{"uid":"cap_7sWMWva15nh6R-KPEEtSm","slug":"vendor-evaluation-string-normalisation-and-numeric-row-ordering-5f190959","name":"Vendor Evaluation String Normalisation and Numeric Row Ordering","description":"Vendor evaluation — String normalisation + Numeric row ordering: String normalisation + Numeric row ordering 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-10-025?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_R6EiCNWE8PC8mPNlzd7Ko","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 string fields and orders rows numerically for up to 200 vendor evaluation records containing supplied_score and maximum_score values, producing 2 analytical reports.","exampleAgentPrompt":"I have 4 vendor evaluation records for group-a and group-b dated 2026-10-01 through 2026-10-04 with supplied_score values of 10, 20, 15, 30 and maximum_score values of 1, 2, 3, 4 — can you normalize the string fields and sort them by supplied_score, giving me 2 analytical reports?","exampleUseCases":[{"title":"Procurement vendor score ranking","prompt":"I've got 50 vendor evaluation rows from our Q3 procurement round — each has a company group, a date, a supplied score, and a maximum score. Can you normalize the string fields and sort all the rows by supplied_score so I can see which vendors ranked highest?"},{"title":"Supplier group comparison reports","prompt":"We have two supplier groups, Alpha and Beta, with evaluation records across October. Here are 80 rows with supplied_score and maximum_score for each entry — please normalize the data and give me 2 reports with numeric row ordering by maximum_score."},{"title":"Vendor shortlist data cleanup","prompt":"Before presenting our vendor shortlist, I need to clean up 120 evaluation records — they have row IDs, company groups, dates, supplied scores, and maximum scores. Can you run string normalization and sort them numerically by supplied_score so the data is presentation-ready?"}],"resultDescription":"Two analytical reports covering the submitted vendor evaluation rows: one applying string normalization to text fields (row_id, company_group, date) and one ordering rows numerically by the specified score field (supplied_score or maximum_score). Results are computed locally from the supplied data with no external lookups.","failureModes":["More than 200 rows submitted — request rejected due to maxItems limit","Missing required fields (row_id, supplied_score, or maximum_score) — validation error","Invalid date format not matching YYYY-MM-DD pattern — schema validation failure","Null numeric values in score fields may affect ordering output","Invalid field enum value (must be 'supplied_score' or 'maximum_score') — rejected"],"whenToPreferThis":"Choose this endpoint when you have up to 200 vendor or supplier evaluation rows with numeric scores and need both string normalization and numeric ranking in a single low-cost call. It is ideal for procurement or vendor management workflows where you want structured analytical reports without any external data lookup or prediction. At $0.01 USDC for two reports, it is cost-effective for lightweight data cleaning and sorting tasks on structured tabular vendor data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:40:47.119Z","isFirstParty":false,"canonicalSlug":"vendor-evaluation-string-normalisation-and-numeric-row-ordering-5f190959"}