{"uid":"cap_Vy1Qt_OYC566ve1DkLo4f","slug":"release-note-coverage-string-normalisation-and-missing-value-fill-59d216e5","name":"Release Note Coverage String Normalisation and Missing-Value Fill","description":"Release note coverage — String normalisation + Explicit missing-value fill: String normalisation + Explicit missing-value fill for supplied release note coverage records (documented_changes, released_changes). 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-15-037?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","document_group","date","documented_changes","released_changes"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"document_group":{"type":"string","default":"","maxLength":80},"released_changes":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"documented_changes":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","document_group":"group-a","released_changes":1,"documented_changes":10},{"date":"2026-10-02","row_id":"row-2","document_group":"group-b","released_changes":2,"documented_changes":20},{"date":"2026-10-03","row_id":"row-3","document_group":"group-a","released_changes":3,"documented_changes":15},{"date":"2026-10-04","row_id":"row-4","document_group":"group-b","released_changes":4,"documented_changes":30}],"maxItems":200,"minItems":1},"field":{"enum":["documented_changes","released_changes"],"type":"string","default":"documented_changes"},"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_fh1kigUW2c0puD2vaYIf_","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":"Normalises string fields and fills missing values in release note coverage records (documented_changes, released_changes) for up to 200 rows, producing 2 analytical reports.","exampleAgentPrompt":"Can you clean up my release note coverage records — normalise the strings and fill any missing documented_changes values using median imputation? I have about 50 rows with fields like row_id, document_group, date, documented_changes, and released_changes.","exampleUseCases":[{"title":"Impute missing documented changes with median","prompt":"I have 120 release note rows and some documented_changes values are null — can you fill them using the median method and normalise the string fields at the same time?"},{"title":"Zero-fill missing released changes for reporting","prompt":"Before I run my release coverage report, fill in any missing released_changes values with zero across my 80 release note records and clean up the string formatting."},{"title":"Mean imputation for documentation audit","prompt":"I'm auditing our release note coverage and need to impute missing documented_changes using mean across these 40 rows grouped by document_group — can you normalise strings and give me the two analytical reports?"}],"resultDescription":"Two analytical reports covering the supplied release note coverage records, with string fields normalised and missing values for the selected field (documented_changes or released_changes) filled using the chosen method (zero, mean, or median). Processed for up to 200 rows using local analytical engines with no external lookups.","failureModes":["More than 200 rows submitted — request rejected","Invalid date format (not YYYY-MM-DD) — validation error","Missing required fields (row_id, document_group, date) — schema error","Invalid method enum value — request rejected","Numeric values outside allowed range — validation error","Empty rows array — minimum items constraint violation"],"whenToPreferThis":"Choose this endpoint when you need lightweight, low-cost ($0.01 USDC) string normalisation and missing-value imputation specifically for release note coverage data (documented_changes, released_changes) with up to 200 rows and no need for external data, predictions, or live lookups. It delivers two bundled reports in a single call.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T18:38:42.921Z","isFirstParty":false,"canonicalSlug":"release-note-coverage-string-normalisation-and-missing-value-fill-59d216e5"}