score aggregation. It is ideal for offline batch reporting without requiring live data connections or external prediction services.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T18:51:31.018Z","isFirstParty":false,"canonicalSlug":"training-assessments-string-normalisation-secondary-measure-weighted-123c14de"}