{"uid":"cap_MSpRjiNOBO7MpKLuLhCGQ","slug":"training-assessments-data-quality-suite-record-audit-string-fffe90af","name":"Training Assessments Data Quality Suite — Record Audit, String Normalisation & Exact Deduplication","description":"Training assessments — Record quality audit + String normalisation + Exact row deduplication: Record quality audit + String normalisation + Exact row deduplication for supplied training assessments records (pre_score, post_score). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-education-11-191?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}}},"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_89fg_uYx-SIANCZQzpvmL","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 three local analytical reports on training assessment records (pre_score, post_score): a record quality audit, string normalisation, and exact row deduplication — up to 200 rows per call.","exampleAgentPrompt":"Can you run a full data quality check on these training assessment records — audit for quality issues, normalise the strings, and remove exact duplicate rows? I have up to 50 rows with row_id, course_group, date, pre_score, and post_score fields.","exampleUseCases":[{"title":"Pre-analysis data cleaning for assessment scores","prompt":"Before I run my learning outcome analysis, can you audit these 80 training assessment rows for quality issues, normalise any messy string fields like course_group, and flag any exact duplicate records? Each row has a row_id, course_group, date, pre_score, and post_score."},{"title":"Deduplication check on imported LMS export","prompt":"I exported training records from our LMS and I suspect there are duplicate rows — can you run an exact row deduplication check plus a quality audit on this dataset of 120 assessment entries? Fields are row_id, course_group, date, pre_score, and post_score."},{"title":"String normalisation for course group labels","prompt":"Our course_group labels in the assessment data are inconsistently formatted — can you normalise the strings across these 60 training records and also give me a quality audit and deduplication report? Each record has row_id, course_group, date, pre_score, and post_score."}],"resultDescription":"Three independent analytical reports: (1) a record quality audit highlighting missing, null, or out-of-range values in the training assessment rows; (2) a string normalisation report showing standardised versions of text fields like course_group; and (3) an exact row deduplication report identifying and removing fully identical rows — all computed locally against the supplied data, 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, or post_score) — validation error returned","Date field not in YYYY-MM-DD format — pattern validation failure","row_id is empty or exceeds 80 characters — schema rejection","Empty rows array submitted — minItems constraint violation","Payment of 0.01 USDC not completed — 402 Payment Required response"],"whenToPreferThis":"Choose this endpoint when you need three bundled data-quality operations (quality audit, string normalisation, exact deduplication) on training assessment records in a single low-cost call. It is best suited for pre-processing education or HR training data (pre_score/post_score) before downstream analysis, when you have up to 200 rows and want a quick, local, no-external-lookup quality pass without building custom cleaning pipelines.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T18:52:08.975Z","isFirstParty":false,"canonicalSlug":"training-assessments-data-quality-suite-record-audit-string-fffe90af"}