{"uid":"cap_OLKXmry-gbq0jkzK92g5W","slug":"supplier-qualification-string-normalisation-numeric-row-ordering-59a13203","name":"Supplier Qualification — String Normalisation + Numeric Row Ordering","description":"Supplier qualification — String normalisation + Numeric row ordering: String normalisation + Numeric row ordering 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-02-025?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_ktvOWQr-zxBn_c8MExS0O","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 sorts supplier qualification rows numerically by checked_criteria or met_criteria, returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"I have a list of supplier qualification records with company names and criteria scores — can you normalise the company_group strings and sort all rows numerically by checked_criteria? I'll give you up to 50 rows in the format with row_id, date, company_group, checked_criteria, and met_criteria.","exampleUseCases":[{"title":"Procurement vendor ranking","prompt":"I have 80 supplier evaluation rows with company groups and criteria scores — please normalise the company_group names and rank all rows numerically by met_criteria so I can see which vendors cleared the most qualification checks."},{"title":"Cleaning messy supplier group names","prompt":"Our supplier database has inconsistent company_group strings across 120 qualification records. Can you normalise those strings and also order the rows by checked_criteria so I can audit them cleanly?"},{"title":"Quarterly supplier qualification review","prompt":"Here are 150 supplier qualification entries from Q4 2026, each with a row_id, date, company_group, checked_criteria, and met_criteria. Normalise the company group labels and give me numeric row ordering by checked_criteria so I can prepare the review report."}],"resultDescription":"Two independent analytical reports: one covering string normalisation of the company_group field across submitted rows, and one providing numeric row ordering based on the selected field (checked_criteria or met_criteria). Results cover up to 200 input rows and are derived entirely from the supplied data with no external lookups.","failureModes":["More than 200 rows submitted — request rejected or truncated","Missing required fields (row_id, company_group, date, checked_criteria, met_criteria) — validation error","Invalid date format (not YYYY-MM-DD) — schema validation failure","Field selector not one of 'checked_criteria' or 'met_criteria' — enum validation error","Numeric values outside allowed range (-1e12 to 1e12) — validation error","Empty rows array — minimum items constraint violation"],"whenToPreferThis":"Choose this endpoint when you need lightweight, offline analytical processing of supplier qualification records — specifically string normalisation of company group labels combined with numeric ordering by qualification criteria — without requiring any live data lookup, prediction, or external API calls. It is cost-effective at $0.01 USDC for two reports on up to 200 rows, making it ideal for batch preprocessing steps in procurement pipelines or vendor audit workflows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-03T06:38:09.933Z","isFirstParty":false,"canonicalSlug":"supplier-qualification-string-normalisation-numeric-row-ordering-59a13203"}