{"uid":"cap_--eudwF7a-x-lu9kRno5Q","slug":"discussion-response-data-quality-audit-record-quality-string-4481a901","name":"Discussion Response Data Quality Audit — Record Quality, String Normalisation & Numeric Row Ordering","description":"Discussion response — Record quality audit + String normalisation + Numeric row ordering: Record quality audit + String normalisation + Numeric row ordering for supplied discussion response records (response_count, response_minutes). 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-07-196?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","channel_group","date","response_count","response_minutes"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"channel_group":{"type":"string","default":"","maxLength":80},"response_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"response_minutes":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","channel_group":"group-a","response_count":10,"response_minutes":1},{"date":"2026-10-02","row_id":"row-2","channel_group":"group-b","response_count":20,"response_minutes":2},{"date":"2026-10-03","row_id":"row-3","channel_group":"group-a","response_count":15,"response_minutes":3},{"date":"2026-10-04","row_id":"row-4","channel_group":"group-b","response_count":30,"response_minutes":4}],"maxItems":200,"minItems":1},"field":{"enum":["response_count","response_minutes"],"type":"string","default":"response_count"}}},"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_2v9rRtBIyULa-2TVPD9OR","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 discussion response records (response_count, response_minutes) for data quality, normalises strings, and orders rows numerically — producing 3 independent analytical reports for up to 200 rows.","exampleAgentPrompt":"Can you run a full data quality audit, string normalisation, and numeric row ordering on these discussion response records — I have 4 rows with fields like channel_group, date, response_count, and response_minutes — and give me the 3 separate reports?","exampleUseCases":[{"title":"QA check on forum response metrics","prompt":"I have a batch of 50 discussion response records with channel_group, date, response_count, and response_minutes columns — can you audit them for quality issues, normalise any inconsistent string fields, and order them by response_count?"},{"title":"Clean up customer support channel data","prompt":"Before I load this into my dashboard, can you run a quality audit and string normalisation on these 120 support channel response records, and sort the rows numerically by response_minutes?"},{"title":"Weekly data validation for response datasets","prompt":"Every week I get a CSV of discussion response data with up to 200 rows — can you validate record quality, clean up the string fields, and produce a numerically ordered version sorted by response_count?"}],"resultDescription":"Three independent analytical reports covering: (1) a record quality audit flagging data issues in the supplied rows, (2) string normalisation results for text fields like channel_group, and (3) a numerically ordered version of the rows sorted by the chosen field (response_count or response_minutes). All computed locally without external lookups or predictions.","failureModes":["More than 200 rows submitted — batch will be rejected or truncated","Missing required fields (row_id, channel_group, date, response_count, response_minutes) cause row-level errors","Invalid date format (not YYYY-MM-DD) triggers validation failure","Numeric values outside the allowed range (-1e12 to 1e12) may cause errors","Invalid field selector enum value (not response_count or response_minutes) will cause a request error"],"whenToPreferThis":"Choose this endpoint when you need a bundled, low-cost ($0.01 USDC) data quality pass on discussion response records — specifically when you want record auditing, string normalisation, AND numeric ordering in a single call without setting up your own data pipeline. Ideal for small-to-medium datasets (up to 200 rows) where you want offline, local analytical processing without any external API lookups or ML predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T18:34:40.991Z","isFirstParty":false,"canonicalSlug":"discussion-response-data-quality-audit-record-quality-string-4481a901"}