{"uid":"cap_CqBfWc1ADxTDb8E-sHj-v","slug":"document-workflow-missing-value-fill-f85795b4","name":"Document Workflow Missing-Value Fill","description":"Document workflow - Explicit missing-value fill: Explicit missing-value fill for Document workflow. 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-document-workflow-fill-missing?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","department","date","documents","processing_minutes"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"documents":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"department":{"type":"string","default":"","maxLength":80},"processing_minutes":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","documents":10,"department":"group-a","processing_minutes":1},{"date":"2026-10-02","row_id":"row-2","documents":20,"department":"group-b","processing_minutes":2},{"date":"2026-10-03","row_id":"row-3","documents":15,"department":"group-a","processing_minutes":3},{"date":"2026-10-04","row_id":"row-4","documents":30,"department":"group-b","processing_minutes":4}],"maxItems":200,"minItems":1},"field":{"enum":["documents","processing_minutes"],"type":"string","default":"documents"},"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_eohv3o8-uJnPZJJmc8s1h","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 document workflow records (documents count or processing_minutes) using zero, mean, or median imputation across up to 200 rows.","exampleAgentPrompt":"I have document workflow data for our departments with some null values in the 'documents' field — can you fill those missing values using median imputation across these rows: row-1 (group-a, 2026-10-01, documents=10, processing_minutes=5), row-2 (group-b, 2026-10-02, documents=null, processing_minutes=3), row-3 (group-a, 2026-10-03, documents=15, processing_minutes=null)?","exampleUseCases":[{"title":"Clean department document counts","prompt":"I've got monthly document processing records for our departments but several rows have null document counts — fill those missing values using the median of the non-null rows."},{"title":"Zero-fill missing processing minutes","prompt":"Some of our document workflow rows are missing processing_minutes — can you fill those gaps with zero so I can run totals without errors?"},{"title":"Mean imputation for analytics report","prompt":"Before I run our weekly document workflow report, I need to impute missing values in the 'documents' field using the mean. Here are about 50 rows with some nulls mixed in."}],"resultDescription":"Returns the input dataset with null or missing numeric values in the specified field (documents or processing_minutes) replaced by the chosen imputation value (zero, mean, or median computed from the non-null values in the submitted rows). Each row retains its row_id, department, date, and all other fields.","failureModes":["All values in the target field are null — mean/median cannot be computed","Rows exceed 200-item limit — request rejected","Invalid date format (not YYYY-MM-DD) — validation error","Field name not in allowed enum (documents, processing_minutes) — rejected","Method not in allowed enum (zero, mean, median) — rejected","Empty rows array — rejected"],"whenToPreferThis":"Choose this endpoint when you have a small-to-medium dataset (≤200 rows) of document workflow records with missing numeric values in 'documents' or 'processing_minutes' fields and need a fast, cheap ($0.01) local imputation without external data enrichment or forecasting. Prefer this over general-purpose ETL tools when you want a simple, reproducible statistical fill (zero/mean/median) scoped to document processing analytics.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-27T13:07:12.549Z","isFirstParty":false,"canonicalSlug":"document-workflow-missing-value-fill-f85795b4"}