{"uid":"cap_Ks56SylQz3Yl7ZX7ODJ1b","slug":"editorial-review-analytics-numeric-distribution-secondary-measure-46ea262e","name":"Editorial Review Analytics — Numeric Distribution & Secondary-Measure Weighted Mean","description":"Editorial review — Numeric distribution + Secondary-measure weighted mean: Numeric distribution + Secondary-measure weighted mean 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-03-082?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_EuLIxIsXvd_IE2KmvgD9k","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 statistics and a secondary-measure weighted mean for editorial review records containing comment_count and resolved_comments fields, returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"Can you run a numeric distribution and weighted mean analysis on these editorial review records — I have up to 50 rows with comment_count and resolved_comments fields grouped by document_group, and I want to analyze the comment_count field?","exampleUseCases":[{"title":"Editorial comment load distribution","prompt":"I have 80 editorial review records with comment counts and resolved comments across several document groups. Can you compute the numeric distribution of comment_count across all rows so I can see where the review load is concentrated?"},{"title":"Resolution rate weighted mean by document group","prompt":"Here are 120 rows of editorial feedback data with document_group, comment_count, and resolved_comments. Can you calculate the secondary-measure weighted mean using resolved_comments as the field so I understand average resolution rates weighted by group size?"},{"title":"Writing team review analytics","prompt":"Our writing team has 150 editorial review records from the past quarter with comment_count and resolved_comments. Run a numeric distribution and weighted mean report on comment_count so I can see how comments are spread and what the weighted average looks like."}],"resultDescription":"Two analytical reports: (1) a numeric distribution breakdown of the selected field (comment_count or resolved_comments) across the supplied rows, and (2) a secondary-measure weighted mean computed across the editorial review records — both derived locally from the supplied data without any external lookup.","failureModes":["Missing required fields (row_id, document_group, date, comment_count, resolved_comments) cause validation errors","Exceeding 200 rows returns an error or truncates input","Invalid date format (not YYYY-MM-DD) fails schema validation","Null values in both numeric fields may produce incomplete statistics","Invalid field enum value (not comment_count or resolved_comments) causes rejection","Empty rows array returns an error"],"whenToPreferThis":"Choose this endpoint when you have a batch of editorial review records (up to 200 rows) and need both a numeric distribution and a secondary-measure weighted mean in a single call for $0.01 USDC. It is ideal for document review pipelines, writing workflow analytics, or editorial QA processes where comment activity metrics need statistical summarization without any external data enrichment.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-04T18:50:20.742Z","isFirstParty":false,"canonicalSlug":"editorial-review-analytics-numeric-distribution-secondary-measure-46ea262e"}