{"uid":"cap_GEEcIrsSmCc0J8cBQ343S","slug":"supplier-qualification-two-measure-correlation-date-by-category-pivot-50c36eae","name":"Supplier Qualification — Two-Measure Correlation + Date-by-Category Pivot","description":"Supplier qualification — Two-measure correlation + Date by category pivot: Two-measure correlation + Date by category pivot for supplied supplier qualification records (checked_criteria, met_criteria). 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-02-182?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","company_group","date","checked_criteria","met_criteria"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"met_criteria":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"company_group":{"type":"string","default":"","maxLength":80},"checked_criteria":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","met_criteria":1,"company_group":"group-a","checked_criteria":10},{"date":"2026-10-02","row_id":"row-2","met_criteria":2,"company_group":"group-b","checked_criteria":20},{"date":"2026-10-03","row_id":"row-3","met_criteria":3,"company_group":"group-a","checked_criteria":15},{"date":"2026-10-04","row_id":"row-4","met_criteria":4,"company_group":"group-b","checked_criteria":30}],"maxItems":200,"minItems":1},"field":{"enum":["checked_criteria","met_criteria"],"type":"string","default":"checked_criteria"}}},"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_pWM9dviFX1rz__PaoKCUF","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 local analytical reports on supplier qualification data: a Pearson correlation between checked_criteria and met_criteria, and a date-by-category pivot table, for up to 200 rows.","exampleAgentPrompt":"I have up to 200 rows of supplier qualification records with row IDs, company groups, dates, checked_criteria counts, and met_criteria counts — can you run two reports on them: a correlation between the two numeric measures and a pivot of met_criteria values by date and company group?","exampleUseCases":[{"title":"Procurement compliance correlation check","prompt":"I've got 150 supplier qualification records with checked_criteria and met_criteria values across several company groups — run me a correlation between those two measures and also pivot the met_criteria by date and group so I can see patterns."},{"title":"Vendor group performance pivot","prompt":"Can you take these supplier qualification rows for group-a and group-b from October 2026 and produce a date-by-category pivot of checked_criteria plus tell me how correlated checked and met criteria are across all rows?"},{"title":"Quarterly supplier audit summary","prompt":"I need to summarize this batch of supplier qualification records — give me the correlation between how many criteria were checked versus how many were met, and break the checked_criteria values out in a pivot by date and company group."}],"resultDescription":"Returns two independent analytical reports: (1) a two-measure correlation coefficient and supporting statistics between checked_criteria and met_criteria across the supplied rows, and (2) a date-by-category pivot table aggregating the selected field (checked_criteria or met_criteria) grouped by date and company_group. Both reports are computed locally without any external lookups or predictions.","failureModes":["Fewer than 1 row supplied — returns validation error","More than 200 rows supplied — rejected, exceeds maxItems limit","Missing required fields (row_id, company_group, date, checked_criteria, met_criteria) — schema validation failure","Date field not matching YYYY-MM-DD pattern — rejected","All values for one measure are null — correlation cannot be computed","Invalid field enum value — request rejected","Payment of 0.01 USDC not included or invalid — 402 payment required error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 supplier qualification records with checked_criteria and met_criteria numeric fields and want both a two-measure correlation and a date-by-company-group pivot in a single low-cost ($0.01 USDC) call. Prefer this over general-purpose analytics tools when you need both report types simultaneously on procurement/vendor compliance data without requiring a live external data source or predictive modeling.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T06:43:37.008Z","isFirstParty":false,"canonicalSlug":"supplier-qualification-two-measure-correlation-date-by-category-pivot-50c36eae"}