{"uid":"cap_J4TvMZuv9XjJhjH8MeFiq","slug":"supplier-qualification-adjacent-row-changes-explicit-missing-value-fill-745b09d8","name":"Supplier Qualification — Adjacent Row Changes + Explicit Missing-Value Fill","description":"Supplier qualification — Adjacent row changes + Explicit missing-value fill: Adjacent row changes + 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-02-162?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_CHDVNJkf1Ffqjr8Gjv06E","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 supplier qualification records to detect adjacent row changes and fill missing values in checked_criteria or met_criteria fields across up to 200 rows.","exampleAgentPrompt":"I have 150 rows of supplier qualification records with company_group, date, checked_criteria, and met_criteria — some met_criteria values are null. Can you run the adjacent row change detection and fill those missing met_criteria values using median, then give me both reports?","exampleUseCases":[{"title":"Fill missing criteria scores before audit","prompt":"I have supplier qualification records where some checked_criteria values are null. Can you fill those missing values using the mean and also show me the adjacent row changes for checked_criteria across all 120 rows?"},{"title":"Spot qualification metric shifts over time","prompt":"I want to see how our met_criteria values are changing row by row across these 80 supplier records grouped by company — run the adjacent row change report and fill any nulls with the median value."},{"title":"Clean and compare multi-group supplier data","prompt":"We have two supplier groups — group-a and group-b — with 200 qualification rows total, some missing checked_criteria. Fill the missing ones with zero and give me the adjacent change report so I can see where big jumps happen."}],"resultDescription":"Returns two analytical reports: (1) an adjacent row change report showing delta values between consecutive rows for the selected field (checked_criteria or met_criteria), grouped by company_group; and (2) a missing-value fill report showing which null values were replaced and with what imputed value (zero, mean, or median). Both reports are computed locally from the supplied data with no external lookups.","failureModes":["Input array exceeds 200 rows — request rejected","Invalid date format (not YYYY-MM-DD) causes validation error","Both checked_criteria and met_criteria are null across all rows — fill report may be trivial","Invalid method enum value (not zero/mean/median) causes schema error","row_id missing or empty string causes required-field validation failure","Payment of 0.01 USDC not completed — x402 payment required before response"],"whenToPreferThis":"Choose this endpoint when you have tabular supplier qualification records and need two specific analytical operations simultaneously — adjacent row-to-row change detection and missing numeric value imputation — without any external data enrichment, live lookups, or predictive modeling. It is ideal for procurement data cleaning pipelines where both gap-filling and change detection are needed in a single low-cost call on up to 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T18:53:44.267Z","isFirstParty":false,"canonicalSlug":"supplier-qualification-adjacent-row-changes-explicit-missing-value-fill-745b09d8"}