{"uid":"cap_8SAQFVt9--1Qe55JN81wO","slug":"supplier-qualification-numeric-distribution-explicit-missing-value-fill-d240febb","name":"Supplier Qualification — Numeric Distribution + Explicit Missing-Value Fill","description":"Supplier qualification — Numeric distribution + Explicit missing-value fill: Numeric distribution + 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-02-085?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_fUSgzBsXCbQTCBCmbeODa","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":"Computes numeric distribution statistics and fills missing values (zero/mean/median) for supplier qualification fields (checked_criteria, met_criteria) across up to 200 rows, producing two analytical reports.","exampleAgentPrompt":"I have 150 supplier qualification records with some null values in checked_criteria and met_criteria — can you analyze the numeric distribution of the met_criteria field and fill any missing values using the median method?","exampleUseCases":[{"title":"Supplier audit data cleanup before reporting","prompt":"I'm preparing a supplier audit report and have about 80 rows of qualification data with some missing met_criteria values. Can you fill those nulls using the mean and also give me the full numeric distribution of met_criteria so I can see the spread?"},{"title":"Vendor scoring analysis by company group","prompt":"I have 120 supplier qualification records across multiple company groups with checked_criteria and met_criteria scores — some are null. Can you compute the distribution of checked_criteria and fill missing values with zero so I can compare vendors fairly?"},{"title":"Procurement data QA before pipeline ingestion","prompt":"Before I load this supplier dataset into our pipeline, can you run a numeric distribution analysis on the met_criteria field and replace any missing values using the median? I have about 60 rows with row IDs, dates, and company groups already filled in."}],"resultDescription":"Returns two analytical reports: (1) a numeric distribution summary (e.g. min, max, mean, median, std dev, percentiles) for the selected field (checked_criteria or met_criteria), and (2) a version of the dataset with missing values explicitly filled using the chosen method (zero, mean, or median) — covering up to 200 supplier qualification rows.","failureModes":["Fewer than 1 row submitted — request rejected","More than 200 rows submitted — exceeds maximum row limit","Invalid date format (not YYYY-MM-DD) — validation error","Field value outside allowed numeric range (±1,000,000,000,000) — schema error","Unknown fill method specified outside zero/mean/median enum — rejected","Missing required fields (row_id, company_group, date) — schema validation failure"],"whenToPreferThis":"Choose this endpoint when you need lightweight, local statistical analysis of supplier qualification numeric fields — specifically distribution profiling and missing-value imputation — without needing live lookup, ML prediction, or external data enrichment. Ideal for pre-processing supplier data before ingestion into a pipeline, or for quick QA on small-to-medium datasets (up to 200 rows) at minimal cost ($0.01 USDC for 2 reports).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:40:39.673Z","isFirstParty":false,"canonicalSlug":"supplier-qualification-numeric-distribution-explicit-missing-value-fill-d240febb"}