{"uid":"cap_-rbtk5djOBa7m1rd9pA6p","slug":"training-assessments-string-normalisation-adjacent-row-changes-60dae23f","name":"Training Assessments — String Normalisation + Adjacent Row Changes","description":"Training assessments — String normalisation + Adjacent row changes: String normalisation + Adjacent row changes 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-11-029?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_iCCeazDfaMJta2aGO3Rh_","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":"Runs two analytical reports on training assessment data: string normalisation and adjacent row changes for pre_score or post_score across up to 200 rows.","exampleAgentPrompt":"Analyze my training assessment records and run string normalisation plus adjacent row changes on the pre_score field — I have 4 rows: row-1 on 2026-10-01 for group-a with pre_score 10 and post_score 1, row-2 on 2026-10-02 for group-b with pre_score 20 and post_score 2, row-3 on 2026-10-03 for group-a with pre_score 15 and post_score 3, and row-4 on 2026-10-04 for group-b with pre_score 30 and post_score 4.","exampleUseCases":[{"title":"Course group score delta tracking","prompt":"I have training assessment data for two course groups across the past week — can you run adjacent row changes on the post_score field for these 5 rows so I can see how scores shifted between sessions? Row-1: 2026-10-01, group-a, pre=12, post=8; Row-2: 2026-10-02, group-b, pre=22, post=15; Row-3: 2026-10-03, group-a, pre=18, post=11; Row-4: 2026-10-04, group-b, pre=27, post=19; Row-5: 2026-10-05, group-a, pre=25, post=22."},{"title":"Pre-training score normalisation audit","prompt":"Can you normalize the pre_score strings and flag any adjacent row changes across these training records for me? I've got 3 rows: row-1 on 2026-11-01 for cohort-x with pre_score 55 and post_score 70, row-2 on 2026-11-02 for cohort-y with pre_score 60 and post_score 68, row-3 on 2026-11-03 for cohort-x with pre_score 50 and post_score 72."},{"title":"L&D program score consistency check","prompt":"We're reviewing our L&D program data and need string normalisation plus row-to-row change analysis on the post_score field for this batch — 4 records: assessment-1 dated 2026-09-10 in group-finance, pre=80, post=85; assessment-2 dated 2026-09-11 in group-hr, pre=75, post=78; assessment-3 dated 2026-09-12 in group-finance, pre=82, post=90; assessment-4 dated 2026-09-13 in group-hr, pre=70, post=73."}],"resultDescription":"Two analytical reports per call: (1) a string normalisation report standardizing course_group and date fields across submitted rows, and (2) an adjacent row changes report showing delta values between consecutive rows for the selected score field (pre_score or post_score). Results are computed locally with no external lookups.","failureModes":["Fewer than 1 row submitted — validation error","More than 200 rows submitted — rejected with maxItems error","Invalid date format (not YYYY-MM-DD) — pattern validation failure","Missing required fields (row_id, course_group, date, pre_score, post_score) — schema error","Invalid field selector (not pre_score or post_score) — enum validation error","Score values outside allowed numeric range — validation failure"],"whenToPreferThis":"Choose this endpoint when you need two lightweight, offline analytical reports — string normalisation and adjacent row change detection — on training assessment data (pre/post scores) without any live prediction, external lookup, or professional evaluation. It is ideal for small-to-medium batches (up to 200 rows) of education or L&D assessment records and costs only $0.01 USDC per call for both reports combined.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T18:51:14.802Z","isFirstParty":false,"canonicalSlug":"training-assessments-string-normalisation-adjacent-row-changes-60dae23f"}