{"uid":"cap_ChgcARK2vNPRfC-U7ds3U","slug":"training-assessments-numeric-row-ordering-explicit-missing-value-fill-5fb850cf","name":"Training Assessments — Numeric Row Ordering + Explicit Missing-Value Fill","description":"Training assessments — Numeric row ordering + Explicit missing-value fill: Numeric row ordering + 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-11-124?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_C40wDyOczSTija1UjIiak","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":"Sorts training assessment rows numerically and fills missing pre_score or post_score values using zero, mean, or median imputation, returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"I have training assessment records for two course groups with some missing pre_score values — can you sort all the rows numerically and fill in the missing pre_score entries using median imputation? Here are up to 200 rows with row_id, course_group, date, pre_score, and post_score fields.","exampleUseCases":[{"title":"Impute missing pre-test scores","prompt":"I have a dataset of 80 training assessment rows and some pre_score values are null. Can you sort them numerically by row and fill in the missing pre_scores using median imputation so I have a clean dataset?"},{"title":"Zero-fill missing post-test results","prompt":"My course completion records have blank post_score entries for a few participants. Please order all 150 rows numerically and replace any missing post_score values with zero so every row is complete."},{"title":"Mean-fill scores before group comparison","prompt":"Before I compare group-a and group-b performance, I need my 200 assessment rows sorted numerically and any missing pre_score values filled using the mean. Can you run both the ordering and imputation reports?"}],"resultDescription":"Returns two analytical reports: (1) the assessment rows sorted in numeric order by row, and (2) the specified field (pre_score or post_score) with missing values explicitly filled using the chosen method (zero, mean, or median). Both reports are derived from the supplied data using local analytical engines with no external lookups.","failureModes":["More than 200 rows submitted — exceeds maximum row limit","Missing required fields (row_id, course_group, date, pre_score, post_score) on any row","Invalid date format (must match YYYY-MM-DD pattern)","Invalid method value outside enum (zero, mean, median)","Invalid field value outside enum (pre_score, post_score)","Empty rows array submitted","Score values outside allowed numeric range (-1,000,000,000,000 to 1,000,000,000,000)"],"whenToPreferThis":"Choose this endpoint when you need to both numerically order training assessment records and impute missing numeric scores (pre_score or post_score) in a single paid call, getting two structured reports back. Ideal for preprocessing education or training data before downstream analysis, especially when your dataset has up to 200 rows with null score entries and you want a deterministic fill method (zero, mean, or median) without involving any live prediction or external data sources.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T18:49:52.569Z","isFirstParty":false,"canonicalSlug":"training-assessments-numeric-row-ordering-explicit-missing-value-fill-5fb850cf"}