{"uid":"cap_J-z-wHmF46X3GvEgZeIaj","slug":"training-assessments-record-quality-audit-string-normalisation-122b08c3","name":"Training Assessments — Record Quality Audit + String Normalisation + Grouped Numeric Summary","description":"Training assessments — Record quality audit + String normalisation + Grouped numeric summary: Record quality audit + String normalisation + Grouped numeric summary 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-11-194?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_6Kvi4BP9wCmyASLYEoSEx","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":"Audits record quality, normalises strings, and produces grouped numeric summaries for training assessment data (pre_score, post_score) across up to 200 rows in three independent reports.","exampleAgentPrompt":"Can you run a record quality audit, string normalisation, and grouped numeric summary on my training assessment data? I have rows with pre_score and post_score fields grouped by course_group — I want to analyse the pre_score field across up to 200 records.","exampleUseCases":[{"title":"Pre-training data quality check","prompt":"I have 150 training assessment records with pre_score and post_score values and course_group labels — can you audit them for quality issues, normalise the string fields, and give me a grouped numeric summary of the pre_score field by course_group?"},{"title":"Post-training score analysis by group","prompt":"Run the three analytical reports on my assessment dataset: quality audit, string normalisation, and a grouped summary of post_score broken down by course_group — I have about 80 rows to process."},{"title":"Course effectiveness data cleanup","prompt":"I'm cleaning up our corporate training records. Can you check the data quality, normalise the course_group strings, and produce a grouped numeric summary of pre_score for these assessment rows before I pass them to leadership?"}],"resultDescription":"Returns three independent analytical reports: (1) a record quality audit flagging missing values, malformed dates, and anomalies in pre_score/post_score; (2) a string normalisation report for fields like course_group; and (3) a grouped numeric summary of the selected score field (pre_score or post_score) aggregated by course_group — all computed locally without external lookups or predictions.","failureModes":["Exceeds 200-row limit — request rejected","Missing required fields (row_id, course_group, date, pre_score, post_score) — validation error","Invalid date format (must be YYYY-MM-DD) — schema rejection","Invalid field enum value (must be pre_score or post_score) — validation error","All numeric values are null — summary report may be empty or degenerate","Malformed JSON payload — parse error"],"whenToPreferThis":"Choose this endpoint when you need three bundled analytical operations — quality audit, string normalisation, and grouped numeric summary — on training assessment records containing pre_score and post_score fields, especially when cost efficiency matters (three reports for $0.01 USDC, up to 200 rows). Prefer this over generic analytics tools when the data is already structured in the expected schema and no external lookups, predictions, or live data are needed.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T18:51:40.607Z","isFirstParty":false,"canonicalSlug":"training-assessments-record-quality-audit-string-normalisation-122b08c3"}