{"uid":"cap_nOHSHB2x-k2bqbZKvVbff","slug":"page-extraction-coverage-exact-row-deduplication-keyed-dataset-41be0ca0","name":"Page Extraction Coverage — Exact Row Deduplication + Keyed Dataset Comparison","description":"Page extraction coverage — Exact row deduplication + Keyed dataset comparison: Exact row deduplication + Keyed dataset comparison 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 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page extraction coverage records and compares two keyed datasets of extracted vs. expected fields, producing two analytical reports for up to 200 rows.","exampleAgentPrompt":"I have two sets of page extraction coverage records — up to 200 rows each with site_group, date, extracted_fields, and expected_fields — can you deduplicate both and compare them as keyed datasets to flag where the two batches differ?","exampleUseCases":[{"title":"QA check on scraper output","prompt":"I've got two runs of page extraction data for group-a and group-b, each with row IDs, dates, and counts of extracted vs expected fields — can you deduplicate both datasets and show me which rows changed between the two runs?"},{"title":"Coverage gap detection across site groups","prompt":"Here are 150 extraction records from our crawl pipeline with site_group, date, extracted_fields, and expected_fields — please deduplicate them and compare against our baseline dataset to find where coverage dropped."},{"title":"Reconciling two extraction batches","prompt":"I pulled page extraction coverage from two different systems — both have the same row IDs but possibly different extracted_fields values — can you deduplicate each set and give me a keyed comparison so I know which rows diverge?"}],"resultDescription":"Two analytical reports: (1) an exact row deduplication summary identifying duplicate records within the submitted dataset, and (2) a keyed dataset comparison highlighting rows that differ between the primary and secondary dataset based on row_id keys, covering fields like extracted_fields and expected_fields. No external lookups or predictions are made — analysis is performed locally on the supplied data.","failureModes":["Rows exceeding 200 items will be rejected (maxItems constraint)","Missing required fields (row_id, site_group, date, extracted_fields, expected_fields) cause validation errors","Malformed date strings not matching YYYY-MM-DD pattern will fail schema validation","Numeric values outside ±1,000,000,000,000 range will be rejected","Empty rows array (minItems: 1) will fail validation"],"whenToPreferThis":"Choose this endpoint when you need to deduplicate page extraction coverage records and simultaneously compare two keyed datasets of the same schema — particularly when working with web scraping pipelines where extracted vs. expected field counts must be reconciled across site groups and dates. Ideal for small-to-medium datasets (up to 200 rows) where you want two independent analytical reports in a single $0.01 call without any external API dependencies.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-30T19:11:08.243Z","isFirstParty":false,"canonicalSlug":"page-extraction-coverage-exact-row-deduplication-keyed-dataset-41be0ca0"}