{"uid":"cap_DhGQSM2WtCXlBFtICg_jh","slug":"training-assessments-numeric-distribution-and-missing-value-fill-59cdd1dd","name":"Training Assessments Numeric Distribution and Missing-Value Fill","description":"Training assessments — Numeric distribution + Explicit missing-value fill: Numeric distribution + Explicit missing-value fill 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-11-085?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"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"}}},"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_-0ImfLXHmTtHqih7eXkyY","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":"Computes numeric distribution statistics and fills missing values for training assessment pre/post scores across up to 200 rows.","exampleAgentPrompt":"I have 150 training assessment records with pre_score and post_score values — some scores are missing. Can you run a numeric distribution report on post_score and fill any missing post_score values using median imputation?","exampleUseCases":[{"title":"Post-training score distribution analysis","prompt":"I have 80 rows of employee training assessments with pre_score and post_score. Can you show me the numeric distribution of post_score and fill in any null post_scores using the mean?"},{"title":"Pre-score missing value imputation for onboarding data","prompt":"Our onboarding dataset has 120 assessment records across course groups — some pre_scores are missing. Can you fill the missing pre_scores with median values and give me the full distribution report?"},{"title":"Comparing score spread across course groups","prompt":"I've got training records for two course groups spanning Q4 — about 60 rows total — and some scores are null. Run a numeric distribution on pre_score and use zero-fill for the missing values so I can compare groups."}],"resultDescription":"Returns two analytical reports for the specified numeric field (pre_score or post_score): a numeric distribution summary (e.g. min, max, mean, median, percentiles, count) and a missing-value fill report showing which rows had nulls and what values were imputed using the chosen method (zero, mean, or median). All processing is local with no external data lookups.","failureModes":["Fewer than 1 row submitted — validation error","More than 200 rows submitted — exceeds row limit","Invalid date format (not YYYY-MM-DD) — schema validation failure","Unknown fill method or field enum value — rejected request","All score values are null — distribution report may be empty or contain only imputed values","Payment not received — x402 payment required before processing"],"whenToPreferThis":"Choose this endpoint when you need fast, local statistical analysis of training assessment score data (pre_score and post_score) combined with missing-value imputation in a single call. It is purpose-built for education/training datasets up to 200 rows and returns two bundled reports cheaply ($0.01 USDC). Prefer it over general-purpose analytics APIs when you specifically need numeric distribution + missing-value fill on structured assessment records without any live lookups or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-29T12:53:11.057Z","isFirstParty":false,"canonicalSlug":"training-assessments-numeric-distribution-and-missing-value-fill-59cdd1dd"}