{"uid":"cap_n_UHV-kVUUY53Bh_brobw","slug":"procurement-research-string-normalisation-numeric-row-ordering-571c939f","name":"Procurement Research — String Normalisation + Numeric Row Ordering","description":"Procurement research — String normalisation + Numeric row ordering: String normalisation + Numeric row ordering 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-11-025?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_uz3IkDae0QdRDWxyI8S_G","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":"Normalises company group strings and orders rows numerically by quoted_amount or quoted_units for up to 200 procurement research records, producing 2 analytical reports per call.","exampleAgentPrompt":"Can you normalise the company group names and sort these procurement records by quoted_amount? I have 4 rows: row-1 group-a 2026-10-01 amount 10 units 1, row-2 group-b 2026-10-02 amount 20 units 2, row-3 group-a 2026-10-03 amount 15 units 3, row-4 group-b 2026-10-04 amount 30 units 4 — I need both the string normalisation and numeric ordering reports.","exampleUseCases":[{"title":"Vendor quote ranking by price","prompt":"I have a list of supplier quotes with company names, dates, and amounts — can you normalise the supplier names and rank all the rows by quoted_amount so I can see who's cheapest to most expensive? Here are 8 rows of procurement data."},{"title":"Procurement unit volume ordering","prompt":"Sort these 50 procurement records by quoted_units and clean up the company group labels at the same time — I need both reports so I can see which vendors are offering the highest unit volumes after normalisation."},{"title":"Supplier bid data cleanup","prompt":"I've got 120 rows of supplier bid data with messy company group names and mixed quote amounts — can you normalise the strings and order the rows numerically by quoted_amount so the data is ready for our procurement review?"}],"resultDescription":"Two analytical reports per call: (1) a string-normalised view of company_group labels across all input rows, and (2) the rows ordered numerically by the selected field (quoted_amount or quoted_units). No external lookups, predictions, or live data — purely local computation on the supplied records.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, company_group, date, quoted_amount, quoted_units) cause row-level rejection","Invalid date format (non-YYYY-MM-DD) fails pattern validation","Numeric values outside ±1,000,000,000,000 are rejected","Empty rows array is rejected (minItems: 1)","Invalid field enum value (not quoted_amount or quoted_units) causes request failure","Payment failure results in no report being returned"],"whenToPreferThis":"Choose this endpoint when you need both string normalisation of company group labels and numeric row ordering of procurement records in a single low-cost call ($0.01 USDC). Ideal for batch preprocessing of up to 200 supplier quote rows before further analysis. Prefer this over general-purpose data tools when working specifically with procurement datasets containing quoted_amount and quoted_units fields and needing dual analytical outputs.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:39:48.599Z","isFirstParty":false,"canonicalSlug":"procurement-research-string-normalisation-numeric-row-ordering-571c939f"}