{"uid":"cap_wdTtOl-BC5vRpPGrkvUrW","slug":"document-readability-inputs-string-normalisation-numeric-row-ordering-453627db","name":"Document Readability Inputs — String Normalisation + Numeric Row Ordering","description":"Document readability inputs — String normalisation + Numeric row ordering: String normalisation + Numeric row ordering for supplied document readability inputs records (sentence_count, word_count). 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-07-025?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","document_group","date","sentence_count","word_count"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"word_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"document_group":{"type":"string","default":"","maxLength":80},"sentence_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","word_count":1,"document_group":"group-a","sentence_count":10},{"date":"2026-10-02","row_id":"row-2","word_count":2,"document_group":"group-b","sentence_count":20},{"date":"2026-10-03","row_id":"row-3","word_count":3,"document_group":"group-a","sentence_count":15},{"date":"2026-10-04","row_id":"row-4","word_count":4,"document_group":"group-b","sentence_count":30}],"maxItems":200,"minItems":1},"field":{"enum":["sentence_count","word_count"],"type":"string","default":"sentence_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_U-o07Ap1mxS8mgZk-2lTX","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 orders rows numerically for up to 200 document readability records (sentence_count, word_count), returning 2 independent analytical reports.","exampleAgentPrompt":"Can you normalise the document group strings and order the rows by sentence_count for these 4 document records — row-1 (group-a, 2026-10-01, 10 sentences, 1 word), row-2 (group-b, 2026-10-02, 20 sentences, 2 words), row-3 (group-a, 2026-10-03, 15 sentences, 3 words), row-4 (group-b, 2026-10-04, 30 sentences, 4 words) — and give me both analytical reports?","exampleUseCases":[{"title":"Readability audit for a writing corpus","prompt":"I have 50 document records with sentence counts and word counts across two groups — can you normalise the group name strings and sort all rows by sentence_count, then give me the two readability reports?"},{"title":"Cleaning exported writing stats before analysis","prompt":"I exported these 120 rows of document stats from our CMS with sentence_count and word_count fields — please normalise the document_group strings and order the rows numerically by word_count so I can use them downstream."},{"title":"Comparing readability across document batches","prompt":"Can you run string normalisation and numeric row ordering on these 200 document readability records grouped by project name, using sentence_count as the ordering field, and return both independent reports?"}],"resultDescription":"Two independent analytical reports covering: (1) normalised string values for the document_group field across all submitted rows, and (2) rows reordered numerically by the selected field (sentence_count or word_count). Results are derived entirely from the supplied data using local analytical engines — no external lookups or predictions are made.","failureModes":["Fewer than 1 row submitted — validation error","More than 200 rows submitted — rejected, maxItems exceeded","Invalid date format (not YYYY-MM-DD) — schema validation failure","Missing required fields (row_id, document_group, date, sentence_count, word_count) — validation error","field enum value not in ['sentence_count','word_count'] — schema rejection","Null numeric values for both sentence_count and word_count — may produce incomplete ordering report","Payment not provided or insufficient — x402 payment required"],"whenToPreferThis":"Choose this endpoint when you have up to 200 document readability records (sentence_count, word_count) and need both string normalisation of group labels and numeric row ordering in a single low-cost call ($0.01 USDC for 2 reports). Prefer this over general-purpose data tools when you want a reproducible, offline analytical transformation with no external dependencies or live data lookups.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-04T18:50:14.401Z","isFirstParty":false,"canonicalSlug":"document-readability-inputs-string-normalisation-numeric-row-ordering-453627db"}