{"uid":"cap_ThW0DCX016mCmLeUZI-eC","slug":"editorial-review-numeric-distribution-row-ordering-922de00d","name":"Editorial Review — Numeric Distribution & Row Ordering","description":"Editorial review — Numeric distribution + Numeric row ordering: Numeric distribution + 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-03-073?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_wK9pcbJXlFjuqaRM7VuMz","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":"Computes numeric distribution analysis and row ordering reports for editorial review metrics (comment_count, resolved_comments) across up to 200 supplied records.","exampleAgentPrompt":"Can you run a numeric distribution and row ordering analysis on my editorial review data? I have rows with comment_count and resolved_comments for documents like group-a and group-b — run it on the comment_count field across all 4 rows.","exampleUseCases":[{"title":"Comment volume distribution for review sprint","prompt":"I have 50 editorial review records from last sprint with comment_count and resolved_comments per document. Can you analyze the numeric distribution of comment_count across all those rows and also give me a ranked ordering by that field?"},{"title":"Identifying backlogged documents by unresolved comments","prompt":"I want to see which of my 120 editorial review documents have the most comments still open — can you run a distribution and row ordering report on the resolved_comments field so I can spot the backlog?"},{"title":"Document group comparison by review activity","prompt":"We have review records split across two document groups with dates and comment counts. Can you compute the numeric distribution and row ordering for the comment_count field across all 180 rows so we can see where review activity is concentrated?"}],"resultDescription":"Returns two analytical reports for the specified numeric field (comment_count or resolved_comments): a numeric distribution report showing how values are spread across the dataset, and a row ordering report ranking the supplied records by that field — both computed locally from the submitted rows with no external lookups.","failureModes":["Input array exceeds 200 rows — request 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","Field enum value not one of 'comment_count' or 'resolved_comments' causes error","Empty rows array (minItems: 1 not met) rejected","Payment of 0.01 USDC not completed — 402 response returned"],"whenToPreferThis":"Choose this endpoint when you have up to 200 editorial review records with comment and resolution count fields and need both a numeric distribution breakdown and a ranked row ordering in a single low-cost call. It is ideal for document review workflow analytics where no live data lookup or external enrichment is needed — just local statistical computation on supplied data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-30T12:38:33.297Z","isFirstParty":false,"canonicalSlug":"editorial-review-numeric-distribution-row-ordering-922de00d"}