{"uid":"cap_7XO_vO2ryWnc654pFVGQB","slug":"page-extraction-coverage-numeric-row-ordering-adjacent-row-changes-6801ff75","name":"Page Extraction Coverage — Numeric Row Ordering + Adjacent Row Changes","description":"Page extraction coverage — Numeric row ordering + Adjacent row changes: Numeric row ordering + Adjacent row changes 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-02-116?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_iwipDfcpGvybrVwIi21si","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":"Analyzes page extraction coverage records by computing numeric row ordering and adjacent row change reports for up to 200 rows of extracted_fields vs expected_fields data.","exampleAgentPrompt":"I have page extraction records for group-a and group-b from October 2026 — can you rank them numerically by extracted_fields and show me where adjacent row values change most between rows? Here are 4 rows: row-1 (2026-10-01, group-a, expected 1, extracted 10), row-2 (2026-10-02, group-b, expected 2, extracted 20), row-3 (2026-10-03, group-a, expected 3, extracted 15), row-4 (2026-10-04, group-b, expected 4, extracted 30).","exampleUseCases":[{"title":"Scraping coverage audit across site groups","prompt":"I've got 50 rows of page extraction results across my site groups from last month — can you rank them by extracted_fields numerically and flag where the biggest jumps happen between consecutive rows?"},{"title":"Detecting extraction drops between crawl runs","prompt":"Here are my daily crawl records for November showing extracted_fields and expected_fields per date — I want to see the numeric ordering plus where adjacent rows show the sharpest changes in expected_fields values."},{"title":"QA review of field extraction consistency","prompt":"Can you analyze these 120 extraction coverage records from my QA pipeline? I need a numeric ranking by extracted_fields and a report on adjacent row-to-row changes so I can spot inconsistencies between site groups."}],"resultDescription":"Two analytical reports for the submitted rows: (1) a numeric row ordering ranking rows by the selected field (extracted_fields or expected_fields), and (2) an adjacent row changes report showing value deltas between consecutive rows — both computed locally with no external lookups, covering up to 200 rows.","failureModes":["Missing required fields (row_id, date, extracted_fields, expected_fields) causes validation rejection","Date strings not matching YYYY-MM-DD pattern are rejected","Submitting more than 200 rows exceeds the row limit","Null values in numeric fields may affect ordering and delta calculations","Invalid field enum value (not 'extracted_fields' or 'expected_fields') causes error"],"whenToPreferThis":"Choose this endpoint when you need quick, low-cost dual analytics (numeric ordering + adjacent row change detection) on page extraction coverage data without requiring any external data lookup, prediction, or live service — especially when you have up to 200 rows of extracted_fields vs expected_fields records across multiple site groups and dates.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-29T12:54:07.656Z","isFirstParty":false,"canonicalSlug":"page-extraction-coverage-numeric-row-ordering-adjacent-row-changes-6801ff75"}