{"uid":"cap_lDDDL0SaMhYyDsO1GWgGj","slug":"training-assessments-trailing-mean-series-adjacent-row-changes-2d0bcc03","name":"Training Assessments — Trailing Mean Series + Adjacent Row Changes","description":"Training assessments — Trailing mean series + Adjacent row changes: Trailing mean series + 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-11-146?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"},"window":{"type":"integer","default":2,"maximum":200,"minimum":2}}},"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_bMgV_BKxZRDTTSyaVueDb","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":"Computes a trailing mean series and adjacent row changes for pre_score or post_score fields across up to 200 training assessment records, returning two analytical reports.","exampleAgentPrompt":"Run a trailing mean series and adjacent row changes analysis on my training assessment data — I have rows with row_id, course_group, date, pre_score, and post_score — use the post_score field with a window size of 3 and give me both reports.","exampleUseCases":[{"title":"Track score trends across training cohorts","prompt":"I have 50 training assessment records with pre and post scores across several course groups. Can you compute a trailing mean series with a window of 4 on the post_score field and also show me the adjacent row changes so I can see how scores shifted session by session?"},{"title":"Detect improvement dips in e-learning sessions","prompt":"Here are 120 rows of our e-learning assessment data with dates, course groups, and pre/post scores. Run a rolling average with window 5 on pre_score and include the adjacent row changes — I want to spot any dips or spikes between consecutive sessions."},{"title":"Compare score momentum across a training program","prompt":"I've got 80 rows of assessment records from our onboarding training program. Use window size 3 on post_score to generate a trailing mean series and adjacent row changes report — I want to understand the momentum of score changes over the course duration."}],"resultDescription":"Two analytical reports per call: (1) a trailing mean series showing the rolling average of the selected score field (pre_score or post_score) over the specified window size for each row, and (2) an adjacent row changes report showing the difference between consecutive rows' score values — both computed locally on the supplied dataset of up to 200 records.","failureModes":["Fewer than 1 row supplied — minimum 1 row required","More than 200 rows submitted — exceeds maxItems limit","Invalid date format (must match YYYY-MM-DD pattern)","Window size less than 2 or greater than 200","Missing required fields: row_id, course_group, date, pre_score, or post_score","Invalid field enum value — must be 'pre_score' or 'post_score'","Payment not included or insufficient — requires 0.01 USDC via x402 protocol"],"whenToPreferThis":"Choose this endpoint when you need both a rolling/trailing mean time series and adjacent row-to-row change analysis on training assessment score data (pre_score or post_score) in a single low-cost call. Ideal when you have up to 200 pre-aggregated assessment records and want lightweight local statistical computation without sending data to an external prediction or ML service. Best suited for education analytics, L&D reporting, or training program evaluation workflows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T18:49:51.787Z","isFirstParty":false,"canonicalSlug":"training-assessments-trailing-mean-series-adjacent-row-changes-2d0bcc03"}