{"uid":"cap_F-i-bWN38rT_zjnOKFlip","slug":"procurement-cycles-analyzer-category-frequencies-numeric-row-ordering-a90ac67b","name":"Procurement Cycles Analyzer — Category Frequencies + Numeric Row Ordering","description":"Procurement cycles — Category frequencies + Numeric row ordering: Category frequencies + Numeric row ordering for supplied procurement cycles records (request_days, approval_days). 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-operations-06-100?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","team_group","date","request_days","approval_days"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"team_group":{"type":"string","default":"","maxLength":80},"request_days":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"approval_days":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","team_group":"group-a","request_days":10,"approval_days":1},{"date":"2026-10-02","row_id":"row-2","team_group":"group-b","request_days":20,"approval_days":2},{"date":"2026-10-03","row_id":"row-3","team_group":"group-a","request_days":15,"approval_days":3},{"date":"2026-10-04","row_id":"row-4","team_group":"group-b","request_days":30,"approval_days":4}],"maxItems":200,"minItems":1},"field":{"enum":["request_days","approval_days"],"type":"string","default":"request_days"}}},"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_GgXayh8zLQJPVKrjTc8fv","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 procurement cycle records to produce category frequency breakdowns and numeric row ordering for request_days or approval_days fields, across up to 200 rows.","exampleAgentPrompt":"Can you analyze these procurement cycle records — I have rows with team_group, date, request_days, and approval_days — and give me both a category frequency breakdown by team group and a numeric ranking of all rows by approval_days?","exampleUseCases":[{"title":"Procurement backlog ranking by approval time","prompt":"I have 50 procurement cycle records with request_days and approval_days for teams like 'logistics' and 'finance' — can you rank all the rows numerically by approval_days and also show me how frequently each team group appears?"},{"title":"Team activity frequency audit","prompt":"Here are our procurement cycle records from last quarter across four team groups. Can you count how many times each team group shows up and order the rows by request_days so I can see who's submitting the most and fastest?"},{"title":"Approval bottleneck identification","prompt":"I want to understand which team groups dominate our procurement pipeline and which individual rows have the longest approval cycles — please run category frequencies and numeric row ordering on these records using approval_days as the field."}],"resultDescription":"Returns two independent reports: (1) a category frequency table showing how often each team_group value appears in the supplied rows, and (2) a numerically ordered list of rows ranked by the selected field (request_days or approval_days). Both reports are computed locally from the supplied data with no external lookups.","failureModes":["Fewer than 1 or more than 200 rows supplied — rejected by schema validation","Missing required fields (row_id, team_group, date, request_days, approval_days) on any row","Date field not matching YYYY-MM-DD pattern — validation error","Invalid field enum value (must be 'request_days' or 'approval_days')","Numeric values outside allowed range (±1,000,000,000,000) rejected","Payment not completed via x402 protocol — endpoint not executed"],"whenToPreferThis":"Choose this endpoint when you have procurement cycle data (up to 200 rows) and need both a category frequency summary and a numeric row ranking in a single API call for a flat $0.01 USDC fee. It is ideal for lightweight, offline analytical tasks on supplied data without requiring any external database, prediction model, or professional assessment. Prefer alternatives if you need more than 200 rows, real-time lookups, or analytical reports beyond frequency counting and row ordering.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T12:30:50.002Z","isFirstParty":false,"canonicalSlug":"procurement-cycles-analyzer-category-frequencies-numeric-row-ordering-a90ac67b"}