{"uid":"cap_hZtLokQTTTZYGrZlX4YYF","slug":"procurement-research-two-measure-correlation-date-by-category-pivot-6da80a33","name":"Procurement Research — Two-Measure Correlation + Date by Category Pivot","description":"Procurement research — Two-measure correlation + Date by category pivot: Two-measure correlation + Date by category pivot for supplied procurement research records (quoted_amount, quoted_units). 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-11-182?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","company_group","date","quoted_amount","quoted_units"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"quoted_units":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"company_group":{"type":"string","default":"","maxLength":80},"quoted_amount":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","quoted_units":1,"company_group":"group-a","quoted_amount":10},{"date":"2026-10-02","row_id":"row-2","quoted_units":2,"company_group":"group-b","quoted_amount":20},{"date":"2026-10-03","row_id":"row-3","quoted_units":3,"company_group":"group-a","quoted_amount":15},{"date":"2026-10-04","row_id":"row-4","quoted_units":4,"company_group":"group-b","quoted_amount":30}],"maxItems":200,"minItems":1},"field":{"enum":["quoted_amount","quoted_units"],"type":"string","default":"quoted_amount"}}},"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__wFNXZexaGs7EyLfktHKj","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 procurement records: a Pearson/rank correlation between quoted_amount and quoted_units, and a date-by-category pivot table, for up to 200 rows.","exampleAgentPrompt":"Can you run a correlation analysis between quoted_amount and quoted_units plus a date-by-category pivot on these 150 procurement records, grouped by company_group and ordered by date?","exampleUseCases":[{"title":"Vendor quote quantity-price correlation","prompt":"I have 120 procurement quote rows with quoted_amount and quoted_units from different supplier groups — can you check whether higher unit counts actually correlate with higher amounts, and also pivot the data by date and company_group so I can see the breakdown?"},{"title":"Category spend pattern over time","prompt":"Here are 80 procurement records with dates and company groups — run a date-by-category pivot on quoted_amount so I can see how each supplier group's spend changes over time, and also give me the correlation between quoted_amount and quoted_units."},{"title":"Bid analysis for contract review","prompt":"I'm reviewing bids from our top vendors — I have 200 rows with company_group, date, quoted_amount, and quoted_units. Please compute the correlation between amount and units and pivot the quotes by date and company group so I can spot pricing patterns."}],"resultDescription":"Returns two analytical reports derived from the submitted procurement rows: (1) a two-measure correlation report showing the statistical relationship between quoted_amount and quoted_units, and (2) a date-by-category pivot table aggregating the selected field (quoted_amount or quoted_units) across company_group and date dimensions. Both reports are computed locally from supplied data with no external lookups.","failureModes":["Rows array exceeds 200 items — request rejected","Missing required fields (row_id, company_group, date, quoted_amount, quoted_units) — validation error","Date field does not match YYYY-MM-DD pattern — schema validation failure","Numeric values outside ±1,000,000,000,000 range — rejected","Too few rows with non-null values to compute a meaningful correlation — may return NaN or warning","Invalid field enum value other than quoted_amount or quoted_units — schema error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 procurement records with quoted_amount and quoted_units fields and need both a correlation statistic and a date-by-category pivot in a single low-cost call. It is ideal for offline/batch analytical workflows where no live data lookup, prediction, or external validation is needed. Prefer this over general analytics tools when working with structured procurement quote data 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":"2026-10-15T06:39:29.195Z","isFirstParty":false,"canonicalSlug":"procurement-research-two-measure-correlation-date-by-category-pivot-6da80a33"}