{"uid":"cap_B98FdZ2sxp6Bnz-U6GNpo","slug":"vendor-evaluation-two-measure-correlation-date-by-category-pivot-55c074c8","name":"Vendor Evaluation — Two-Measure Correlation + Date by Category Pivot","description":"Vendor evaluation — Two-measure correlation + Date by category pivot: Two-measure correlation + Date by category pivot 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-10-182?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_1C9-3UT1CUr4JlaUxydZC","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":"Analyzes up to 200 vendor evaluation records by computing correlation between supplied_score and maximum_score, plus a date-by-category pivot summary.","exampleAgentPrompt":"I have up to 200 vendor evaluation records with supplied_score and maximum_score fields — can you run a two-measure correlation between those scores and also pivot the data by date and company_group category so I can see both analyses at once?","exampleUseCases":[{"title":"Quarterly vendor scorecard analysis","prompt":"I've got 150 vendor evaluation rows from Q3, each with a supplied_score and a maximum_score plus a company_group label and date — run a correlation between the two scores and give me a date-by-category pivot so I can see how each vendor group trended over the quarter."},{"title":"Procurement scoring consistency check","prompt":"Can you check whether our suppliers' supplied_score values correlate with the maximum_score benchmarks across our 80 vendor records, and also pivot the data by date and supplier group so I can spot any patterns by category?"},{"title":"Vendor performance breakdown by group","prompt":"I need two reports on my vendor evaluation data: first, how correlated are supplied_score and maximum_score across all entries, and second, a pivot of those scores broken down by company_group and date — I have about 120 rows to analyze."}],"resultDescription":"Returns two independent analytical reports: (1) a two-measure correlation report quantifying the statistical relationship between supplied_score and maximum_score across submitted rows, and (2) a date-by-category pivot table summarizing scores grouped by date and company_group, all computed locally on the supplied data without any external lookups.","failureModes":["Submitting more than 200 rows returns an error — trim to the 200-row limit","Missing required fields (row_id, company_group, date, supplied_score, maximum_score) cause validation failure","Date values not matching YYYY-MM-DD format are rejected by schema validation","Null numeric values for both measures in all rows may produce degenerate correlation output","Sending fewer than 1 row triggers a minItems validation error"],"whenToPreferThis":"Choose this endpoint when you need both a correlation analysis and a date-by-category pivot on vendor evaluation data in a single low-cost call. It is ideal for procurement analysts who want to assess the relationship between supplied and maximum scores while also exploring how scores distribute across vendor groups over time, without needing live data lookups or external enrichment.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T18:52:19.143Z","isFirstParty":false,"canonicalSlug":"vendor-evaluation-two-measure-correlation-date-by-category-pivot-55c074c8"}