{"uid":"cap_-XFrRKyYaEe9xGyaFAbRa","slug":"training-assessments-data-quality-analytics-record-audit-string-34902d47","name":"Training Assessments Data Quality & Analytics — Record Audit, String Normalisation, Category Frequencies","description":"Training assessments — Record quality audit + String normalisation + Category frequencies: Record quality audit + String normalisation + Category frequencies 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-11-195?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_u3iN4sMAEiBArz8oRVSjZ","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 analytical reports (record quality audit, string normalisation, and category frequencies) on training assessment records containing pre-score and post-score fields, for up to 200 rows.","exampleAgentPrompt":"Can you run a record quality audit, string normalisation, and category frequency analysis on my training assessment data? 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":"Pre/post training data quality check","prompt":"I've got 150 rows of training assessment records with course groups and pre/post scores — can you audit them for quality issues like missing values or bad formats, normalise the course group strings, and tell me how frequently each course group appears?"},{"title":"Course cohort score distribution audit","prompt":"Before I submit my quarterly L&D report, can you run a record quality audit and category frequency count on these 80 training assessment rows for groups alpha, beta, and gamma, and also normalise the group name strings so they're consistent?"},{"title":"Validate training data pipeline output","prompt":"My data pipeline just produced a batch of 200 training assessment records with pre_score and post_score columns. Can you check them for quality problems, standardise the course_group text, and give me a frequency breakdown by course group?"}],"resultDescription":"Three structured analytical reports returned together: (1) a record quality audit flagging completeness, format issues, and anomalies across the supplied rows; (2) a string normalisation report showing standardised versions of text fields like course_group; and (3) a category frequency table counting occurrences of each course_group value across the dataset. No external lookups or predictions are made — all analysis is performed locally on the supplied data.","failureModes":["Empty rows array or fewer than 1 row returns a validation error","More than 200 rows submitted exceeds the limit and will be rejected","Missing required fields (row_id, course_group, date, pre_score, post_score) on any row may cause audit failures or partial results","Date strings not matching YYYY-MM-DD pattern will be flagged or rejected","pre_score or post_score values outside the allowed numeric range will be rejected","Malformed JSON input body returns a 400-level error"],"whenToPreferThis":"Choose this endpoint when you have a batch of up to 200 training assessment records with pre/post scores and want three data quality reports in a single low-cost call — record auditing, text normalisation, and category frequency analysis — without needing live predictions, external lookups, or professional scoring. Ideal for L&D teams, data engineers, or HR analysts who need to validate and summarise training data before downstream reporting.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T18:52:13.440Z","isFirstParty":false,"canonicalSlug":"training-assessments-data-quality-analytics-record-audit-string-34902d47"}