{"uid":"cap_7lctGvkodaFrxIqlZGzIM","slug":"vendor-evaluation-grouped-numeric-summary-two-measure-correlation-47fa4702","name":"Vendor Evaluation — Grouped Numeric Summary + Two-Measure Correlation","description":"Vendor evaluation — Grouped numeric summary + Two-measure correlation: Grouped numeric summary + Two-measure correlation 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-10-095?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_enNX0dJZwl5iuL-P88sAx","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 grouped descriptive statistics and a two-measure correlation report for vendor evaluation records containing supplied_score and maximum_score fields, across up to 200 rows.","exampleAgentPrompt":"Can you run a grouped numeric summary and a two-measure correlation on these vendor evaluation records? I have up to 50 rows with columns for row_id, company_group, date, supplied_score, and maximum_score — group the summary by company_group and use supplied_score as the primary field.","exampleUseCases":[{"title":"Quarterly vendor scorecard analysis","prompt":"I have 120 vendor evaluation records from Q3, each with a company group, a supplied score, and a maximum possible score. Can you give me a grouped numeric summary by company group and also check how strongly the supplied score correlates with the maximum score?"},{"title":"Supplier benchmarking across divisions","prompt":"We're comparing supplier performance across three divisions — group-a, group-b, and group-c. I've got about 80 rows of evaluation data with supplied_score and maximum_score. Can you compute the grouped descriptive stats by division and run a correlation between those two measures?"},{"title":"Vendor audit data review","prompt":"For our vendor audit I need to summarize 60 evaluation records. Each row has a row_id, a date, a company group, a supplied score, and a maximum score. Please give me the grouped numeric summary and tell me how correlated the supplied and maximum scores are."}],"resultDescription":"Returns two analytical reports: (1) a grouped numeric summary (e.g. count, mean, min, max, std dev) of the selected measure (supplied_score or maximum_score) broken down by company_group, and (2) a two-measure correlation report between supplied_score and maximum_score across all supplied rows. Both reports are computed locally from the provided data with no external lookups.","failureModes":["Input array exceeds 200 rows — request will be rejected","Missing required fields (row_id, company_group, date, supplied_score, maximum_score) will cause validation errors","Null values in supplied_score or maximum_score may reduce correlation validity","Malformed date strings not matching YYYY-MM-DD pattern will fail schema validation","Fewer than 2 rows may produce degenerate or undefined correlation results"],"whenToPreferThis":"Choose this endpoint when you have vendor evaluation data in hand (up to 200 rows) and need both grouped descriptive statistics and a correlation between two numeric measures (supplied_score vs maximum_score) in a single call. It is ideal for offline/batch analytical use cases where no live data lookup, prediction, or external action is needed, and cost efficiency matters (two reports for $0.01 USDC).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T18:53:39.559Z","isFirstParty":false,"canonicalSlug":"vendor-evaluation-grouped-numeric-summary-two-measure-correlation-47fa4702"}