{"uid":"cap_iESKbVJHYkkntaQBClzM6","slug":"content-length-observations-record-quality-audit-string-normalisation-bc7b092e","name":"Content Length Observations — Record Quality Audit + String Normalisation + Numeric Row Ordering","description":"Content length observations — Record quality audit + String normalisation + Numeric row ordering: Record quality audit + String normalisation + Numeric row ordering for supplied content length observations records (word_count, heading_count). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-web-19-196?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","site_group","date","word_count","heading_count"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"site_group":{"type":"string","default":"","maxLength":80},"word_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"heading_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","site_group":"group-a","word_count":10,"heading_count":1},{"date":"2026-10-02","row_id":"row-2","site_group":"group-b","word_count":20,"heading_count":2},{"date":"2026-10-03","row_id":"row-3","site_group":"group-a","word_count":15,"heading_count":3},{"date":"2026-10-04","row_id":"row-4","site_group":"group-b","word_count":30,"heading_count":4}],"maxItems":200,"minItems":1},"field":{"enum":["word_count","heading_count"],"type":"string","default":"word_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_-ikwyA8L0yNzS2qJXyCKU","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":"Runs three local analytical reports (record quality audit, string normalisation, numeric row ordering) on up to 200 rows of content-length observation data containing word_count and heading_count fields.","exampleAgentPrompt":"Can you run a record quality audit, string normalisation, and numeric row ordering on my content length data? I have rows with site_group, date, word_count, and heading_count — please analyse the word_count field across these rows.","exampleUseCases":[{"title":"Content audit before publishing pipeline","prompt":"I have up to 50 rows of content observations with word_count and heading_count per site group and date — can you run a full record quality audit and string normalisation on all of them so I can catch any bad data before we push to production?"},{"title":"Rank articles by word count","prompt":"I've got a batch of content records, each with a row_id, site_group, date, word_count, and heading_count — please generate a numeric row ordering report sorted by word_count so I can see which pages have the most content."},{"title":"Detect data quality issues in heading counts","prompt":"Can you audit my heading_count observation records for quality issues and normalise the strings? I want the three reports — record quality audit, string normalisation, and numeric row ordering — run on the heading_count field for my 120 content rows."}],"resultDescription":"Returns three independent analytical reports for the submitted rows: (1) a record quality audit flagging missing, malformed, or out-of-range values; (2) a string normalisation report standardising text fields such as site_group; and (3) a numeric row ordering report ranking rows by the selected field (word_count or heading_count). All processing is local with no external lookups.","failureModes":["More than 200 rows submitted — exceeds maxItems limit","Missing required fields (row_id, site_group, date, word_count, or heading_count) in one or more rows","Invalid date format not matching YYYY-MM-DD pattern","Invalid field selector value not matching 'word_count' or 'heading_count' enum","Empty rows array submitted"],"whenToPreferThis":"Choose this endpoint when you need a fast, low-cost ($0.01 USDC) batch analytical pass over content-length observation records — specifically for record quality auditing, string normalisation, and numeric ordering of word_count or heading_count data — with no external dependencies or live lookups required. Ideal for pre-pipeline data validation or exploratory data quality checks on up to 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-30T12:37:18.262Z","isFirstParty":false,"canonicalSlug":"content-length-observations-record-quality-audit-string-normalisation-bc7b092e"}