{"uid":"cap_5ZsSuY0Dfvt4V1G4f6DsL","slug":"publication-proofing-daily-sum-series-explicit-missing-value-fill-69488628","name":"Publication Proofing — Daily Sum Series + Explicit Missing-Value Fill","description":"Publication proofing — Daily sum series + Explicit missing-value fill: Daily sum series + Explicit missing-value fill for supplied publication proofing records (checked_pages, flagged_pages). 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-18-145?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","document_group","date","checked_pages","flagged_pages"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"checked_pages":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"flagged_pages":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"document_group":{"type":"string","default":"","maxLength":80}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","checked_pages":10,"flagged_pages":1,"document_group":"group-a"},{"date":"2026-10-02","row_id":"row-2","checked_pages":20,"flagged_pages":2,"document_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","checked_pages":15,"flagged_pages":3,"document_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","checked_pages":30,"flagged_pages":4,"document_group":"group-b"}],"maxItems":200,"minItems":1},"field":{"enum":["checked_pages","flagged_pages"],"type":"string","default":"checked_pages"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"}}},"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_a9R7TsKT5QdTKqvtJTWRM","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 daily sum time series and fills missing values (zero, mean, or median) for publication proofing records tracking checked and flagged pages, across up to 200 rows with two independent reports.","exampleAgentPrompt":"I have publication proofing records for two document groups over the past week — each row has a date, checked_pages, and flagged_pages counts, but some rows have nulls. Can you compute the daily sum series for checked_pages and fill any missing values using median, then give me two reports covering up to 200 rows?","exampleUseCases":[{"title":"Weekly proofreading volume summary","prompt":"Here are my proofreading logs for October — each row has a date, document group, and how many pages were checked and flagged. Can you compute the daily totals for flagged_pages and fill any missing entries with zero so I can see the full week at a glance?"},{"title":"Editorial QA missing-data imputation","prompt":"I'm auditing our editorial pipeline and some days are missing checked_pages counts. Can you run the daily sum series on my dataset and use median imputation to fill the gaps — I have about 150 rows across three document groups?"},{"title":"Document group flagging trend analysis","prompt":"I want to compare flagging rates across document groups over the last month. Can you generate daily sum reports for flagged_pages across my proofing records, filling any nulls with the mean, and give me two independent reports from the same data?"}],"resultDescription":"Returns two independent analytical reports: (1) a daily sum time series aggregating the selected field (checked_pages or flagged_pages) by date, and (2) an explicit missing-value fill report replacing nulls with the chosen method (zero, mean, or median). Both reports are computed locally from the supplied rows with no external lookups.","failureModes":["Rows exceed 200-item limit — request rejected","Date field does not match YYYY-MM-DD pattern — validation error","Both checked_pages and flagged_pages are null for all rows — imputation produces no meaningful output","Invalid fill method enum value — schema validation error","row_id missing or empty — required field error"],"whenToPreferThis":"Choose this endpoint when you have publication proofing records (checked_pages, flagged_pages) and need both a daily sum time series and explicit missing-value imputation in a single low-cost call. It is ideal for editorial or document QA workflows where datasets are small (≤200 rows), no external data lookups are needed, and the analysis is entirely self-contained on supplied data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T12:31:36.735Z","isFirstParty":false,"canonicalSlug":"publication-proofing-daily-sum-series-explicit-missing-value-fill-69488628"}