{"uid":"cap_KHay1fMk2qPxsVrYkB6L-","slug":"document-readability-inputs-string-normalisation-numeric-interval-1c55168e","name":"Document Readability Inputs — String Normalisation + Numeric Interval Filter","description":"Document readability inputs — String normalisation + Numeric interval filter: String normalisation + Numeric interval filter 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-07-026?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"},"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_db1LP1pNLlU3s6IGf0_yx","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 document group strings and filters rows by a numeric interval for sentence_count or word_count fields across up to 200 document readability records, returning two analytical reports.","exampleAgentPrompt":"I have 150 document readability records with sentence_count and word_count fields — can you normalize the document_group strings and filter rows where sentence_count falls between 5 and 80, then give me both reports?","exampleUseCases":[{"title":"Filter articles by sentence count range","prompt":"I have a batch of 120 article readability records with sentence_count and word_count. Can you normalize the document group names and pull out only the rows where sentence_count is between 10 and 50, and give me the two analysis reports?"},{"title":"Clean word count data for writing audit","prompt":"I've got readability data for 80 documents across several writing groups — please normalize the group name strings and filter on word_count between 200 and 2000, so I can see which documents fall in that range."},{"title":"Validate readability metrics for publisher pipeline","prompt":"We track sentence_count per document group and need to normalize the group labels and isolate entries where sentence_count is between 15 and 100 — can you run the string normalization and numeric interval filter reports on our 60 rows?"}],"resultDescription":"Returns two analytical reports: one covering string normalization of the document_group field across the supplied rows, and one showing which rows have the chosen numeric field (sentence_count or word_count) within the specified minimum-maximum interval. Results are computed locally with no external lookups, covering up to 200 input rows.","failureModes":["More than 200 rows submitted — exceeds maxItems limit","Missing required fields (row_id, document_group, date, sentence_count, word_count) in any row","Invalid date format (must match YYYY-MM-DD pattern)","field enum value not one of 'sentence_count' or 'word_count'","minimum or maximum values outside allowed numeric range","Payment not completed — x402 protocol payment of 0.01 USDC required before response"],"whenToPreferThis":"Choose this endpoint when you have a batch of document readability records (up to 200 rows) and need both string normalization of document group labels and a numeric interval filter on either sentence_count or word_count in a single paid call. It is a self-contained, offline analytical tool with no external dependencies, suitable for data cleaning and readability auditing pipelines where predictable pricing (flat $0.01 USDC per call) matters.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T12:50:51.075Z","isFirstParty":false,"canonicalSlug":"document-readability-inputs-string-normalisation-numeric-interval-1c55168e"}