{"uid":"cap_tBueNoa73RgSwoHm9Ab_l","slug":"training-assessments-string-normalisation-base-100-series-a0cb4a99","name":"Training Assessments — String Normalisation + Base-100 Series","description":"Training assessments — String normalisation + Base-100 series: String normalisation + Base-100 series 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-11-030?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"},"base_index":{"type":"integer","default":0,"maximum":199,"minimum":0}}},"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_z51fQ0pW5taTAOGfkmBUa","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 records: string normalisation and base-100 index series for pre_score or post_score fields, across up to 200 rows.","exampleAgentPrompt":"I have 50 training assessment rows with pre_score and post_score values across two course groups — can you run string normalisation and a base-100 index series on the pre_score field, starting the base index at row 0?","exampleUseCases":[{"title":"Pre/post score comparison across cohorts","prompt":"I've got training records for 120 learners in groups A and B with pre_score and post_score values — run string normalisation and a base-100 series on post_score starting at index 0 so I can compare how each group improved."},{"title":"Base-100 indexing for quarterly training data","prompt":"Here are our Q3 training assessment results for 80 rows with dates, course groups, and pre/post scores — compute the base-100 index series on pre_score using base index 0 and also give me the string-normalised output."},{"title":"Normalising scores before reporting","prompt":"Before I put together our training effectiveness report, can you normalise the pre_score column and generate a base-100 series for these 40 assessment records across three course groups, with the base index set to 0?"}],"resultDescription":"Returns two reports for the supplied rows: (1) string-normalised versions of the selected score field values, and (2) a base-100 index series derived from that field, both computed locally without any external lookups or predictions. Up to 200 rows are processed per call.","failureModes":["Missing required fields (row_id, course_group, date, pre_score, post_score) causes validation error","More than 200 rows submitted returns an error","Invalid date format (not YYYY-MM-DD) rejected by schema","field enum value not 'pre_score' or 'post_score' causes rejection","base_index out of range 0–199 causes error","Null scores may affect index calculation output"],"whenToPreferThis":"Use this endpoint when you need both string normalisation and base-100 indexing on training assessment score data in a single call, without requiring live lookups, ML predictions, or external integrations. It is cost-effective at $0.01 for two reports on up to 200 rows, making it ideal for batch processing of pre/post training score datasets where reproducible, offline analytical computation is sufficient.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-29T13:16:47.006Z","isFirstParty":false,"canonicalSlug":"training-assessments-string-normalisation-base-100-series-a0cb4a99"}