{"uid":"cap_Im5-MQyycg-VfFGipM_lX","slug":"editorial-review-numeric-interval-filter-daily-sum-series-406e0fe6","name":"Editorial Review — Numeric Interval Filter + Daily Sum Series","description":"Editorial review — Numeric interval filter + Daily sum series: Numeric interval filter + Daily sum series 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-03-125?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"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_w_aCd26JL9Eybim6O1yHC","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":"Filters editorial review rows by a numeric interval and computes daily sum time series for comment_count or resolved_comments fields across up to 200 supplied records.","exampleAgentPrompt":"I have editorial review records for October 2026 with comment_count and resolved_comments — can you filter rows where comment_count is between 5 and 25, and also give me the daily sum series for comment_count across all 4 rows?","exampleUseCases":[{"title":"Daily comment volume trend analysis","prompt":"Here are my editorial review records for last month across groups A and B — filter them to only rows where resolved_comments is between 1 and 3, and show me the daily sum series for resolved_comments so I can see how resolution activity trended day by day."},{"title":"High-comment document group identification","prompt":"I've got 150 editorial review rows with comment counts and dates — can you filter to rows where comment_count falls between 10 and 50, and then give me the daily total comment_count series so I can spot which days had the most annotation activity?"},{"title":"Editorial backlog monitoring by date","prompt":"Filter these editorial review records to where comment_count is between 0 and 20, and compute the daily sum series for comment_count — I want to see how unresolved comment volume accumulates across dates for document group tracking."}],"resultDescription":"Returns two reports: (1) rows from the input filtered to those where the chosen field (comment_count or resolved_comments) falls within the specified [minimum, maximum] interval; (2) a daily sum time series aggregating the chosen field by date across all input rows. Both reports are computed locally against the supplied data, with no external lookups.","failureModes":["Input array empty or missing: validation error returned","Date field malformed (not YYYY-MM-DD format): row rejected or error","Field enum value not in ['comment_count','resolved_comments']: schema validation failure","More than 200 rows supplied: request rejected","Minimum greater than maximum: may return empty filter result with no explicit error","Null numeric values in chosen field: rows may be excluded from aggregation silently"],"whenToPreferThis":"Choose this endpoint when you have up to 200 editorial review records with comment_count and resolved_comments fields and need both a numeric range filter and a daily time series aggregation in a single low-cost call ($0.01 USDC). It is ideal for editorial workflow analytics, content review dashboards, or document annotation monitoring where you supply your own data and need fast, offline computation without external data dependencies.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T12:44:59.621Z","isFirstParty":false,"canonicalSlug":"editorial-review-numeric-interval-filter-daily-sum-series-406e0fe6"}