{"uid":"cap_AcoTO7EJM9WBkuiuyEamj","slug":"comment-inventories-record-quality-audit-string-normalisation-numeric-ac84c6a0","name":"Comment Inventories: Record Quality Audit + String Normalisation + Numeric Row Ordering","description":"Comment inventories — Record quality audit + String normalisation + Numeric row ordering: Record quality audit + String normalisation + Numeric row ordering for supplied comment inventories records (comment_count, unique_author_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-16-196?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","channel_group","date","comment_count","unique_author_count"],"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},"comment_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"unique_author_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","channel_group":"group-a","comment_count":10,"unique_author_count":1},{"date":"2026-10-02","row_id":"row-2","channel_group":"group-b","comment_count":20,"unique_author_count":2},{"date":"2026-10-03","row_id":"row-3","channel_group":"group-a","comment_count":15,"unique_author_count":3},{"date":"2026-10-04","row_id":"row-4","channel_group":"group-b","comment_count":30,"unique_author_count":4}],"maxItems":200,"minItems":1},"field":{"enum":["comment_count","unique_author_count"],"type":"string","default":"comment_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_qIX7EjRWkqlHecI9e9rqo","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 data quality, normalises strings, and sorts rows numerically for up to 200 comment inventory records containing comment_count and unique_author_count fields.","exampleAgentPrompt":"Can you run a record quality audit, string normalisation, and numeric row ordering on my comment inventory data? I have rows with channel_group, date, comment_count, and unique_author_count — up to 50 rows — and I want the analysis done on the comment_count field.","exampleUseCases":[{"title":"Community engagement data cleanup","prompt":"I have a dataset of daily comment counts and unique author counts across different channel groups and I want to check data quality, normalise the channel group names, and sort rows by comment_count — can you run all three reports on it?"},{"title":"Author count ordering for editorial review","prompt":"Please audit the quality of my comment inventory records, normalise any string fields, and order the rows numerically by unique_author_count — here are my 80 rows with row_id, date, channel_group, comment_count, and unique_author_count."},{"title":"Pre-reporting data validation for comment metrics","prompt":"Before I put together my monthly report I need to validate this comment inventory dataset — run the record quality audit, string normalisation, and numeric ordering on these rows so I can catch any issues in the comment_count figures."}],"resultDescription":"Three independent analytical reports generated locally: (1) a record quality audit flagging issues in the supplied rows, (2) a string normalisation report for text fields like channel_group, and (3) a numeric row ordering report sorting rows by the selected field (comment_count or unique_author_count). No external data is fetched or predicted.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, date, channel_group, comment_count, unique_author_count) causes rejection","Invalid date format (not YYYY-MM-DD) triggers schema validation failure","Numeric values outside allowed range cause input rejection","Empty rows array is rejected (minItems: 1)","Invalid field enum value (not comment_count or unique_author_count) causes error"],"whenToPreferThis":"Choose this endpoint when you need three bundled local analytical operations — quality audit, string normalisation, and numeric ordering — on comment inventory data (comment_count, unique_author_count) in a single low-cost call. Ideal for pre-processing comment engagement datasets before reporting or downstream analysis, when no live lookups or predictions are needed and data stays within the supplied rows (up to 200).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:31:40.796Z","isFirstParty":false,"canonicalSlug":"comment-inventories-record-quality-audit-string-normalisation-numeric-ac84c6a0"}