{"uid":"cap_02KsVJS4tb2P4137rgQKJ","slug":"software-quality-missing-value-fill-85b3a4a9","name":"Software Quality Missing Value Fill","description":"Software quality - Explicit missing-value fill: Explicit missing-value fill for Software quality. Up to 200 supplied typed records. Local numeric and data-quality processing; no external enrichment or forecasting. One of 25 profiles or calculations across 20 shared operations in this sector. 0.01 USDC includes one bounded explicit missing-value fill deliverable.","url":"https://market.datapackvibe.com/x402/assistant-sector-analytics-software-quality-fill-missing?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","component","date","issues_opened","issues_closed"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"component":{"type":"string","default":"","maxLength":80},"issues_closed":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"issues_opened":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","component":"group-a","issues_closed":1,"issues_opened":10},{"date":"2026-10-02","row_id":"row-2","component":"group-b","issues_closed":2,"issues_opened":20},{"date":"2026-10-03","row_id":"row-3","component":"group-a","issues_closed":3,"issues_opened":15},{"date":"2026-10-04","row_id":"row-4","component":"group-b","issues_closed":4,"issues_opened":30}],"maxItems":200,"minItems":1},"field":{"enum":["issues_opened","issues_closed"],"type":"string","default":"issues_opened"},"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_J9c1l1tc8xIgRnSbszJqC","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":"Fills missing numeric values in software quality issue tracking records using zero, mean, or median imputation methods","exampleAgentPrompt":"I have up to 200 rows of software component issue tracking data with some null issues_opened values — can you fill those missing values using median imputation across the dataset?","exampleUseCases":[{"title":"Clean bug tracker data before reporting","prompt":"My software quality dataset has some null issues_closed counts for components like group-a and group-b from last quarter — fill those missing values using mean imputation so I can run my weekly report."},{"title":"Zero-fill missing opened issues for dashboards","prompt":"I've got 150 rows of daily issue tracking records and some rows are missing issues_opened counts — fill all those nulls with zero so my dashboard doesn't break."},{"title":"Median impute for ML pipeline preprocessing","prompt":"Before I feed my software quality data into a model, I need to impute the missing issues_opened field across about 80 component records using median — can you do that?"}],"resultDescription":"Returns the input records with previously null or missing values in the specified field (issues_opened or issues_closed) replaced by the chosen fill value (zero, mean of non-null values, or median of non-null values). Up to 200 records are processed locally with no external enrichment.","failureModes":["Input array is empty or exceeds 200 items — validation error","Invalid date format (not YYYY-MM-DD) — schema validation failure","Unrecognized field or method enum value — rejected request","All values in the target field are null — mean/median may be undefined or zero","Payment not included or insufficient USDC — 402 payment required response"],"whenToPreferThis":"Choose this endpoint when you have software quality issue tracking data (issues opened/closed per component per date) with missing numeric values and need a fast, cheap ($0.01 USDC), local imputation using zero, mean, or median — no external enrichment needed. Prefer this over general-purpose data cleaning tools when your records conform to the component/date/issues schema and you want a deterministic, bounded operation on up to 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T18:48:39.564Z","isFirstParty":false,"canonicalSlug":"software-quality-missing-value-fill-85b3a4a9"}