{"uid":"cap_q89Z0DB2HG4wjx3QttpOP","slug":"document-section-coverage-string-normalisation-numeric-row-ordering-5020ac28","name":"Document Section Coverage — String Normalisation + Numeric Row Ordering","description":"Document section coverage — String normalisation + Numeric row ordering: String normalisation + Numeric row ordering 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-01-025?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"}}},"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_Ab4CNja2nGqFXeN9yueVX","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":"Normalises string fields and applies numeric row ordering to document section coverage records (present_sections, required_sections) across up to 200 rows, returning two analytical reports.","exampleAgentPrompt":"Can you run string normalisation and numeric row ordering on my document section coverage data? I have rows with row_id, document_group, date, present_sections, and required_sections — up to 50 rows across groups like 'compliance-docs' and 'onboarding-guides', and I want the field 'present_sections' analysed across both reports.","exampleUseCases":[{"title":"Compliance document coverage audit","prompt":"I have 80 compliance document records with present_sections and required_sections counts per group — can you normalise the string fields and sort them numerically by present_sections so I can see which groups have the worst coverage?"},{"title":"Onboarding checklist completeness ranking","prompt":"Run string normalisation and numeric row ordering on my onboarding checklist coverage rows — I have about 40 entries with document_group, date, present_sections, and required_sections fields, and I want the report to focus on the required_sections field."},{"title":"Policy document section gap analysis","prompt":"I've got 120 rows of policy document coverage data with present_sections and required_sections for each group, dating from 2025-01-01 to 2025-06-30 — can you normalise the strings and order them numerically so I can see the gaps clearly?"}],"resultDescription":"Two independent analytical reports covering: (1) string-normalised versions of the input document section coverage records, and (2) rows reordered numerically by the selected field (present_sections or required_sections). Reports are generated locally without external lookups or predictions.","failureModes":["More than 200 rows submitted — request rejected at maximum item limit","Missing required fields (row_id, document_group, date, present_sections, required_sections) cause validation errors","Invalid date format (must match YYYY-MM-DD pattern) triggers schema rejection","Null values in present_sections or required_sections may affect numeric ordering output","Invalid field selector (not 'present_sections' or 'required_sections') causes enum validation failure"],"whenToPreferThis":"Choose this endpoint when you need lightweight, offline string normalisation and numeric ordering for document section coverage records without any live data lookup, external API calls, or predictive modelling. Ideal for batches up to 200 rows where you need two consistent analytical passes (string and numeric) in a single low-cost call. Not suitable for real-time document retrieval, natural language generation, or coverage prediction.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-30T12:38:20.815Z","isFirstParty":false,"canonicalSlug":"document-section-coverage-string-normalisation-numeric-row-ordering-5020ac28"}