{"uid":"cap_2TWxvK03oH0S_swgY9KYg","slug":"duplicate-observations-analyzer-adjacent-row-changes-keyed-dataset-4a0a82ff","name":"Duplicate Observations Analyzer — Adjacent Row Changes + Keyed Dataset Comparison","description":"Duplicate observations — Adjacent row changes + Keyed dataset comparison: Adjacent row changes + Keyed dataset comparison for supplied duplicate observations records (duplicate_rows, total_rows). 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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duplicate observation records (duplicate_rows, total_rows) with two independent local reports: adjacent row change detection and keyed dataset comparison across up to 200 rows.","exampleAgentPrompt":"Run adjacent row change detection and keyed dataset comparison on my duplicate_rows field — I have two versions of the dataset with up to 50 rows each, grouped by dataset_group and dated by day, and I want to see where counts shifted between them.","exampleUseCases":[{"title":"Audit duplicate count drift between ETL runs","prompt":"I ran two ETL jobs this week and want to compare duplicate_rows counts between them — can you run both the adjacent row changes and keyed comparison reports on these two datasets (up to 80 rows each) grouped by pipeline_stage and dated daily?"},{"title":"Monitor duplicate spikes across dataset groups","prompt":"I have a daily log of duplicate_rows and total_rows across three dataset groups for October, about 90 rows total — run the adjacent row change analysis on duplicate_rows so I can see where the counts spiked day over day."},{"title":"Cross-version data quality comparison","prompt":"Compare my two snapshots of duplicate observation records — one from last week and one from this week, each about 60 rows keyed by row_id and dataset_group — and tell me which rows have different duplicate_rows values between the two versions."}],"resultDescription":"Returns two independent analytical reports: (1) an adjacent row change report showing how duplicate_rows or total_rows values shift between consecutive rows, and (2) a keyed dataset comparison report matching rows by key between the primary and secondary dataset to highlight differences in duplicate observation counts. All analysis is performed locally with no external lookups.","failureModes":["Input rows array empty or missing — minItems:1 not satisfied","Row count exceeds 200 — maxItems limit exceeded","Missing required fields (row_id, dataset_group, date, duplicate_rows, total_rows) on any row","Date field does not match YYYY-MM-DD pattern","numeric values out of allowed range (±1,000,000,000,000)","Payment of 0.01 USDC not provided — x402 payment required","field enum value not one of duplicate_rows or total_rows"],"whenToPreferThis":"Choose this endpoint when you have structured duplicate observation records (with duplicate_rows and total_rows) and need both adjacent-row trend detection and a keyed cross-dataset comparison in a single low-cost call. Ideal for data quality audits where you want to compare two snapshots of the same dataset by key without external dependencies. Not suitable for real-time data lookups, predictions, or analysis of more than 200 rows per call.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:58:13.061Z","isFirstParty":false,"canonicalSlug":"duplicate-observations-analyzer-adjacent-row-changes-keyed-dataset-4a0a82ff"}