{"uid":"cap_OQ-Nzd4ZNvcwr3K_qcFGG","slug":"supplier-qualification-string-normalisation-missing-value-fill-9eb68a1b","name":"Supplier Qualification — String Normalisation + Missing-Value Fill","description":"Supplier qualification — String normalisation + Explicit missing-value fill: String normalisation + Explicit missing-value fill 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-02-037?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"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"}}},"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_9MGCkcMZUp1F7fBrqXFtb","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 fills missing values in supplier qualification records (checked_criteria, met_criteria) for up to 200 rows, returning 2 analytical reports per call.","exampleAgentPrompt":"Can you clean up my supplier qualification records — normalise the string fields and fill any missing checked_criteria values using median imputation? I have about 80 rows with columns for row_id, company_group, date, checked_criteria, and met_criteria.","exampleUseCases":[{"title":"Impute missing criteria scores for procurement","prompt":"I have 120 supplier qualification rows where some checked_criteria values are null — can you fill them using mean imputation and normalise the strings so the data is consistent before I load it into our system?"},{"title":"Standardise vendor qualification data export","prompt":"My vendor qualification export has messy strings and a bunch of missing met_criteria values across about 60 rows — please normalise everything and fill the blanks using median so I can run a comparison report."},{"title":"Prepare qualification data for compliance audit","prompt":"Before our compliance audit I need to clean up this dataset of 200 supplier qualification records — normalise all the string fields and zero-fill any missing checked_criteria values so there are no gaps."}],"resultDescription":"Two independent analytical reports per call: one covering string normalisation results and one covering explicit missing-value fills for the specified field (checked_criteria or met_criteria), applied to up to 200 supplied supplier qualification rows. No external lookups or predictions — all processing is local.","failureModes":["More than 200 rows submitted — request rejected with validation error","Missing required fields (row_id, company_group, date, checked_criteria, met_criteria) — row rejected or error returned","Invalid date format (non YYYY-MM-DD) — schema validation failure","Invalid method enum value (not zero/mean/median) — request rejected","Invalid field enum value (not checked_criteria/met_criteria) — request rejected","Empty rows array — validation error"],"whenToPreferThis":"Choose this endpoint when you need a cheap, fast, local transformation of supplier qualification records — specifically string normalisation and explicit missing-value imputation (zero, mean, or median) for checked_criteria or met_criteria columns — without any external lookup, prediction, or professional assessment. Ideal for pre-processing up to 200 rows before downstream analytics or compliance reporting.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T06:43:28.470Z","isFirstParty":false,"canonicalSlug":"supplier-qualification-string-normalisation-missing-value-fill-9eb68a1b"}