{"uid":"cap_jA7dZdT-_XiTZVWCeb3nY","slug":"vendor-evaluation-adjacent-row-changes-secondary-measure-weighted-mean-5eb1a18e","name":"Vendor Evaluation — Adjacent Row Changes + Secondary-Measure Weighted Mean","description":"Vendor evaluation — Adjacent row changes + Secondary-measure weighted mean: Adjacent row changes + Secondary-measure weighted mean for supplied vendor evaluation records (supplied_score, maximum_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-company-10-159?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","company_group","date","supplied_score","maximum_score"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"company_group":{"type":"string","default":"","maxLength":80},"maximum_score":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"supplied_score":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","company_group":"group-a","maximum_score":1,"supplied_score":10},{"date":"2026-10-02","row_id":"row-2","company_group":"group-b","maximum_score":2,"supplied_score":20},{"date":"2026-10-03","row_id":"row-3","company_group":"group-a","maximum_score":3,"supplied_score":15},{"date":"2026-10-04","row_id":"row-4","company_group":"group-b","maximum_score":4,"supplied_score":30}],"maxItems":200,"minItems":1},"field":{"enum":["supplied_score","maximum_score"],"type":"string","default":"supplied_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_ufD318TPkuEYL0CjxytU4","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 adjacent row changes and secondary-measure weighted mean analytics on vendor evaluation records (supplied_score, maximum_score) for up to 200 rows.","exampleAgentPrompt":"Can you run the adjacent row changes and weighted mean analysis on these vendor evaluation records? I have rows for group-a and group-b from 2026-10-01 to 2026-10-04, with supplied_score values of 10, 20, 15, 30 and maximum_score values of 1, 2, 3, 4 — use supplied_score as the primary field.","exampleUseCases":[{"title":"Quarterly vendor score drift analysis","prompt":"I have 50 vendor evaluation records across three supplier groups from Q3. Each row has a supplied_score and maximum_score. Can you calculate the adjacent row changes so I can see how scores shifted period by period, and also give me a weighted mean for the supplied_score field?"},{"title":"Supplier performance benchmarking","prompt":"Run a weighted mean and row-change report on these 120 vendor evaluation entries — the company groups are 'tier-1-supplier' and 'tier-2-supplier', dates range from 2025-01-01 to 2025-04-30, and I want to analyze the maximum_score field."},{"title":"Procurement audit data summary","prompt":"I need two analytics reports on my vendor data: adjacent row changes and a secondary-measure weighted mean. I've got 80 rows with row IDs, dates, company groups, and both supplied_score and maximum_score filled in — can you crunch those for me using supplied_score as the target field?"}],"resultDescription":"Returns two analytical reports: (1) adjacent row changes showing sequential differences between consecutive vendor evaluation records, and (2) a secondary-measure weighted mean computed across supplied vendor score data. Both reports are derived purely from the submitted rows with no external lookups or predictions.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, date, supplied_score, maximum_score) cause rejection","Invalid date format (non-YYYY-MM-DD) fails schema validation","Null values in both score fields may produce undefined weighted mean results","Invalid field enum value (not 'supplied_score' or 'maximum_score') rejected"],"whenToPreferThis":"Choose this endpoint when you need lightweight, deterministic batch analytics on vendor evaluation score data — specifically adjacent period-over-period changes and weighted mean summaries — without requiring external data sources, predictions, or professional assessments. Ideal for procurement teams processing up to 200 evaluation records at a time at minimal cost ($0.01 USDC for both reports).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T18:47:47.530Z","isFirstParty":false,"canonicalSlug":"vendor-evaluation-adjacent-row-changes-secondary-measure-weighted-mean-5eb1a18e"}