{"uid":"cap_qny4z7Qu8I7Ln5jcRkAuT","slug":"page-extraction-coverage-duplicate-key-report-numeric-row-ordering-fdd0075d","name":"Page Extraction Coverage — Duplicate Key Report + Numeric Row Ordering","description":"Page extraction coverage — Duplicate key report + Numeric row ordering: Duplicate key report + Numeric row ordering for supplied page extraction coverage records (extracted_fields, expected_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-web-02-058?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","site_group","date","extracted_fields","expected_fields"],"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},"expected_fields":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"extracted_fields":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","site_group":"group-a","expected_fields":1,"extracted_fields":10},{"date":"2026-10-02","row_id":"row-2","site_group":"group-b","expected_fields":2,"extracted_fields":20},{"date":"2026-10-03","row_id":"row-3","site_group":"group-a","expected_fields":3,"extracted_fields":15},{"date":"2026-10-04","row_id":"row-4","site_group":"group-b","expected_fields":4,"extracted_fields":30}],"maxItems":200,"minItems":1},"field":{"enum":["extracted_fields","expected_fields"],"type":"string","default":"extracted_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_l59qX1GPnLgTRe7vLGwTL","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":"Generates a duplicate key report and numeric row ordering report for up to 200 page extraction coverage records, analyzing extracted_fields and expected_fields values.","exampleAgentPrompt":"I have a batch of page extraction coverage records with site groups and dates — can you run a duplicate key report and sort them numerically by extracted_fields? Here are my rows: row-1 for group-a on 2026-10-01 with 10 extracted and 1 expected, row-2 for group-b on 2026-10-02 with 20 extracted and 2 expected.","exampleUseCases":[{"title":"Duplicate site-group entry detection","prompt":"I've got 150 rows of page extraction coverage data across multiple site groups and dates — can you check if any row IDs or site_group/date combos are duplicated, and also give me a numeric ordering of those rows by extracted_fields value?"},{"title":"Extraction pipeline data audit","prompt":"My web scraping pipeline logs extracted_fields and expected_fields per site per day. Can you run a duplicate key report on this dataset of about 80 rows and order them numerically by expected_fields so I can spot data entry errors?"},{"title":"Coverage gap ranking for QA review","prompt":"I need to rank these 50 extraction coverage records by their extracted_fields count and flag any duplicate row IDs before I hand the report off to QA — the field I want to order by is extracted_fields."}],"resultDescription":"Returns two independent analytical reports: (1) a duplicate key report identifying rows with repeated key values among the submitted records, and (2) a numeric row ordering report ranking the submitted rows by the selected numeric field (extracted_fields or expected_fields). Up to 200 rows processed per call.","failureModes":["More than 200 rows submitted — request rejected due to maxItems constraint","Missing required fields (row_id, site_group, date, extracted_fields, expected_fields) — validation error","Invalid date format not matching YYYY-MM-DD pattern — schema validation failure","Numeric field values outside allowed range — rejection","Invalid field enum value — schema error"],"whenToPreferThis":"Choose this endpoint when you need lightweight, local analytical processing of page extraction coverage records without any external lookup or live data enrichment. It is ideal for data quality checks on ETL or web scraping pipeline outputs where you need both duplicate detection and numeric ordering in a single low-cost call ($0.01 USDC for both reports).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:31:52.904Z","isFirstParty":false,"canonicalSlug":"page-extraction-coverage-duplicate-key-report-numeric-row-ordering-fdd0075d"}