{"uid":"cap_CYEPUcxeOkL-SwgBaMaLp","slug":"editorial-review-exact-row-deduplication-numeric-row-ordering-a739773c","name":"Editorial Review — Exact Row Deduplication + Numeric Row Ordering","description":"Editorial review — Exact row deduplication + Numeric row ordering: Exact row deduplication + Numeric row ordering for supplied editorial review records (comment_count, resolved_comments). 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-03-042?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","document_group","date","comment_count","resolved_comments"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"comment_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"document_group":{"type":"string","default":"","maxLength":80},"resolved_comments":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","comment_count":10,"document_group":"group-a","resolved_comments":1},{"date":"2026-10-02","row_id":"row-2","comment_count":20,"document_group":"group-b","resolved_comments":2},{"date":"2026-10-03","row_id":"row-3","comment_count":15,"document_group":"group-a","resolved_comments":3},{"date":"2026-10-04","row_id":"row-4","comment_count":30,"document_group":"group-b","resolved_comments":4}],"maxItems":200,"minItems":1},"field":{"enum":["comment_count","resolved_comments"],"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_y8qQEvlVEQoYomsvhd-MG","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 editorial review rows exactly and orders them numerically by comment_count or resolved_comments, returning 2 analytical reports for up to 200 rows.","exampleAgentPrompt":"I have these editorial review records with comment_count and resolved_comments fields — can you deduplicate them exactly and order them numerically by comment_count? I'll send up to 50 rows with row_id, document_group, date, comment_count, and resolved_comments.","exampleUseCases":[{"title":"Clean editorial review dataset before reporting","prompt":"I have a batch of editorial review rows that may contain duplicates — each has a row_id, document_group, date, comment_count, and resolved_comments. Can you deduplicate them exactly and sort them numerically by comment_count so I can generate a clean report?"},{"title":"Rank documents by unresolved comment volume","prompt":"I've got 80 editorial review records across several document groups and I need them deduplicated and ordered by resolved_comments from lowest to highest so I can prioritize which docs still need attention."},{"title":"Audit editorial pipeline for duplicate entries","prompt":"My editorial pipeline exported 150 review records and I suspect there are duplicate rows. Can you run exact deduplication on them and then order the results numerically by comment_count so I can review what's left?"}],"resultDescription":"Returns 2 analytical reports: one covering exact row deduplication results (identifying and removing fully duplicate rows) and one covering numeric ordering of rows by the selected field (comment_count or resolved_comments), applied to the supplied dataset of up to 200 editorial review records. No external lookups or predictions are made; all processing is local and deterministic.","failureModes":["Input array exceeds 200 rows — request will be rejected","Missing required fields (row_id, document_group, date, comment_count, resolved_comments) on any row causes validation error","Invalid date format (must match YYYY-MM-DD pattern) causes schema rejection","Numeric values outside allowed range (-1e12 to 1e12) cause validation failure","Empty rows array (minItems: 1 not met) causes error","Invalid field enum value (must be 'comment_count' or 'resolved_comments') causes rejection"],"whenToPreferThis":"Choose this endpoint when you have editorial review data (comment counts, resolved comments) that needs both exact duplicate removal and numeric ordering in a single call, without any need for external lookups or ML predictions. Best when you have up to 200 rows and want two bundled analytical reports cheaply ($0.01 USDC). Prefer alternatives if you need fuzzy deduplication, text normalization, or operations on non-editorial data domains.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:32:59.892Z","isFirstParty":false,"canonicalSlug":"editorial-review-exact-row-deduplication-numeric-row-ordering-a739773c"}