{"uid":"cap_-a_sqKaPgJHZZMvsPbCTX","slug":"supplier-qualification-string-normalisation-category-frequencies-d4af1f6b","name":"Supplier Qualification — String Normalisation + Category Frequencies","description":"Supplier qualification — String normalisation + Category frequencies: String normalisation + Category frequencies 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-02-024?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}}},"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_gG9dj2Rxwxu1yRFv4lzq2","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 up to 200 supplier qualification records to produce two local reports: string normalization of text fields and category frequency counts for checked_criteria and met_criteria.","exampleAgentPrompt":"Can you run string normalization and category frequency analysis on my supplier qualification records? I have 4 rows: row-1 for group-a on 2026-10-01 with 10 checked_criteria and 1 met, row-2 for group-b on 2026-10-02 with 20 checked and 2 met, row-3 for group-a on 2026-10-03 with 15 checked and 3 met, row-4 for group-b on 2026-10-04 with 30 checked and 4 met.","exampleUseCases":[{"title":"Supplier qualification audit by group","prompt":"I have 50 supplier qualification records across three company groups from Q3. Can you normalize the string fields and show me the frequency breakdown of checked_criteria and met_criteria for each group?"},{"title":"Criteria pass-rate distribution analysis","prompt":"Here are 120 rows of supplier qualification data with company_group, date, checked_criteria, and met_criteria filled in. Run the category frequency report so I can see which criteria ranges appear most often and how many were met."},{"title":"Vendor onboarding data cleanup","prompt":"We're onboarding new vendors and I want to clean up the qualification records before importing — can you normalize the text fields in these 80 rows and give me a frequency count of how often each criteria category shows up?"}],"resultDescription":"Two independent analytical reports per call: (1) a string normalization report covering text fields such as company_group across all submitted rows, and (2) a category frequency report showing how often each value range or category appears in checked_criteria and met_criteria. Results are derived entirely from the submitted data with no external lookups or predictions.","failureModes":["Submitting more than 200 rows returns an error — batch must be split","Missing required fields (row_id, company_group, date, checked_criteria, met_criteria) cause validation failure","Date values not matching YYYY-MM-DD pattern are rejected","Numeric criteria values outside ±1,000,000,000,000 are rejected","Empty rows array is not accepted (minItems: 1)","Payment of 0.01 USDC must be provided via x402 protocol or request is rejected"],"whenToPreferThis":"Choose this endpoint when you have up to 200 supplier qualification records and need fast, local string normalization combined with category frequency analysis in a single low-cost call ($0.01 USDC). It is ideal for procurement teams wanting batch analytical reports without any external data lookups, ML predictions, or professional assessments. Prefer it over generic analytics tools when your data fits the specific supplier qualification schema (checked_criteria, met_criteria, company_group, date).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:40:45.491Z","isFirstParty":false,"canonicalSlug":"supplier-qualification-string-normalisation-category-frequencies-d4af1f6b"}