{"uid":"cap_uTN7ZBTUR3GrGy4xsYAQW","slug":"data-catalog-coverage-string-normalisation-numeric-row-ordering-b62a5fe6","name":"Data Catalog Coverage — String Normalisation + Numeric Row Ordering","description":"Data catalog coverage — String normalisation + Numeric row ordering: String normalisation + Numeric row ordering for supplied data catalog coverage records (documented_fields, total_fields). 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-analytics-21-025?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","documented_fields","total_fields"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"total_fields":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80},"documented_fields":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","total_fields":1,"dataset_group":"group-a","documented_fields":10},{"date":"2026-10-02","row_id":"row-2","total_fields":2,"dataset_group":"group-b","documented_fields":20},{"date":"2026-10-03","row_id":"row-3","total_fields":3,"dataset_group":"group-a","documented_fields":15},{"date":"2026-10-04","row_id":"row-4","total_fields":4,"dataset_group":"group-b","documented_fields":30}],"maxItems":200,"minItems":1},"field":{"enum":["documented_fields","total_fields"],"type":"string","default":"documented_fields"}}},"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_OgUjZVve0K2E953KyqXBq","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 dataset_group strings and orders rows numerically by documented_fields or total_fields for up to 200 data catalog coverage records, returning two independent analytical reports.","exampleAgentPrompt":"Can you normalize the dataset group strings and order these catalog coverage rows numerically by documented_fields? I have 4 rows: row-1 for group-a on 2026-10-01 with 10 documented and 1 total field, row-2 for group-b on 2026-10-02 with 20 documented and 2 total fields, row-3 for group-a on 2026-10-03 with 15 documented and 3 total fields, and row-4 for group-b on 2026-10-04 with 30 documented and 4 total fields.","exampleUseCases":[{"title":"Catalog audit string cleanup","prompt":"I have a list of 50 data catalog coverage records with inconsistent dataset group names like 'Group A', 'group-a', and 'GROUP A' — can you normalize those strings and also give me the rows ordered numerically by documented_fields?"},{"title":"Coverage completeness ranking","prompt":"I need to rank my data catalog entries by total_fields so I can see which dataset groups have the most fields. Here are 30 rows with row_id, dataset_group, date, documented_fields, and total_fields — please normalize the group names and order them by total_fields."},{"title":"Data quality pipeline preprocessing","prompt":"Before I run my quality checks, can you normalize the dataset_group strings and produce a numeric row ordering by documented_fields for these 100 catalog coverage records I'm about to feed into my pipeline?"}],"resultDescription":"Returns two independent analytical reports: (1) a string normalisation report for the dataset_group field across all supplied rows, and (2) a numeric row ordering report ranking rows by the selected numeric field (documented_fields or total_fields). Both reports are generated locally with no external lookups, covering up to 200 input rows.","failureModes":["More than 200 rows submitted — request rejected due to maxItems constraint","Missing required fields (row_id, dataset_group, date, documented_fields, total_fields) — validation error","Invalid date format (not YYYY-MM-DD) — schema validation failure","Numeric field values outside allowed range (-1e12 to 1e12) — validation error","Empty rows array — minItems constraint violation","Payment not received or insufficient USDC — x402 payment required error"],"whenToPreferThis":"Choose this endpoint when you need lightweight, fast, offline-style analytics on data catalog coverage records specifically — combining string normalisation of group labels with numeric ordering of documented or total field counts in a single paid call. Ideal for data governance pipelines, catalog audits, or preprocessing steps where no external lookup, prediction, or live data fetch is needed and the dataset fits within 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T18:50:00.496Z","isFirstParty":false,"canonicalSlug":"data-catalog-coverage-string-normalisation-numeric-row-ordering-b62a5fe6"}