{"uid":"cap_RL6I0N8IXgO8u1BSdITOh","slug":"document-section-coverage-string-normalisation-trailing-mean-series-18337712","name":"Document Section Coverage — String Normalisation + Trailing Mean Series","description":"Document section coverage — String normalisation + Trailing mean series: String normalisation + Trailing mean series for supplied document section coverage records (present_sections, required_sections). 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-01-028?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","document_group","date","present_sections","required_sections"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"document_group":{"type":"string","default":"","maxLength":80},"present_sections":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"required_sections":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","document_group":"group-a","present_sections":10,"required_sections":1},{"date":"2026-10-02","row_id":"row-2","document_group":"group-b","present_sections":20,"required_sections":2},{"date":"2026-10-03","row_id":"row-3","document_group":"group-a","present_sections":15,"required_sections":3},{"date":"2026-10-04","row_id":"row-4","document_group":"group-b","present_sections":30,"required_sections":4}],"maxItems":200,"minItems":1},"field":{"enum":["present_sections","required_sections"],"type":"string","default":"present_sections"},"window":{"type":"integer","default":2,"maximum":200,"minimum":2}}},"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_sJeTQMvjpNc7x4UXRR761","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 string normalisation and trailing mean time series for document section coverage data (present_sections, required_sections) across up to 200 rows, returning two analytical reports.","exampleAgentPrompt":"Run string normalisation and trailing mean series (window size 7) on my document section coverage data — I have 50 rows with present_sections values across two document groups over the past two months, and I want the report for the present_sections field.","exampleUseCases":[{"title":"Document compliance trend monitoring","prompt":"I have 120 rows of daily document section coverage records across three document groups from Q1. Can you run string normalisation and a trailing mean series with a window of 5 on the present_sections field so I can see smoothed compliance trends?"},{"title":"Required sections gap analysis","prompt":"Take these 80 rows of document audit data and give me the string normalisation report plus trailing mean series for the required_sections field using a window of 10 — I need to understand how the required section counts are trending across groups."},{"title":"Section coverage data cleanup and smoothing","prompt":"I've got a messy dataset of 30 document section coverage rows with dates from last quarter. Run the string normalisation and trailing mean with window 3 on present_sections so I can clean up the values and see the rolling average trend."}],"resultDescription":"Returns two analytical reports: (1) a string normalisation report cleaning and standardising the selected field values across the submitted rows, and (2) a trailing mean series showing rolling window averages of the selected field (present_sections or required_sections) over time. Both reports are computed locally with no external lookups.","failureModes":["Fewer than 1 row submitted — request rejected","More than 200 rows submitted — exceeds batch limit","Missing required fields (row_id, date, present_sections, required_sections) — validation error","Date not matching YYYY-MM-DD format — pattern mismatch error","Window size outside 2–200 range — parameter validation error","Null values in selected field may affect trailing mean computation"],"whenToPreferThis":"Choose this endpoint when you need both string normalisation and trailing mean smoothing applied to document section coverage records in a single low-cost call. It is ideal for lightweight, offline analytical work on up to 200 rows of section coverage data without requiring external data sources, predictions, or professional assessments. Best suited for document compliance monitoring, content quality tracking, or any scenario where you need cleaned and smoothed section count time series.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T12:48:38.087Z","isFirstParty":false,"canonicalSlug":"document-section-coverage-string-normalisation-trailing-mean-series-18337712"}