{"uid":"cap_lVbDDjsW0D7Gq6lMAjP5f","slug":"data-catalog-coverage-exact-row-deduplication-numeric-row-ordering-5062806e","name":"Data Catalog Coverage — Exact Row Deduplication + Numeric Row Ordering","description":"Data catalog coverage — Exact row deduplication + Numeric row ordering: Exact row deduplication + 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-21-042?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_cbvhQaagLAJcslraxPQ8u","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":"Deduplicates rows and numerically orders records from data catalog coverage data (documented_fields, total_fields) for up to 200 rows, returning 2 analytical reports.","exampleAgentPrompt":"Deduplicate and numerically sort my data catalog coverage records by documented_fields — I have rows with row_id, dataset_group, date, documented_fields, and total_fields, up to 200 rows, and I need both the deduplication and ordering reports.","exampleUseCases":[{"title":"Clean duplicate catalog field entries","prompt":"I have a list of data catalog coverage records with documented_fields and total_fields for different dataset groups, and some rows look duplicated — can you run exact row deduplication on them and give me the cleaned output?"},{"title":"Rank datasets by total fields covered","prompt":"Sort my data catalog coverage rows numerically by total_fields so I can see which dataset groups have the most fields — here are my rows with row_id, dataset_group, date, documented_fields, and total_fields."},{"title":"Audit catalog documentation completeness","prompt":"I want to deduplicate and then order my data catalog entries by documented_fields to audit which dataset groups are best documented — can you process these coverage records and return both reports?"}],"resultDescription":"Returns two analytical reports: (1) an exact row deduplication report identifying and removing duplicate rows, and (2) a numeric row ordering report sorting rows by the selected field (documented_fields or total_fields), all processed locally without external lookups.","failureModes":["Missing required fields (row_id, dataset_group, date, documented_fields, total_fields) cause validation errors","Input array exceeding 200 rows is rejected","Invalid date format (not YYYY-MM-DD) causes schema validation failure","Non-numeric values in documented_fields or total_fields (when not null) may cause ordering issues","Empty rows array is rejected (minItems: 1)"],"whenToPreferThis":"Choose this endpoint when you need lightweight, local analytical processing of data catalog coverage records specifically — exact deduplication and numeric sorting of documented_fields/total_fields — without any external lookups, ML predictions, or live data enrichment. Ideal for data governance workflows needing fast, deterministic cleaning and ordering of up to 200 catalog coverage rows at minimal cost.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T18:50:03.118Z","isFirstParty":false,"canonicalSlug":"data-catalog-coverage-exact-row-deduplication-numeric-row-ordering-5062806e"}