{"uid":"cap_w06g2EhGE963XsbaIEJMu","slug":"glossary-coverage-exact-row-deduplication-explicit-missing-value-fill-0ea3ba8b","name":"Glossary Coverage — Exact Row Deduplication + Explicit Missing-Value Fill","description":"Glossary coverage — Exact row deduplication + Explicit missing-value fill: Exact row deduplication + Explicit missing-value fill for supplied glossary coverage records (covered_terms, required_terms). 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-writing-20-054?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","document_group","date","covered_terms","required_terms"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"covered_terms":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"document_group":{"type":"string","default":"","maxLength":80},"required_terms":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","covered_terms":10,"document_group":"group-a","required_terms":1},{"date":"2026-10-02","row_id":"row-2","covered_terms":20,"document_group":"group-b","required_terms":2},{"date":"2026-10-03","row_id":"row-3","covered_terms":15,"document_group":"group-a","required_terms":3},{"date":"2026-10-04","row_id":"row-4","covered_terms":30,"document_group":"group-b","required_terms":4}],"maxItems":200,"minItems":1},"field":{"enum":["covered_terms","required_terms"],"type":"string","default":"covered_terms"},"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_pUKOnczaTm4xdTzhI7817","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":"Deduplicates rows and fills missing values in glossary coverage records containing covered_terms and required_terms fields, producing two analytical reports.","exampleAgentPrompt":"I have a glossary coverage dataset with up to 50 rows, each having a row_id, document_group, date, covered_terms, and required_terms — can you deduplicate the rows exactly and fill any missing covered_terms values using the median method?","exampleUseCases":[{"title":"Clean glossary audit data before reporting","prompt":"I have a glossary coverage export with some duplicate rows and a few missing covered_terms values — deduplicate it exactly and fill the blanks using median so I can generate a clean coverage report. Here are my rows with row_id, document_group, date, covered_terms, and required_terms."},{"title":"Impute missing required_terms for multiple document groups","prompt":"My glossary tracking table has nulls in the required_terms column across several document groups. Can you fill those missing required_terms values using the mean method and also deduplicate any repeated rows? I have about 80 rows total."},{"title":"Prepare terminology coverage data for compliance review","prompt":"Before our compliance review, I need to clean up our glossary coverage records — remove any exact duplicate rows and use zero-fill for any missing covered_terms. I'll send you the full dataset of around 150 rows with row_id, date, document_group, covered_terms, and required_terms fields."}],"resultDescription":"Two analytical reports covering: (1) exact row deduplication results showing which rows were removed as duplicates, and (2) explicit missing-value fill results showing which cells in the specified field (covered_terms or required_terms) were imputed and what values were assigned using the chosen method (zero, mean, or median). All processing is done locally with no external lookups.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Invalid date format (not YYYY-MM-DD) causes row validation failure","Missing required fields (row_id, document_group, date) cause schema validation errors","Numeric values outside ±1,000,000,000,000 range rejected","Invalid fill method or field enum value causes parameter error","Empty rows array returns an error"],"whenToPreferThis":"Choose this endpoint when you need to clean glossary or terminology coverage datasets by removing exact duplicate rows and imputing missing numeric values (covered_terms or required_terms) in a single call. It is ideal for data preparation pipelines where glossary coverage records need deduplication and null-filling before downstream analysis. Prefer this over general-purpose data tools when working specifically with covered_terms/required_terms structures and needing two combined reports in one low-cost call.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T12:31:23.987Z","isFirstParty":false,"canonicalSlug":"glossary-coverage-exact-row-deduplication-explicit-missing-value-fill-0ea3ba8b"}