{"uid":"cap_SdauZSxrcuRuKzLwPEw-m","slug":"source-diversity-record-quality-audit-string-normalisation-missing-74fc39fb","name":"Source Diversity Record Quality Audit, String Normalisation & Missing-Value Fill","description":"Source diversity — Record quality audit + String normalisation + Explicit missing-value fill: Record quality audit + String normalisation + Explicit missing-value fill for supplied source diversity records (source_count, outlet_count). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-news-17-208?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","channel_group","date","source_count","outlet_count"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"outlet_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"source_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"channel_group":{"type":"string","default":"","maxLength":80}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","outlet_count":1,"source_count":10,"channel_group":"group-a"},{"date":"2026-10-02","row_id":"row-2","outlet_count":2,"source_count":20,"channel_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","outlet_count":3,"source_count":15,"channel_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","outlet_count":4,"source_count":30,"channel_group":"group-b"}],"maxItems":200,"minItems":1},"field":{"enum":["source_count","outlet_count"],"type":"string","default":"source_count"},"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_Fh9FWXp93PGBFNwpDeEQC","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":"Audits record quality, normalises strings, and fills missing values for source diversity data (source_count, outlet_count) across up to 200 rows, producing 3 independent analytical reports.","exampleAgentPrompt":"Can you audit the record quality, normalise the strings, and fill any missing source_count values using median imputation for these 4 rows of source diversity data: row-1 (2026-10-01, group-a, source_count=10, outlet_count=1), row-2 (2026-10-02, group-b, source_count=null, outlet_count=2), row-3 (2026-10-03, group-a, source_count=15, outlet_count=3), row-4 (2026-10-04, group-b, source_count=30, outlet_count=null)?","exampleUseCases":[{"title":"Pre-reporting source diversity data cleanup","prompt":"I have a batch of 50 source diversity records with channel groups and daily source counts — some values are missing or have inconsistent string formatting. Can you run a full quality audit, normalise the strings, and fill the missing source_count values using median imputation?"},{"title":"Outlet count missing value imputation","prompt":"Several outlet_count entries in my dataset are null. Can you fill those missing outlet_count values using mean imputation across these rows, and also give me a record quality audit while you're at it?"},{"title":"News channel group string normalisation","prompt":"My news source dataset has messy channel_group labels with inconsistent capitalisation and spacing. Can you normalise those strings, audit the overall record quality, and fill any missing source_count fields with zeros for these 100 rows?"}],"resultDescription":"Three independent analytical reports per call: (1) a record quality audit flagging completeness and consistency issues, (2) a string normalisation report for text fields like channel_group, and (3) an explicit missing-value fill report for the chosen numeric field (source_count or outlet_count) using the selected imputation method (zero, mean, or median). All processing is local with no external lookups.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, channel_group, date, source_count, outlet_count) causes row-level rejection","Invalid date format (not YYYY-MM-DD) triggers a pattern validation failure","Invalid enum values for field or method result in schema rejection","Empty rows array returns an error"],"whenToPreferThis":"Choose this endpoint when you need a combined record quality audit, string normalisation, and missing-value imputation on source diversity data (source_count, outlet_count) in a single low-cost call. It is best suited for small-to-medium batches (up to 200 rows) of news or media source diversity records where no external data lookup or prediction is needed — purely local analytical processing. Prefer alternatives if you need live data enrichment, predictive modelling, or processing more than 200 rows at once.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T12:49:47.369Z","isFirstParty":false,"canonicalSlug":"source-diversity-record-quality-audit-string-normalisation-missing-74fc39fb"}